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Name
Label
Description
DataType
Groups
activity monitor 12m
Activity monitor worn by participant at 12m.
Categorical
activity monitor 6m
Activity monitor worn by participant at 6m.
Categorical
activity monitor bl
Activity monitor worn by participant at bl.
Categorical
ADDQoL Appearance 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at 12m.
Categorical
ADDQoL Appearance 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at 6m.
Categorical
ADDQoL Appearance bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at baseline.
Categorical
ADDQoL Appearance weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at 12m.
Categorical
ADDQoL Appearance weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at 6m.
Categorical
ADDQoL Appearance weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at baseline.
Categorical
ADDQoL Confidence 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at 12m.
Categorical
ADDQoL Confidence 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at 6m.
Categorical
ADDQoL Confidence bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at baseline.
Categorical
ADDQoL Confidence weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at 12m.
Categorical
ADDQoL Confidence weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at 6m.
Categorical
ADDQoL Confidence weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at baseline.
Categorical
ADDQoL Depend 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at 12m.
Categorical
ADDQoL Depend 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at 6m.
Categorical
ADDQoL Depend bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at baseline.
Categorical
ADDQoL Depend weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at 12m.
Categorical
ADDQoL Depend weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at 6m.
Categorical
ADDQoL Depend weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at baseline.
Categorical
ADDQoL Drink 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at 12m.
Categorical
ADDQoL Drink 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at 6m.
Categorical
ADDQoL Drink bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at baseline.
Categorical
ADDQoL Drink weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at 12m.
Categorical
ADDQoL Drink weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at 6m.
Categorical
ADDQoL Drink weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at baseline.
Categorical
ADDQoL Eat 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at 12m.
Categorical
ADDQoL Eat 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at 6m.
Categorical
ADDQoL Eat bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at baseline.
Categorical
ADDQoL Eat weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at 12m.
Categorical
ADDQoL Eat weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at 6m.
Categorical
ADDQoL Eat weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at baseline.
Categorical
ADDQoL Family 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at 12m.
Categorical
ADDQoL Family 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at 6m.
Categorical
ADDQoL Family bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at baseline.
Categorical
ADDQoL Family weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at 12m.
Categorical
ADDQoL Family weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at 6m.
Categorical
ADDQoL Family weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at baseline.
Categorical
ADDQoL Family yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at 12m.
Categorical
ADDQoL Family yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at 6m.
Categorical
ADDQoL Family yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at baseline.
Categorical
ADDQoL Finance 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at 12m.
Categorical
ADDQoL Finance 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at 6m.
Categorical
ADDQoL Finance bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at baseline.
Categorical
ADDQoL Finance weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at 12m.
Categorical
ADDQoL Finance weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at 6m.
Categorical
ADDQoL Finance weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at baseline.
Categorical
ADDQoL Friends 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at 12m.
Categorical
ADDQoL Friends 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at 6m.
Categorical
ADDQoL Friends bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at baseline.
Categorical
ADDQoL Friends weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at 12m.
Categorical
ADDQoL Friends weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at 6m.
Categorical
ADDQoL Friends weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at baseline.
Categorical
ADDQoL Future 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at 12m.
Categorical
ADDQoL Future 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at 6m.
Categorical
ADDQoL Future bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at baseline.
Categorical
ADDQoL Future weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at 12m.
Categorical
ADDQoL Future weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at 6m.
Categorical
ADDQoL Future weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at baseline.
Categorical
ADDQoL Holidays 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at 12m.
Categorical
ADDQoL Holidays 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at 6m.
Categorical
ADDQoL Holidays bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at baseline.
Categorical
ADDQoL Holidays weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at 12m.
Categorical
ADDQoL Holidays weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at 6m.
Categorical
ADDQoL Holidays weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at baseline.
Categorical
ADDQoL Holidays yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at 12m.
Categorical
ADDQoL Holidays yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at 6m.
Categorical
ADDQoL Holidays yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at baseline.
Categorical
ADDQoL leisure 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at 12m.
Categorical
ADDQoL leisure 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at 6m.
Categorical
ADDQoL leisure bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at baseline.
Categorical
ADDQoL Leisure weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at 12m.
Categorical
ADDQoL Leisure weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at 6m.
Categorical
ADDQoL Leisure weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at baseline.
Categorical
ADDQoL Living 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at 12m.
Categorical
ADDQoL Living 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at 6m.
Categorical
ADDQoL Living bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at baseline.
Categorical
ADDQoL Living weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at 12m.
Categorical
ADDQoL Living weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at 6m.
Categorical
ADDQoL Living weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at baseline.
Categorical
ADDQoL Motivation 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at 12m.
Categorical
ADDQoL Motivation 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at 6m.
Categorical
ADDQoL Motivation bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at baseline.
Categorical
ADDQoL Motivation weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at 12m.
Categorical
ADDQoL Motivation weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at 6m.
Categorical
ADDQoL Motivation weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at baseline.
Categorical
ADDQoL Partner 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at 12m.
Categorical
ADDQoL Partner 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at 6m.
Categorical
ADDQoL Partner bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at baseline.
Categorical
ADDQoL Partner weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at 12m.
Categorical
ADDQoL Partner weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at 6m.
Categorical
ADDQoL Partner weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at baseline.
Categorical
ADDQoL Partner yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at 12m.
Categorical
ADDQoL Partner yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at 6m.
Categorical
ADDQoL Partner yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at baseline.
Categorical
ADDQoL People 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at 12m.
Categorical
ADDQoL People 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at 6m.
Categorical
ADDQoL People bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at baseline.
Categorical
ADDQoL People weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at 12m.
Categorical
ADDQoL People weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at 6m.
Categorical
ADDQoL People weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at baseline.
Categorical
ADDQoL Physical 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at 12m.
Categorical
ADDQoL Physical 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at 6m.
Categorical
ADDQoL Physical bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at baseline.
Categorical
ADDQoL Physical weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at 12m.
Categorical
ADDQoL Physical weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at 6m.
Categorical
ADDQoL Physical weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at baseline.
Categorical
ADDQoL Sex 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at 12m.
Categorical
ADDQoL Sex 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at 6m.
Categorical
ADDQoL Sex bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at baseline.
Categorical
ADDQoL Sex weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at 12m.
Categorical
ADDQoL Sex weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at 6m.
Categorical
ADDQoL Sex weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at baseline.
Categorical
ADDQoL Sex yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at 12m.
Categorical
ADDQoL Sex yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at 6m.
Categorical
ADDQoL Sex yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at baseline.
Categorical
ADDQoL Travel 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at 12m.
Categorical
ADDQoL Travel 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at 6m.
Categorical
ADDQoL Travel bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at baseline.
Categorical
ADDQoL Travel weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at 12m.
Categorical
ADDQoL Travel weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at 6m.
Categorical
ADDQoL Travel weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at baseline.
Categorical
ADDQoL Work 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at 12m.
Categorical
ADDQoL Work 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at 6m.
Categorical
ADDQoL Work bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at baseline.
Categorical
ADDQoL Work weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at 12m.
Categorical
ADDQoL Work weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at 6m.
Categorical
ADDQoL Work weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at baseline.
Categorical
ADDQoL Work yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at 12m.
Categorical
ADDQoL Work yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at 6m.
Categorical
ADDQoL Work yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at baseline.
Categorical
ADDQoL general QoL 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at 12m.
Categorical
ADDQoL general QoL 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at 6m.
Categorical
ADDQoL general QoL bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at baseline.
Categorical
ADDQoL 12m
ADDQoL questionnaire. Number of missing answers at 12m.
Integer
ADDQoL bl
ADDQoL questionnaire. Number of missing answers at baseline.
Integer
ADDQoL QoL noDM 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at 12m.
Categorical
ADDQoL QoL noDM 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at 6m.
Categorical
ADDQoL QoL noDM bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at baseline.
Categorical
ADDQoL 12m
ADDQoL questionnaire. Overall score at 12 months. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
ADDQoL 6m
ADDQoL questionnaire. Overall score at 6 months. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
ADDQoL bl
ADDQoL questionnaire. Overall score at baseline. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
age at 12m
Age at expected date of 12m follow-up (if more precise age needed, calculate from measure date and age_bl)
Integer
age at 6m
Age at expected date of 6m follow-up (if more precise age needed, calculate from measure date and age_bl)
Integer
meds list 12m
List of ATC-coded prescribed medications at 12 months. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds,
meds list 6m
List of ATC-coded prescribed medications at 6 months. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds,
meds list bl
List of ATC-coded prescribed medications at baseline. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds,
Calib method 12m
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). 12-month measure.
Text
Calib method 6m
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). 6-month measure.
Text
Calib method bl
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). Baseline measure.
Text
Calib type 12m
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. 12-month measure.
Text
Calib type 6m
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. 6-month measure.
Text
Calib type bl
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. Baseline measure.
Text
Device serial number 12m
Device serial number of monitor used for data collection. 12-month measure.
Integer
Device serial number 6m
Device serial number of monitor used for data collection. 6-month measure.
Integer
Device serial number bl
Device serial number of monitor used for data collection. Baseline measure.
Integer
Time>=0 mg consolidated 12m
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=0 mg consolidated 6m
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=0 mg consolidated bl
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=0 imputed 12m
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=0 imputed 6m
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=0 imputed bl
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=0 non-imputed 12m
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=0 non-imputed 6m
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=0 non-imputed bl
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=1000 mg consolidated 12m
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=1000 mg consolidated 6m
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=1000 mg consolidated bl
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=1000 imputed 12m
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=1000 imputed 6m
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=1000 imputed bl
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=1000 non-imputed 12m
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=1000 non-imputed 6m
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=1000 non-imputed bl
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=100 mg consolidated 12m
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=100 mg consolidated 6m
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=100 mg consolidated bl
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=100 imputed 12m
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=100 imputed 6m
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=100 imputed bl
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=100 non-imputed 12m
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=100 non-imputed 6m
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=100 non-imputed bl
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=105 mg consolidated 12m
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=105 mg consolidated 6m
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=105 mg consolidated bl
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=105 imputed 12m
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=105 imputed 6m
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=105 imputed bl
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=105 non-imputed 12m
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=105 non-imputed 6m
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=105 non-imputed bl
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=10 mg consolidated 12m
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=10 mg consolidated 6m
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=10 mg consolidated bl
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=10 imputed 12m
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=10 imputed 6m
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=10 imputed bl
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=10 non-imputed 12m
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=10 non-imputed 6m
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=10 non-imputed bl
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=110 mg consolidated 12m
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=110 mg consolidated 6m
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=110 mg consolidated bl
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=110 imputed 12m
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=110 imputed 6m
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=110 imputed bl
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=110 non-imputed 12m
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=110 non-imputed 6m
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=110 non-imputed bl
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=115 mg consolidated 12m
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=115 mg consolidated 6m
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=115 mg consolidated bl
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=115 imputed 12m
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=115 imputed 6m
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=115 imputed bl
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=115 non-imputed 12m
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=115 non-imputed 6m
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=115 non-imputed bl
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=120 mg consolidated 12m
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=120 mg consolidated 6m
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=120 mg consolidated bl
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=120 imputed 12m
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=120 imputed 6m
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=120 imputed bl
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=120 non-imputed 12m
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=120 non-imputed 6m
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=120 non-imputed bl
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=125 mg consolidated 12m
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=125 mg consolidated 6m
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=125 mg consolidated bl
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=125 imputed 12m
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=125 imputed 6m
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=125 imputed bl
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=125 non-imputed 12m
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=125 non-imputed 6m
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=125 non-imputed bl
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=130 mg consolidated 12m
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=130 mg consolidated 6m
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=130 mg consolidated bl
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=130 imputed 12m
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=130 imputed 6m
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=130 imputed bl
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=130 non-imputed 12m
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=130 non-imputed 6m
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=130 non-imputed bl
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=135 mg consolidated 12m
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=135 mg consolidated 6m
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=135 mg consolidated bl
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=135 imputed 12m
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=135 imputed 6m
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=135 imputed bl
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=135 non-imputed 12m
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=135 non-imputed 6m
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=135 non-imputed bl
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=140 mg consolidated 12m
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=140 mg consolidated 6m
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=140 mg consolidated bl
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=140 imputed 12m
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=140 imputed 6m
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=140 imputed bl
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=140 non-imputed 12m
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=140 non-imputed 6m
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=140 non-imputed bl
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=145 mg consolidated 12m
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=145 mg consolidated 6m
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=145 mg consolidated bl
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=145 imputed 12m
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=145 imputed 6m
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=145 imputed bl
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=145 non-imputed 12m
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=145 non-imputed 6m
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=145 non-imputed bl
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=150 mg consolidated 12m
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=150 mg consolidated 6m
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=150 mg consolidated bl
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=150 imputed 12m
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=150 imputed 6m
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=150 imputed bl
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=150 non-imputed 12m
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=150 non-imputed 6m
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=150 non-imputed bl
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=15 mg consolidated 12m
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=15 mg consolidated 6m
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=15 mg consolidated bl
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=15 imputed 12m
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=15 imputed 6m
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=15 imputed bl
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=15 non-imputed 12m
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=15 non-imputed 6m
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=15 non-imputed bl
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=160 mg consolidated 12m
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=160 mg consolidated 6m
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=160 mg consolidated bl
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=160 imputed 12m
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=160 imputed 6m
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=160 imputed bl
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=160 non-imputed 12m
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=160 non-imputed 6m
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=160 non-imputed bl
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=170 mg consolidated 12m
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=170 mg consolidated 6m
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=170 mg consolidated bl
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=170 imputed 12m
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=170 imputed 6m
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=170 imputed bl
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=170 non-imputed 12m
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=170 non-imputed 6m
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=170 non-imputed bl
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=180 mg consolidated 12m
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=180 mg consolidated 6m
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=180 mg consolidated bl
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=180 imputed 12m
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=180 imputed 6m
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=180 imputed bl
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=180 non-imputed 12m
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=180 non-imputed 6m
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=180 non-imputed bl
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=190 mg consolidated 12m
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=190 mg consolidated 6m
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=190 mg consolidated bl
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=190 imputed 12m
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=190 imputed 6m
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=190 imputed bl
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=190 non-imputed 12m
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=190 non-imputed 6m
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=190 non-imputed bl
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=1 mg consolidated 12m
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=1 mg consolidated 6m
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=1 mg consolidated bl
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=1 imputed 12m
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=1 imputed 6m
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=1 imputed bl
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=1 non-imputed 12m
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=1 non-imputed 6m
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=1 non-imputed bl
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=2000 mg consolidated 12m
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=2000 mg consolidated 6m
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=2000 mg consolidated bl
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=2000 imputed 12m
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=2000 imputed 6m
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=2000 imputed bl
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=2000 non-imputed 12m
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=2000 non-imputed 6m
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=2000 non-imputed bl
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=200 mg consolidated 12m
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=200 mg consolidated 6m
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=200 mg consolidated bl
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=200 imputed 12m
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=200 imputed 6m
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=200 imputed bl
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=200 non-imputed 12m
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=200 non-imputed 6m
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=200 non-imputed bl
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=20 mg consolidated 12m
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=20 mg consolidated 6m
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=20 mg consolidated bl
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=20 imputed 12m
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=20 imputed 6m
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=20 imputed bl
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=20 non-imputed 12m
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=20 non-imputed 6m
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=20 non-imputed bl
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=210 mg consolidated 12m
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=210 mg consolidated 6m
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=210 mg consolidated bl
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=210 imputed 12m
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=210 imputed 6m
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=210 imputed bl
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=210 non-imputed 12m
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=210 non-imputed 6m
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=210 non-imputed bl
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=220 mg consolidated 12m
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=220 mg consolidated 6m
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=220 mg consolidated bl
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=220 imputed 12m
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=220 imputed 6m
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=220 imputed bl
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=220 non-imputed 12m
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=220 non-imputed 6m
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=220 non-imputed bl
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=230 mg consolidated 12m
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=230 mg consolidated 6m
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=230 mg consolidated bl
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=230 imputed 12m
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=230 imputed 6m
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=230 imputed bl
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=230 non-imputed 12m
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=230 non-imputed 6m
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=230 non-imputed bl
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=240 mg consolidated 12m
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=240 mg consolidated 6m
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=240 mg consolidated bl
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=240 imputed 12m
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=240 imputed 6m
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=240 imputed bl
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=240 non-imputed 12m
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=240 non-imputed 6m
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=240 non-imputed bl
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=250 mg consolidated 12m
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=250 mg consolidated 6m
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=250 mg consolidated bl
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=250 imputed 12m
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=250 imputed 6m
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=250 imputed bl
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=250 non-imputed 12m
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=250 non-imputed 6m
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=250 non-imputed bl
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=25 mg consolidated 12m
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=25 mg consolidated 6m
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=25 mg consolidated bl
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=25 imputed 12m
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=25 imputed 6m
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=25 imputed bl
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=25 non-imputed 12m
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=25 non-imputed 6m
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=25 non-imputed bl
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=260 mg consolidated 12m
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=260 mg consolidated 6m
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=260 mg consolidated bl
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=260 imputed 12m
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=260 imputed 6m
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=260 imputed bl
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=260 non-imputed 12m
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=260 non-imputed 6m
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=260 non-imputed bl
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=270 mg consolidated 12m
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=270 mg consolidated 6m
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=270 mg consolidated bl
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=270 imputed 12m
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=270 imputed 6m
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=270 imputed bl
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=270 non-imputed 12m
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=270 non-imputed 6m
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=270 non-imputed bl
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=280 mg consolidated 12m
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=280 mg consolidated 6m
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=280 mg consolidated bl
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=280 imputed 12m
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=280 imputed 6m
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=280 imputed bl
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=280 non-imputed 12m
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=280 non-imputed 6m
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=280 non-imputed bl
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=290 mg consolidated 12m
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=290 mg consolidated 6m
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=290 mg consolidated bl
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=290 imputed 12m
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=290 imputed 6m
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=290 imputed bl
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=290 non-imputed 12m
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=290 non-imputed 6m
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=290 non-imputed bl
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=2 mg consolidated 12m
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=2 mg consolidated 6m
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=2 mg consolidated bl
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=2 imputed 12m
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=2 imputed 6m
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=2 imputed bl
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=2 non-imputed 12m
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=2 non-imputed 6m
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=2 non-imputed bl
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=3000 mg consolidated 12m
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=3000 mg consolidated 6m
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=3000 mg consolidated bl
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=3000 imputed 12m
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=3000 imputed 6m
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=3000 imputed bl
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=3000 non-imputed 12m
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=3000 non-imputed 6m
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=3000 non-imputed bl
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=300 mg consolidated 12m
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=300 mg consolidated 6m
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=300 mg consolidated bl
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=300 imputed 12m
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=300 imputed 6m
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=300 imputed bl
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=300 non-imputed 12m
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=300 non-imputed 6m
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=300 non-imputed bl
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=30 mg consolidated 12m
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=30 mg consolidated 6m
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=30 mg consolidated bl
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=30 imputed 12m
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=30 imputed 6m
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=30 imputed bl
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=30 non-imputed 12m
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=30 non-imputed 6m
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=30 non-imputed bl
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=35 mg consolidated 12m
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=35 mg consolidated 6m
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=35 mg consolidated bl
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=35 imputed 12m
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=35 imputed 6m
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=35 imputed bl
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=35 non-imputed 12m
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=35 non-imputed 6m
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=35 non-imputed bl
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=3 mg consolidated 12m
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=3 mg consolidated 6m
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=3 mg consolidated bl
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=3 imputed 12m
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=3 imputed 6m
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=3 imputed bl
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=3 non-imputed 12m
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=3 non-imputed 6m
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=3 non-imputed bl
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=4000 mg consolidated 12m
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=4000 mg consolidated 6m
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=4000 mg consolidated bl
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=4000 imputed 12m
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=4000 imputed 6m
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=4000 imputed bl
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=4000 non-imputed 12m
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=4000 non-imputed 6m
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=4000 non-imputed bl
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=400 mg consolidated 12m
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=400 mg consolidated 6m
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=400 mg consolidated bl
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=400 imputed 12m
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=400 imputed 6m
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=400 imputed bl
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=400 non-imputed 12m
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=400 non-imputed 6m
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=400 non-imputed bl
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=40 mg consolidated 12m
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=40 mg consolidated 6m
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=40 mg consolidated bl
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=40 imputed 12m
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=40 imputed 6m
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=40 imputed bl
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=40 non-imputed 12m
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=40 non-imputed 6m
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=40 non-imputed bl
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=45 mg consolidated 12m
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=45 mg consolidated 6m
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=45 mg consolidated bl
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=45 imputed 12m
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=45 imputed 6m
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=45 imputed bl
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=45 non-imputed 12m
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=45 non-imputed 6m
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=45 non-imputed bl
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=4 mg consolidated 12m
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=4 mg consolidated 6m
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=4 mg consolidated bl
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=4 imputed 12m
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=4 imputed 6m
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=4 imputed bl
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=4 non-imputed 12m
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=4 non-imputed 6m
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=4 non-imputed bl
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=500 mg consolidated 12m
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=500 mg consolidated 6m
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=500 mg consolidated bl
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=500 imputed 12m
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=500 imputed 6m
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=500 imputed bl
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=500 non-imputed 12m
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=500 non-imputed 6m
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=500 non-imputed bl
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=50 mg consolidated 12m
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=50 mg consolidated 6m
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=50 mg consolidated bl
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=50 imputed 12m
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=50 imputed 6m
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=50 imputed bl
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=50 non-imputed 12m
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=50 non-imputed 6m
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=50 non-imputed bl
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=55 mg consolidated 12m
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=55 mg consolidated 6m
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=55 mg consolidated bl
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=55 imputed 12m
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=55 imputed 6m
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=55 imputed bl
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=55 non-imputed 12m
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=55 non-imputed 6m
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=55 non-imputed bl
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=5 mg consolidated 12m
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=5 mg consolidated 6m
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=5 mg consolidated bl
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=5 imputed 12m
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=5 imputed 6m
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=5 imputed bl
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=5 non-imputed 12m
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=5 non-imputed 6m
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=5 non-imputed bl
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=600 mg consolidated 12m
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=600 mg consolidated 6m
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=600 mg consolidated bl
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=600 imputed 12m
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=600 imputed 6m
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=600 imputed bl
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=600 non-imputed 12m
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=600 non-imputed 6m
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=600 non-imputed bl
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=60 mg consolidated 12m
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=60 mg consolidated 6m
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=60 mg consolidated bl
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=60 imputed 12m
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=60 imputed 6m
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=60 imputed bl
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=60 non-imputed 12m
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=60 non-imputed 6m
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=60 non-imputed bl
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=65 mg consolidated 12m
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=65 mg consolidated 6m
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=65 mg consolidated bl
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=65 imputed 12m
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=65 imputed 6m
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=65 imputed bl
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=65 non-imputed 12m
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=65 non-imputed 6m
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=65 non-imputed bl
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=700 mg consolidated 12m
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=700 mg consolidated 6m
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=700 mg consolidated bl
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=700 imputed 12m
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=700 imputed 6m
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=700 imputed bl
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=700 non-imputed 12m
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=700 non-imputed 6m
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=700 non-imputed bl
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=70 mg consolidated 12m
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=70 mg consolidated 6m
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=70 mg consolidated bl
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=70 imputed 12m
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=70 imputed 6m
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=70 imputed bl
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=70 non-imputed 12m
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=70 non-imputed 6m
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=70 non-imputed bl
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=75 mg consolidated 12m
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=75 mg consolidated 6m
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=75 mg consolidated bl
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=75 imputed 12m
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=75 imputed 6m
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=75 imputed bl
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=75 non-imputed 12m
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=75 non-imputed 6m
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=75 non-imputed bl
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=800 mg consolidated 12m
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=800 mg consolidated 6m
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=800 mg consolidated bl
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=800 imputed 12m
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=800 imputed 6m
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=800 imputed bl
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=800 non-imputed 12m
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=800 non-imputed 6m
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=800 non-imputed bl
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=80 mg consolidated 12m
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=80 mg consolidated 6m
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=80 mg consolidated bl
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=80 imputed 12m
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=80 imputed 6m
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=80 imputed bl
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=80 non-imputed 12m
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=80 non-imputed 6m
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=80 non-imputed bl
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=85 mg consolidated 12m
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=85 mg consolidated 6m
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=85 mg consolidated bl
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=85 imputed 12m
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=85 imputed 6m
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=85 imputed bl
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=85 non-imputed 12m
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=85 non-imputed 6m
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=85 non-imputed bl
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=900 mg consolidated 12m
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=900 mg consolidated 6m
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=900 mg consolidated bl
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=900 imputed 12m
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=900 imputed 6m
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=900 imputed bl
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=900 non-imputed 12m
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=900 non-imputed 6m
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=900 non-imputed bl
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=90 mg consolidated 12m
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=90 mg consolidated 6m
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=90 mg consolidated bl
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=90 imputed 12m
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=90 imputed 6m
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=90 imputed bl
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=90 non-imputed 12m
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=90 non-imputed 6m
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=90 non-imputed bl
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Time>=95 mg consolidated 12m
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Time>=95 mg consolidated 6m
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Time>=95 mg consolidated bl
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Time >=95 imputed 12m
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Time >=95 imputed 6m
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Time >=95 imputed bl
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Time >=95 non-imputed 12m
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Time >=95 non-imputed 6m
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Time >=95 non-imputed bl
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
Average acceleration consolidated 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
Average acceleration consolidated bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. Baseline measure.
Real
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. 12 month measure.
Real
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. 6 month measure.
Real
Average acc Fri non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Fri non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Fri non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 9:00-10:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 9:00-10:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 9:00-10:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 10:00-11:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 10:00-11:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 10:00-11:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 11:00-12:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 11:00-12:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 11:00-12:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 12:00-13:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 12:00-13:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 12:00-13:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 13:00-14:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 13:00-14:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 13:00-14:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 14:00-15:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 14:00-15:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 14:00-15:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 15:00-16:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 15:00-16:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 15:00-16:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 16:00-17:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 16:00-17:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 16:00-17:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 17:00-18:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 17:00-18:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 17:00-18:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 18:00-19:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 18:00-19:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 18:00-19:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 0:00-1:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 0:00-1:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 0:00-1:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 19:00-20:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 19:00-20:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 19:00-20:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 20:00-21:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 20:00-21:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 20:00-21:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 21:00-22:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 21:00-22:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 21:00-22:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 22:00-23:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 22:00-23:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 22:00-23:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 23:00-00:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 23:00-00:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 23:00-00:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 1:00-2:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 1:00-2:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 1:00-2:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 2:00-3:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 2:00-3:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 2:00-3:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 3:00-4:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 3:00-4:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 3:00-4:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 4:00-5:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 4:00-5:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 4:00-5:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 5:00-6:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 5:00-6:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 5:00-6:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 6:00-7:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 6:00-7:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 6:00-7:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 7:00-8:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 7:00-8:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 7:00-8:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc 8:00-9:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc 8:00-9:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc 8:00-9:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
Average acc imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
Average acc imputed bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
Average acc Mon non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Mon non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Mon non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc Sat non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Sat non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Sat non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc Sun non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Sun non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Sun non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc Thurs non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Thurs non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Thurs non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc Tues non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Tues non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Tues non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Average acc Wed non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
Average acc Wed non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
Average acc Wed non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
Axivity filename 12m
Filename of original raw file. 12-month measure.
Text
Axivity filename 6m
Filename of original raw file. 6-month measure.
Text
Axivity filename bl
Filename of original raw file. Baseline measure.
Text
Single file error after calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 12-month measure.
Real
Single file error after calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 6-month measure.
Real
Single file error after calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). Baseline measure.
Real
Single file error before calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 12-month measure.
Real
Single file error before calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 6-month measure.
Real
Single file error before calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). Baseline measure.
Real
First file timestamp 12m
First date timestamp of hdf5 file (Stata formatted). 12-month measure.
DateTime
First file timestamp 6m
First date timestamp of hdf5 file (Stata formatted). 6-month measure.
DateTime
First file timestamp bl
First date timestamp of hdf5 file (Stata formatted). Baseline measure.
DateTime
Anomaly flagged 12m
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. 12-month measure.
Categorical
Anomaly flagged 6m
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. 6-month measure.
Categorical
Anomaly flagged bl
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. Baseline measure.
Categorical
Technical issue 12m
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. 12-month measure.
Categorical
Technical issue 6m
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. 6-month measure.
Categorical
Technical issue bl
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. Baseline measure.
Categorical
Imputed data 12m
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. 12-month measure.
Categorical
Imputed data 6m
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. 6-month measure.
Categorical
Imputed data bl
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. Baseline measure.
Categorical
Include data 12m
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). 12-month measure.
Categorical
Include data 6m
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). 6-month measure.
Categorical
Include data bl
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). Baseline measure.
Categorical
Last file timestamp 12m
Last date timestamp of hdf5 file (Stata formatted). 12-month measure.
DateTime
Last file timestamp 6m
Last date timestamp of hdf5 file (Stata formatted). 6-month measure.
DateTime
Last file timestamp bl
Last date timestamp of hdf5 file (Stata formatted). Baseline measure.
DateTime
Multi file error after calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 12-month measure.
Real
Multi file error after calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 6-month measure.
Real
Multi file error after calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). Baseline measure.
Real
Multi file error before calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 12-month measure.
Real
Multi file error before calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 6-month measure.
Real
Multi file error before calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). Baseline measure.
Real
Bout threshold 12m
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. 12-month measure.
Integer
Bout threshold 6m
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. 6-month measure.
Integer
Bout threshold bl
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. Baseline measure.
Integer
Processing epoch 12m
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. 12-month measure.
Integer
Processing epoch 6m
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. 6-month measure.
Integer
Processing epoch bl
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. Baseline measure.
Integer
Pwear consolidated 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. 6-month measure.
Real
Pwear orig afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
Pwear orig afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
Pwear orig afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
Pwear orig afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear orig afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear Fri 12m
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. 12-month measure.
Real
Pwear Fri 6m
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. 6-month measure.
Real
Pwear Fri bl
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. Baseline measure.
Real
Pwear 9:00-10:00 12m
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. Baseline measure.
Real
Pwear 9:00-10:00 6m
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 9:00-10:00 bl
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 10:00-11:00 12m
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 10:00-11:00 6m
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 10:00-11:00 bl
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 11:00-12:00 12m
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 11:00-12:00 6m
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 11:00-12:00 bl
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 12:00-13:00 12m
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 12:00-13:00 6m
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 12:00-13:00 bl
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 13:00-14:00 12m
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 13:00-14:00 6m
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 13:00-14:00 bl
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 14:00-15:00 12m
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 14:00-15:00 6m
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 14:00-15:00 bl
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 15:00-16:00 12m
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 15:00-16:00 6m
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 15:00-16:00 bl
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 16:00-17:00 12m
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 16:00-17:00 6m
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 16:00-17:00 bl
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 17:00-18:00 12m
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 17:00-18:00 6m
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 17:00-18:00 bl
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 18:00-19:00 12m
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 18:00-19:00 6m
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 18:00-19:00 bl
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 0:00-1:00 12m
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 0:00-1:00 6m
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 0:00-1:00 bl
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 19:00-20:00 12m
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 19:00-20:00 6m
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 19:00-20:00 bl
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 20:00-21:00 12m
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 20:00-21:00 6m
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 20:00-21:00 bl
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 21:00-22:00 12m
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 21:00-22:00 6m
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 21:00-22:00 bl
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 22:00-23:00 12m
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 22:00-23:00 6m
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 22:00-23:00 bl
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 23:00-00:00 12m
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 23:00-00:00 6m
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 23:00-00:00 bl
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 1:00-2:00 12m
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 1:00-2:00 6m
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 1:00-2:00 bl
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 2:00-3:00 12m
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 2:00-3:00 6m
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 2:00-3:00 bl
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 3:00-4:00 12m
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 3:00-4:00 6m
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 3:00-4:00 bl
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 4:00-5:00 12m
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 4:00-5:00 6m
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 4:00-5:00 bl
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 5:00-6:00 12m
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 5:00-6:00 6m
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 5:00-6:00 bl
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 6:00-7:00 12m
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 6:00-7:00 6m
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 6:00-7:00 bl
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 7:00-8:00 12m
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 7:00-8:00 6m
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 7:00-8:00 bl
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. Baseline measure.
Real
Pwear 8:00-9:00 12m
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. 12-month measure.
Real
Pwear 8:00-9:00 6m
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. 6-month measure.
Real
Pwear 8:00-9:00 bl
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. 12-month measure.
Real
Pwear imputed 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. 6-month measure.
Real
Pwear imputed bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. Baseline measure.
Real
Pwear Mon 12m
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. 12-month measure.
Real
Pwear Mon 6m
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. 6-month measure.
Real
Pwear Mon bl
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
Pwear orig morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
Pwear orig morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear orig morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
Pwear orig night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
Pwear orig night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
Pwear orig night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear orig night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear orig night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear orig night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear orig noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
Pwear orig noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
Pwear orig noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
Pwear orig noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear orig noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear consolidated noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. 12-month measure.
Real
Pwear orig 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. 6-month measure.
Real
Pwear orig bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. Baseline measure.
Real
Pwear Sat 12m
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear Sat 6m
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. 6-month measure.
Real
Pwear Sat bl
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. Baseline measure.
Real
Pwear Sun 12m
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. 12-month measure.
Real
Pwear Sun 6m
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. 6-month measure.
Real
Pwear Sun bl
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. Baseline measure.
Real
Pwear Thurs 12m
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. 12-month measure.
Real
Pwear Thurs 6m
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. 6-month measure.
Real
Pwear Thurs bl
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. Baseline measure.
Real
Pwear Tues 12m
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. 12-month measure.
Real
Pwear Tues 6m
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. 6-month measure.
Real
Pwear Tues bl
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. Baseline measure.
Real
Pwear Wed 12m
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. 12-month measure.
Real
Pwear Wed 6m
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. 6-month measure.
Real
Pwear Wed bl
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear orig weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
Pwear orig weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
Pwear orig weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear consolidated weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear orig weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear orig weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear consolidated weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
Pwear imputed weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
Pwear imputed weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
Pwear imputed weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
Axivity recording hours 12m
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. 12-month measure.
Real
Axivity recording hours 6m
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. 6-month measure.
Real
Axivity recording hours bl
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. Baseline measure.
Real
Axivity recording start date 12m
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. 12-month measure.
Date
Axivity recording start date 6m
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. 6-month measure.
Date
Axivity recording start date bl
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. Baseline measure.
Date
Time resolution 12m
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). 12-month measure.
Integer
Time resolution 6m
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). 6-month measure.
Integer
Time resolution bl
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). Baseline measure.
Integer
BES cant stop 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at 12m.
Categorical
BES,
BES cant stop 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at 6m.
Categorical
BES,
BES cant stop bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at baseline.
Categorical
BES,
BES stop when full 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at 12m.
Categorical
BES,
BES stop when full 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at 6m.
Categorical
BES,
BES stop when full bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at baseline.
Categorical
BES,
BES social 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at 12m.
Categorical
BES,
BES social 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at 6m.
Categorical
BES,
BES social bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at baseline.
Categorical
BES,
BES snacking 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at 12m.
Categorical
BES,
BES snacking 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at 6m.
Categorical
BES,
BES snacking bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at baseline.
Categorical
BES,
BES urge thoughts 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at 12m.
Categorical
BES,
BES urge thoughts 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at 6m.
Categorical
BES,
BES urge thoughts bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at baseline.
Categorical
BES,
BES food thoughts 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at 12m.
Categorical
BES,
BES food thoughts 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at 6m.
Categorical
BES,
BES food thoughts bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at baseline.
Categorical
BES,
BES portion size 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at 12m.
Categorical
BES,
BES portion size 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at 6m.
Categorical
BES,
BES portion size bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at baseline.
Categorical
BES,
BES selfconscious 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at 12m.
Categorical
BES,
BES selfconscious 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at 6m.
Categorical
BES,
BES selfconscious bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at baseline.
Categorical
BES,
BES eating speed 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at 12m.
Categorical
BES,
BES eating speed 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at 6m.
Categorical
BES,
BES eating speed bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at baseline.
Categorical
BES,
BES control urges 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at 12m.
Categorical
BES,
BES control urges 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at 6m.
Categorical
BES,
BES control urges bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at baseline.
Categorical
BES,
BES bored 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at 12m.
Categorical
BES,
BES bored 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at 6m.
Categorical
BES,
BES bored bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at baseline.
Categorical
BES,
BES hunger 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at 12m.J125
Categorical
BES,
BES hunger 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at 6m.J125
Categorical
BES,
BES hunger bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at baseline.
Categorical
BES,
BES guilt 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at 12m.
Categorical
BES,
BES guilt 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at 6m.
Categorical
BES,
BES guilt bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at baseline.
Categorical
BES,
BES loss control 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at 12m.
Categorical
BES,
BES loss control 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at 6m.
Categorical
BES,
BES loss control bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at baseline.
Categorical
BES,
BES full 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at 12m.
Categorical
BES,
BES full 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at 6m.
Categorical
BES,
BES full bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at baseline.
Categorical
BES,
BES variable intake 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at 12m.
Categorical
BES,
BES variable intake 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at 6m.
Categorical
BES,
BES variable intake bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at baseline.
Categorical
BES,
BES score 12m
Binge Eating Scale. Binge Eating score at 12m calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
BES score 6m
Binge Eating Scale. Binge Eating score at 6m calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
BES score bl
Binge Eating Scale. Binge Eating score at baseline calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
bloods baseline
Participant had bloods measured in clinic at baseline.
Categorical
BMI 12m
BMI at 12 months in kg/m2. Calculated from weight_12m and height variables
Real
BMI 6m
BMI at 6 months in kg/m2. Calculated from weight_6m and height variables
Real
BMI bl
BMI at baseline in kg/m2. Calculated from weight_bl and height variables
Real
CEQ alert 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ alert 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ alert bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ anxious 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ anxious 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ anxious bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ chocolate 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ chocolate 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ chocolate bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ contented 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ contented 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ contented bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ control 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ control 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ control bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ control score 12m
Control of Eating questionnaire. Control score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ control score 6m
Control of Eating questionnaire. Control score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ control score bl
Control of Eating questionnaire. Control score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ craving eat 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ craving eat 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ craving eat bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ craving often 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ craving often 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ craving often bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ craving resist 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ craving resist 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ craving resist bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ craving strong 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ craving strong 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ craving strong bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ dairy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ dairy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ dairy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ difficult 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ difficult 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ difficult bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ fruit 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ fruit 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ fruit bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ full 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ full 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ full bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ happy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ happy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ happy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ hungry 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ hungry 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ hungry bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ mood score 12m
Control of Eating questionnaire. Mood score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ mood score 6m
Control of Eating questionnaire. Mood score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ mood score bl
Control of Eating questionnaire. Mood score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ problem food 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Text
CEQ,
CEQ problem food 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Text
CEQ,
CEQ problem food bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Text
CEQ,
CEQ savoury 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ savoury 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ savoury bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ savoury score 12m
Control of Eating questionnaire. Savoury score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ savoury score 6m
Control of Eating questionnaire. Savoury score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ savoury score bl
Control of Eating questionnaire. Savoury score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ starchy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ starchy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ starchy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ strongsavoury 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 12m.
Integer
CEQ,
CEQ strongsavoury 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 6m.
Integer
CEQ,
CEQ strongsavoury bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at baseline.
Integer
CEQ,
CEQ strongsweet 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 12m.
Integer
CEQ,
CEQ strongsweet 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 6m.
Integer
CEQ,
CEQ strongsweet bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at baseline.
Integer
CEQ,
CEQ sweet 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ,
CEQ sweet 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ,
CEQ sweet bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ,
CEQ sweet score 12m
Control of Eating questionnaire. Sweet score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ sweet score 6m
Control of Eating questionnaire. Sweet score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ sweet score bl
Control of Eating questionnaire. Sweet score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
Total cholesterol 12m
Total cholesterol at 12 months in mmol/l. Refer to chol_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to chol_12m_date.
Real
Total cholesterol date 12m
Date of total cholesterol measurement at 12 months
Date
Total cholesterol source 12m
Source of total cholesterol measurement at 12 months.
Categorical
Total cholesterol 6m
Total cholesterol at 6 months in mmol/l. Refer to chol_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to chol_6m_date.
Real
Total cholesterol date 6m
Date of total cholesterol measurement at 6 months
Date
Total cholesterol source 6m
Source of total cholesterol measurement at 6 months.
Categorical
Total cholesterol bl
Total cholesterol at baseline in mmol/l. Refer to chol_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to chol_bl_date.
Real
Total cholesterol date bl
Date of total cholesterol measurement at baseline
Date
Total cholesterol source bl
Source of total cholesterol measurement at baseline.
Categorical
carer child
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of a child (or children) under 18 years. Self-report. Asked at baseline.
Categorical
carer disabled adult
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of an adult with a disability. Self-report. Asked at baseline.
Categorical
carer disabled child
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of a child (or children) with a disability. Self-report. Asked at baseline.
Categorical
carer elder
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of an older person or people (age 65+). Self-report. Asked at baseline.
Categorical
not a carer
Demographics questionnaire. Do you have any caring responsibilities? None. Self-report. Asked at baseline.
Categorical
carer secondary
Demographics questionnaire. Do you have any caring responsibilities? Secondary carer. Self-report. Asked at baseline.
Categorical
car van
Demographics questionnaire. Is there a car or van normally available for use by you or any members of your household? Self-report. Asked at baseline.
Categorical
disability y/n
Demographics questionnaire. Do you consider yourself to have a disability? Self-report. Asked at baseline.
Categorical
learning disability
Demographics questionnaire. Do you consider yourself to have a learning disability (e.g. ADHD - dyslexia)? Self-report. Asked at baseline.
Categorical
mental disability
Demographics questionnaire. Do you consider yourself to have a mental health disorder? Self-report. Asked at baseline.
Categorical
mobility disability
Demographics questionnaire. Do you consider yourself to have a mobility impairment? Self-report. Asked at baseline.
Categorical
other disability
Demographics questionnaire. Do you consider yourself to have a disability or impairment not listed above? Self-report. Asked at baseline.
Categorical
other disability type
Demographics questionnaire. Description of other disability reported. Self-report. Asked at baseline.
Text
sensory disability
Demographics questionnaire. Do you consider yourself to have a sensory impairment (vision or hearing)? Self-report. Asked at baseline.
Categorical
education
Demographics questionnaire. What is your highest educational qualification? Self-report. Asked at baseline.
Categorical
groups y/n
Demographics questionnaire. In the last 12 months have you been involved with any groups of people who get together to do an activity or to talk about things? These can be formally organised groups or just groups of people who get together for a specific reason. For example this could include evening classes / support groups / slimming clubs / keep-fit classes / pub teams / residents’ associations / sports groups / parent-teacher associations / school or religious groups / charities / political groups / environmental groups and so on). Self-report. Asked at baseline.
Categorical
group adult education
Demographics questionnaire. Which categories best describe the groups you have taken part in? Adult education groups. Self-report. Asked at baseline.
Categorical
group environmental
Demographics questionnaire. Which categories best describe the groups you have taken part in? Environmental groups. Self-report. Asked at baseline.
Categorical
group health/disability/welfare
Demographics questionnaire. Which categories best describe the groups you have taken part in? Health/disability/welfare groups. Self-report. Asked at baseline.
Categorical
group hobby
Demographics questionnaire. Which categories best describe the groups you have taken part in? Hobbies/social clubs. Self-report. Asked at baseline.
Categorical
group local/neighbourhod
Demographics questionnaire. Which categories best describe the groups you have taken part in? Local community or neighbourhood groups. Self-report. Asked at baseline.
Categorical
group older people
Demographics questionnaire. Which categories best describe the groups you have taken part in? Groups for older people. Self-report. Asked at baseline.
Categorical
group other
Demographics questionnaire. Which categories best describe the groups you have taken part in? Other group. Self-report. Asked at baseline.
Categorical
group political
Demographics questionnaire. Which categories best describe the groups you have taken part in? Political groups. Self-report. Asked at baseline.
Categorical
group religious
Demographics questionnaire. Which categories best describe the groups you have taken part in? Religious groups (including going to a place of worship or belonging to a religious based group). Self-report. Asked at baseline.
Categorical
group
Demographics questionnaire. Which categories best describe the groups you have taken part in? Sports/exercise groups (including taking part/coaching/going to watch). Self-report. Asked at baseline.
Categorical
group trade union
Demographics questionnaire. Which categories best describe the groups you have taken part in? Trade union groups. Self-report. Asked at baseline.
Categorical
group children/young people
Demographics questionnaire. Which categories best describe the groups you have taken part in? Groups for children or young people. Self-report. Asked at baseline.
Categorical
income
Demographics questionnaire. Which income bracket represents your total household income per year? Think about the income your household receive as a whole (including salaries from employment and any pensions or benefits before any deductions for income tax). Self-report. Asked at baseline.
Categorical
internet home
Demographics questionnaire. How frequently do you access the internet from the following places? From home (including a home office). Self-report. Asked at baseline.
Categorical
internet other
Demographics questionnaire. How frequently do you access the internet from the following places? From other places. Self-report. Asked at baseline.
Categorical
internet phone
Demographics questionnaire. How frequently do you access the internet from the following places? From a smartphone. Self-report. Asked at baseline.
Categorical
internet public
Demographics questionnaire. How frequently do you access the internet from the following places? From a public terminal (e.g. library / cybercafe) Self-report. Asked at baseline.
Categorical
internet school
Demographics questionnaire. How frequently do you access the internet from the following places? From school. Self-report. Asked at baseline.
Categorical
internet work
Demographics questionnaire. How frequently do you access the internet from the following places? From work. Self-report. Asked at baseline.
Categorical
occup casual
Demographics questionnaire. Casual employment. Self-report. Asked at baseline.
Categorical
occup disabled
Demographics questionnaire. Permanently sick/disabled. Self-report. Asked at baseline.
Categorical
occup education
Demographics questionnaire. Full-time education at school college or university. Self-report. Asked at baseline.
Categorical
occup employed FT
Demographics questionnaire. What is your occupation? Employee in full-time job (30 hours or more a week). Self-report. Asked at baseline.
Categorical
occup home carer
Demographics questionnaire. Looking after the home children or other dependents. Self-report. Asked at baseline.
Categorical
occup not stated
Demographics questionnaire. Prefer not to say. Self-report. Asked at baseline.
Categorical
occup employed PT
Demographics questionnaire. Employee in part-time job (under 30 hours a week). Self-report. Asked at baseline.
Categorical
occup retired
Demographics questionnaire. Wholly retired from work. Self-report. Asked at baseline.
Categorical
occup self-employed
Demographics questionnaire. Self-employed full or part-time. Self-report. Asked at baseline.
Categorical
occup training
Demographics questionnaire. On a Government supported training programme (e.g. Modern Apprenticeship / Training for Work). Self-report. Asked at baseline.
Categorical
occup unemployed
Demographics questionnaire. Unemployed and available for work. Self-report. Asked at baseline.
Categorical
occup voluntary
Demographics questionnaire. Voluntary work full or part-time. Self-report. Asked at baseline.
Categorical
support borrow
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). If I need to I can borrow something from friends or neighbours without any problems. Self-report. Asked at baseline.
Categorical
support count on
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). There is someone very close to me whose help I can always count on. Self-report. Asked at baseline.
Categorical
support depressed
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). If I’m very depressed I know who I can turn to. Self-report. Asked at baseline.
Categorical
support do things friends
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). I know several people with whom I like to do things. Self-report. Asked at baseline.
Categorical
support security
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). I receive a lot of understanding and security from others. Self-report. Asked at baseline.
Categorical
support sick
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). When I am sick I can ask friends/relatives to handle important things for me without hesitation. Self-report. Asked at baseline.
Categorical
DESMOND SR convenient
DESMOND programme evaluation. How convenient did you find the programme? Asked at 6 months.
Categorical
DESMOND SR managing
DESMOND programme evaluation. How confident do you feel about managing your diabetes? Asked at 6 months.
Categorical
DESMOND SR not in person reason
DESMOND programme evaluation. If you did not attend the programme in person please tell us why. Asked at 6 months.
Categorical
DESMOND SR online completed
DESMOND programme evaluation. Did you complete the online MYDESMOND programme? Asked at 6 months.
Categorical
DESMOND SR online offered
DESMOND programme evaluation. Were you offered access to the online MYDESMOND programme? Asked at 6 months.
Categorical
DESMOND SR recommend
DESMOND programme evaluation. How likely are you to recommend this programme to someone else with diabetes? Asked at 6 months.
Categorical
DESMOND SR satisfied
DESMOND programme evaluation. How satisfied were you with the programme? Asked at 6 months.
Categorical
DESMOND SR understanding
DESMOND programme evaluation. How satisfied are you with your understanding of your diabetes? Asked at 6 months.
Categorical
DESMOND uptake
Did the participant take up the DESMOND intervention? Defined as attending DESMOND in person or completing MyDESMOND online.
Categorical
DESMOND SR useful
DESMOND programme evaluation. How useful did you find the programme? Asked at 6 months.
Categorical
DESMOND SR in person yn
DESMOND programme evaluation. Did you attend the DESMOND education programme in person? Asked at 6 months.
Categorical
diastolic BP 12m
Diastolic blood pressure at 12 months in mmHg. Refer to bp_source_12m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_12m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
diastolic BP 6m
Diastolic blood pressure at 6 months in mmHg. Refer to bp_source_6m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_6m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
diastolic BP bl
Diastolic blood pressure at baseline in mmHg. Refer to bp_source_bl for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_bl. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
EQ5D anxiety depression 12m
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D,
EQ5D anxiety depression 6m
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D,
EQ5D anxiety depression bl
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D,
EQ5D health state 12m
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at 12 months.
Integer
EQ5D,
EQ5D health state 6m
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at 6 months.
Integer
EQ5D,
EQ5D health state bl
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at baseline.
Integer
EQ5D,
EQ5D mobility 12m
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D,
EQ5D mobility 6m
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D,
EQ5D mobility bl
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D,
EQ5D pain discomfort 12m
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D,
EQ5D pain discomfort 6m
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D,
EQ5D pain discomfort bl
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D,
EQ5D self care 12m
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D,
EQ5D self care 6m
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D,
EQ5D self care bl
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D,
EQ5D usual activities 12m
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D,
EQ5D usual activities 6m
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D,
EQ5D usual activities bl
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D,
EQ5D score 12m
EQ5D questionnaire. EQ5D state score at 12 months. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
EQ5D score 6m
EQ5D questionnaire. EQ5D state score at 6 months. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
EQ5D score bl
EQ5D questionnaire. EQ5D state score at baseline. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
ethnic group
Participant ethnicity. Self-reported by participant.
Integer
12m expected date
Expected date of 12m measures; 12m after randomisation date
Date
6m expected date
Expected date of 6m measures; 6m after randomisation date
Date
VisibleFat 12m
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at 12m.
Categorical
VisibleFat 6m
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at 6m.
Categorical
VisibleFat bl
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at baseline.
Categorical
GrilledFreq 12m
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at 12m.
Integer
GrilledFreq 6m
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at 6m.
Integer
GrilledFreq bl
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at baseline.
Integer
Cooked 12m
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at 12m.
Categorical
Cooked 6m
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at 6m.
Categorical
Cooked bl
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at baseline.
Categorical
CookingSalt 12m
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at 12m.
Categorical
CookingSalt 6m
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at 6m.
Categorical
CookingSalt bl
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at baseline.
Categorical
TableSalt 12m
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at 12m.
Categorical
TableSalt 6m
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at 6m.
Categorical
TableSalt bl
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at baseline.
Categorical
SaltSub 12m
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at 12m.
Categorical
SaltSub 6m
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at 6m.
Categorical
SaltSub bl
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at baseline.
Categorical
SaltSubBrand 12m
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at 12m.
Categorical
SaltSubBrand 6m
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at 6m.
Categorical
SaltSubBrand bl
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at baseline.
Categorical
VegPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at 12m.
Integer
VegPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at 6m.
Integer
VegPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at baseline.
Integer
SaladPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at 12m.
Integer
SaladPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at 6m.
Integer
SaladPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at baseline.
Integer
FruitPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at 12m.
Integer
FruitPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at 6m.
Integer
FruitPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at baseline.
Integer
FishPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at 12m.
Integer
FishPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at 6m.
Integer
FishPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at baseline.
Integer
MeatPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at 12m.
Integer
MeatPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at 6m.
Integer
MeatPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at baseline.
Integer
Supplements 12m
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at 12m.
Categorical
Supplements 6m
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at 6m.
Categorical
Supplements bl
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at baseline.
Categorical
SupplementAmount1 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount1 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount1 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount2 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount2 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount2 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount3 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount3 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount3 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount4 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount4 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount4 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount5 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount5 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount5 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount6 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount6 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount6 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementAmount7 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
SupplementAmount7 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
SupplementAmount7 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
SupplementBrand1 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand1 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand1 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand2 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand2 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand2 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand3 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand3 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand3 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand4 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand4 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand4 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand5 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand5 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand5 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand6 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand6 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand6 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at baseline.
Text
SupplementBrand7 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at 12m.
Text
SupplementBrand7 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at 6m.
Text
SupplementBrand7 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency1 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency1 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency1 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency2 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency2 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency2 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency3 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency3 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency3 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency4 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency4 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency4 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency5 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency5 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency5 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency6 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency6 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency6 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at baseline.
Text
SupplementFrequency7 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at 12m.
Text
SupplementFrequency7 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at 6m.
Text
SupplementFrequency7 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at baseline.
Text
SupplementName1 12m
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at 12m.
Text
SupplementName1 6m
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at 6m.
Text
SupplementName1 bl
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at baseline.
Text
SupplementName2 12m
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at 12m.
Text
SupplementName2 6m
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at 6m.
Text
SupplementName2 bl
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at baseline.
Text
SupplementName3 12m
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at 12m.
Text
SupplementName3 6m
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at 6m.
Text
SupplementName3 bl
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at baseline.
Text
SupplementName4 12m
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at 12m.
Text
SupplementName4 6m
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at 6m.
Text
SupplementName4 bl
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at baseline.
Text
SupplementName5 12m
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at 12m.
Text
SupplementName5 6m
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at 6m.
Text
SupplementName5 bl
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at baseline.
Text
SupplementName6 12m
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at 12m.
Text
SupplementName6 6m
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at 6m.
Text
SupplementName6 bl
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at baseline.
Text
SupplementName7 12m
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at 12m.
Text
SupplementName7 6m
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at 6m.
Text
SupplementName7 bl
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at baseline.
Text
SupplementStrength1 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength1 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength1 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength2 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength2 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength2 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength3 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength3 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength3 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength4 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength4 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength4 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength5 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength5 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength5 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength6 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength6 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength6 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
SupplementStrength7 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
SupplementStrength7 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
SupplementStrength7 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
MilkAmount 12m
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at 12m.
Categorical
MilkAmount 6m
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at 6m.
Categorical
MilkAmount bl
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at baseline.
Categorical
Cereal YN 12m
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at 12m.
Categorical
Cereal YN 6m
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at 6m.
Categorical
Cereal YN bl
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at baseline.
Categorical
Cereal1Brand 12m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at 12m.
Text
Cereal1Brand 6m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at 6m.
Text
Cereal1Brand bl
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at baseline.
Text
Cereal1Type 12m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at 12m.
Text
Cereal1Type 6m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at 6m.
Text
Cereal1Type bl
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at baseline.
Text
Cereal2Brand 12m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at 12m.
Text
Cereal2Brand 6m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at 6m.
Text
Cereal2Brand bl
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at baseline.
Text
Cereal2Type 12m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at 12m.
Text
Cereal2Type 6m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at 6m.
Text
Cereal2Type bl
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at baseline.
Text
FryingFat 12m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at 12m.
Categorical
FryingFat 6m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at 6m.
Categorical
FryingFat bl
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at baseline.
Categorical
OtherFat_fry 12m
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at 12m.
Text
OtherFat_fry 6m
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at 6m.
Text
OtherFat_fry bl
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at baseline.
Text
BakingFat 12m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at 12m.
Categorical
BakingFat 6m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at 6m.
Categorical
BakingFat bl
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at baseline.
Categorical
OtherFat_bake 12m
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at 12m.
Text
OtherFat_bake 6m
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at 6m.
Text
OtherFat_bake bl
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at baseline.
Text
HomeFried 12m
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at 12m.
Categorical
HomeFried 6m
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at 6m.
Categorical
HomeFried bl
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at baseline.
Categorical
AwayFried 12m
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at 12m.
Categorical
AwayFried 6m
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at 6m.
Categorical
AwayFried bl
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at baseline.
Categorical
Alcoholic beverages 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at 12m.
Real
Alcoholic beverages 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at 6m.
Real
Alcoholic beverages bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at baseline.
Real
Alcohol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at 12m.
Real
Alcohol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at 6m.
Real
Alcohol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at baseline.
Real
Alpha carotene 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at 12m.
Real
Alpha carotene 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at 6m.
Real
Alpha carotene bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at baseline.
Real
AOAC fibre 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at 12m.
Real
AOAC fibre 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at 6m.
Real
AOAC fibre bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at baseline.
Real
Beta carotene 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at 12m.
Real
Beta carotene 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at 6m.
Real
Beta carotene bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at baseline.
Real
Beta-cryptoxanthin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at 12m.
Real
Beta-cryptoxanthin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at 6m.
Real
Beta-cryptoxanthin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at baseline.
Real
Biotin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at 12m.
Real
Biotin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at 6m.
Real
Biotin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at baseline.
Real
White bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at 12m.
Categorical
White bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at 6m.
Categorical
White bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at baseline.
Categorical
Brown bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at 12m.
Categorical
Brown bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at 6m.
Categorical
Brown bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at baseline.
Categorical
Wholemeal bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at 12m.
Categorical
Wholemeal bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at 6m.
Categorical
Wholemeal bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at baseline.
Categorical
Crackers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at 12m.
Categorical
Crackers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at 6m.
Categorical
Crackers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at baseline.
Categorical
Crispbread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at 12m.
Categorical
Crispbread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at 6m.
Categorical
Crispbread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at baseline.
Categorical
Calcium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at 12m.
Real
Calcium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at 6m.
Real
Calcium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at baseline.
Real
Total carbohydrate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at 12m.
Real
Total carbohydrate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at 6m.
Real
Total carbohydrate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at baseline.
Real
Total carotene equivalents 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at 12m.
Real
Total carotene equivalents 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at 6m.
Real
Total carotene equivalents bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at baseline.
Real
Porridge 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at 12m.
Categorical
Porridge 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at 6m.
Categorical
Porridge bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at baseline.
Categorical
Cereals and cereal products 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at 12m.
Categorical
Cereals and cereal products 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at 6m.
Categorical
Cereals and cereal products bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at baseline.
Categorical
Cereals and cereal products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at 12m.
Real
Cereals and cereal products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at 6m.
Real
Cereals and cereal products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at baseline.
Real
Chloride 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at 12m.
Real
Chloride 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at 6m.
Real
Chloride bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at baseline.
Real
Cholesterol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at 12m.
Real
Cholesterol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at 6m.
Real
Cholesterol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at baseline.
Real
Cis monounsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at 12m.
Real
Cis monounsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at 6m.
Real
Cis monounsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at baseline.
Real
N-3 polyunsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at 12m.
Real
N-3 polyunsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at 6m.
Real
N-3 polyunsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at baseline.
Real
N-6 polyunsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at 12m.
Real
N-6 polyunsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at 6m.
Real
N-6 polyunsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at baseline.
Real
Copper 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at 12m.
Real
Copper 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at 6m.
Real
Copper bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at baseline.
Real
Lowcal salad cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at 12m.
Categorical
Lowcal salad cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at 6m.
Categorical
Lowcal salad cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at baseline.
Categorical
Salad cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at 12m.
Categorical
Salad cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at 6m.
Categorical
Salad cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at baseline.
Categorical
French dressing 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at 12m.
Categorical
French dressing 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at 6m.
Categorical
French dressing bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at baseline.
Categorical
Other dressing 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at 12m.
Categorical
Other dressing 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at 6m.
Categorical
Other dressing bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at baseline.
Categorical
Butter 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at 12m.
Categorical
Butter 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at 6m.
Categorical
Butter bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at baseline.
Categorical
Hard marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at 12m.
Categorical
Hard marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at 6m.
Categorical
Hard marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at baseline.
Categorical
Polyuns marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at 12m.
Categorical
Polyuns marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at 6m.
Categorical
Polyuns marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at baseline.
Categorical
Other soft marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at 12m.
Categorical
Other soft marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at 6m.
Categorical
Other soft marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at baseline.
Categorical
Low fat spread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at 12m.
Categorical
Low fat spread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at 6m.
Categorical
Low fat spread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at baseline.
Categorical
V low fat spread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at 12m.
Categorical
V low fat spread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at 6m.
Categorical
V low fat spread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at baseline.
Categorical
Single cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at 12m.
Categorical
Single cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at 6m.
Categorical
Single cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at baseline.
Categorical
Double cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at 12m.
Categorical
Double cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at 6m.
Categorical
Double cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at baseline.
Categorical
Low fat yogurt 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at 12m.
Categorical
Low fat yogurt 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at 6m.
Categorical
Low fat yogurt bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at baseline.
Categorical
Full fat yogurt 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at 12m.
Categorical
Full fat yogurt 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at 6m.
Categorical
Full fat yogurt bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at baseline.
Categorical
Dairy desserts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at 12m.
Categorical
Dairy desserts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at 6m.
Categorical
Dairy desserts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at baseline.
Categorical
Cheese 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at 12m.
Categorical
Cheese 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at 6m.
Categorical
Cheese bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at baseline.
Categorical
Cottage cheese 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at 12m.
Categorical
Cottage cheese 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at 6m.
Categorical
Cottage cheese bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at baseline.
Categorical
Eggs and egg dishes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at 12m.
Categorical
Eggs and egg dishes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at 6m.
Categorical
Eggs and egg dishes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at baseline.
Categorical
Quiche 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at 12m.
Categorical
Quiche 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at 6m.
Categorical
Quiche bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at baseline.
Categorical
Spirits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at 12m.
Categorical
Spirits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at 6m.
Categorical
Spirits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at baseline.
Categorical
Low cal fizzy 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at 12m.
Categorical
Low cal fizzy 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at 6m.
Categorical
Low cal fizzy bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at baseline.
Categorical
Fizzy 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at 12m.
Categorical
Fizzy 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at 6m.
Categorical
Fizzy bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at baseline.
Categorical
Fruit juice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at 12m.
Categorical
Fruit juice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at 6m.
Categorical
Fruit juice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at baseline.
Categorical
Fruit squash 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at 12m.
Categorical
Fruit squash 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at 6m.
Categorical
Fruit squash bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at baseline.
Categorical
Tea 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at 12m.
Categorical
Tea 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at 6m.
Categorical
Tea bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at baseline.
Categorical
Coffee 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at 12m.
Categorical
Coffee 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at 6m.
Categorical
Coffee bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at baseline.
Categorical
Coffee decaf 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at 12m.
Categorical
Coffee decaf 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at 6m.
Categorical
Coffee decaf bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at baseline.
Categorical
Coffee whitener 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at 12m.
Categorical
Coffee whitener 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at 6m.
Categorical
Coffee whitener bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at baseline.
Categorical
Hot choc 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at 12m.
Categorical
Hot choc 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at 6m.
Categorical
Hot choc bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at baseline.
Categorical
Horlicks 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at 12m.
Categorical
Horlicks 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at 6m.
Categorical
Horlicks bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at baseline.
Categorical
Wine 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at 12m.
Categorical
Wine 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at 6m.
Categorical
Wine bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at baseline.
Categorical
Beer 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at 12m.
Categorical
Beer 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at 6m.
Categorical
Beer bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at baseline.
Categorical
Liqueurs 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at 12m.
Categorical
Liqueurs 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at 6m.
Categorical
Liqueurs bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at baseline.
Categorical
Eggs and egg dishes 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at 12m.
Real
Eggs and egg dishes 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at 6m.
Real
Eggs and egg dishes bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at baseline.
Real
Energy 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at 12m.
Real
Energy 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at 6m.
Real
Energy bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at baseline.
Real
Energy 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at 12m.
Real
Energy 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at 6m.
Real
Energy bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at baseline.
Real
Fats and oils 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at 12m.
Real
Fats and oils 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at 6m.
Real
Fats and oils bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at baseline.
Real
Total fat 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at 12m.
Real
Total fat 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at 6m.
Real
Total fat bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at baseline.
Real
Fish and fish products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at 12m.
Real
Fish and fish products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at 6m.
Real
Fish and fish products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at baseline.
Real
Total folate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at 12m.
Real
Total folate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at 6m.
Real
Total folate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at baseline.
Real
Free sugar - dried fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at 12m.
Real
Free sugar - dried fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at 6m.
Real
Free sugar - dried fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at baseline.
Real
Free sugar - fruit juice 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at 12m.
Real
Free sugar - fruit juice 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at 6m.
Real
Free sugar - fruit juice bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at baseline.
Real
Free sugar - honey 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at 12m.
Real
Free sugar - honey 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at 6m.
Real
Free sugar - honey bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at baseline.
Real
Free sugar - other added sugar 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at 12m.
Real
Free sugar - other added sugar 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at 6m.
Real
Free sugar - other added sugar bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at baseline.
Real
Free sugar - pureed fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at 12m.
Real
Free sugar - pureed fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at 6m.
Real
Free sugar - pureed fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at baseline.
Real
Free sugar - pureed veg 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at 12m.
Real
Free sugar - pureed veg 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at 6m.
Real
Free sugar - pureed veg bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at baseline.
Real
Free sugar - stewed fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at 12m.
Real
Free sugar - stewed fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at 6m.
Real
Free sugar - stewed fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at baseline.
Real
Free sugar - table sugar 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at 12m.
Real
Free sugar - table sugar 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at 6m.
Real
Free sugar - table sugar bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at baseline.
Real
Fructose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at 12m.
Real
Fructose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at 6m.
Real
Fructose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at baseline.
Real
Tinned fruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at 12m.
Categorical
Tinned fruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at 6m.
Categorical
Tinned fruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at baseline.
Categorical
Dried fruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at 12m.
Categorical
Dried fruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at 6m.
Categorical
Dried fruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at baseline.
Categorical
Apples 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at 12m.
Categorical
Apples 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at 6m.
Categorical
Apples bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at baseline.
Categorical
Pears 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at 12m.
Categorical
Pears 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at 6m.
Categorical
Pears bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at baseline.
Categorical
Oranges 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at 12m.
Categorical
Oranges 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at 6m.
Categorical
Oranges bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at baseline.
Categorical
Grapefruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at 12m.
Categorical
Grapefruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at 6m.
Categorical
Grapefruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at baseline.
Categorical
Bananas 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at 12m.
Categorical
Bananas 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at 6m.
Categorical
Bananas bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at baseline.
Categorical
Grapes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at 12m.
Categorical
Grapes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at 6m.
Categorical
Grapes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at baseline.
Categorical
Melon 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at 12m.
Categorical
Melon 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at 6m.
Categorical
Melon bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at baseline.
Categorical
Peaches 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at 12m.
Categorical
Peaches 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at 6m.
Categorical
Peaches bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at baseline.
Categorical
Strawberries 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at 12m.
Categorical
Strawberries 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at 6m.
Categorical
Strawberries bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at baseline.
Categorical
Fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at 12m.
Real
Fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at 6m.
Real
Fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at baseline.
Real
Glucose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at 12m.
Real
Glucose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at 6m.
Real
Glucose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at baseline.
Real
Haem iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at 12m.
Real
Haem iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at 6m.
Real
Haem iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at baseline.
Real
Intrinsic and milk sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at 12m.
Real
Intrinsic and milk sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at 6m.
Real
Intrinsic and milk sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at baseline.
Real
Iodine 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at 12m.
Real
Iodine 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at 6m.
Real
Iodine bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at baseline.
Real
Iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at 12m.
Real
Iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at 6m.
Real
Iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at baseline.
Real
Lactose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at 12m.
Real
Lactose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at 6m.
Real
Lactose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at baseline.
Real
Magnesium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at 12m.
Real
Magnesium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at 6m.
Real
Magnesium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at baseline.
Real
Maltose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at 12m.
Real
Maltose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at 6m.
Real
Maltose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at baseline.
Real
Manganese 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at 12m.
Real
Manganese 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at 6m.
Real
Manganese bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at baseline.
Real
Pies 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at 12m.
Categorical
Pies 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at 6m.
Categorical
Pies bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at baseline.
Categorical
Liver 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at 12m.
Categorical
Liver 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at 6m.
Categorical
Liver bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at baseline.
Categorical
Fried fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at 12m.
Categorical
Fried fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at 6m.
Categorical
Fried fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at baseline.
Categorical
Fish fingers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at 12m.
Categorical
Fish fingers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at 6m.
Categorical
Fish fingers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at baseline.
Categorical
Other fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at 12m.
Categorical
Other fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at 6m.
Categorical
Other fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at baseline.
Categorical
Oily fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at 12m.
Categorical
Oily fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at 6m.
Categorical
Oily fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at baseline.
Categorical
Shellfish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at 12m.
Categorical
Shellfish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at 6m.
Categorical
Shellfish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at baseline.
Categorical
Fish roe 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at 12m.
Categorical
Fish roe 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at 6m.
Categorical
Fish roe bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at baseline.
Categorical
Beef 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at 12m.
Categorical
Beef 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at 6m.
Categorical
Beef bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at baseline.
Categorical
Burgers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at 12m.
Categorical
Burgers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at 6m.
Categorical
Burgers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at baseline.
Categorical
Pork 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at 12m.
Categorical
Pork 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at 6m.
Categorical
Pork bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at baseline.
Categorical
Lamb 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at 12m.
Categorical
Lamb 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at 6m.
Categorical
Lamb bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at baseline.
Categorical
Chicken 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at 12m.
Categorical
Chicken 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at 6m.
Categorical
Chicken bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at baseline.
Categorical
Bacon 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at 12m.
Categorical
Bacon 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at 6m.
Categorical
Bacon bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at baseline.
Categorical
Ham 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at 12m.
Categorical
Ham 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at 6m.
Categorical
Ham bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at baseline.
Categorical
Corned beef 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at 12m.
Categorical
Corned beef 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at 6m.
Categorical
Corned beef bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at baseline.
Categorical
Sausages 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at 12m.
Categorical
Sausages 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at 6m.
Categorical
Sausages bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at baseline.
Categorical
Meat and meat products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at 12m.
Real
Meat and meat products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at 6m.
Real
Meat and meat products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at baseline.
Real
Milk and milk products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at 12m.
Real
Milk and milk products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at 6m.
Real
Milk and milk products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at baseline.
Real
Milk_other 12m
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at 12m.
Text
Milk_other 6m
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at 6m.
Text
Milk_other bl
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at baseline.
Text
Milk_type 12m
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at 12m.
Categorical
Milk_type 6m
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at 6m.
Categorical
Milk_type bl
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at baseline.
Categorical
Missing ticks 12m
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at 12m.
Integer
Missing ticks 6m
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at 6m.
Integer
Missing ticks bl
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at baseline.
Integer
Niacin equivalent 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at 12m.
Real
Niacin equivalent 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at 6m.
Real
Niacin equivalent bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at baseline.
Real
Niacin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at 12m.
Real
Niacin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at 6m.
Real
Niacin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at baseline.
Real
Non-alcoholic beverages 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at 12m.
Real
Non-alcoholic beverages 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at 6m.
Real
Non-alcoholic beverages bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at baseline.
Real
Non-haem iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at 12m.
Real
Non-haem iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at 6m.
Real
Non-haem iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at baseline.
Real
Non milk extrinsic sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at 12m.
Real
Non milk extrinsic sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at 6m.
Real
Non milk extrinsic sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at baseline.
Real
Englyst Fibre 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at 12m.
Real
Englyst Fibre 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at 6m.
Real
Englyst Fibre bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at baseline.
Real
Nuts and seeds 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at 12m.
Real
Nuts and seeds 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at 6m.
Real
Nuts and seeds bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at baseline.
Real
OtherFood1 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at 12m.
Text
OtherFood1 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at 6m.
Text
OtherFood1 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at baseline.
Text
OtherFood1_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at 12m.
Text
OtherFood1_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at 6m.
Text
OtherFood1_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at baseline.
Text
OtherFood1_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at 12m.
Text
OtherFood1_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at 6m.
Text
OtherFood1_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at baseline.
Text
OtherFood2 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at 12m.
Text
OtherFood2 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at 6m.
Text
OtherFood2 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at baseline.
Text
OtherFood2_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at 12m.
Text
OtherFood2_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at 6m.
Text
OtherFood2_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at baseline.
Text
OtherFood2_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at 12m.
Text
OtherFood2_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at 6m.
Text
OtherFood2_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at baseline.
Text
OtherFood3 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at 12m.
Text
OtherFood3 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at 6m.
Text
OtherFood3 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at baseline.
Text
OtherFood3_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at 12m.
Text
OtherFood3_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at 6m.
Text
OtherFood3_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at baseline.
Text
OtherFood3_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at 12m.
Text
OtherFood3_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at 6m.
Text
OtherFood3_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at baseline.
Text
OtherFood4 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at 12m.
Text
OtherFood4 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at 6m.
Text
OtherFood4 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at baseline.
Text
OtherFood4_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at 12m.
Text
OtherFood4_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at 6m.
Text
OtherFood4_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at baseline.
Text
OtherFood4_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at 12m.
Text
OtherFood4_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at 6m.
Text
OtherFood4_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at baseline.
Text
OtherFood5 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at 12m.
Text
OtherFood5 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at 6m.
Text
OtherFood5 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at baseline.
Text
OtherFood5_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at 12m.
Text
OtherFood5_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at 6m.
Text
OtherFood5_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at baseline.
Text
OtherFood5_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at 12m.
Text
OtherFood5_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at 6m.
Text
OtherFood5_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at baseline.
Text
OtherFood6 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at 12m.
Text
OtherFood6 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at 6m.
Text
OtherFood6 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at baseline.
Text
OtherFood6_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at 12m.
Text
OtherFood6_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at 6m.
Text
OtherFood6_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at baseline.
Text
OtherFood6_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at 12m.
Text
OtherFood6_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at 6m.
Text
OtherFood6_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at baseline.
Text
OtherFoodYN 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at 12m.
Categorical
OtherFoodYN 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at 6m.
Categorical
OtherFoodYN bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at baseline.
Categorical
Other sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at 12m.
Real
Other sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at 6m.
Real
Other sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at baseline.
Real
Pantothenate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at 12m.
Real
Pantothenate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at 6m.
Real
Pantothenate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at baseline.
Real
Phosphorus 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at 12m.
Real
Phosphorus 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at 6m.
Real
Phosphorus bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at baseline.
Real
Potassium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at 12m.
Real
Potassium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at 6m.
Real
Potassium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at baseline.
Real
Pizza 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at 12m.
Categorical
Pizza 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at 6m.
Categorical
Pizza bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at baseline.
Categorical
Potatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at 12m.
Categorical
Potatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at 6m.
Categorical
Potatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at baseline.
Categorical
Chips 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at 12m.
Categorical
Chips 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at 6m.
Categorical
Chips bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at baseline.
Categorical
Roast potatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at 12m.
Categorical
Roast potatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at 6m.
Categorical
Roast potatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at baseline.
Categorical
Potato Salad 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at 12m.
Categorical
Potato Salad 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at 6m.
Categorical
Potato Salad bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at baseline.
Categorical
White rice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at 12m.
Categorical
White rice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at 6m.
Categorical
White rice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at baseline.
Categorical
Brown rice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at 12m.
Categorical
Brown rice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at 6m.
Categorical
Brown rice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at baseline.
Categorical
White pasta 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at 12m.
Categorical
White pasta 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at 6m.
Categorical
White pasta bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at baseline.
Categorical
Wholemeal pasta 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at 12m.
Categorical
Wholemeal pasta 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at 6m.
Categorical
Wholemeal pasta bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at baseline.
Categorical
Lasagne 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at 12m.
Categorical
Lasagne 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at 6m.
Categorical
Lasagne bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at baseline.
Categorical
Potatoes 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at 12m.
Real
Potatoes 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at 6m.
Real
Potatoes bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at baseline.
Real
Protein 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at 12m.
Real
Protein 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at 6m.
Real
Protein bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at baseline.
Real
Vit A - retinol equiv 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at 12m.
Real
Vit A - retinol equiv 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at 6m.
Real
Vit A - retinol equiv bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at baseline.
Real
Vit A - retinol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at 12m.
Real
Vit A - retinol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at 6m.
Real
Vit A - retinol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at baseline.
Real
Riboflavin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at 12m.
Real
Riboflavin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at 6m.
Real
Riboflavin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at baseline.
Real
Saturated fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at 12m.
Real
Saturated fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at 6m.
Real
Saturated fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at baseline.
Real
Selenium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at 12m.
Real
Selenium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at 6m.
Real
Selenium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at baseline.
Real
Sodium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at 12m.
Real
Sodium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at 6m.
Real
Sodium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at baseline.
Real
Veg soup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at 12m.
Categorical
Veg soup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at 6m.
Categorical
Veg soup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at baseline.
Categorical
Meat soup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at 12m.
Categorical
Meat soup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at 6m.
Categorical
Meat soup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at baseline.
Categorical
Sauces 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at 12m.
Categorical
Sauces 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at 6m.
Categorical
Sauces bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at baseline.
Categorical
Ketchup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at 12m.
Categorical
Ketchup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at 6m.
Categorical
Ketchup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at baseline.
Categorical
Pickles 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at 12m.
Categorical
Pickles 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at 6m.
Categorical
Pickles bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at baseline.
Categorical
Marmite 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at 12m.
Categorical
Marmite 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at 6m.
Categorical
Marmite bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at baseline.
Categorical
Jam 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at 12m.
Categorical
Jam 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at 6m.
Categorical
Jam bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at baseline.
Categorical
Peanut butter 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at 12m.
Categorical
Peanut butter 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at 6m.
Categorical
Peanut butter bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at baseline.
Categorical
Soups and sauces 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at 12m.
Real
Soups and sauces 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at 6m.
Real
Soups and sauces bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at baseline.
Real
Starch 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at 12m.
Real
Starch 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at 6m.
Real
Starch bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at baseline.
Real
Sucrose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at 12m.
Real
Sucrose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at 6m.
Real
Sucrose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at baseline.
Real
Sugars - preserves snacks 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at 12m.
Real
Sugars - preserves snacks 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at 6m.
Real
Sugars - preserves snacks bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at baseline.
Real
Sponge pud ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at 12m.
Categorical
Sponge pud ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at 6m.
Categorical
Sponge pud ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at baseline.
Categorical
Milk pud 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at 12m.
Categorical
Milk pud 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at 6m.
Categorical
Milk pud bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at baseline.
Categorical
Ice cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at 12m.
Categorical
Ice cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at 6m.
Categorical
Ice cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at baseline.
Categorical
Chocolates 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at 12m.
Categorical
Chocolates 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at 6m.
Categorical
Chocolates bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at baseline.
Categorical
Choc bars 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at 12m.
Categorical
Choc bars 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at 6m.
Categorical
Choc bars bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at baseline.
Categorical
Toffees mints 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at 12m.
Categorical
Toffees mints 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at 6m.
Categorical
Toffees mints bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at baseline.
Categorical
Sugar in tea 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at 12m.
Categorical
Sugar in tea 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at 6m.
Categorical
Sugar in tea bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at baseline.
Categorical
Crisps 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at 12m.
Categorical
Crisps 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at 6m.
Categorical
Crisps bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at baseline.
Categorical
Peanuts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at 12m.
Categorical
Peanuts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at 6m.
Categorical
Peanuts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at baseline.
Categorical
Sweet biscuits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at 12m.
Categorical
Sweet biscuits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at 6m.
Categorical
Sweet biscuits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at baseline.
Categorical
Plain biscuits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at 12m.
Categorical
Plain biscuits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at 6m.
Categorical
Plain biscuits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at baseline.
Categorical
Cakes home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at 12m.
Categorical
Cakes home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at 6m.
Categorical
Cakes home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at baseline.
Categorical
Cakes ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at 12m.
Categorical
Cakes ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at 6m.
Categorical
Cakes ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at baseline.
Categorical
Buns home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at 12m.
Categorical
Buns home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at 6m.
Categorical
Buns home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at baseline.
Categorical
Buns ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at 12m.
Categorical
Buns ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at 6m.
Categorical
Buns ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at baseline.
Categorical
Fruit pie home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at 12m.
Categorical
Fruit pie home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at 6m.
Categorical
Fruit pie home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at baseline.
Categorical
Fruit pie ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at 12m.
Categorical
Fruit pie ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at 6m.
Categorical
Fruit pie ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at baseline.
Categorical
Sponge pud home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at 12m.
Categorical
Sponge pud home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at 6m.
Categorical
Sponge pud home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at baseline.
Categorical
Vit B1 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at 12m.
Real
Vit B1 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at 6m.
Real
Vit B1 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at baseline.
Real
Total nitrogen 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at 12m.
Real
Total nitrogen 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at 6m.
Real
Total nitrogen bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at baseline.
Real
Total sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at 12m.
Real
Total sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at 6m.
Real
Total sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at baseline.
Real
Trans fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at 12m.
Real
Trans fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at 6m.
Real
Trans fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at baseline.
Real
Tryptophan * 60 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at 12 months.
Real
Tryptophan * 60 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at 6 months.
Real
Tryptophan * 60 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at baseline.
Real
Parsnips 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at 12m.
Categorical
Parsnips 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at 6m.
Categorical
Parsnips bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at baseline.
Categorical
Leeks 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at 12m.
Categorical
Leeks 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at 6m.
Categorical
Leeks bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at baseline.
Categorical
Onions 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at 12m.
Categorical
Onions 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at 6m.
Categorical
Onions bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at baseline.
Categorical
Garlic 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at 12m.
Categorical
Garlic 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at 6m.
Categorical
Garlic bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at baseline.
Categorical
Mushrooms 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at 12m.
Categorical
Mushrooms 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at 6m.
Categorical
Mushrooms bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at baseline.
Categorical
Peppers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at 12m.
Categorical
Peppers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at 6m.
Categorical
Peppers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at baseline.
Categorical
Beansprouts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at 12m.
Categorical
Beansprouts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at 6m.
Categorical
Beansprouts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at baseline.
Categorical
Salad 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at 12m.
Categorical
Salad 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at 6m.
Categorical
Salad bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at baseline.
Categorical
Watercress 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at 12m.
Categorical
Watercress 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at 6m.
Categorical
Watercress bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at baseline.
Categorical
Tomatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at 12m.
Categorical
Tomatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at 6m.
Categorical
Tomatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at baseline.
Categorical
Carrots 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at 12m.
Categorical
Carrots 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at 6m.
Categorical
Carrots bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at baseline.
Categorical
Sweetcorn 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at 12m.
Categorical
Sweetcorn 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at 6m.
Categorical
Sweetcorn bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at baseline.
Categorical
Beetroot 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at 12m.
Categorical
Beetroot 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at 6m.
Categorical
Beetroot bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at baseline.
Categorical
Coleslaw 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at 12m.
Categorical
Coleslaw 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at 6m.
Categorical
Coleslaw bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at baseline.
Categorical
Avocado 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at 12m.
Categorical
Avocado 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at 6m.
Categorical
Avocado bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at baseline.
Categorical
Baked beans 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at 12m.
Categorical
Baked beans 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at 6m.
Categorical
Baked beans bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at baseline.
Categorical
Lentils 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at 12m.
Categorical
Lentils 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at 6m.
Categorical
Lentils bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at baseline.
Categorical
Tofu 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at 12m.
Categorical
Tofu 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at 6m.
Categorical
Tofu bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at baseline.
Categorical
Spinach 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at 12m.
Categorical
Spinach 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at 6m.
Categorical
Spinach bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at baseline.
Categorical
Broccoli 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at 12m.
Categorical
Broccoli 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at 6m.
Categorical
Broccoli bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at baseline.
Categorical
Sprouts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at 12m.
Categorical
Sprouts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at 6m.
Categorical
Sprouts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at baseline.
Categorical
Cabbage 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at 12m.
Categorical
Cabbage 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at 6m.
Categorical
Cabbage bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at baseline.
Categorical
Pean 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at 12m.
Categorical
Pean 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at 6m.
Categorical
Pean bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at baseline.
Categorical
Beans 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at 12m.
Categorical
Beans 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at 6m.
Categorical
Beans bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at baseline.
Categorical
Marrow 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at 12m.
Categorical
Marrow 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at 6m.
Categorical
Marrow bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at baseline.
Categorical
Cauliflower 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at 12m.
Categorical
Cauliflower 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at 6m.
Categorical
Cauliflower bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at baseline.
Categorical
Vegetables 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at 12m.
Real
Vegetables 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at 6m.
Real
Vegetables bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at baseline.
Real
Vit B12 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at 12m.
Real
Vit B12 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at 6m.
Real
Vit B12 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at baseline.
Real
Vit B6 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at 12m.
Real
Vit B6 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at 6m.
Real
Vit B6 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at baseline.
Real
Vit C 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at 12m.
Real
Vit C 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at 6m.
Real
Vit C bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at baseline.
Real
Vit D 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at 12m.
Real
Vit D 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at 6m.
Real
Vit D bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at baseline.
Real
Vit E - alpha tocopherol equiv 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at 12m.
Real
Vit E - alpha tocopherol equiv 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at 6m.
Real
Vit E - alpha tocopherol equiv bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at baseline.
Real
Water 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at 12m.
Real
Water 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at 6m.
Real
Water bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at baseline.
Real
Zinc 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at 12m.
Real
Zinc 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at 6m.
Real
Zinc bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at baseline.
Real
HbA1c 12m
HbA1c at 12 months in mmol/mol. Refer to hba1c_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to hba1c_12m_date.
Real
HbA1c missing 12m
Reason for missing HbA1c measurement at 12 months
Categorical
HbA1c 6m
HbA1c at 6 months in mmol/mol. Refer to hba1c_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hba1c_6m_date.
Real
HbA1c missing 6m
Reason for missing HbA1c measurement at 6 months
Categorical
HbA1c bl
HbA1c at baseline in mmol/mol. Refer to hba1c_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hba1c_bl_date.
Real
HbA1c missing bl
Reason for missing HbA1c measurement at baseline
Categorical
lost time amount 12m
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at 12m.
Real
HCU,
lost time amount 6m
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at 6m.
Real
HCU,
lost time amount bl
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at baseline.
Real
HCU,
lost time y/n 12m
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at 12m.
Categorical
HCU,
lost time y/n 6m
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at 6m.
Categorical
HCU,
lost time y/n bl
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at baseline.
Categorical
HCU,
A&E number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at 12m.
Integer
HCU,
A&E number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at 6m.
Integer
HCU,
A&E number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at baseline.
Integer
HCU,
A&E y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at 12m.
Categorical
HCU,
A&E y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at 6m.
Categorical
HCU,
A&E y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at baseline.
Categorical
HCU,
Non-NHS chiropractor cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS chiropractor cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS chiropractor cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS chiropractor visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS chiropractor visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS chiropractor visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS chiropractor name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at 12m.
Text
HCU,
Non-NHS chiropractor name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at 6m.
Text
HCU,
Non-NHS chiropractor name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at baseline.
Text
HCU,
Day patient number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at 12m.
Integer
HCU,
Day patient number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at 6m.
Integer
HCU,
Day patient number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at baseline.
Integer
HCU,
Day patient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at 12m.
Categorical
HCU,
Day patient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at 6m.
Categorical
HCU,
Day patient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at baseline.
Categorical
HCU,
GP visit time h 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at 12m.
Integer
HCU,
GP visit time h 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at 6m.
Integer
HCU,
GP visit time h bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at baseline.
Integer
HCU,
GP visit time min 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at 12m.
Integer
HCU,
GP visit time min 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at 6m.
Integer
HCU,
GP visit time min bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at baseline.
Integer
HCU,
Inpatient stay 1 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at 12m.
Integer
HCU,
Inpatient stay 1 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at 6m.
Integer
HCU,
Inpatient stay 1 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at baseline.
Integer
HCU,
Inpatient stay 2 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at 12m.
Integer
HCU,
Inpatient stay 2 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at 6m.
Integer
HCU,
Inpatient stay 2 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at baseline.
Integer
HCU,
Inpatient stay 3 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at 12m.
Integer
HCU,
Inpatient stay 3 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at 6m.
Integer
HCU,
Inpatient stay 3 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at baseline.
Integer
HCU,
Inpatient stay 4 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at 12m.
Integer
HCU,
Inpatient stay 4 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at 6m.
Integer
HCU,
Inpatient stay 4 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at baseline.
Integer
HCU,
Other hospital y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at 12m.
Categorical
HCU,
Other hospital y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at 6m.
Categorical
HCU,
Other hospital y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at baseline.
Categorical
HCU,
Inpatient stay 1 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at 12m.
Text
HCU,
Inpatient stay 1 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at 6m.
Text
HCU,
Inpatient stay 1 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at baseline.
Text
HCU,
Inpatient stay 2 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at 12m.
Text
HCU,
Inpatient stay 2 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at 6m.
Text
HCU,
Inpatient stay 2 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at baseline.
Text
HCU,
Inpatient stay 3 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at 12m.
Text
HCU,
Inpatient stay 3 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at 6m.
Text
HCU,
Inpatient stay 3 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at baseline.
Text
HCU,
Inpatient stay 4 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at 12m.
Text
HCU,
Inpatient stay 4 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at 6m.
Text
HCU,
Inpatient stay 4 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at baseline.
Text
HCU,
Outpatient time h 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at 12m.
Real
HCU,
Outpatient time h 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at 6m.
Real
HCU,
Outpatient time h bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at baseline.
Real
HCU,
Outpatient time min 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at 12m.
Real
HCU,
Outpatient time min 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at 6m.
Real
HCU,
Outpatient time min bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at baseline.
Real
HCU,
Inpatient stay 1 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at 12m.
Text
HCU,
Inpatient stay 1 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at 6m.
Text
HCU,
Inpatient stay 1 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at baseline.
Text
HCU,
Inpatient stay 2 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at 12m.
Text
HCU,
Inpatient stay 2 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at 6m.
Text
HCU,
Inpatient stay 2 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at baseline.
Text
HCU,
Inpatient stay 3 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at 12m.
Text
HCU,
Inpatient stay 3 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at 6m.
Text
HCU,
Inpatient stay 3 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at baseline.
Text
HCU,
Inpatient stay 4 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at 12m.
Text
HCU,
Inpatient stay 4 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at 6m.
Text
HCU,
Inpatient stay 4 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at baseline.
Text
HCU,
Inpatient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at 12m.
Categorical
HCU,
Inpatient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at 6m.
Categorical
HCU,
Inpatient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at baseline.
Categorical
HCU,
NHS counsellor visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 12m.
Integer
HCU,
NHS counsellor visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 6m.
Integer
HCU,
NHS counsellor visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at baseline.
Integer
HCU,
NHS counsellor visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 12m.
Categorical
HCU,
NHS counsellor visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 6m.
Categorical
HCU,
NHS counsellor visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at baseline.
Categorical
HCU,
NHS dietician visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 12m.
Integer
HCU,
NHS dietician visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 6m.
Integer
HCU,
NHS dietician visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at baseline.
Integer
HCU,
NHS dietician visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 12m.
Categorical
HCU,
NHS dietician visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 6m.
Categorical
HCU,
NHS dietician visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at baseline.
Categorical
HCU,
NHS education visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 12m.
Integer
HCU,
NHS education visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 6m.
Integer
HCU,
NHS education visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at baseline.
Integer
HCU,
NHS education visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at 12m.
Text
HCU,
NHS education visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at 6m.
Text
HCU,
NHS education visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at baseline.
Text
HCU,
NHS education visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 12m.
Categorical
HCU,
NHS education visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 6m.
Categorical
HCU,
NHS education visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at baseline.
Categorical
HCU,
NHS GP visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 12m.
Integer
HCU,
NHS GP visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 6m.
Integer
HCU,
NHS GP visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at baseline.
Integer
HCU,
NHS GP visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 12m.
Categorical
HCU,
NHS GP visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 6m.
Categorical
HCU,
NHS GP visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at baseline.
Categorical
HCU,
NHS home care visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 12m.
Integer
HCU,
NHS home care visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 6m.
Integer
HCU,
NHS home care visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at baseline.
Integer
HCU,
NHS home care visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 12m.
Categorical
HCU,
NHS home care visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 6m.
Categorical
HCU,
NHS home care visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at baseline.
Categorical
HCU,
NHS meals on wheels visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 12m.
Integer
HCU,
NHS meals on wheels visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 6m.
Integer
HCU,
NHS meals on wheels visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at baseline.
Integer
HCU,
NHS meals on wheels visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 12m.
Categorical
HCU,
NHS meals on wheels visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 6m.
Categorical
HCU,
NHS meals on wheels visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at baseline.
Categorical
HCU,
NHS nurse visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 12m.
Integer
HCU,
NHS nurse visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 6m.
Integer
HCU,
NHS nurse visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at baseline.
Integer
HCU,
NHS nurse visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 12m.
Categorical
HCU,
NHS nurse visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 6m.
Categorical
HCU,
NHS nurse visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at baseline.
Categorical
HCU,
NHS other 1 visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 12m.
Integer
HCU,
NHS other 1 visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 6m.
Integer
HCU,
NHS other 1 visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at baseline.
Integer
HCU,
NHS other 1 visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at 12m.
Text
HCU,
NHS other 1 visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at 6m.
Text
HCU,
NHS other 1 visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at baseline.
Text
HCU,
NHS other 1 visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 12m.
Categorical
HCU,
NHS other 1 visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 6m.
Categorical
HCU,
NHS other 1 visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at baseline.
Categorical
HCU,
NHS other 2 visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 12m.
Integer
HCU,
NHS other 2 visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 6m.
Integer
HCU,
NHS other 2 visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at baseline.
Integer
HCU,
NHS other 2 visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at 12m.
Text
HCU,
NHS other 2 visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at 6m.
Text
HCU,
NHS other 2 visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at baseline.
Text
HCU,
NHS other 2 visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 12m.
Categorical
HCU,
NHS other 2 visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 6m.
Categorical
HCU,
NHS other 2 visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at baseline.
Categorical
HCU,
NHS physio visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 12m.
Integer
HCU,
NHS physio visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 6m.
Integer
HCU,
NHS physio visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at baseline.
Integer
HCU,
NHS physio visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 12m.
Categorical
HCU,
NHS physio visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 6m.
Categorical
HCU,
NHS physio visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at baseline.
Categorical
HCU,
NHS weight management visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 12m.
Integer
HCU,
NHS weight management visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 6m.
Integer
HCU,
NHS weight management visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at baseline.
Integer
HCU,
NHS weight management visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at 12m.
Text
HCU,
NHS weight management visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at 6m.
Text
HCU,
NHS weight management visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at baseline.
Text
HCU,
NHS weight management visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 12m.
Categorical
HCU,
NHS weight management visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 6m.
Categorical
HCU,
NHS weight management visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at baseline.
Categorical
HCU,
Non-NHS chiropodist cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS chiropodist cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS chiropodist cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS chiropodist visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS chiropodist visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS chiropodist visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS chiropodist name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at 12m.
Text
HCU,
Non-NHS chiropodist name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at 6m.
Text
HCU,
Non-NHS chiropodist name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at baseline.
Text
HCU,
Non-NHS dietician cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS dietician cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS dietician cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS dietician visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS dietician visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS dietician visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS dietician name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at 12m.
Text
HCU,
Non-NHS dietician name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at 6m.
Text
HCU,
Non-NHS dietician name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at baseline.
Text
HCU,
Non-NHS other cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS other cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS other cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS dietician type 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at 12m.
Text
HCU,
Non-NHS dietician type 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at 6m.
Text
HCU,
Non-NHS dietician type bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at baseline.
Text
HCU,
Non-NHS other visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS other visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS other visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS other name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at 12m.
Text
HCU,
Non-NHS other name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at 6m.
Text
HCU,
Non-NHS other name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at baseline.
Text
HCU,
Non-NHS physio cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS physio cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS physio cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS physio visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS physio visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS physio visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS physio name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at 12m.
Text
HCU,
Non-NHS physio name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at 6m.
Text
HCU,
Non-NHS physio name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at baseline.
Text
HCU,
Non-NHS y/n 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at 12m.
Categorical
HCU,
Non-NHS y/n 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at 6m.
Categorical
HCU,
Non-NHS y/n bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at baseline.
Categorical
HCU,
OTC cost 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at 12m.
Real
HCU,
OTC cost 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at 6m.
Real
HCU,
OTC cost 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at baseline.
Real
HCU,
OTC cost 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at 12m.
Real
HCU,
OTC cost 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at 6m.
Real
HCU,
OTC cost 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at baseline.
Real
HCU,
OTC cost 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at 12m.
Real
HCU,
OTC cost 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at 6m.
Real
HCU,
OTC cost 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at baseline.
Real
HCU,
OTC cost 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at 12m.
Real
HCU,
OTC cost 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at 6m.
Real
HCU,
OTC cost 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at baseline.
Real
HCU,
OTC cost 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at 12m.
Real
HCU,
OTC cost 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at 6m.
Real
HCU,
OTC cost 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at baseline.
Real
HCU,
OTC cost 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at 12m.
Real
HCU,
OTC cost 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at 6m.
Real
HCU,
OTC cost 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at baseline.
Real
HCU,
OTC name 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at 12m.
Text
HCU,
OTC name 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at 6m.
Text
HCU,
OTC name 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at baseline.
Text
HCU,
OTC name 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at 12m.
Text
HCU,
OTC name 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at 6m.
Text
HCU,
OTC name 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at baseline.
Text
HCU,
OTC name 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at 12m.
Text
HCU,
OTC name 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at 6m.
Text
HCU,
OTC name 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at baseline.
Text
HCU,
OTC name 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at 12m.
Text
HCU,
OTC name 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at 6m.
Text
HCU,
OTC name 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at baseline.
Text
HCU,
OTC name 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at 12m.
Text
HCU,
OTC name 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at 6m.
Text
HCU,
OTC name 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at baseline.
Text
HCU,
OTC name 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at 12m.
Text
HCU,
OTC name 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at 6m.
Text
HCU,
OTC name 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at baseline.
Text
HCU,
OTC times 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC times 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC times 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC times 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC times 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC times 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at 12m.
Integer
HCU,
OTC times 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at 6m.
Integer
HCU,
OTC times 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at baseline.
Integer
HCU,
OTC y/n 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at 12m.
Categorical
HCU,
OTC y/n 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at 6m.
Categorical
HCU,
OTC y/n bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at baseline.
Categorical
HCU,
Outpatient number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at 12m.
Integer
HCU,
Outpatient number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at 6m.
Integer
HCU,
Outpatient number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at baseline.
Integer
HCU,
Outpatient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at 12m.
Categorical
HCU,
Outpatient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at 6m.
Categorical
HCU,
Outpatient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at baseline.
Categorical
HCU,
Non-NHS osteopath cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS osteopath cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS osteopath cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS osteopath visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS osteopath visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS osteopath visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS osteopath name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at 12m.
Text
HCU,
Non-NHS osteopath name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at 6m.
Text
HCU,
Non-NHS osteopath name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at baseline.
Text
HCU,
Non-NHS trainer cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS trainer cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS trainer cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS trainer visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS trainer visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS trainer visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS trainer name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at 12m.
Text
HCU,
Non-NHS trainer name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at 6m.
Text
HCU,
Non-NHS trainer name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at baseline.
Text
HCU,
Non-NHS weight mgt cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at 12m.
Real
HCU,
Non-NHS weight mgt cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at 6m.
Real
HCU,
Non-NHS weight mgt cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at baseline.
Real
HCU,
Non-NHS weight mgt visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at 12m.
Integer
HCU,
Non-NHS weight mgt visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at 6m.
Integer
HCU,
Non-NHS weight mgt visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at baseline.
Integer
HCU,
Non-NHS weight mgt name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at 12m.
Text
HCU,
Non-NHS weight mgt name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at 6m.
Text
HCU,
Non-NHS weight mgt name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at baseline.
Text
HCU,
days off work 12m
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at 12m.
Integer
HCU,
days off work 6m
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at 6m.
Integer
HCU,
days off work bl
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at baseline.
Integer
HCU,
in paid work 12m
Health Care Resource Use questionnaire. Are you in paid work? Asked at 12m.
Categorical
HCU,
in paid work 6m
Health Care Resource Use questionnaire. Are you in paid work? Asked at 6m.
Categorical
HCU,
in paid work bl
Health Care Resource Use questionnaire. Are you in paid work? Asked at baseline.
Categorical
HCU,
HDL cholesterol 12m
HDL cholesterol at 12 months in mmol/l. Refer to hdl_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to hdl_12m_date.
Real
HDL cholesterol source 12m
Source of HDL cholesterol measurement at 12 months.
Categorical
HDL cholesterol 6m
HDL cholesterol at 6 months in mmol/l. Refer to hdl_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hdl_6m_date.
Real
HDL cholesterol source 6m
Source of HDL cholesterol measurement at 6 months.
Categorical
HDL cholesterol bl
HDL cholesterol at baseline in mmol/l. Refer to hdl_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hdl_bl_date.
Real
HDL cholesterol source bl
Source of HDL cholesterol measurement at baseline.
Categorical
height
Participant height in cm. Refer to height_source for the source of the measurement.
Real
ICECAP achievement 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at 12m.
Categorical
ICECAP achievement 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at 6m.
Categorical
ICECAP achievement bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at baseline.
Categorical
ICECAP enjoyment 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at 12m.
Categorical
ICECAP enjoyment 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at 6m.
Categorical
ICECAP enjoyment bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at baseline.
Categorical
ICECAP independent 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at 12m.
Categorical
ICECAP independent 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at 6m.
Categorical
ICECAP independent bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at baseline.
Categorical
ICECAP love 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at 12m.
Categorical
ICECAP love 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at 6m.
Categorical
ICECAP love bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at baseline.
Categorical
ICECAP 12m
ICECAP questionnaire. State score at 12 months. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP 6m
ICECAP questionnaire. State score at 6 months. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP bl
ICECAP questionnaire. State score at baseline. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP settled 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at 12m.
Categorical
ICECAP settled 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at 6m.
Categorical
ICECAP settled bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at baseline.
Categorical
IMD quintile
Index of Multiple Deprivation quintile based on home postcode at baseline
Categorical
IMD,
IMD rank
Index of Multiple Deprivation rank based on home postcode at baseline. Not usually released for analysis.
Integer
IMD,
LDL cholesterol 12m
LDL cholesterol at 12 months in mmol/l. Refer to ldl_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to ldl_12m_date.
Real
LDL cholesterol source 12m
Source of LDL cholesterol measurement at 12 months.
Categorical
LDL cholesterol 6m
LDL cholesterol at 6 months in mmol/l. Refer to ldl_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to ldl_6m_date.
Real
LDL cholesterol source 6m
Source of LDL cholesterol measurement at 6 months.
Categorical
LDL cholesterol bl
LDL cholesterol at baseline in mmol/l. Refer to ldl_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to ldl_bl_date.
Real
LDL cholesterol source bl
Source of LDL cholesterol measurement at baseline.
Categorical
LWWD SR app
LWWD programme evaluation. How often did you use the Weight Watchers digital tools/app? Asked at 6 months.
Categorical
LWWD SR convenient
LWWD programme evaluation. How convenient did you find the programme? Asked at 6 months.
Categorical
LWWD,
LWWD SR dietician number
LWWD programme evaluation. How many telephone calls did you have with the dietician? Asked at 6 months.
Integer
LWWD SR dietician yn
LWWD programme evaluation. Did you take part in a diabetes education telephone call with the dietician? Asked at 6 months.
Categorical
LWWD SR managing
LWWD programme evaluation. How confident do you feel about managing your diabetes? Asked at 6 months.
Categorical
LWWD,
LWWD SR meetings yn
LWWD programme evaluation. Did you attend any Weight Watchers meetings? Asked at 6 months.
Categorical
LWWD SR meetings person
LWWD programme evaluation. How many in person meetings did you attend? Asked at 6 months.
Integer
LWWD SR recommend
LWWD programme evaluation. How likely are you to recommend this programme to someone else with diabetes? Asked at 6 months.
Categorical
LWWD,
LWWD SR satisfied
LWWD programme evaluation. How satisfied were you with the programme? Asked at 6 months.
Categorical
LWWD,
LWWD SR understanding
LWWD programme evaluation. How satisfied are you with your understanding of your diabetes? Asked at 6 months.
Categorical
LWWD,
LWWD uptake
Did the participant take up the LWWD intervention? Defined as completing at least 1 dietitian call and at least 1 other form of engagement (attending a WW meeting virtually or in-person, or using the WW app at least once for any action, e.g. weight tracking or food tracking).
Categorical
LWWD SR useful
LWWD programme evaluation. How useful did you find the programme? Asked at 6 months.
Categorical
LWWD,
LWWD SR meetings virtual
LWWD programme evaluation. How many virtual meetings did you attend? Asked at 6 months.
Integer
antihypertensives 12m
Prescribed antihypertensive medications at 12 months. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
antihypertensives 6m
Prescribed antihypertensive medications at 6 months. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
antihypertensives bl
Prescribed antihypertensive medications at baseline. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
anxiety/depression meds 12m
Prescribed anxiety or depression medications at 12 months. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
anxiety/depression meds 6m
Prescribed anxiety or depression medications at 6 months. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
anxiety/depression meds bl
Prescribed anxiety or depression medications at baseline. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
diabetes meds 12m
Prescribed anti-diabetic medications at 12 months. Defined as ATC codes A10****.
Categorical
diabetes meds 6m
Prescribed anti-diabetic medications at 6 months. Defined as ATC codes A10****.
Categorical
diabetes meds bl
Prescribed anti-diabetic medications at baseline. Defined as ATC codes A10****.
Categorical
lipid-lowering meds 12m
Prescribed lipid-lowering medications at 12 months. Defined as ATC codes C10**** A10BH5*.
Categorical
lipid-lowering meds 6m
Prescribed lipid-lowering medications at 6 months. Defined as ATC codes C10**** A10BH5*.
Categorical
lipid-lowering meds bl
Prescribed lipid-lowering medications at baseline. Defined as ATC codes C10**** A10BH5*.
Categorical
glucose-lowering change bl-12m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in medication from baseline to 12 months. This variable takes into account the number of meds and the dosage. Definitions used are as follows: No change = dosage is same and number of meds is same. Increase = dosage is same and number of meds increased OR dosage is increased and number of meds is same OR dosage is increased and number of meds increased OR dosage is decreased and number of meds increased. Decrease = dosage is same and number of meds decreased OR dosage is increased and number of meds is decreased OR dosage is decreased and number of meds is same OR dosage is decreased and number of meds is decreased.
Categorical
Meds,
glucose-lowering # change bl-12m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in the number of meds they are on at 12 months compared to baseline.
Categorical
Meds,
glucose-lowering # change bl-6m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in the number of meds they are on at 6 months compared to baseline.
Categorical
Meds,
statins 12m
Prescribed statins at 12 months. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
statins 6m
Prescribed statins at 6 months. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
statins bl
Prescribed statins at baseline. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
weightloss meds 12m
Prescribed weightloss medications at 12 months. Defined as ATC codes A08****.
Categorical
weightloss meds 6m
Prescribed weightloss medications at 6 months. Defined as ATC codes A08****.
Categorical
weightloss meds bl
Prescribed weightloss medications at baseline. Defined as ATC codes A08****.
Categorical
weightloss + GLP1 meds 12m
Prescribed weightloss medications including GLP-1 analogues at 12 months. Defined as ATC codes A08**** A10BJ**.
Categorical
weightloss + GLP1 meds 6m
Prescribed weightloss medications including GLP-1 analogues at 6 months. Defined as ATC codes A08**** A10BJ**.
Categorical
weightloss + GLP1 meds bl
Prescribed weightloss medications at baseline including GLP-1 analogues. Defined as ATC codes A08**** A10BJ**.
Categorical
DESMOND online status
DESMOND provider data. MYDESMOND online course status. Asked at 6 months. Participant was counted as "completed" if they interacted with at least 1 element of the programme at least once a week for 4 consecutive weeks.
Categorical
notes review bl
Notes review completed for participant at baseline.
Categorical
questionnaires 12m
Questionnaires completed by participant at 12m.
Categorical
questionnaires bl
Questionnaires completed by participant at baseline.
Categorical
questionnaire date 12m
Date of questionnaire completion at 12 months. Not recorded for all participants.
Date
questionnaire date 6m
Date of questionnaire completion at 6 months. Not recorded for all participants.
Date
questionnaire date bl
Date of questionnaire completion at baseline. Not recorded for all participants.
Categorical
Computer games hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at 12m.
Real
Computer games hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at 6m.
Real
Computer games hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at baseline.
Real
Computer games mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at 12m.
Real
Computer games mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at 6m.
Real
Computer games mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at baseline.
Real
Computer games freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at 12m.
Categorical
Computer games freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at 6m.
Categorical
Computer games freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at baseline.
Categorical
Total AEE discounting resting 12m
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at 12m.
Real
Total AEE discounting resting 6m
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at 6m.
Real
Total AEE discounting resting bl
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at baseline.
Real
AEE inc unaccounted time getting about 12m
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at 12m.
Real
AEE inc unaccounted time getting about 6m
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at 6m.
Real
AEE inc unaccounted time getting about bl
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at baseline.
Real
HI aerobics hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at 12m.
Real
HI aerobics hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at 6m.
Real
HI aerobics hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at baseline.
Real
HI aerobics mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at 12m.
Real
HI aerobics mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at 6m.
Real
HI aerobics mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at baseline.
Real
HI aerobics freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at 12m.
Categorical
HI aerobics freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at 6m.
Categorical
HI aerobics freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at baseline.
Categorical
Other aerobics hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at 12m.
Real
Other aerobics hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at 6m.
Real
Other aerobics hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at baseline.
Real
Other aerobics mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at 12m.
Real
Other aerobics mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at 6m.
Real
Other aerobics mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at baseline.
Real
Other aerobics freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at 12m.
Categorical
Other aerobics freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at 6m.
Categorical
Other aerobics freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at baseline.
Categorical
Backpacking hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at 12m.
Real
Backpacking hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at 6m.
Real
Backpacking hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at baseline.
Real
Backpacking mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at 12m.
Real
Backpacking mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at 6m.
Real
Backpacking mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at baseline.
Real
Backpacking freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at 12m.
Categorical
Backpacking freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at 6m.
Categorical
Backpacking freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at baseline.
Categorical
Bowling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at 12m.
Real
Bowling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at 6m.
Real
Bowling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at baseline.
Real
Bowling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at 12m.
Real
Bowling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at 6m.
Real
Bowling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at baseline.
Real
Bowling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at 12m.
Categorical
Bowling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at 6m.
Categorical
Bowling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at baseline.
Categorical
Combat hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at 12m.
Real
Combat hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at 6m.
Real
Combat hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at baseline.
Real
Combat mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at 12m.
Real
Combat mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at 6m.
Real
Combat mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at baseline.
Real
Combat freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at 12m.
Categorical
Combat freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at 6m.
Categorical
Combat freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at baseline.
Categorical
Commute net MET h/day 12m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
Commute net MET h/day 6m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
Commute net MET h/day bl
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
Commute MET h/day 12m
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at 12m.
Real
Commute MET h/day 6m
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at 6m.
Real
Commute MET h/day bl
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at baseline.
Real
Commute AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
Commute AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
Commute AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
Race running hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at 12m.
Real
Race running hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at 6m.
Real
Race running hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at baseline.
Real
Race running mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at 12m.
Real
Race running mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at 6m.
Real
Race running mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at baseline.
Real
Race running freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at 12m.
Categorical
Race running freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at 6m.
Categorical
Race running freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at baseline.
Categorical
Computer weekday >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
Computer weekday >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
Computer weekday >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
Computer weekday <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
Computer weekday <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
Computer weekday <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
Computer weekend >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
Computer weekend >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
Computer weekend >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
Computer weekend <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
Computer weekend <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
Computer weekend <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
Conditioning hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at 12m.
Real
Conditioning hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at 6m.
Real
Conditioning hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at baseline.
Real
Conditioning mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at 12m.
Real
Conditioning mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at 6m.
Real
Conditioning mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at baseline.
Real
Conditioning freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at 12m.
Categorical
Conditioning freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at 6m.
Categorical
Conditioning freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at baseline.
Categorical
Cricket hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at 12m.
Real
Cricket hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at 6m.
Real
Cricket hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at baseline.
Real
Cricket mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at 12m.
Real
Cricket mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at 6m.
Real
Cricket mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at baseline.
Real
Cricket freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at 12m.
Categorical
Cricket freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at 6m.
Categorical
Cricket freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at baseline.
Categorical
Leisure cycling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at 12m.
Real
Leisure cycling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at 6m.
Real
Leisure cycling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at baseline.
Real
Leisure cycling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at 12m.
Real
Leisure cycling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at 6m.
Real
Leisure cycling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at baseline.
Real
Leisure cycling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at 12m.
Categorical
Leisure cycling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at 6m.
Categorical
Leisure cycling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at baseline.
Categorical
Race cycling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at 12m.
Real
Race cycling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at 6m.
Real
Race cycling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at baseline.
Real
Race cycling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at 12m.
Real
Race cycling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at 6m.
Real
Race cycling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at baseline.
Real
Race cycling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at 12m.
Categorical
Race cycling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at 6m.
Categorical
Race cycling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at baseline.
Categorical
Dancing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at 12m.
Real
Dancing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at 6m.
Real
Dancing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at baseline.
Real
Dancing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at 12m.
Real
Dancing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at 6m.
Real
Dancing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at baseline.
Real
Dancing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at 12m.
Categorical
Dancing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at 6m.
Categorical
Dancing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at baseline.
Categorical
Weekdays worked 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at 12m.
Real
Weekdays worked 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at 6m.
Real
Weekdays worked bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at baseline.
Real
Weekend days worked 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at 12m.
Real
Weekend days worked 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at 6m.
Real
Weekend days worked bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at baseline.
Real
DIY hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at 12m.
Real
DIY hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at 6m.
Real
DIY hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at baseline.
Real
DIY mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at 12m.
Real
DIY mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at 6m.
Real
DIY mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at baseline.
Real
DIY freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at 12m.
Categorical
DIY freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at 6m.
Categorical
DIY freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at baseline.
Categorical
Weights hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at 12m.
Real
Weights hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at 6m.
Real
Weights hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at baseline.
Real
Weights mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at 12m.
Real
Weights mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at 6m.
Real
Weights mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at baseline.
Real
Weights freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at 12m.
Categorical
Weights freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at 6m.
Categorical
Weights freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at baseline.
Categorical
Floor exercises hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at 12m.
Real
Floor exercises hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at 6m.
Real
Floor exercises hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at baseline.
Real
Floor exercises mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at 12m.
Real
Floor exercises mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at 6m.
Real
Floor exercises mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at baseline.
Real
Floor exercises freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at 12m.
Categorical
Floor exercises freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at 6m.
Categorical
Floor exercises freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at baseline.
Categorical
Football hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at 12m.
Real
Football hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at 6m.
Real
Football hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at baseline.
Real
Football mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at 12m.
Real
Football mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at 6m.
Real
Football mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at baseline.
Real
Football freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at 12m.
Categorical
Football freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at 6m.
Categorical
Football freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at baseline.
Categorical
Getting About 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at 12m.
Categorical
Getting About 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at 6m.
Categorical
Getting About bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at baseline.
Categorical
Golf hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at 12m.
Real
Golf hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at 6m.
Real
Golf hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at baseline.
Real
Golf mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at 12m.
Real
Golf mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at 6m.
Real
Golf mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at baseline.
Real
Golf freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at 12m.
Categorical
Golf freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at 6m.
Categorical
Golf freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at baseline.
Categorical
Heavy gardening hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at 12m.
Real
Heavy gardening hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at 6m.
Real
Heavy gardening hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at baseline.
Real
Heavy gardening mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at 12m.
Real
Heavy gardening mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at 6m.
Real
Heavy gardening mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at baseline.
Real
Heavy gardening freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at 12m.
Categorical
Heavy gardening freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at 6m.
Categorical
Heavy gardening freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at baseline.
Categorical
Travel pattern 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at 12m.
Categorical
Travel pattern 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at 6m.
Categorical
Travel pattern bl
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at baseline.
Categorical
Home net MET h/day 12m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
Home net MET h/day 6m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
Home net MET h/day bl
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
Home MET h/day 12m
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at 12m.
Real
Home MET h/day 6m
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at 6m.
Real
Home MET h/day bl
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at baseline.
Real
Home AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
Home AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
Home AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
Horses hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at 12m.
Real
Horses hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at 6m.
Real
Horses hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at baseline.
Real
Horses mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at 12m.
Real
Horses mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at 6m.
Real
Horses mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at baseline.
Real
Horses freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at 12m.
Categorical
Horses freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at 6m.
Categorical
Horses freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at baseline.
Categorical
Housework hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at 12m.
Real
Housework hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at 6m.
Real
Housework hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at baseline.
Real
Housework mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at 12m.
Real
Housework mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at 6m.
Real
Housework mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at baseline.
Real
Housework freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at 12m.
Categorical
Housework freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at 6m.
Categorical
Housework freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at baseline.
Categorical
Fishing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at 12m.
Real
Fishing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at 6m.
Real
Fishing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at baseline.
Real
Fishing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at 12m.
Real
Fishing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at 6m.
Real
Fishing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at baseline.
Real
Fishing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at 12m.
Categorical
Fishing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at 6m.
Categorical
Fishing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at baseline.
Categorical
Skating hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at 12m.
Real
Skating hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at 6m.
Real
Skating hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at baseline.
Real
Skating mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at 12m.
Real
Skating mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at 6m.
Real
Skating mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at baseline.
Real
Skating freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at 12m.
Categorical
Skating freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at 6m.
Categorical
Skating freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at baseline.
Categorical
Jogging hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at 12m.
Real
Jogging hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at 6m.
Real
Jogging hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at baseline.
Real
Jogging mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at 12m.
Real
Jogging mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at 6m.
Real
Jogging mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at baseline.
Real
Jogging freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at 12m.
Categorical
Jogging freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at 6m.
Categorical
Jogging freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at baseline.
Categorical
Leisure net MET h/day 12m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
Leisure net MET h/day 6m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
Leisure net MET h/day bl
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
Leisure MET h/day 12m
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at 12m.
Real
Leisure MET h/day 6m
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at 6m.
Real
Leisure MET h/day bl
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at baseline.
Real
Leisure AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
Leisure AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
Leisure AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
Light intensity time 12m
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at 12m.
Real
Light intensity time 6m
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at 6m.
Real
Light intensity time bl
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at baseline.
Real
Light AEE 12m
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at 12m.
Real
Light AEE 6m
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at 6m.
Real
Light AEE bl
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at baseline.
Real
TV weekday >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
TV weekday >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
TV weekday >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
TV weekday <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
TV weekday <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
TV weekday <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
TV weekend >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
TV weekend >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
TV weekend >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
TV weekend <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
TV weekend <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
TV weekend <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
Moderate intensity time 12m
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at 12m.
Real
Moderate intensity time 6m
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at 6m.
Real
Moderate intensity time bl
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at baseline.
Real
Moderate AEE 12m
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at 12m.
Real
Moderate AEE 6m
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at 6m.
Real
Moderate AEE bl
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at baseline.
Real
Mowing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at 12m.
Real
Mowing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at 6m.
Real
Mowing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at baseline.
Real
Mowing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at 12m.
Real
Mowing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at 6m.
Real
Mowing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at baseline.
Real
Mowing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at 12m.
Categorical
Mowing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at 6m.
Categorical
Mowing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at baseline.
Categorical
Singing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at 12m.
Real
Singing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at 6m.
Real
Singing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at baseline.
Real
Singing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at 12m.
Real
Singing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at 6m.
Real
Singing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at baseline.
Real
zSinging freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at 12m.
Categorical
zSinging freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at 6m.
Categorical
zSinging freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at baseline.
Categorical
Netball hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at 12m.
Real
Netball hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at 6m.
Real
Netball hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at baseline.
Real
Netball mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at 12m.
Real
Netball mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at 6m.
Real
Netball mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at baseline.
Real
Netball freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at 12m.
Categorical
Netball freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at 6m.
Categorical
Netball freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at baseline.
Categorical
Other activity 1 hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at 12m.
Real
Other activity 1 hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at 6m.
Real
Other activity 1 hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at baseline.
Real
Other activity 1 mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at 12m.
Real
Other activity 1 mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at 6m.
Real
Other activity 1 mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at baseline.
Real
Other activity 1 type 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at 12m.
Text
Other activity 1 type 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at 6m.
Text
Other activity 1 type bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at baseline.
Text
Other activity 1 freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at 12m.
Categorical
Other activity 1 freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at 6m.
Categorical
Other activity 1 freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at baseline.
Categorical
Other activity 2 hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at 12m.
Real
Other activity 2 hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at 6m.
Real
Other activity 2 hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at baseline.
Real
Other activity 2 mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at 12m.
Real
Other activity 2 mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at 6m.
Real
Other activity 2 mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at baseline.
Real
Other activity 2 type 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at 12m.
Text
Other activity 2 type 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at 6m.
Text
Other activity 2 type bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at baseline.
Text
Other activity 2 freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at 12m.
Categorical
Other activity 2 freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at 6m.
Categorical
Other activity 2 freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at baseline.
Categorical
PAEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
PAEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
PAEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
Employment 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at 12m.
Categorical
Employment 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at 6m.
Categorical
Employment bl
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at baseline.
Categorical
Rowing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at 12m.
Real
Rowing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at 6m.
Real
Rowing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at baseline.
Real
Rowing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at 12m.
Real
Rowing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at 6m.
Real
Rowing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at baseline.
Real
Rowing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at 12m.
Categorical
Rowing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at 6m.
Categorical
Rowing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at baseline.
Categorical
Sailing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at 12m.
Real
Sailing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at 6m.
Real
Sailing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at baseline.
Real
Sailing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at 12m.
Real
Sailing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at 6m.
Real
Sailing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at baseline.
Real
Sailing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at 12m.
Categorical
Sailing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at 6m.
Categorical
Sailing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at baseline.
Categorical
Sedentary time excl sleep 12m
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at 12m.
Real
Sedentary time excl sleep 6m
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at 6m.
Real
Sedentary time excl sleep bl
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at baseline.
Real
Sedentary AEE [METhrs/d] 12m
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at 12m.
Real
Sedentary AEE [METhrs/d] 6m
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at 6m.
Real
Sedentary AEE [METhrs/d] bl
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at baseline.
Real
Skiing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at 12m.
Real
Skiing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at 6m.
Real
Skiing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at baseline.
Real
Skiing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at 12m.
Real
Skiing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at 6m.
Real
Skiing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at baseline.
Real
Skiing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at 12m.
Categorical
Skiing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at 6m.
Categorical
Skiing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at baseline.
Categorical
Snooker hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at 12m.
Real
Snooker hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at 6m.
Real
Snooker hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at baseline.
Real
Snooker mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at 12m.
Real
Snooker mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at 6m.
Real
Snooker mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at baseline.
Real
Snooker freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at 12m.
Categorical
Snooker freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at 6m.
Categorical
Snooker freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at baseline.
Categorical
Squash hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at 12m.
Real
Squash hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at 6m.
Real
Squash hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at baseline.
Real
Squash mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at 12m.
Real
Squash mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at 6m.
Real
Squash mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at baseline.
Real
Squash freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at 12m.
Categorical
Squash freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at 6m.
Categorical
Squash freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at baseline.
Categorical
Stairs weekday 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at 12m.
Categorical
Stairs weekday 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at 6m.
Categorical
Stairs weekday bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at baseline.
Categorical
Stairs weekend 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at 12m.
Categorical
Stairs weekend 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at 6m.
Categorical
Stairs weekend bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at baseline.
Categorical
Race swimming hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at 12m.
Real
Race swimming hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at 6m.
Real
Race swimming hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at baseline.
Real
Race swimming mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at 12m.
Real
Race swimming mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at 6m.
Real
Race swimming mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at baseline.
Real
Race swimming freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at 12m.
Categorical
Race swimming freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at 6m.
Categorical
Race swimming freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at baseline.
Categorical
Leisure swimming hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at 12m.
Real
Leisure swimming hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at 6m.
Real
Leisure swimming hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at baseline.
Real
Leisure swimming mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at 12m.
Real
Leisure swimming mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at 6m.
Real
Leisure swimming mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at baseline.
Real
Leisure swimming freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at 12m.
Categorical
Leisure swimming freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at 6m.
Categorical
Leisure swimming freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at baseline.
Categorical
Table tennis hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at 12m.
Real
Table tennis hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at 6m.
Real
Table tennis hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at baseline.
Real
Table tennis mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at 12m.
Real
Table tennis mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at 6m.
Real
Table tennis mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at baseline.
Real
Table tennis freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at 12m.
Categorical
Table tennis freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at 6m.
Categorical
Table tennis freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at baseline.
Categorical
Tennis hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at 12m.
Real
Tennis hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at 6m.
Real
Tennis hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at baseline.
Real
Tennis mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at 12m.
Real
Tennis mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at 6m.
Real
Tennis mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at baseline.
Real
Tennis freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at 12m.
Categorical
Tennis freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at 6m.
Categorical
Tennis freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at baseline.
Categorical
Total reported activity + sleep 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at 12m.
Real
Total reported activity + sleep 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at 6m.
Real
Total reported activity + sleep bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at baseline.
Real
Total reported METs 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at 12m.
Real
Total reported METs 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at 6m.
Real
Total reported METs bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at baseline.
Real
Total reported + unaccounted METs 12m
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at 12m.
Real
Total reported + unaccounted METs 6m
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at 6m.
Real
Total reported + unaccounted METs bl
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at baseline.
Real
Total reported activity 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at 12m.
Real
Total reported activity 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at 6m.
Real
Total reported activity bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at baseline.
Real
Vigorous intensity time 12m
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at 12m.
Real
Vigorous intensity time 6m
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at 6m.
Real
Vigorous intensity time bl
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at baseline.
Real
Vigorous AEE 12m
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at 12m.
Real
Vigorous AEE 6m
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at 6m.
Real
Vigorous AEE bl
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at baseline.
Real
Walking hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at 12m.
Real
Walking hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at 6m.
Real
Walking hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at baseline.
Real
Walking mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at 12m.
Real
Walking mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at 6m.
Real
Walking mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at baseline.
Real
Walking freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at 12m.
Categorical
Walking freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at 6m.
Categorical
Walking freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at baseline.
Categorical
Watering hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at 12m.
Real
Watering hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at 6m.
Real
Watering hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at baseline.
Real
Watering mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at 12m.
Real
Watering mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at 6m.
Real
Watering mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at baseline.
Real
Watering freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at 12m.
Categorical
Watering freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at 6m.
Categorical
Watering freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at baseline.
Categorical
Weeding hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at 12m.
Real
Weeding hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at 6m.
Real
Weeding hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at baseline.
Real
Weeding mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at 12m.
Real
Weeding mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at 6m.
Real
Weeding mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at baseline.
Real
Weeding freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at 12m.
Categorical
Weeding freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at 6m.
Categorical
Weeding freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at baseline.
Categorical
Hours work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
Hours work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
Hours work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
Mins work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
Mins work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
Mins work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
Reason no work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at 12m.
Categorical
Reason no work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at 6m.
Categorical
Reason no work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at baseline.
Categorical
Hours work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
Hours work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
Hours work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
Mins work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
Mins work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
Mins work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
Reason no work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at 12m.
Categorical
Reason no work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at 6m.
Categorical
Reason no work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at baseline.
Categorical
Hours work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
Hours work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
Hours work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
Mins work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
Mins work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
Mins work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
Reason no work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at 12m.
Categorical
Reason no work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at 6m.
Categorical
Reason no work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at baseline.
Categorical
Hours work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
Hours work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
Hours work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
Mins work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
Mins work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
Mins work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
Reason no work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at 12m.
Categorical
Reason no work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at 6m.
Categorical
Reason no work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at baseline.
Categorical
Work type 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at 12m.
Categorical
Work type 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at 6m.
Categorical
Work type bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at baseline.
Categorical
Work net MET h/day 12m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
Work net MET h/day 6m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
Work net MET h/day bl
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
Work MET h/day 12m
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at 12m.
Real
Work MET h/day 6m
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at 6m.
Real
Work MET h/day bl
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at baseline.
Real
Work AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
Work AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
Work AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
Travel by bike 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at 12m.
Categorical
Travel by bike 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at 6m.
Categorical
Travel by bike bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at baseline.
Categorical
Travel by car 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at 12m.
Categorical
Travel by car 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at 6m.
Categorical
Travel by car bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at baseline.
Categorical
Walk to work 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at 12m.
Categorical
Walk to work 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at 6m.
Categorical
Walk to work bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at baseline.
Categorical
Travel by PT 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at 12m.
Categorical
Travel by PT 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at 6m.
Categorical
Travel by PT bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at baseline.
Categorical
Distance to work miles 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at 12m.
Real
Distance to work miles 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at 6m.
Real
Distance to work miles bl
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at baseline.
Real
Distance to work km 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at 12m.
Real
Distance to work km 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at 6m.
Real
Distance to work km bl
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at baseline.
Real
Journeys to work 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at 12m.
Integer
Journeys to work 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at 6m.
Integer
Journeys to work bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at baseline.
Integer
smoking status 12m
Smoking status at 12 months. Refer to smoking_12m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_12m_date.
Categorical
smoking status 6m
Smoking status at 6 months. Refer to smoking_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_6m_date.
Categorical
smoking status bl
Smoking status at baseline. Refer to smoking_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_bl_date.
Categorical
systolic BP 12m
Systolic blood pressure at 12 months in mmHg. Refer to bp_source_12m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_12m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
systolic BP 6m
Systolic blood pressure at 6 months in mmHg. Refer to bp_source_6m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_6m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
systolic BP bl
Systolic blood pressure at baseline in mmHg. Refer to bp_source_bl for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_bl. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ flexible missing items 12m
Three-Factor Eating questionnaire. Number of missing items from flexible score at 12 months.
Integer
TFEQ,
TFEQ flexible missing items 6m
Three-Factor Eating questionnaire. Number of missing items from flexible score at 6 months.
Integer
TFEQ,
TFEQ flexible missing items bl
Three-Factor Eating questionnaire. Number of missing items from flexible score at baseline.
Integer
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ flexible control score 12m
Three-Factor Eating questionnaire. Flexible control of eating at 12 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ flexible control score 6m
Three-Factor Eating questionnaire. Flexible control of eating at 6 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ flexible control score bl
Three-Factor Eating questionnaire. Flexible control of eating at baseline. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ rigid missing items 12m
Three-Factor Eating questionnaire. Number of missing items from rigid score at 12m.
Integer
TFEQ,
TFEQ rigid missing items 6m
Three-Factor Eating questionnaire. Number of missing items from rigid score at 6m.
Integer
TFEQ,
TFEQ rigid missing items bl
Three-Factor Eating questionnaire. Number of missing items from rigid score at baseline.
Integer
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ rigid control score 12m
Three-Factor Eating questionnaire. Rigid control of eating at 12 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ rigid control score 6m
Three-Factor Eating questionnaire. Rigid control of eating at 6 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ rigid control score bl
Three-Factor Eating questionnaire. Rigid control of eating at baseline. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at baseline.
Categorical
TFEQ,
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at 12m.
Categorical
TFEQ,
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at 6m.
Categorical
TFEQ,
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at baseline.
Categorical
TFEQ,
Trigs 12m
Triglycerides at 12 months in mmol/l. J65Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to trigs_12m_date.
Real
Trigs source 12m
Source of triglyceride measurement at 12 months.
Categorical
Trigs 6m
Triglycerides at 6 months in mmol/l. Refer to trigs_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to trigs_6m_date.
Real
Trigs bl
Triglycerides at baseline in mmol/l. Refer to trigs_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to trigs_bl_date.
Real
UKPDS 10y risk
UKPDS risk of developing CHD in the next 10 years. Calculated at baseline for participants with complete risk data.
Real
study uptake
Did the participant take up the study intervention appropriate to their study arm? For the LWWD arm, defined as completing at least 1 dietitian call and at least 1 other form of engagement (attending a WW meeting virtually or in-person, or using the WW app at least once for any action, e.g. weight tracking or food tracking). For the LWWD arm, defined as attending DESMOND in person or completing MyDESMOND online.
Categorical
weight 12m
Participant weight at 12 months in kg. Refer to weight_12m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_12m_date.
Real
weight source 12m
Source of weight measurement at 12 months.
Categorical
weight 6m
Participant weight at 6 months in kg. Refer to weight_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_6m_date.
Real
weight source 6m
Source of weight measurement at 6 months.
Categorical
weight bl
Participant weight at baseline in kg. Refer to weight_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_bl_date.
Real
weight source bl
Source of weight measurement at baseline.
Categorical
withdrawal type
Type of withdrawal - full or partial. This variable records all withdrawals notes by the point of preparation of the 12m dataset but refer also to withdrawn_by_12m for which withdrawals had occurred by which study follow-up point. If for instance you are interested in withdrawals at 12m then ignore withdrawn_by_12m = later.
Categorical
withdrawn by
Point in the study by which participant had withdrawn. If for instance you are interested in withdrawals at 12m then ignore withdrawn_by_12m = later.
Categorical
LWWD 1st call status
LWWD provider data. 1st dietician support call successfully made.
Categorical
LWWD 2nd call status
LWWD provider data. 2nd dietician support call successfully made.
Categorical
LWWD facebook yn
LWWD provider data. Participant reported using facebook support group to dietician.
Categorical
LWWD intro call status
LWWD provider data. Introductory dietician call successfully made.
Categorical
LWWD meetings yn
LWWD provider data. Participant reported attending WW meetings to dietician.
Categorical
LWWD website use
LWWD provider data. Number of days when participant used website/app.
Integer
LWWD meetings attended
LWWD provider data. Number of in-person WW meetings attended. (Note that WW do not have a count of onine meetings attended.)
Integer
LWWD website food
LWWD provider data. Number of days on which participant tracked food on the website/app.
Integer
LWWD website PA
LWWD provider data. Number of days on which participant manually tracked phyisical activity on the website/app.
Integer
LWWD website auto PA
LWWD provider data. Number of days on which participant automatically tracked phyisical activity on the website/app. Note this data comes from devices e.g. fitbits and does not necessarily represent ongoing engagement with the website/app.
Integer
LWWD website weight
LWWD provider data. Number of days on which participant tracked weight on the website/app.
Integer
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