FFQ_drinks (All cleaned drinks variables related to Food Frequency Questionnaire as completed by participant.) 14
Name
Label
Description
Unit
DataType
Tea (cup) ERROR CODES CLEANED
Average use last year of Tea (cup) After cleaning this variable is renamed as TEA which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Coffee instant or ground (cup) ERROR CODES CLEANED
Average use last year of Coffee instant or ground (cup) After cleaning this variable is renamed as INSTANT_COFFEE which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Coffee decaffeinated (cup) ERROR CODES CLEANED
Average use last year of Coffee decaffeinated (cup) After cleaning this variable is renamed as DECAFF_COFFEE which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Coffee whitener eg Coffee-mate (teaspoon) ERROR CODES CLEANED
Average use last year of Coffee whitener eg Coffee-mate (teaspoon) After cleaning this variable is renamed as COFFEE_WHITENER which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Cocoa hot chocolate (cup) ERROR CODES CLEANED
Average use last year of Cocoa hot chocolate (cup) After cleaning this variable is renamed as COCOA which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Horlicks Ovaltine (cup) ERROR CODES CLEANED
Average use last year of Horlicks Ovaltine (cup) After cleaning this variable is renamed as HORLICKS which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Wine (glass) ERROR CODES CLEANED
Average use last year of Wine (glass) After cleaning this variable is renamed as WINE which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Beer lager or cider (half pint) ERROR CODES CLEANED
Average use last year of Beer lager or cider (half pint) After cleaning this variable is renamed as BEER which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Port sherry vermouth liqueurs (glass) ERROR CODES CLEANED
Average use last year of Port sherry vermouth liqueurs (glass) After cleaning this variable is renamed as PORT which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Spirits eg gin brandy whisky vodka (single) ERROR CODES CLEANED
Average use last year of Spirits eg gin brandy whisky vodka (single) After cleaning this variable is renamed as SPIRITS which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Low calorie or diet fizzy soft drinks (glass) ERROR CODES CLEANED
Average use last year of Low calorie or diet fizzy soft drinks (glass) After cleaning this variable is renamed as LOWCAL_FIZZY_DRINKS which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Fizzy soft drinks eg Coca cola lemonade(glass) ERROR CODES CLEANED
Average use last year of Fizzy soft drinks eg Coca cola lemonade (glass) After cleaning this variable is renamed as FIZZY_DRINKS which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Pure fruit juice (100%) eg orange applejuice (glass) ERROR CODES CLEANED
Average use last year of Pure fruit juice (100%) eg orange applejuice (glass) After cleaning this variable is renamed as FRUIT_JUICE which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Fruit squash or cordial (glass) ERROR CODES CLEANED
Average use last year of Fruit squash or cordial (glass) After cleaning this variable is renamed as FRUIT_SQUASH which is then used by the FETA program for analysis. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical