FFQ (All FFQ variables related to Food Frequency Questionnaire as completed by participant.) 574
Name
Label
Description
Unit
DataType
Visible fat
What did you do with the visible fat on your meat? After cleaning this variable is renamed as VISIBLE_FAT which is then used by the FETA program for analysis.
Categorical
Visible fat ERROR CODES CLEANED
What did you do with the visible fat on your meat? After cleaning this variable is renamed as VISIBLE_FAT 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 down to previous whole number. This question asks about the consumption of visible fat on meat (beef pork lamb etc). Variable name prior to Release 7 is A10VisibleFat_ADWN.
Categorical
Grilled frequency
How often did you eat grilled or roast meat? If a decimal was provided Data entry has been told to round down if it is < 0.5 or up if it is >= 0.5. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Grilled frequency ERROR CODES CLEANED
How often did you eat grilled or roast meat? If a decimal was provided Data entry has been told to round down if it is < 0.5 or up if it is >= 0.5. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up where values are >/0.5 and down if value is <0.5. Variable name prior to Release 7 is A11GrilledFreq_ANAT.
Categorical
Cooked
How well cooked did you usually have grilled or roast meat? Not mapped to FETA variable since not used by FETA.
Categorical
Cooked ERROR CODES CLEANED
How well cooked did you usually have grilled or roast meat? Not mapped to FETA variable since not used by FETA. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding down to previous whole number. Variable name prior to Release 7 is A12Cooked_ADWN.
Categorical
Cooking salt use
How often did you add salt to food while cooking? Not mapped to FETA variable since not used by FETA.
Categorical
Cooking salt use ERROR CODES CLEANED
How often did you add salt to food while cooking? Not mapped to FETA variable since not used by FETA. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding down to previous whole number. Variable name prior to Release 7 is A13CookingSalt_ADWN.
Categorical
Table salt use
How often did you add salt to any food at the table? Not mapped to FETA variable since not used by FETA.
Categorical
Table salt use ERROR CODES CLEANED
How often did you add salt to any food at the table? Not mapped to FETA variable since not used by FETA. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding down to previous whole number. Variable name prior to Release 7 is A14TableSalt_ADWN.
Categorical
Salt substitute use
Did you regularly use a salt substitute? Not mapped to FETA variable since not used by FETA.
Categorical
Brand of salt substitute used
Did you regularly use a salt substitute? Not mapped to FETA variable since not used by FETA. If yes (regularly use salt substitute) which brand of salt substitute? Not mapped to FETA variable since not used by FETA
Text
Supplements use
Have you taken any vitamins minerals fish oils fibre or other food supplements during the past year? Not mapped to FETA variable since not used by FETA.
Categorical
Brand of vitamin supplement 1
If yes list name and Brand of vitamin supplement 1. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 1
If yes list Frequency of vitamin supplement 1. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 2
If yes list name and Brand of vitamin supplement 2. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 2
If yes list Frequency of vitamin supplement 2. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 3
If yes list name and Brand of vitamin supplement 3. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 3
If yes list Frequency of vitamin supplement 3. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 4
If yes list name and Brand of vitamin supplement 4. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 4
If yes list Frequency of vitamin supplement 4. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 5
If yes list name and Brand of vitamin supplement 5. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 5
If yes list Frequency of vitamin supplement 5. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 6
If yes list name and Brand of vitamin supplement 6. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 6
If yes list Frequency of vitamin supplement 6. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 7
If yes list name and Brand of vitamin supplement 7. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 7
If yes list Frequency of vitamin supplement 7. Not mapped to FETA variable since not used by FETA
Text
Brand of vitamin supplement 8
If yes list name and Brand of vitamin supplement 8. Not mapped to FETA variable since not used by FETA
Text
Frequency of vitamin supplement 8
If yes list Frequency of vitamin supplement 8. Not mapped to FETA variable since not used by FETA
Text
Name of other food 1 eaten more than once per week
If yes please list Name of other food 1 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 1 eaten each week
If yes please list Number of times food 1 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 1
If yes please list Usual serving size for food 1. Not mapped to FETA variable since not used by FETA.
Categorical
Name of other food 2 eaten
If yes please list Name of other food 2 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 2 eaten each week
If yes please list Number of times food 2 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 2
If yes please list Usual serving size for food 2. Not mapped to FETA variable since not used by FETA.
Categorical
Name of other food 3 eaten
If yes please list Name of other food 3 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 3 eaten each week
If yes please list Number of times food 3 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 3
If yes please list Usual serving size for food 3. Not mapped to FETA variable since not used by FETA.
Categorical
Name of other food 4 eaten
If yes please list Name of other food 4 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 4 eaten each week
If yes please list Number of times food 4 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 4
If yes please list Usual serving size for food 4. Not mapped to FETA variable since not used by FETA.
Categorical
Name of other food 5 eaten
If yes please list Name of other food 5 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 5 eaten each week
If yes please list Number of times food 5 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 5
If yes please list Usual serving size for food 5. Not mapped to FETA variable since not used by FETA.
Categorical
Name of other food 6 eaten
If yes please list Name of other food 6 eaten more than once per week. Not mapped to FETA variable since not used by FETA.
Categorical
Number of times food 6 eaten each week
If yes please list Number of times food 6 eaten each week. Not mapped to FETA variable since not used by FETA.
times/week
Categorical
Usual serving size for food 6
If yes please list Usual serving size for food 6. Not mapped to FETA variable since not used by FETA.
Categorical
Other foods eaten >1 per week
Are there any other foods which you ate more than once a week in the last year? Not mapped to FETA variable since not used by FETA.
Categorical
Milk used
What type of milk did you most often use? Data translated manually into new variable MILK_FOOD using the milk_Lookuplist_161111. This new variable was then used by FETA.
Categorical
Other milk used
What type of milk did you most often use? - Other Milks in the last year. Data translated manually into new variable MILK_FOOD using the milk_Lookuplist_161111. This new variable was then used by FETA.
Text
Milk amount
How much milk did you drink each day including milk with tea coffee cereals etc in the last year? Data translated manually into new variable MILK_FREQUENCY which was then used by FETA.
Categorical
Breakfast Cereal
Did you usually eat breakfast cereal (excluding porridge and ready break mentioned earlier) in the last year? Data translated manually into new variable CEREAL_FOOD using the cereal_Lookuplist_130812. This new variable was then used by FETA.
Categorical
Brand breakfast cereal 1
If yes which type of breakfast cereal inclusing muesli did you usually eat? Brand of breakfast cereal 1. Data translated manually into new variable CEREAL_FOOD using the cereal_Lookuplist_130812. This new variable was then used by FETA.
Text
Type breakfast cereal 1
If yes which type of breakfast cereal inclusing muesli did you usually eat? Type of breakfast cereal 1. Data translated manually into new variable CEREAL_FOOD using the cereal_Lookuplist_130812. This new variable was then used by FETA.
Text
Brand breakfast cereal 2
If yes which type of breakfast cereal inclusing muesli did you usually eat? Brand of breakfast cereal 2. Data translated manually into new variable CEREAL_FOOD using the cereal_Lookuplist_130812. This new variable was then used by FETA.
Text
Type breakfast cereal 2
If yes which type of breakfast cereal inclusing muesli did you usually eat? Type of breakfast cereal 2. Data translated manually into new variable CEREAL_FOOD using the cereal_Lookuplist_130812. This new variable was then used by FETA.
Text
Fat used for frying
What kind of fat did you most often use for frying roasting grilling etc in the last year? Select one only. Data translated manually into new variable FAT_FRYING_FOOD using the fats_Lookuplist_161111. This new variable was then used by FETA.
Categorical
Other frying fat
If you used vegetable oil please give type eg. Corn sunflower. Data translated manually into new variable FAT_FRYING_FOOD using the fats_Lookuplist_161111. This new variable was then used by FETA.
Text
Fat used for baking
What kind of fat did you most often use for baking cakes etc? select one only. Data translated manually into new variable FAT_BAKING_FOOD using the fats_Lookuplist_161111. This new variable was then used by FETA.
Categorical
Other baking fat
If you used margarine please give name or type eg Flora Stork. Data translated manually into new variable FAT_BAKING_FOOD using the fats_Lookuplist_161111. This new variable was then used by FETA.
Text
Eat home fried food
How often did you eat food that was fried at home? Not mapped to FETA variable since not used by FETA.
Categorical
Eat home fried food ERROR CODES CLEANED
How often did you eat food that was fried at home? Not mapped to FETA variable since not used by FETA. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding down to previous whole number. Variable name for release prior to Release 7 is A8HomeFried_ADWN.
Categorical
Eat away fried food
How often did you eat fried food away from home? Not mapped to FETA variable since not used by FETA.
Categorical
Eat away fried food ERROR CODES CLEANED
How often did you eat fried food away from home? Not mapped to FETA variable since not used by FETA. All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding down to previous whole number. Variable name for release prior to Release 7 is A9AwayFried_ADWN.
Categorical
Average daily Alcohol intake
Average daily Alcohol intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 2.
g/day
Real
Average daily Alcoholic beverages intake from all FFQ foods consumed in g
Average daily alcoholic beverages intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 900
g/day
Real
Average daily Alpha_carotene intake
Average daily Alpha carotene intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 1.
mcg
Real
Apigenin
Flavonoid variable Apigenin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_770_g
mg/day
Real
Fruit - apples fresh
Daily consumption of Fruit - apples fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - avocados
Daily consumption of Fruit - avocados in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - bacon including gammon
Daily consumption of Meat - bacon including gammon in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Legumes - Baked beans
Daily consumption of Legumes - Baked beans in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - bananas fresh
Daily consumption of Fruit - bananas fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Legumes - green/broad/runner/french beans
Daily consumption of Legumes - green/broad/runner/french beans in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - beansprouts
Daily consumption of Vegetables - beansprouts in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - beef - roast steak mince stew or casserole
Daily consumption of Meat - beef - roast steak mince stew or casserole in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - beefburgers
Daily consumption of Meat - beefburgers in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Alcoholic beverages - beer lager & cider
Daily consumption of Alcoholic beverages - beer lager & cider in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - beetroot
Daily consumption of Vegetables - beetroot in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Beta_carotene intake
Average daily Beta carotene intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 5.
ug/day
Real
Biochanin A
Flavonoid variable Biochanin A calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_714_g
mg/day
Real
White bread and rolls ERROR CODES CLEANED
Average use last year of White bread and rolls After cleaning this variable is renamed as WHITE_BREAD 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
Brown bread and rolls ERROR CODES CLEANED
Average use last year of Brown bread and rolls After cleaning this variable is renamed as BROWN_BREAD 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
Wholemeal bread and rolls ERROR CODES CLEANED
Average use last year of Wholemeal bread and rolls After cleaning this variable is renamed as WHOLEMEAL_BREAD 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
Cream crackers cheese biscuits ERROR CODES CLEANED
Average use last year of Cream crackers cheese biscuits After cleaning this variable is renamed as CRACKERS 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
Crispbread eg Ryvita ERROR CODES CLEANED
Average use last year of Crispbread eg Ryvita After cleaning this variable is renamed as CRISPBREAD 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
White bread and rolls
Average use last year of White bread and rolls. After cleaning this variable is renamed as WHITE_BREAD which is then used by the FETA program for analysis.
Categorical
Brown bread and rolls
Average use last year of Brown bread and rolls. After cleaning this variable is renamed as BROWN_BREAD which is then used by the FETA program for analysis.
Categorical
Wholemeal bread and rolls
Average use last year of Wholemeal bread and rolls. After cleaning this variable is renamed as WHOLEMEAL_BREAD which is then used by the FETA program for analysis.
Categorical
Cream crackers; cheese biscuits
Average use last year of Cream crackers cheese biscuits. After cleaning this variable is renamed as CRACKERS which is then used by the FETA program for analysis.
Categorical
Crispbread eg Ryvita
Average use last year of Crispbread eg Ryvita. After cleaning this variable is renamed as CRISPBREAD which is then used by the FETA program for analysis.
Categorical
Vegetables - broccoli/spring greens/kale
Daily consumption of Vegetables - broccoli/spring greens/kale in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - brussels sprouts
Daily consumption of Vegetables - brussels sprouts in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Brown rice
Daily consumption of Brown rice in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Buns pastries eg croissants doughnuts commercial
Daily consumption of Buns pastries e.g. croissants doughnuts commercial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Buns pastries eg scones flapjacks homemade
Daily consumption of Buns pastries e.g. scones flapjacks homemade in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Butter
Daily consumption of Butter in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - cabbage
Daily consumption of Vegetables - cabbage in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cakes eg fruit sponge commercial
Daily consumption of Cakes e.g. fruit sponge commercial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cakes eg fruit sponge homemade
Daily consumption of Cakes e.g. fruit sponge homemade in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Calcium intake
Average daily Calcium intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 8.
mg/day
Real
Average daily Carbohydrate_fructose intake
Average daily Carbohydrate - fructose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 56.
g/day
Real
Average daily Carbohydrate_galactose intake
Average daily Carbohydrate - galactose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 57.
g/day
Real
Average daily Carbohydrate_glucose intake
Average daily Carbohydrate - glucose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 58.
g/day
Real
Average daily Carbohydrate_lactose intake
Average daily Carbohydrate - lactose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 66.
g/day
Real
Average daily Carbohydrate_maltose intake
Average daily Carbohydrate - maltose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 68.
g/day
Real
Average daily Carbohydrate_starch intake
Average daily Carbohydrate - starch intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 97.
g/day
Real
Average daily Carbohydrate_sucrose intake
Average daily Carbohydrate - sucrose intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 98.
g/day
Real
Average daily Carbohydrate_sugars_total intake
Average daily Carbohydrate - sugars (total) intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 101
g/day
Real
Average daily Carbohydrate_total intake
Average daily Carbohydrate - total intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 11.
g/day
Real
Average daily Carotene_total_carotene_equivalents intake
Average daily Total carotene (carotene equivalents) in ug/day intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 9.
ug/day
Real
Vegetables - carrots
Daily consumption of Vegetables - carrots in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Catechin
Flavonoid variable (+)-Catechin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_749_g
mg/day
Real
Catechin 3-gallate
Flavonoid variable (+)-Catechin 3-gallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_795_g
mg/day
Real
Vegetables - cauliflower
Daily consumption of Vegetables - cauliflower in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Porridge; Readybrek ERROR CODES CLEANED
How often did you eat Porridge/ readybrek (one bowl) on average last year After cleaning this variable is renamed as PORRIDGE 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
Breakfast cereal ERROR CODES CLEANED
How often did you eatbreakfast cereal (one bowl) on average last year After cleaning this variable is renamed as CEREAL 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
Porridge; Readybrek
How often did you eat Porridge/ readybrek (one bowl) on average last year. After cleaning this variable is renamed as PORRIDGE which is then used by the FETA program for analysis.
Categorical
Breakfast cereal
How often did you eatbreakfast cereal (one bowl) on average last year. After cleaning this variable is renamed as CEREAL which is then used by the FETA program for analysis.
Categorical
Breakfast cereals - excl porridge/porridge types
Daily consumption of Breakfast cereals - excl porridge/porridge types in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Cereals and cereal products intake from all FFQ foods consumed in g
Average daily cereals and cereal products intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 901
g/day
Real
The text given must be translated into food code s using the cereal lookup list You can list up t
Variable derived by study staff from raw FFQ data for A5bCereal1Brand A5bCereal1Type A5bCereal2Brand and A5bCereal2Type.
Categorical
Cheese Cheddar/Brie/Edam type
Daily consumption of Cheese Cheddar/Brie/Edam type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cottage cheese/low fat soft cheese
Daily consumption of Cottage cheese/low fat soft cheese in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Chloride intake
Average daily Chloride intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 13.
mg/day
Real
Chocolate snack bars eg Mars Crunchie
Daily consumption of Chocolate snack bars e.g. Mars Crunchie in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Chocolates singles or squares
Daily consumption of Chocolates singles or squares in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Cholesterol intake
Average daily Cholesterol intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 12.
mg/day
Real
Cocoa hot chocolate
Daily consumption of Cocoa hot chocolate in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Coffee instant or ground
Daily consumption of Coffee instant or ground in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Coffee decaffeinated
Daily consumption of Coffee decaffeinated in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Coffee whitener eg coffeemate
Daily consumption of Coffee whitener e.g coffeemate in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetable salads - coleslaw
Daily consumption of Vegetable salads - coleslaw in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Copper intake
Average daily Copper intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 15.
mg/day
Real
Meat - corned beef Spam luncheon meats
Daily consumption of Meat - corned beef Spam luncheon meats in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Coumestrol
Flavonoid variable Coumestrol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_716_g
mg/day
Real
Vegetables - marrows/courgettes
Daily consumption of Vegetables - marrows/courgettes in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Biscuits cracker/cheese biscuit type
Daily consumption of Biscuits cracker/cheese biscuit type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Biscuits crispbread type
Daily consumption of Biscuits crispbread type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Crisps or other packet snacks eg Wotsits
Daily consumption of Crisps or other packet snacks e.g. Wotsits in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cream double or clotted
Daily consumption of Cream double or clotted in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cream single or sour
Daily consumption of Cream single or sour in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Cyanidin
Flavonoid variable Cyanidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_731_g
mg/day
Real
Daidzein
Flavonoid variable Daidzein calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_710_g
mg/day
Real
Single or sour cream (tablespoon) ERROR CODES CLEANED
Average use last year of Single or sour cream (tablespoon) After cleaning this variable is renamed as SINGLE_CREAM 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
Double or clotted cream (tablespoon) ERROR CODES CLEANED
Average use last year of Low calorie low fat salad cream (tablespoon) After cleaning this variable is renamed as LOWCAL_SALAD_CREAM 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 fat yogurt fromage frais (125g carton) ERROR CODES CLEANED
Average use last year of Salad Cream Mayonnaise (tablespoon) After cleaning this variable is renamed as SALAD_CREAM 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
Full fat or Greek yogurt (125g carton) ERROR CODES CLEANED
Average use last year of French Dressing (tablespoon) After cleaning this variable is renamed as FRENCH 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
Dairy desserts (125g carton) ERROR CODES CLEANED
Average use last year of Other Salad Dressing (tablespoon) After cleaning this variable is renamed as OTHER_DRESSING 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
Cheese eg Cheddar Brie Edam(medium serving) ERROR CODES CLEANED
Average use last year on bread or vegetables of Butter (teaspoon) After cleaning this variable is renamed as BUTTER 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
Cottage cheese low fat soft cheese(medium serving) ERROR CODES CLEANED
Average use last year on bread or vegetables of Hard margarine eg Stork Krona (teaspoon) After cleaning this variable is renamed as HARD_MARGARINE 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
Eggs as boiled fried scrambled etc (one) ERROR CODES CLEANED
Average use last year on bread or vegetables of Polyunsaturated margarine eg Flora sunflower (teaspoon) After cleaning this variable is renamed as POLYUNSATURATED_MARGARINE 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
Quiche (medium serving) ERROR CODES CLEANED
Average use last year on bread or vegetables of Other soft margarine eg Blue Band Stork SB (teaspoon) After cleaning this variable is renamed as OTHER_MARGARINE 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 low fat salad cream tablespoon
Average use last year of Low calorie low fat salad cream (tablespoon). After cleaning this variable is renamed as LOWCAL_SALAD_CREAM which is then used by the FETA program for analysis.
Categorical
Low calorie low fat salad cream (tablespoon) ERROR CODES CLEANED
Average use last year on bread or vegetables of Low fat spread eg Outline Gold After cleaning this variable is renamed as LOWFAT_SPREAD 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
Salad Cream Mayonnaise tablespoon
Average use last year of Salad Cream Mayonnaise (tablespoon). After cleaning this variable is renamed as SALAD_CREAM which is then used by the FETA program for analysis.
Categorical
Salad Cream; Mayonnaise (tablespoon) ERROR CODES CLEANED
Average use last year on bread or vegetables of Very low fat spread (teaspoon) After cleaning this variable is renamed as VERY_LOWFAT_SPREAD 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
French Dressing tablespoon
Average use last year of French Dressing (tablespoon). After cleaning this variable is renamed as FRENCH which is then used by the FETA program for analysis.
Categorical
French Dressing (tablespoon) ERROR CODES CLEANED
Average use last year of Double or clotted cream (tablespoon) After cleaning this variable is renamed as DOUBLE_CREAM 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
Other Salad Dressing tablespoon
Average use last year of Other Salad Dressing (tablespoon). After cleaning this variable is renamed as OTHER_DRESSING which is then used by the FETA program for analysis.
Categorical
Other Salad Dressing (tablespoon) ERROR CODES CLEANED
Average use last year of Quiche (medium serving) After cleaning this variable is renamed as QUICHE 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
Butter teaspoon
Average use last year on bread or vegetables of Butter (teaspoon). After cleaning this variable is renamed as BUTTER which is then used by the FETA program for analysis.
Categorical
Butter (teaspoon) ERROR CODES CLEANED
Average use last year of Low fat yogurt fromage frais (125g carton) After cleaning this variable is renamed as LOWFAT_YOGURT 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
Hard margarine eg Stork Krona teaspoon
Average use last year on bread or vegetables of Hard margarine eg. Stork Krona (teaspoon). After cleaning this variable is renamed as HARD_MARGARINE which is then used by the FETA program for analysis.
Categorical
Hard margarine eg Stork Krona (teaspoon) ERROR CODES CLEANED
Average use last year of Full fat or Greek yogurt (125g carton) After cleaning this variable is renamed as FULLFAT_YOGURT 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
Polyunsaturated margarine eg Flora sunflower teaspoon
Average use last year on bread or vegetables of Polyunsaturated margarine eg. Flora sunflower (teaspoon). After cleaning this variable is renamed as POLYUNSATURATED_MARGARINE which is then used by the FETA program for analys.
Categorical
Polyunsaturated margarine eg Flora sunflower (teaspoon) ERROR CODES CLEANED
Average use last year of Dairy desserts (125g carton) After cleaning this variable is renamed as DAIRY_DESSERT 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
Other soft margarine eg Blue Band Stork SB. teaspoon
Average use last year on bread or vegetables of Other soft margarine eg. Blue Band Stork S.B. (teaspoon). After cleaning this variable is renamed as OTHER_MARGARINE which is then used by the FETA program for analysis.
Categorical
Other soft margarine eg Blue Band Stork S.B. (teaspoon) ERROR CODES CLEANED
Average use last year of Cheese eg Cheddar Brie Edam (medium serving) After cleaning this variable is renamed as CHEESE 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 fat spread; eg Outline; Gold
Average use last year on bread or vegetables of Low fat spread eg. Outline Gold. After cleaning this variable is renamed as LOWFAT_SPREAD which is then used by the FETA program for analysis.
Categorical
Low fat spread eg Outline Gold ERROR CODES CLEANED
Average use last year of Cottage cheese; low fat soft cheese (medium serving) Average use last year of Cottage cheese low fat soft cheese (medium serving) After cleaning this variable is renamed as COTTAGE_CHEESE 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
Very low fat spread teaspoon
Average use last year on bread or vegetables of Very low fat spread (teaspoon). After cleaning this variable is renamed as VERY_LOWFAT_SPREAD which is then used by the FETA program for analysis.
Categorical
Very low fat spread (teaspoon) ERROR CODES CLEANED
Average use last year of Eggs as boiled fried scrambled etc (one) After cleaning this variable is renamed as EGGS 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
Single or sour cream tablespoon
Average use last year of Single or sour cream (tablespoon). After cleaning this variable is renamed as SINGLE_CREAM which is then used by the FETA program for analysis.
Categorical
Double or clotted cream tablespoon
Average use last year of Double or clotted cream (tablespoon). After cleaning this variable is renamed as DOUBLE_CREAM which is then used by the FETA program for analysis.
Categorical
Low fat yogurt fromage frais 125g carton
Average use last year of Low fat yogurt fromage frais (125g carton). After cleaning this variable is renamed as LOWFAT_YOGURT which is then used by the FETA program for analysis.
Categorical
Full fat or Greek yogurt 125g carton
Average use last year of Full fat or Greek yogurt (125g carton). After cleaning this variable is renamed as FULLFAT_YOGURT which is then used by the FETA program for analysis.
Categorical
Dairy desserts 125g carton
Average use last year of Dairy desserts (125g carton). After cleaning this variable is renamed as DAIRY_DESSERT which is then used by the FETA program for analysis.
Categorical
Cheese eg Cheddar Brie Edam medium serving
Average use last year of Cheese eg. Cheddar Brie Edam (medium serving). After cleaning this variable is renamed as CHEESE which is then used by the FETA program for analysis.
Categorical
Cottage cheese
Average use last year of Cottage cheese; low fat soft cheese (medium serving). Average use last year of Cottage cheese low fat soft cheese (medium serving). After cleaning this variable is renamed as COTTAGE_CHEESE which is then used by the FETA program for analysis.
Categorical
Eggs as boiled; fried; scrambled etc one
Average use last year of Eggs as boiled fried scrambled etc (one). After cleaning this variable is renamed as EGGS which is then used by the FETA program for analysis.
Categorical
Quiche medium serving
Average use last year of Quiche (medium serving). After cleaning this variable is renamed as QUICHE which is then used by the FETA program for analysis.
Categorical
Dairy desserts commercial
Daily consumption of Dairy desserts commercial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Delphinidin
Flavonoid variable Delphinidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_741_g
mg/day
Real
Dash accordance score
New for R7 with altered data in R8. The DASH accordance score represents the degree to which dietary intakes align with food and nutrient targets in the Dietary Approaches to Stop Hypertension (DASH). This data is calculated by a script which uses data on 60 different food items (which in turn were calculated using FETA output 3 data on the FFQ data) as well as FreeSugarIntake - Sodium and Energy_kcal data. The score ranges from 8 to 40 units of adherence where 8 is the lowest possible adherence and 40 is complete adherence. Note: DASH accordance score is calculated using residuals and quintiles and is population specific. Therefore scores from previous releases become invalid when new participants are included.
Integer
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
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.
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
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.
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
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.
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
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.
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
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.
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
Tea cup
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.
Categorical
Coffee instant or ground cup
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.
Categorical
Coffee decaffeinated cup
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.
Categorical
Coffee whitener eg Coffee-mate teaspoon
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.
Categorical
Cocoa hot chocolate cup
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.
Categorical
Horlicks Ovaltine cup
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.
Categorical
Wine glass
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.
Categorical
Beer lager or cider half pint
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.
Categorical
Port sherry vermouth liqueurs glass
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.
Categorical
Fruit - dried fruit
Daily consumption of Fruit - dried fruit in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Legumes - dried lentils/beans/peas
Daily consumption of Legumes - dried lentils/beans/peas in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Eggs boiled fried scrambled
Daily consumption of Eggs boiled fried scrambled in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Eggs and egg dishes intake from all FFQ foods consumed in g
Average daily egss and egg dishes intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 902
g/day
Real
energyfoodonly
New in R8. Energy (kcal) from food sources only. Beverages were defined as teas coffees -hot-chocolate - Horlicks - alcoholic beverages - fizzy drinks - fruit juice - fruit squash and milk. Foods included all foods including semi-solid foods like yoghurt and soups. The energy from sugar added to tea/coffee/cereal was considered as energy in beverages.
Joules
Real
Average daily Energy_kcal intake
Average daily Energy_kcal intake from all FFQ foods consumed in kcal. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 64.
kcal/day
Real
Average daily Energy_kj intake
Average daily Energy_kj intake from all FFQ foods consumed in kJ. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 65.
kJ/day
Real
Average daily Englyst_Fibre_Non_Starch_Polysaccharides_NSP intake
Average daily Englyst Fibre - Non Starch Polysaccharides (NSP) intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 20.
g/day
Real
Enterodiol
Flavonoid variable Enterodiol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_804_g
mg/day
Real
Enterolactone
Flavonoid variable Enterolactone calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_802_g
mg/day
Real
Epicatechin
Flavonoid variable (-)-Epicatechin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_751_g
mg/day
Real
-Epicatechin 3-gallate
Flavonoid variable (-)-Epicatechin 3-gallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_752_g
mg/day
Real
Epigallocatechin
Flavonoid variable (-)-Epigallocatechin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_750_g
mg/day
Real
Epigallocatechin 3-gallate
Flavonoid variable (-)-Epigallocatechin 3-gallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_753_g
mg/day
Real
Equol
Flavonoid variable Equol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_803_g
mg/day
Real
Eriodictyol
Flavonoid variable Eriodictyol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_758_g
mg/day
Real
Average daily Fats and oils intake from all FFQ foods consumed in g
Average daily fats and oils intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 903
g/day
Real
This question asks about the type of fat used most often for baking cakes etc There is a fats look-
Variable derived by study staff from raw FFQ data for A7aBakingFat and A7bOtherfat.
Categorical
This question asks about the type of fat used most often for frying roasting grilling etc There i
Variable derived by study staff from raw FFQ data for A6aFryingFat and A6bOtherfat.
Categorical
Average daily Fat_total intake
Average daily Fat - total intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 600.
g/day
Real
General comments
Comments entered on FFQ form. Not mapped to FETA variable since not used by FETA.
Text
Average daily Fish & fish products intake from all FFQ foods consumed in g
Average daily fish and fish products intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 904
g/day
Real
Fish - in batter
Daily consumption of Fish - in batter in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fish - fingers & cakes
Daily consumption of Fish - fingers & cakes in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fish - oily fish without additions
Daily consumption of Fish - oily fish without additions in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fish - roe & taramasalata
Daily consumption of Fish - roe & taramasalata in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fish - molluscs & crustacea
Daily consumption of Fish - molluscs & crustacea in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fish - white fish without additions
Daily consumption of Fish - white fish without additions in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fizzy soft drinks eg Coca Cola lemonade
Daily consumption of Fizzy soft drinks e.g. Coca Cola lemonade in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fizzy soft drinks low calorie or diet
Daily consumption of Fizzy soft drinks low calorie or diet in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Food_Energy_kcal
New in R8. Food energy (kcal). daily energy intakes excluding the contribution from alcohol. Please note that there should be less than 5kcal difference between total foodenergy and Food_Energy_kcal (data not provided). Calculated as follows Food_Energy_kcal = ((protein*4)+(carbohydrate_total*3.75)+( fat_total*9)) - (alcohol*7)
KCals
Integer
Price total diet per day
Price of total diet per day in pounds sterling. Derivation: Each food and drink in the FFQ nutrient database was priced in June 2012 using MySupermarket.com a website for comparing supermarket food prices nationwide in the UK. For each of the 290 items in the FFQ the lowest non-sale price was selected from among the five retailers represented on the website at that time: Tesco Sainsbury-s Asda Waitrose and Ocado. These food prices were appended to the FFQ at food_code level using the most disaggregated data from FETA (Output 4) and then concatenating on meal_id and subject_id.
Pounds Stirling/day
Real
Formononetin
Flavonoid variable Formononetin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_715_g
mg/day
Real
Alcoholic beverages - fortified wines and liqueurs
Daily consumption of Alcoholic beverages - fortified wines and liqueurs in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Free sugar intake
New in R7. Free sugar intake as defined by the WHO in gram per day g/d. Data derived by study management using FETA v2.53 data output. Variable inclusion criteria: total sugar from fruit juice or table sugar or honey or syrups or sucrose and glucose added to foods. 0% of sugars in canned stewed and dried fruit 50% of total sugar in all processed foods e.g. Refined cereal baked beans 50% of sugar in tinned fruit in syrup as has double tinned fruit in own juice sugar content. Milk excluded but dairy products and milk based beverages included as total sugar - lactose. Variable was generated according to the WHO definition of free sugar but as the definition does not give adequate methodology for calculation of the variable post hoc from dietary assessment data published methodologies for non-milk extrinsic sugars were adapted.
g/day
Real
Fruit pies tarts crumbles commercial
Daily consumption of Fruit pies tarts crumbles commercial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit pies tarts crumbles homemade
Daily consumption of Fruit pies tarts crumbles homemade in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily fruit intake
Average daily fruit intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 905.
g/day
Real
Apples (1 fruit) ERROR CODES CLEANED
Average use last year of Apples (1 fruit) After cleaning this variable is renamed as APPLES 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
Pears (1 fruit) ERROR CODES CLEANED
Average use last year of Pears (1 fruit) After cleaning this variable is renamed as PEARS 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
Oranges satsumas mandarins 1 fruit
Average use last year of Oranges satsumas mandarins (1 fruit). After cleaning this variable is renamed as ORANGES which is then used by the FETA program for analysis.
Categorical
Oranges satsumas mandarins (1 fruit) ERROR CODES CLEANED
Average use last year of Oranges satsumas mandarins (1 fruit) After cleaning this variable is renamed as ORANGES 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
Grapefruit (half) ERROR CODES CLEANED
Average use last year of Grapefruit (half) After cleaning this variable is renamed as GRAPEFRUIT 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
Bananas (1 fruit) ERROR CODES CLEANED
Average use last year of Bananas (1 fruit) After cleaning this variable is renamed as BANANAS 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
Grapes (medium serving) ERROR CODES CLEANED
Average use last year of Grapes (medium serving) After cleaning this variable is renamed as GRAPES 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
Melon (1 slice) ERROR CODES CLEANED
Average use last year of Melon (1 slice) After cleaning this variable is renamed as MELONS 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
Peaches Plums Apricots (1 fruit). Seasonal. ERROR CODES CLEANED
Average use last year of Peaches Plums Apricots (1 fruit) Seasonal For seasonal fruits please estimate your average use when the fruit is in season After cleaning this variable is renamed as PEACHES 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
Strawberries Raspberries Kiwi Fruit medium serving Seasonal.
Average use last year of Strawberries Raspberries Kiwi Fruit (medium serving). Seasonal. For seasonal fruits please estimate your average use when the fruit is in season. After cleaning this variable is renamed as STRAWBERRIES which is then used by the FETA program for analysis.
Categorical
Strawberries; Raspberries; Kiwi Fruit (medium serving). Seasonal. ERROR CODES CLEANED
Average use last year of Strawberries Raspberries Kiwi Fruit (medium serving) Seasonal For seasonal fruits please estimate your average use when the fruit is in season After cleaning this variable is renamed as STRAWBERRIES 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
Tinned Fruit
Average use last year of Tinned Fruit. After cleaning this variable is renamed as TINNED_FRUIT which is then used by the FETA program for analysis.
Categorical
Tinned Fruit ERROR CODES CLEANED
Average use last year of Tinned Fruit After cleaning this variable is renamed as TINNED_FRUIT 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
Dried Fruit
Average use last year of Dried Fruit. After cleaning this variable is renamed as DRIED_FRUIT which is then used by the FETA program for analysis.
Categorical
Dried Fruit ERROR CODES CLEANED
Average use last year of Dried Fruit After cleaning this variable is renamed as DRIED_FRUIT 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
Apples 1 fruit
Average use last year of Apples (1 fruit). After cleaning this variable is renamed as APPLES which is then used by the FETA program for analysis.
Categorical
Pears 1 fruit
Average use last year of Pears (1 fruit). After cleaning this variable is renamed as PEARS which is then used by the FETA program for analysis.
Categorical
Grapefruit half
Average use last year of Grapefruit (half). After cleaning this variable is renamed as GRAPEFRUIT which is then used by the FETA program for analysis.
Categorical
Bananas 1 fruit
Average use last year of Bananas (1 fruit). After cleaning this variable is renamed as BANANAS which is then used by the FETA program for analysis.
Categorical
Grapes medium serving
Average use last year of Grapes (medium serving). After cleaning this variable is renamed as GRAPES which is then used by the FETA program for analysis.
Categorical
Melon 1 slice
Average use last year of Melon (1 slice). After cleaning this variable is renamed as MELONS which is then used by the FETA program for analysis.
Categorical
Peaches Plums Apricots 1 fruit Seasonal.
Average use last year of Peaches Plums Apricots (1 fruit). Seasonal. For seasonal fruits please estimate your average use when the fruit is in season. After cleaning this variable is renamed as PEACHES which is then used by the FETA program for analysis.
Categorical
Pure fruit juice 100% eg orange apple
Daily consumption of Pure fruit juice (100%) e.g. orange apple in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit squash or cordial
Daily consumption of Fruit squash or cordial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
French dressing
Daily consumption of French dressing in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Gallocatechin
Flavonoid variable (+)-Gallocatechin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_794_g
mg/day
Real
Vegetables - garlic
Daily consumption of Vegetables - garlic in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Bread and bread rolls granary/brown/softgrain type
Daily consumption of Bread and bread rolls granary/brown/softgrain type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Genistein
Flavonoid variable Genistein calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_711_g
mg/day
Real
Fruit - grapefruit fresh
Daily consumption of Fruit - grapefruit fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Glycitein
Flavonoid variable Glycitein calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_712_g
mg/day
Real
Fruit - grapes fresh
Daily consumption of Fruit - grapes fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - green salad type
Daily consumption of Vegetables - green salad type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - ham
Daily consumption of Meat - ham in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Margarine - hard or block
Daily consumption of Margarine - hard or block in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Hesperetin
Flavonoid variable Hesperetin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_759_g
mg/day
Real
Horlicks Ovaltine
Daily consumption of Horlicks Ovaltine in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Ice cream choc ices
Daily consumption of Ice cream choc ices in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Iodine intake
Average daily Iodine intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 61.
ug/day
Real
Average daily Iron intake
Average daily Iron intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 22.
mg/day
Real
Isorhamnetin
Flavonoid variable Isorhamnetin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_785_g
mg/day
Real
Jam marmalade honey
Daily consumption of Jam marmalade honey in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Kaempferol
Flavonoid variable Kaempferol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_786_g
mg/day
Real
Tomato ketchup
Daily consumption of Tomato ketchup in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - lamb - roast chops or stew
Daily consumption of Meat - lamb - roast chops or stew in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Lariciresinol
Flavonoid variable Lariciresinol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_805_g
mg/day
Real
Lasagne/moussaka
Daily consumption of Lasagne/moussaka in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - leeks
Daily consumption of Vegetables - leeks in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - liver liver pate liver sausage
Daily consumption of Meat - liver liver pate liver sausage in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Salad cream low cal/fat
Daily consumption of Salad cream low cal/fat in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Spread - low fat <60% fat
Daily consumption of Spread - low fat (<60% fat) in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Luteolin
Flavonoid variable Luteolin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_773_g
mg/day
Real
Average daily Magnesium intake
Average daily Magnesium intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 69.
mg/day
Real
Malvidin
Flavonoid variable Malvidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_742_g
mg/day
Real
Average daily Manganese intake
Average daily Manganese intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 70.
mg/day
Real
Marmite Bovril
Daily consumption of Marmite Bovril in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Matairesinol
Flavonoid variable Matairesinol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_801_g
mg/day
Real
Beef roast steak mince stew or casserole ERROR CODES CLEANED
Average use last year of Beef: roast steak mince stew or casserole After cleaning this variable is renamed as BEEF 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
Beefburgers ERROR CODES CLEANED
Average use last year of Beefburgers After cleaning this variable is renamed as BURGER 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
Pork roast chops stew or slices ERROR CODES CLEANED
Average use last year of Pork; roast chops stew or slices After cleaning this variable is renamed as PORK 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
Lamb roast chops or stew ERROR CODES CLEANED
Average use last year of Lamb; roast chops or stew After cleaning this variable is renamed as LAMB 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
Chicken or other poultry eg turkey ERROR CODES CLEANED
Average use last year of Chicken or other poultry eg turkey After cleaning this variable is renamed as CHICKEN 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
Bacon ERROR CODES CLEANED
Average use last year of Bacon After cleaning this variable is renamed as BACON 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
Ham ERROR CODES CLEANED
Average use last year of Ham After cleaning this variable is renamed as HAM 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
Corned Beef Spam luncheon meats ERROR CODES CLEANED
Average use last year of Corned Beef Spam luncheon meats After cleaning this variable is renamed as CORNED_BEEF 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
Sausages ERROR CODES CLEANED
Average use last year of Sausages After cleaning this variable is renamed as SAUSAGES 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
Savoury pies
Average use last year of Savoury pies eg meat pie; pork pie; pasties; steak & kidney ie; sausage rolls; Average use last year of Savoury pies eg. meat pie pork pie pasties steak and kidney pie sausage rolls. After cleaning this variable is renamed as SAVOURY_PIES which is then used by the FETA program for analys.
Categorical
Savoury pies eg meat pie pork pie pasties steak & kidney pie sausage rolls ERROR CODES CLEANED
Average use last year of Savoury pies eg meat pie; pork pie; pasties; steak & kidney ie; sausage rolls; Average use last year of Savoury pies eg meat pie pork pie pasties steak and kidney pie sausage rolls After cleaning this variable is renamed as SAVOURY_PIES which is then used by the FETA program for analys All raw data with error codes (> 1 answer) cleaned by averaging all answers ticked and rounding up to next whole number.
Categorical
Liver liver pate liver sausage
Average use last year of Liver liver pate liver sausage. After cleaning this variable is renamed as LIVER which is then used by the FETA program for analysis.
Categorical
Liver liver pate liver sausage ERROR CODES CLEANED
Average use last year of Liver liver pate liver sausage After cleaning this variable is renamed as LIVER 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
Fried fish in batter as in fish and chips
Average use last year of Fried fish in batter as in fish and chips. After cleaning this variable is renamed as FRIED_FISH which is then used by the FETA program for analysis.
Categorical
Fried fish in batter as in fish and chips ERROR CODES CLEANED
Average use last year of Fried fish in batter as in fish and chips After cleaning this variable is renamed as FRIED_FISH 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
Fish Fingers fish cakes
Average use last year of Fish Fingers fish cakes. After cleaning this variable is renamed as FISH_FINGERS which is then used by the FETA program for analysis.
Categorical
Fish Fingers fish cakes ERROR CODES CLEANED
Average use last year of Fish Fingers fish cakes After cleaning this variable is renamed as FISH_FINGERS 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
Other white fish fresh or frozen eg cod haddock plaice sole halibut
Average use last year of Other white fish fresh or frozen eg. cod haddock plaice sole halibut. After cleaning this variable is renamed as WHITE_FISH which is then used by the FETA program for analysis.
Categorical
Other white fish fresh or frozen eg cod haddock plaice sole halibut ERROR CODES CLEANED
Average use last year of Other white fish fresh or frozen eg cod haddock plaice sole halibut After cleaning this variable is renamed as WHITE_FISH 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
Oily fish fresh or canned eg mackerel kippers tuna salmon sardines herring
Average use last year of Oily fish fresh or canned eg. mackerel kippers tuna salmon sardines herring. After cleaning this variable is renamed as OILY_FISH which is then used by the FETA program for analysis.
Categorical
Oily fish fresh or canned eg mackerel kippers tuna salmon sardines herring ERROR CODES CLEANED
Average use last year of Oily fish fresh or canned eg mackerel kippers tuna salmon sardines herring After cleaning this variable is renamed as OILY_FISH 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
Shellfish eg crab prawns mussels
Average use last year of Shellfish eg. crab prawns mussels. After cleaning this variable is renamed as SHELLFISH which is then used by the FETA program for analysis.
Categorical
Shellfish eg crab prawns mussels ERROR CODES CLEANED
Average use last year of Shellfish eg crab prawns mussels After cleaning this variable is renamed as SHELLFISH 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
Fish Roe taramasalata
Average use last year of Fish Roe taramasalata. After cleaning this variable is renamed as ROE which is then used by the FETA program for analysis.
Categorical
Fish Roe taramasalata ERROR CODES CLEANED
Average use last year of Fish Roe taramasalata After cleaning this variable is renamed as ROE 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
Beef roast steak mince stew or casserole
Average use last year of Beef: roast steak mince stew or casserole. After cleaning this variable is renamed as BEEF which is then used by the FETA program for analysis.
Categorical
Beefburgers
Average use last year of Beefburgers. After cleaning this variable is renamed as BURGER which is then used by the FETA program for analysis.
Categorical
Pork roast chops stew or slices
Average use last year of Pork; roast chops stew or slices. After cleaning this variable is renamed as PORK which is then used by the FETA program for analysis.
Categorical
Lamb roast chops or stew
Average use last year of Lamb; roast chops or stew. After cleaning this variable is renamed as LAMB which is then used by the FETA program for analysis.
Categorical
Chicken or other poultry eg turkey
Average use last year of Chicken or other poultry eg turkey. After cleaning this variable is renamed as CHICKEN which is then used by the FETA program for analysis.
Categorical
Bacon
Average use last year of Bacon. After cleaning this variable is renamed as BACON which is then used by the FETA program for analysis.
Categorical
Ham
Average use last year of Ham. After cleaning this variable is renamed as HAM which is then used by the FETA program for analysis.
Categorical
Corned Beef Spam luncheon meats
Average use last year of Corned Beef Spam luncheon meats. After cleaning this variable is renamed as CORNED_BEEF which is then used by the FETA program for analysis.
Categorical
Sausages
Average use last year of Sausages. After cleaning this variable is renamed as SAUSAGES which is then used by the FETA program for analysis.
Categorical
Average daily Meat and meat products intake from all FFQ foods consumed in g
Average daily meat and meat product intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 906.
g/day
Real
Fruit - melon
Daily consumption of Fruit - melon in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Milk
Daily consumption of milk in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Milk puddings eg rice custard trifle
Daily consumption of Milk puddings e.g. rice custard trifle in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Milk_and_milk_products intake from all FFQ foods consumed in g
Average daily milk and milk products intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 907.
g/day
Real
The list of milk types does not contain recent additions to the market such as rice/oat/coconut mil
Variable derived by study staff from raw data for A3aMilk and A3bOtherMilk. There is a non-specific milk code (a2002) available if a combination of milks is given or the text is uninformative. Currently the program only deals with one type of milk.
Categorical
1-none 2-Quarter of a pint 3-Half a pint 4-Three quarters of a pint 5-one pint 6-More than on pint -
Variable created by reviewing error coded data from raw FFQ data for A4MilkAmount.
Categorical
missing ticks
misticks. No. of missing ticks in FFQ (99 means >=10 missing ticks). This variable was created to be used to filter out those people with CAF? (precursor to FETA) results who shouldn't have (since CAF? Provided data on people even if they had > 10 missing ticks). For R6 and later this variable is not needed since FETA automatically ignores people with >10 missing ticks.
Integer
Average daily Monounsaturated_fatty_acids_MUFA_total intake
Average daily Monounsaturated_fatty_acids_MUFA_total intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 601.
g/day
Real
Vegetables - mushrooms
Daily consumption of Vegetables - mushrooms in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Myricetin
Flavonoid variable Myricetin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_788_g
mg/day
Real
Naringenin
Flavonoid variable Naringenin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_762_g
mg/day
Real
Average daily Niacin intake
Average daily Niacin intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 74.
mg/day
Real
Average daily Nitrogen intake
Average daily Nitrogen intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 100.
g/day
Real
Average daily Non-alcoholic beverages intake from all FFQ foods consumed in g
Average daily non alcoholic beverages intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 908
g/day
Real
Peanuts or other nuts
Daily consumption of Peanuts or other nuts in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Nuts and seeds intake from all FFQ foods consumed in g
Average daily nuts and seeds intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 909
g/day
Real
Vegetables - onions
Daily consumption of Vegetables - onions in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - oranges fresh
Daily consumption of Fruit - oranges fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Other salad dressing
Daily consumption of Other salad dressing in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Margarine soft - incl olive based & dairy spreads
Daily consumption of Margarine soft - incl olive based & dairy spreads in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Pasta and noodles excl wholegrain types
Daily consumption of Pasta and noodles excl wholegrain types in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - peaches/plums/apricots
Daily consumption of Fruit - peaches/plums/apricots in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - pears fresh
Daily consumption of Fruit - pears fresh in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - peas
Daily consumption of Vegetables - peas in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Peanut butter
Daily consumption of Peanut butter in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Pelargonidin
Flavonoid variable Pelargonidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_743_g
mg/day
Real
Peonidin
Flavonoid variable Peonidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_745_g
mg/day
Real
Petunidin
Flavonoid variable Petunidin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_746_g
mg/day
Real
Average daily Phosphorus intake
Average daily Phosphorus intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 77.
mg/day
Real
Pickles chutney
Daily consumption of Pickles chutney in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Pinoresinol
Flavonoid variable Pinoresinol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_806_g
mg/day
Real
Pizza
Daily consumption of Pizza in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Margarine - polyunsaturated
Daily consumption of Margarine - polyunsaturated in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Polyunsaturated_fatty_acids_PUFA_total intake
Average daily Polyunsaturated_fatty_acids_PUFA_total intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 603.
g/day
Real
Meat - pork - roast chops stew or slices
Daily consumption of Meat - pork - roast chops stew or slices in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Breakfast cereals - porridge/porridge types
Daily consumption of Breakfast cereals - porridge/porridge types in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Potassium intake
Average daily Potassium intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 63.
mg/day
Real
Average daily Potatoes intake
Average daily Potato intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 910
g/day
Real
Boiled; mashed; instant or jacket
Average use last year of a medium serving of Boiled mashed instant or jacket. After cleaning this variable is renamed as BOILED_POTATOES which is then used by the FETA program for analysis.
Categorical
Boiled; mashed; instant or jacket ERROR CODES CLEANED
Average use last year of a medium serving of Boiled mashed instant or jacket After cleaning this variable is renamed as BOILED_POTATOES 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
Chips ERROR CODES CLEANED
Average use last year of a medium serving of Chips After cleaning this variable is renamed as CHIPS 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
Roast potatoes ERROR CODES CLEANED
Average use last year of a medium serving of Roast potatoes After cleaning this variable is renamed as ROAST_POTATOES 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
Potato Salad ERROR CODES CLEANED
Average use last year of a medium serving of Potato Salad After cleaning this variable is renamed as POTATO_SALAD 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
White Rice ERROR CODES CLEANED
Average use last year of a medium serving of White Rice After cleaning this variable is renamed as WHITE_RICE 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
Brown Rice ERROR CODES CLEANED
Average use last year of a medium serving of Brown Rice After cleaning this variable is renamed as BROWN_RICE 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
White or green pasta eg spaghetti macaroni noodles ERROR CODES CLEANED
Average use last year of a medium serving of White or green pasta eg spaghetti macaroni noodles After cleaning this variable is renamed as WHITE_PASTA 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
Wholemeal Pasta ERROR CODES CLEANED
Average use last year of a medium serving of Wholemeal Pasta After cleaning this variable is renamed as WHOLEMEAL_PASTA 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
Lasagne moussaka ERROR CODES CLEANED
Average use last year of a medium serving of Lasagne moussaka After cleaning this variable is renamed as LASAGNE 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
Pizza
Average use last year of a medium serving of Pizza. After cleaning this variable is renamed as PIZZA which is then used by the FETA program for analysis.
Categorical
Pizza ERROR CODES CLEANED
Average use last year of a medium serving of Pizza After cleaning this variable is renamed as PIZZA 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
Chips
Average use last year of a medium serving of Chips. After cleaning this variable is renamed as CHIPS which is then used by the FETA program for analysis.
Categorical
Roast potatoes
Average use last year of a medium serving of Roast potatoes. After cleaning this variable is renamed as ROAST_POTATOES which is then used by the FETA program for analysis.
Categorical
Potato Salad
Average use last year of a medium serving of Potato Salad. After cleaning this variable is renamed as POTATO_SALAD which is then used by the FETA program for analysis.
Categorical
White Rice
Average use last year of a medium serving of White Rice. After cleaning this variable is renamed as WHITE_RICE which is then used by the FETA program for analysis.
Categorical
Brown Rice
Average use last year of a medium serving of Brown Rice. After cleaning this variable is renamed as BROWN_RICE which is then used by the FETA program for analysis.
Categorical
White or green pasta eg spaghetti macaroni noodles
Average use last year of a medium serving of White or green pasta eg. spaghetti macaroni noodles. After cleaning this variable is renamed as WHITE_PASTA which is then used by the FETA program for analysis.
Categorical
Wholemeal Pasta
Average use last year of a medium serving of Wholemeal Pasta. After cleaning this variable is renamed as WHOLEMEAL_PASTA which is then used by the FETA program for analysis.
Categorical
Lasagne moussaka
Average use last year of a medium serving of Lasagne moussaka. After cleaning this variable is renamed as LASAGNE which is then used by the FETA program for analysis.
Categorical
Potatoes chipped
Daily consumption of Potatoes chipped in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Potatoes roast
Daily consumption of Potatoes roast in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Potato salad
Daily consumption of Potato salad in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Potatoes boiled mashed instant or jacket
Daily consumption of Potatoes boiled mashed instant or jacket in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - poultry
Daily consumption of Meat - poultry in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Proanthocyanidin 4-6mers
Flavonoid variable Proanthocyanidin 4-6mers calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_736_g
mg/day
Real
Proanthocyanidin 7-10mers
Flavonoid variable Proanthocyanidin 7-10mers calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_737_g
mg/day
Real
Proanthocyanidin dimers
Flavonoid variable Proanthocyanidin dimers calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_734_g
mg/day
Real
Proanthocyanidin polymers >10mers
Flavonoid variable Proanthocyanidin polymers (>10mers) calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_738_g
mg/day
Real
Proanthocyanidin trimers
Flavonoid variable Proanthocyanidin trimers calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_735_g
mg/day
Real
Average daily Protein intake
Average daily Protein intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 83.
g/day
Real
Quercetin
Flavonoid variable Quercetin calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_789_g
mg/day
Real
Quiche
Daily consumption of Quiche in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Rice excluding wholegrain types
Daily consumption of Rice excluding wholegrain types in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Salad cream/mayonnaise
Daily consumption of Salad cream/mayonnaise in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Saturated_fatty_acids_SFA_total intake
Average daily Saturated fatty acids (SFA - total) intake from all FFQ foods consumed in g. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 607.
g/day
Real
Sauces savoury including white sauce cheese sauce gravy
Daily consumption of Sauces savoury including white sauce cheese sauce gravy in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat - sausages incl poulty type
Daily consumption of Meat - sausages incl poulty type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Meat and fish - savoury pies
Daily consumption of Meat and fish - savoury pies in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Secoisolariciresinol
Flavonoid variable Secoisolariciresinol calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_800_g
mg/day
Real
Average daily Selenium intake
Average daily Selenium intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 92.
ug/day
Real
Average daily Sodium intake
Average daily Sodium intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 72.
mg/day
Real
Soup meat
Daily consumption of Soup meat in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetable Soups (bowl) ERROR CODES CLEANED
Average use last year of Vegetable Soups (bowl) After cleaning this variable is renamed as VEGETABLE_SOUP 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
Meat Soups (bowl) ERROR CODES CLEANED
Average use last year of Meat Soups (bowl) After cleaning this variable is renamed as MEAT_SOUP 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
Sauces eg white sauce(tablespoon) ERROR CODES CLEANED
Average use last year of Sauces eg white sauce cheese sauce gravy (tablespoon) After cleaning this variable is renamed as SAUCES 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
Tomato Ketchup (tablespoon) ERROR CODES CLEANED
Average use last year of Tomato Ketchup (tablespoon) After cleaning this variable is renamed as KETCHUP 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
Pickles chutney (tablespoon) ERROR CODES CLEANED
Average use last year of Pickles chutney (tablespoon) After cleaning this variable is renamed as PICKLES 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
Marmite Bovril (teaspoon) ERROR CODES CLEANED
Average use last year of Marmite Bovril (teaspoon) After cleaning this variable is renamed as MARMITE 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
Jam Marmalade honey (teaspoon) ERROR CODES CLEANED
Average use last year of Jam Marmalade honey (teaspoon) After cleaning this variable is renamed as JAM 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
Peanut Butter (teaspoon) ERROR CODES CLEANED
Average use last year of Peanut butter (teaspoon) After cleaning this variable is renamed as PEANUT_BUTTER 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
Vegetable Soups bowl
Average use last year of Vegetable Soups (bowl). After cleaning this variable is renamed as VEGETABLE_SOUP which is then used by the FETA program for analysis.
Categorical
Meat Soups bowl
Average use last year of Meat Soups (bowl). After cleaning this variable is renamed as MEAT_SOUP which is then used by the FETA program for analysis.
Categorical
Sauces eg white sauce cheese sauce gravy tablespoon
Average use last year of Sauces eg. white sauce cheese sauce gravy (tablespoon). After cleaning this variable is renamed as SAUCES which is then used by the FETA program for analysis.
Categorical
Tomato Ketchup tablespoon
Average use last year of Tomato Ketchup (tablespoon). After cleaning this variable is renamed as KETCHUP which is then used by the FETA program for analysis.
Categorical
Pickles chutney tablespoon
Average use last year of Pickles chutney (tablespoon). After cleaning this variable is renamed as PICKLES which is then used by the FETA program for analysis.
Categorical
Marmite Bovril teaspoon
Average use last year of Marmite Bovril (teaspoon). After cleaning this variable is renamed as MARMITE which is then used by the FETA program for analysis.
Categorical
Jam Marmalade honey teaspoon
Average use last year of Jam Marmalade honey (teaspoon). After cleaning this variable is renamed as JAM which is then used by the FETA program for analysis.
Categorical
Peanut Butter teaspoon
Average use last year of Peanut butter (teaspoon). After cleaning this variable is renamed as PEANUT_BUTTER which is then used by the FETA program for analysis.
Categorical
Average daily Soups & sauces intake from all FFQ foods consumed in g
Average daily soups and sauces intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 911
g/day
Real
Soup vegetable
Daily consumption of Soup vegetable in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetable dishes - soya foods
Daily consumption of Vegetable dishes - soya foods in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - spinach
Daily consumption of Vegetables - spinach in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Alcoholic beverages - spirits
Daily consumption of Alcoholic beverages - spirits in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Sponge pudding commercial
Daily consumption of Sponge pudding commercial in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Sponge pudding homemade
Daily consumption of Sponge pudding homemade in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Fruit - strawberries/raspberries/kiwi fruit
Daily consumption of Fruit - strawberries/raspberries/kiwi fruit in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Sugar
Daily consumption of Sugar in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Sugars; preserves and snacks intake from all FFQ foods consumed in g
Average daily sugars preserves and snacks intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 912
g/day
Real
Sweets toffees mints
Daily consumption of Sweets toffees mints in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Sweet biscuits chocolate eg digestive (one) ERROR CODES CLEANED
Average use last year (medium serving) of Sweet biscuits chocolate eg digestive (one) After cleaning this variable is renamed as CHOCOLATE_BISCUIT 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
Sweet biscuits plain eg Nice ginger (one) ERROR CODES CLEANED
Average use last year (medium serving) of Sweet biscuits plain eg Nice ginger (one) After cleaning this variable is renamed as PLAIN_BISCUIT 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
Cakes eg fruit sponge home baked ERROR CODES CLEANED
Average use last year (medium serving) of Cakes eg fruit sponge home baked After cleaning this variable is renamed as HOMEBAKED_CAKE 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
Cakes eg fruit sponge ready made ERROR CODES CLEANED
Average use last year (medium serving) of Cakes eg fruit sponge ready made After cleaning this variable is renamed as READYMADE_CAKE 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
Buns pastries eg scones flapjacks home baked ERROR CODES CLEANED
Average use last year (medium serving) of Buns pastries eg scones flapjacks home baked After cleaning this variable is renamed as HOMEBAKED_BUNS 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
Buns pastries eg scones flapjacks ready made ERROR CODES CLEANED
Average use last year (medium serving) of Buns pastries eg scones flapjacks ready made After cleaning this variable is renamed as READYMADE_BUNS 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 pies tarts crumbles home baked ERROR CODES CLEANED
Average use last year (medium serving) of Fruit pies tarts crumbles home baked After cleaning this variable is renamed as HOMEBAKED_FRUIT_PIES 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 pies tarts crumbles ready made ERROR CODES CLEANED
Average use last year (medium serving) of Fruit pies tarts crumbles ready made After cleaning this variable is renamed as READYMADE_FRUIT_PIES 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
Sponge puddings home baked ERROR CODES CLEANED
Average use last year (medium serving) of Sponge puddings home baked After cleaning this variable is renamed as HOMEBAKED_SPONGE 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
Sponge puddings ready made
Average use last year (medium serving) of Sponge puddings ready made. After cleaning this variable is renamed as READYMADE_SPONGE which is then used by the FETA program for analysis.
Categorical
Sponge puddings ready made ERROR CODES CLEANED
Average use last year (medium serving) of Sponge puddings ready made After cleaning this variable is renamed as READYMADE_SPONGE 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
Milk puddings eg rice custard trifle
Average use last year (medium serving) of Milk puddings eg. rice custard trifle. After cleaning this variable is renamed as MILK_PUDDINGS which is then used by the FETA program for analysis.
Categorical
Milk puddings eg rice custard trifle ERROR CODES CLEANED
Average use last year (medium serving) of Milk puddings eg rice custard trifle After cleaning this variable is renamed as MILK_PUDDINGS 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
Ice cream choc ices
Average use last year (medium serving) of Ice cream choc ices. After cleaning this variable is renamed as ICE_CREAM which is then used by the FETA program for analysis.
Categorical
Ice cream choc ices ERROR CODES CLEANED
Average use last year (medium serving) of Ice cream choc ices After cleaning this variable is renamed as ICE_CREAM 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
Chocolates single or squares
Average use last year (medium serving) of Chocolates single or squares. After cleaning this variable is renamed as CHOCOLATES which is then used by the FETA program for analysis.
Categorical
Chocolates single or squares ERROR CODES CLEANED
Average use last year (medium serving) of Chocolates single or squares After cleaning this variable is renamed as CHOCOLATES 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
Chocolate snack bars eg Mars Crunchie
Average use last year (medium serving) of Chocolate snack bars eg. Mars Crunchie. After cleaning this variable is renamed as CHOCOLATE_BARS which is then used by the FETA program for analysis.
Categorical
Chocolate snack bars eg Mars Crunchie ERROR CODES CLEANED
Average use last year (medium serving) of Chocolate snack bars eg Mars Crunchie After cleaning this variable is renamed as CHOCOLATE_BARS 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
Sweets toffees mints
Average use last year (medium serving) of Sweets toffees mints. After cleaning this variable is renamed as SWEETS which is then used by the FETA program for analysis.
Categorical
Sweets toffees mints ERROR CODES CLEANED
Average use last year (medium serving) of Sweets toffees mints After cleaning this variable is renamed as SWEETS 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
Sugar added to tea coffee cereal teaspoon
Average use last year (medium serving) of Sugar added to tea coffee cereal (teaspoon). After cleaning this variable is renamed as SUGAR which is then used by the FETA program for analysis.
Categorical
Sugar added to tea coffee cereal (teaspoon) ERROR CODES CLEANED
Average use last year (medium serving) of Sugar added to tea coffee cereal (teaspoon) After cleaning this variable is renamed as SUGAR 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
Crisps or other packet snacks eg Wotsits
Average use last year (medium serving) of Crisps or other packet snacks eg Wotsits. After cleaning this variable is renamed as CRISPS which is then used by the FETA program for analysis.
Categorical
Crisps or other packet snacks eg Wotsits ERROR CODES CLEANED
Average use last year (medium serving) of Crisps or other packet snacks eg Wotsits After cleaning this variable is renamed as CRISPS 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
Peanuts or other nuts
Average use last year (medium serving) of Peanuts or other nuts. After cleaning this variable is renamed as NUTS which is then used by the FETA program for analysis.
Categorical
Peanuts or other nuts ERROR CODES CLEANED
Average use last year (medium serving) of Peanuts or other nuts After cleaning this variable is renamed as NUTS 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
Sweet biscuits; chocolate ; eg digestive one
Average use last year (medium serving) of Sweet biscuits chocolate eg. digestive (one). After cleaning this variable is renamed as CHOCOLATE_BISCUIT which is then used by the FETA program for analysis.
Categorical
Sweet biscuits; plain; eg Nice; ginger one
Average use last year (medium serving) of Sweet biscuits plain eg. Nice ginger (one). After cleaning this variable is renamed as PLAIN_BISCUIT which is then used by the FETA program for analysis.
Categorical
Cakes eg fruit; sponge; home baked
Average use last year (medium serving) of Cakes eg. fruit sponge home baked. After cleaning this variable is renamed as HOMEBAKED_CAKE which is then used by the FETA program for analysis.
Categorical
Cakes eg fruit; sponge; ready made
Average use last year (medium serving) of Cakes eg. fruit sponge ready made. After cleaning this variable is renamed as READYMADE_CAKE which is then used by the FETA program for analysis.
Categorical
Buns pastries eg scones flapjacks home baked
.Average use last year (medium serving) of Buns pastries eg. scones flapjacks home baked. After cleaning this variable is renamed as HOMEBAKED_BUNS which is then used by the FETA program for analysis.
Categorical
Buns pastries eg scones flapjacks ready made
Average use last year (medium serving) of Buns pastries eg. scones flapjacks ready made. After cleaning this variable is renamed as READYMADE_BUNS which is then used by the FETA program for analysis.
Categorical
Fruit pies tarts crumbles home baked
Average use last year (medium serving) of Fruit pies tarts crumbles home baked. After cleaning this variable is renamed as HOMEBAKED_FRUIT_PIES which is then used by the FETA program for analysis.
Categorical
Fruit pies tarts crumbles ready made
Average use last year (medium serving) of Fruit pies tarts crumbles ready made. After cleaning this variable is renamed as READYMADE_FRUIT_PIES which is then used by the FETA program for analysis.
Categorical
Sponge puddings home baked
Average use last year (medium serving) of Sponge puddings home baked. After cleaning this variable is renamed as HOMEBAKED_SPONGE which is then used by the FETA program for analysis.
Categorical
Sweet biscuits chocolate eg digestive
Daily consumption of Sweet biscuits chocolate e.g. digestive in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Sweet biscuits plain eg Nice ginger
Daily consumption of Sweet biscuits plain e.g. Nice ginger in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - sweet peppers
Daily consumption of Vegetables - sweet peppers in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - sweetcorn
Daily consumption of Vegetables - sweetcorn in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Tea
Daily consumption of Tea in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Theaflavin-3'-gallate
Flavonoid variable Theaflavin-3'-gallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_792_g
mg/day
Real
Theaflavin-3 3'-digallate
Flavonoid variable Theaflavin-3 3'-digallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_791_g
mg/day
Real
Theaflavin-3-gallate
Flavonoid variable Theaflavin-3-gallate calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_793_g
mg/day
Real
Theaflavins
Flavonoid variable Theaflavins calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_755_g
mg/day
Real
Thearubigins
Flavonoid variable Thearubigins calculated from FFQ data by FETA 2.53 software (option 4 - by food and ffq line) in mg/day. Also known as flav_756_g
mg/day
Real
Fruit - tinned fruit
Daily consumption of Fruit - tinned fruit in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
tert_MedDietScore
tertile based Mediterranean Diet Score range 0-18). Assigned scores for nine Mediterranean diet components based on sex-specific tertiles of intake. For five of the favourable components (vegetables; legumes; fruit and nuts; cereals; fish) a score of 2 = highest;
Real
Vegetables - tomatoes
Daily consumption of Vegetables - tomatoes in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Total_folate intake
Average daily Total folate intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 55.
ug/day
Real
Average daily Vegetables intake from all FFQ foods consumed in g
Average daily vegetables intake from all FFQ foods consumed. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_FoodGroupCode 913
g/day
Real
Carrots ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Carrots After cleaning this variable is renamed as CARROTS 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
Spinach ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Spinach After cleaning this variable is renamed as SPINACH 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
Broccoli spring greens kale ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Broccoli spring greens kale After cleaning this variable is renamed as BROCCOLI 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
Brussels sprouts ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Brussels sprouts After cleaning this variable is renamed as SPROUTS 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
Cabbage ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Cabbage After cleaning this variable is renamed as CABBAGE 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
Peas ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Peas After cleaning this variable is renamed as PEAS 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
Green beans broad beans runner beans ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Green beans broad beans runner beans After cleaning this variable is renamed as GREEN_BEANS 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
Marrow courgettes ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Marrow courgettes After cleaning this variable is renamed as MARROW 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
Cauliflower ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Cauliflower After cleaning this variable is renamed as CAULIFLOWER 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
Parsnips turnips Swedes
Average use last year of medium serving of fresh frozen or tinned Parsnips turnips Swedes. After cleaning this variable is renamed as PARSNIPS which is then used by the FETA program for analysis.
Categorical
Parsnips turnips Swedes ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Parsnips turnips Swedes After cleaning this variable is renamed as PARSNIPS 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
Leeks
Average use last year of medium serving of fresh frozen or tinned Leeks. After cleaning this variable is renamed as LEEKS which is then used by the FETA program for analysis.
Categorical
Leeks ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Leeks After cleaning this variable is renamed as LEEKS 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
Onions
Average use last year of medium serving of fresh frozen or tinned Onions. After cleaning this variable is renamed as ONIONS which is then used by the FETA program for analysis.
Categorical
Onions ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Onions After cleaning this variable is renamed as ONIONS 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
Garlic
Average use last year of medium serving of fresh frozen or tinned Garlic. After cleaning this variable is renamed as GARLIC which is then used by the FETA program for analysis.
Categorical
Garlic ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Garlic After cleaning this variable is renamed as GARLIC 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
Mushrooms
Average use last year of medium serving of fresh frozen or tinned Mushrooms. After cleaning this variable is renamed as MUSHROOMS which is then used by the FETA program for analysis.
Categorical
Mushrooms ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Mushrooms After cleaning this variable is renamed as MUSHROOMS 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
Sweet peppers
Average use last year of medium serving of fresh frozen or tinned Sweet peppers. After cleaning this variable is renamed as PEPPERS which is then used by the FETA program for analysis.
Categorical
Sweet peppers ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Sweet peppers After cleaning this variable is renamed as PEPPERS 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
Beansprouts
Average use last year of medium serving of fresh frozen or tinned Beansprouts. After cleaning this variable is renamed as BEANSPROUTS which is then used by the FETA program for analysis.
Categorical
Beansprouts ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Beansprouts After cleaning this variable is renamed as BEANSPROUTS 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
Green salad lettuce cucumber celery
Average use last year of medium serving of fresh frozen or tinned Green salad lettuce cucumber celery. After cleaning this variable is renamed as GREEN_SALAD which is then used by the FETA program for analysis.
Categorical
Green salad lettuce cucumber celery ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Green salad lettuce cucumber celery After cleaning this variable is renamed as GREEN_SALAD 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
Watercress
Average use last year of medium serving of fresh frozen or tinned Watercress. After cleaning this variable is renamed as WATERCRESS which is then used by the FETA program for analysis.
Categorical
Watercress ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Watercress After cleaning this variable is renamed as WATERCRESS 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
Tomatoes
Average use last year of medium serving of fresh frozen or tinned Tomatoes. After cleaning this variable is renamed as TOMATOES which is then used by the FETA program for analysis.
Categorical
Tomatoes ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Tomatoes After cleaning this variable is renamed as TOMATOES 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
Carrots
Average use last year of medium serving of fresh frozen or tinned Carrots. After cleaning this variable is renamed as CARROTS which is then used by the FETA program for analysis.
Categorical
Sweetcorn
Average use last year of medium serving of fresh frozen or tinned Sweetcorn. After cleaning this variable is renamed as SWEETCORN which is then used by the FETA program for analysis.
Categorical
Sweetcorn ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Sweetcorn After cleaning this variable is renamed as SWEETCORN 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
Beetroot
Average use last year of medium serving of fresh frozen or tinned Beetroot. After cleaning this variable is renamed as BEETROOT which is then used by the FETA program for analysis.
Categorical
Beetroot ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Beetroot After cleaning this variable is renamed as BEETROOT 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
Coleslaw
Average use last year of medium serving of fresh frozen or tinned Coleslaw. After cleaning this variable is renamed as COLESLAW which is then used by the FETA program for analysis.
Categorical
Coleslaw ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Coleslaw After cleaning this variable is renamed as COLESLAW 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
Avocado
Average use last year of medium serving of fresh frozen or tinned Avocado. After cleaning this variable is renamed as AVOCADO which is then used by the FETA program for analysis.
Categorical
Avocado ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Avocado After cleaning this variable is renamed as AVOCADO 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
Baked beans
Average use last year of medium serving of fresh frozen or tinned Baked beans. After cleaning this variable is renamed as BEANS which is then used by the FETA program for analysis.
Categorical
Baked beans ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Baked beans After cleaning this variable is renamed as BEANS 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
Dried lentils beans peas ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Dried lentils beans peas After cleaning this variable is renamed as LENTILS 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
Dried lentils beans peas
Average use last year of medium serving of fresh frozen or tinned Dried lentils beans peas. After cleaning this variable is renamed as LENTILS which is then used by the FETA program for analysis.
Categorical
Tofu soya meat TVP Vegeburger
Average use last year of medium serving of fresh frozen or tinned Tofu soya meat TVP Vegeburger. After cleaning this variable is renamed as TOFU which is then used by the FETA program for analysis.
Categorical
Tofu; soya meat; TVP; Vegeburger ERROR CODES CLEANED
Average use last year of medium serving of fresh frozen or tinned Tofu soya meat TVP Vegeburger After cleaning this variable is renamed as TOFU 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
Spinach
Average use last year of medium serving of fresh frozen or tinned Spinach. After cleaning this variable is renamed as SPINACH which is then used by the FETA program for analysis.
Categorical
Broccoli; spring greens; kale
Average use last year of medium serving of fresh frozen or tinned Broccoli spring greens kale. After cleaning this variable is renamed as BROCCOLI which is then used by the FETA program for analysis.
Categorical
Brussels sprouts
Average use last year of medium serving of fresh frozen or tinned Brussels sprouts. After cleaning this variable is renamed as SPROUTS which is then used by the FETA program for analysis.
Categorical
Cabbage
Average use last year of medium serving of fresh frozen or tinned Cabbage. After cleaning this variable is renamed as CABBAGE which is then used by the FETA program for analysis.
Categorical
Peas
Average use last year of medium serving of fresh frozen or tinned Peas. After cleaning this variable is renamed as PEAS which is then used by the FETA program for analysis.
Categorical
Green beans; broad beans; runner beans
Average use last year of medium serving of fresh frozen or tinned Green beans broad beans runner beans. After cleaning this variable is renamed as GREEN_BEANS which is then used by the FETA program for analysis.
Categorical
Marrow courgettes
Average use last year of medium serving of fresh frozen or tinned Marrow courgettes. After cleaning this variable is renamed as MARROW which is then used by the FETA program for analysis.
Categorical
Cauliflower
Average use last year of medium serving of fresh frozen or tinned Cauliflower. After cleaning this variable is renamed as CAULIFLOWER which is then used by the FETA program for analysis.
Categorical
Average daily VitaminA_retinol intake
Average daily Vitamin A - retinol intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 86.
ug/day
Real
Average daily VitaminA_retinol_equivalents intake
Average daily Vitamin A - retinol equivalents intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 88.
ug/day
Real
Average daily VitaminB12_cobalamin intake
Average daily Vitamin B12 - cobalamin intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 103.
ug/day
Real
Average daily VitaminB1_thiamin intake
Average daily Thiamin in mg/day intake from all FFQ foods consumed in g. Average daily nutrient intake from all FFQ foods consumed . Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 99.
g/day
Real
Average daily VitaminB2_riboflavin intake
Average daily Vitamin B2 - riboflavin intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 89.
mg/day
Real
Average daily VitaminB6_pyridoxine intake
Average daily Vitamin B6 - pyridoxine intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 104.
mg/day
Real
Average daily VitaminC_ascorbic_acid intake
Average daily Vitamin C - ascorbic acid intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 10
mg/day
Real
Average daily VitaminD_ergocalciferol intake
Average daily Vitamin D - ergocalciferol intake from all FFQ foods consumed in mcg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 106.
ug/day
Real
Average daily VitaminE_alpha_tocopherol_equivalents intake
Average daily Vitamin E - alpha tocopherol equivalents intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_
mg/day
Real
Spread - very low fat <30% fat
Daily consumption of Spread - very low fat (<30% fat) in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - watercress
Daily consumption of Vegetables - watercress in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Bread and bread rolls wholegrain type
Daily consumption of Bread and bread rolls wholegrain type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Alcoholic beverages - wine
Daily consumption of Alcoholic beverages - wine in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Vegetables - parsnips/turnips/swedes
Daily consumption of Vegetables - parsnips/turnips/swedes in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Wholemeal pasta/spaghetti/tagliatelle foods
Daily consumption of Wholemeal pasta/spaghetti/tagliatelle foods in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Bread and bread rolls white type
Daily consumption of Bread and bread rolls white type in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Yogurt full fat/Greek
Daily consumption of Yogurt full fat/Greek in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Yogurt low fat/ fromage frais
Daily consumption of Yogurt low fat/ fromage frais in grams. This was calculated with a script using FETA 2.53 output 3 data for this variable.
g/day
Real
Average daily Zinc intake
Average daily Zinc intake from all FFQ foods consumed in mg. Data derived by FETA 2.53 software (option 1 - in wide format) from FFQ data also known as FETA_NutrientCode 109.
mg/day
Real