SENECA_NUTR_VEG_G

CONTACT_ROUND 1

NUTR_VEG_G is based on SENECA variable VEGETAB9 (intake of vegetables and vegetable products (g/day))

CONTACT_ROUND 2

NUTR_VEG_G is the sum of SENECA variables DH23A (leaves, stalks, cabb., leeks, etc), DH23B (roots, tubers exc. potat., fungi), DH23C (potatoes), and DH23D (fruiting veg. exc. gr. beans, peas)

CONTACT_ROUND 3

Not available

ROTTERDAM_NUTR_VEG_G

VEGETABLES (excludes legumes & white potatoes- all preparations)       Endive boiled / Cauliflower boiled / Kale curly boiled / Mushrooms boiled / Cabbage green boiled / Cucumber raw / Cucumber boiled / Leek boiled / Rhubarb raw / Cabbage red boiled / Cabbage Savoy boiled / Lettuce raw / Spinach boiled / Cabbage oxhair boiled / Brussel sprouts boiled / Tomatoes raw / Onions boiled / Chicory raw / Chicory boiled / Cabbage white cooked / Carrots raw / Carrots boiled / Cabbage sauerkraut cooked / Vegetables mixture raw / Gherkins sweet pickled / Liver chicken raw / Black pudding boiled / Sweet pepper red boiled without salt / Broccoli boiled / Beetroot boiled

NSWEDEN_NUTR_VEG_G

if antfrag=84 then NUTR_VEG_G=gramlong33+gramlong34+gramlong35+gramlong36+gramlong37+gramlong38;

if antfrag ne 84 then NUTR_VEG_G=gramshort29+gramshort27+gramshort28;

antfrag and gramshort/gramlong, see variable list

NIH_AARP_NUTR_VEG_G

green beans, broccoli, carrots, cauliflower/brussels sprouts, coleslaw, corn, lettuce, peas, peppers, fried potatoes, potato salad, sweet potatoes, white potatoes, spinach, tomatoes, tomato salsa, tomato sauce, tomato juice, vegetable medley, vegetable soup, dried beans, 30% of bean soups, other vegetables

NHS_NUTR_VEG_G

vegetables are servings per day not grams, but can easily be converted.

tomatoes, lettuce, celery - raw nutrient values
carrots, spinach, onions - these are listed separately on the dietary questionnaire for raw and cooked consumption
all other vegetables are cooked nutrient values

MORGAM_PRIME_Centres_NUTR_VEG_G

Dietary information on frequency of vegetable intake was obtained for two categories of vegetables (‘raw vegetables’ and ‘baked vegetables’). Subjects were asked to indicate their usual frequency of consumption of a standard portion of vegetables for the last weeks using the following scale: more than once per d (number per d); daily; three to four times per week; once per week; twice per month; once per month; never. Frequency of total ‘vegetables’ intake scores were calculated as the sum of number of servings per d of raw vegetables and baked vegetables. Potatoes were not included in the dietary scores.

Vegetable consumption in g per day may be quite crude in relation to the other cohorts which may be able to code these variables more accurately. For example, PRIME Belfast has the (standard portion) amount consumed per day for vegetables and can calculate the approx grams per day (80g = 1 standard portion) if needed.

ESTHER_NUTR_VEG_G

Not calculated in gram/day. First, two categorical variable for the frequency of consumption of salad (nutr_salat) and boiled vegetables (nutr_veg) was coded. A categorical variable nutr_veg_g was coded as follows from these:
0=never; 1=less than once a week; 2=once a week; 3=several times a week; 4=once a day; 5=several times a day; 9=missing.

if L49geme = 1 then nutr_veg = 5;
if L49geme = 2 then nutr_veg = 4;
if L49geme = 3 then nutr_veg = 3;
if L49geme = 4 then nutr_veg = 2;
if L49geme = 5 then nutr_veg = 1;
if L49geme = 6 then nutr_veg = 0;
if L49geme = . then nutr_veg = 9;
if nutr_veg = . then nutr_veg = 9;

if L49sal = 1 then nutr_salat = 5;
if L49sal = 2 then nutr_salat = 4;
if L49sal = 3 then nutr_salat = 3;
if L49sal = 4 then nutr_salat = 2;
if L49sal = 5 then nutr_salat = 1;
if L49sal = 6 then nutr_salat = 0;
if L49sal = . then nutr_salat = 9;
if nutr_salat = . then nutr_salat = 9;

if nutr_salat = 9 and nutr_veg = 9 then nutr_veg_g = 9;
if nutr_salat = 9 and nutr_veg ne 9 then nutr_veg_g = nutr_veg;
if nutr_salat ne 9 and nutr_veg = 9 then nutr_veg_g = nutr_salat;
if (nutr_salat >= nutr_veg) and nutr_salat ne 9 then nutr_veg_g = nutr_salat;
if (nutr_veg >= nutr_salat) and nutr_veg ne 9 then nutr_veg_g = nutr_veg;

Source of L49geme and L49sal is participant's questionnaire at baseline

EPIC_NUTR_VEG_G

The EPIC variable QGE02 was used for the production of NUTR_VEG_G according to the following definition and rule.

EPIC var definition(s):
QGE02: EPIC elderly Greece variable that shows Vegetables consumption from DQ food group (gr)

Coding rule:
Variable NUTR_VEG_G shows daily vegetable consumption defined as grams. NUTR_VEG_G is identical to QGE02.

Coding rule in STATA:
-gen NUTR_VEG_G = QGE02

-replace NUTR_VEG_G = 99999 if NUTR_VEG_G==.