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. 2018 Oct 1;22(2):354–362. doi: 10.1017/S1368980018002380

Table 4.

Correlation between food groups, healthy eating pattern and BMI, cholesterol and TAG levels at the third year among employees (n 12 636) who participated in a workplace wellness programme intervention for three consecutive years during years 2004 to 2013, Midwest USA

BMI (kg/m2) Cholesterol (mg/dl) TAG (mg/dl) n
Food groups
1. Grains −0·032* −0·054* −0·012* 11 671
2. Vegetables −0·057* −0·016NS −0·062* 8408
3. Fruits −0·071* −0·026* −0·052* 12 057
4. Dairy −0·033* −0·034* −0·014* 12 122
5. Protein 0·037* −0·014NS 0·011* 12 126
Low added sugar (sweets & desserts) −0·086* 0·017NS −0·064* 8430
Low fat intake −0·123* −0·013NS −0·047* 12 432
Healthy eating pattern
Low fat v. high fat −0·199* −0·030* −0·106* 12 423
Whole grains v. refined grains −0·111* −0·012NS −0·079* 12 312
Plant protein v. animal protein −0·118* 0·010NS −0·039* 12 369
Intake of dark green vegetables −0·087* 0·011NS −0·055* 12 343

Workplace wellness health risk questionnaires were collected from employees who participated in Nebraska-based workplace wellness programmes across several organizations for three consecutive years during 2004 to 2013. Consumption of food groups was quantified as servings/d in the questionnaires. Pearson’s correlation test was used to compute the P values for the paired data (non-missing pairs). Significance was determined at P<0·001.

*P<0·001.