Table 1.
Predicted vitamin D score at baseline |
||||
---|---|---|---|---|
|
Quartile 1 (n=12,383) |
Quartile 2 (n=12,384) |
Quartile 3 (n=12,384) |
Quartile 4 (n=12,383) |
Factors included in the vitamin D prediction model | ||||
Body mass index, kg/m² | 32.0 (7.4) | 28.3 (6.5) | 26.3 (5.2) | 25.0 (4.9) |
Smoking status: Current smoker, % | 26 | 15 | 12 | 7 |
Alcohol consumption: Current drinker, ≥7 drinks/week, % | 13 | 7 | 4 | 3 |
Vigorous exercise: ≥5 hours/week, % | 8 | 11 | 15 | 21 |
Vitamin D supplementation, % | 0 | 0 | 1 | 29 |
Multivitamin use, % | 14 | 52 | 80 | 93 |
Dietary vitamin D intake, kcal-mcg/day | 2.4 (1.3) | 2.6 (1.4) | 3.0 (1.7) | 3.1 (1.9) |
Potential confounders | ||||
Age | 40.3 (10.1) | 39.1 (10.6) | 38.2 (10.6) | 36.1 (10.3) |
Years of education: ≤12 years, % | 25 | 18 | 15 | 12 |
Family history of colorectal cancer, % | 9 | 9 | 10 | 9 |
Calcium supplementation, % | 9 | 16 | 22 | 46 |
Folate supplementation, % | 3 | 4 | 6 | 8 |
Current aspirin use, % | 10 | 9 | 9 | 8 |
Red meat consumption: Highest quartile, % | 31 | 26 | 22 | 19 |
Processed meat consumption: Highest quartile, % | 30 | 26 | 22 | 20 |
Total fiber intake: Highest quartile, % | 18 | 23 | 28 | 32 |
Geographic region: | ||||
Northeast, % | 25 | 28 | 28 | 28 |
South, % | 31 | 31 | 30 | 31 |
Midwest, % | 22 | 23 | 23 | 24 |
West, % | 21 | 18 | 19 | 17 |
Values are means (SD) or percentages and are standardized to the age distribution of the study population.