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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2021 Oct 7:10.1158/1055-9965.EPI-21-0675. doi: 10.1158/1055-9965.EPI-21-0675

Table 1.

Age-standardized a characteristics of the study population at baseline in 1995 according to quartiles of predicted vitamin D score.

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
a

Values are means (SD) or percentages and are standardized to the age distribution of the study population.