Table 1.
Age-adjusted characteristics of study participants according to cruciferous vegetable intake (the Shanghai Women’s Health Studya)
Quintiles of Cruciferous Vegetable Intake (g/day)
|
P trendb | |||||
---|---|---|---|---|---|---|
≤ 42.5 (n=201) | 42.6–68.4 (n=201) | 68.5–98.8 (n=201) | 98.9–140.5 (n=201) | >140.6 (n=201) | ||
mean±standard deviation | ||||||
Age (y) | 57.4 ±9.0 | 58.1±8.5 | 58.8±8.7 | 57.4±8.7 | 58.7±9.0 | 0.29 |
% | ||||||
Education, ≥high school | 33.4 | 33.3 | 32.7 | 30.8 | 31.5 | 0.96 |
Occupation, manual laborer | 62.6 | 59.7 | 57.2 | 56.3 | 51.7 | 0.15 |
Cigarette smoker | 5.6 | 3.1 | 2.9 | 3.2 | 3.6 | 0.57 |
Regular alcohol consumption | 3.7 | 1.6 | 4.1 | 3.1 | 2.3 | 0.59 |
Postmenopausal | 72.5 | 72.5 | 76.5 | 75.3 | 77.3 | 0.13 |
History of infectious/inflammatory disease | 55.8 | 61.7 | 58.1 | 59.4 | 66.1 | 0.25 |
Aspirin and other nonsteroidal anti-inflammatory drug use | 2.6 | 2.2 | 4.9 | 2.0 | 5.4 | 0.17 |
Multivitamin supplement use | 17.4 | 17.7 | 17.1 | 20.9 | 21.1 | 0.64 |
Season of interview | ||||||
Spring | 21.4 | 26.3 | 21.9 | 23.7 | 19.8 | 0.47 |
Summer | 33.3 | 26.4 | 26.1 | 26.5 | 23.3 | |
Fall | 22.5 | 22.6 | 20.0 | 21.1 | 24.9 | |
Winter | 22.8 | 24.9 | 32.1 | 28.7 | 32.0 | |
mean±standard error | ||||||
Body mass index | 24.5±0.2 | 24.9±0.2 | 24.8 ±0.2 | 24.4±0.2 | 24.6±0.2 | 0.75 |
Charlson comorbidity score | 0.38±0.05 | 0.25±0.05 | 0.32±0.05 | 0.23±0.05 | 0.30±0.05 | 0.23 |
Physical activity (METc hour/week) | 4.4±0.8 | 6.3±0.8 | 6.9±0.8 | 7.8±0.8 | 8.8±0.8 | <0.0001 |
Dietary intake | ||||||
Total calories (kcal/d) | 1,619.0±28.5 | 1,664.5±28.5 | 1,703.7±28.5 | 1,728.3±28.5 | 1,601.4±28.5 | 0.75 |
All fruits combined (g/d) | 184.7±11.2 | 245.3±11.2 | 236.1±11.2 | 249.2±11.2 | 272.9±11.2 | <0.0001 |
All vegetables combined (g/d) | 150.5±8.2 | 217.5±8.2 | 265.3±8.2 | 324.8±8.2 | 463.7±8.2 | <0.0001 |
Noncruciferous vegetables (g/d) | 123.7±7.3 | 161.1±7.3 | 182.5±7.3 | 206.0±7.3 | 259.3±7.3 | <0.0001 |
Red meats (g/d) | 42.2±2.0 | 42.2±2.0 | 53.7±2.0 | 47.4±2.0 | 43.6±2.0 | 0.21 |
Except for the mean age, data were standardized to the age distribution.
Generalized linear models were used for continuous variables, and the Cochran-Mantel-Haenszel χ2 test was used for categorical variables.
MET=metabolic equivalent.