Table 3.
Overall(n=12297) | Men (n=6200) | Women (n=6103) | ||||
---|---|---|---|---|---|---|
Lifestyle factor | Estimate [kg/m2] | P-value | Estimate [kg/m2] | P-value | Estimate [kg/m2] | P-value |
High carbohydrate score | −0.422 | 3.19×10−7 | −0.282 | 5.18×10−3 | −0.465 | 2.91×10−4 |
High fat score | −0.265 | 1.82×10−3 | −0.179 | 0.08 | −0.284 | 0.04 |
High alcohol consumption | −0.477 | 3.19×10−7 | 0.099 | 0.35 | −1.228 | 1.15×10−14 |
Ever smoking | −0.273 | 7.26×10−4 | 0.230 | 0.02 | −0.495 | 9.57×10−5 |
High physical activity | −0.861 | 5.08×10−28 | −0.657 | 6.85×10−12 | −1.052 | 1.84×10−17 |
Abbreviation: BMI, body mass index. Association estimates and P-values from linear regression of lifestyle factors on the outcome BMI, adjusted for age, sex, survey and all lifestyle factors are shown for the effects of high (≥median) versus low (reference) carbohydrate or fatscore, high (men: ≥40 g per day; women: ≥ 20 g per day) versus low (reference) alcohol consumption, ever versus never smokers (reference), high (scores 1 and 2) versus low (reference) physical activity.