Table 2.
Magnitude of the linear associations between bean and legume intake, body fat percentage, and waist circumference in 246 women.
| Body fat percentage | ||||
|---|---|---|---|---|
| Exposure variable (per 10% increase) | Regression coefficient | SE | F | P |
| Covariate | ||||
| Bean intake (cups/1000 kcal) | ||||
| None | −0.13 | 0.05 | 7.7 | 0.0058 |
| Age | −0.14 | 0.05 | 8.2 | 0.0045 |
| Age, energy intake | −0.14 | 0.05 | 8.2 | 0.0047 |
| Age, PA | −0.13 | 0.05 | 7.8 | 0.0056 |
| Age, PA, energy intake, education | −0.12 | 0.05 | 7.4 | 0.0069 |
|
| ||||
| Waist circumference (cm) | ||||
|
| ||||
| Bean intake (cups/1000 kcal) | ||||
| None | −0.13 | 0.07 | 3.6 | 0.0576 |
| Age | −0.13 | 0.07 | 3.8 | 0.0515 |
| Age, energy intake | −0.13 | 0.07 | 3.9 | 0.0494 |
| Age, PA | −0.12 | 0.07 | 3.5 | 0.0643 |
| Age, PA, energy intake, education | −0.12 | 0.06 | 3.4 | 0.0680 |
SE: standard error of the regression coefficient. PA: physical activity. Interpretation of the regression coefficient results would be as follows for the model under body fat percentage with age, PA, energy intake, and education controlled: for each 10% increase in bean intake (cups per 1000 kcal), body fat tends to be 0.12 percentage points lower, on average.