TABLE 5.
Multivariable logistic regression analyses of the effect of chromium supplementation on diabetes in the subpopulation of individuals who consumed at least one dietary supplement of any kind1
| Predictor variable | OR | SE | (95% CI) | P > t |
| Analysis 2A, T2D-M1 (n = 15,103) | ||||
| Chromium, yes | 0.83 | 0.08 | (0.69, 0.99) | 0.046 |
| Analysis 2B, T2D-M2 (n = 14,893) | ||||
| Chromium, yes | 0.86 | 0.07 | (0.74, 1.02) | 0.06 |
| Analysis 2C, T2D-M1 (n = 15,103) | ||||
| Chromium, ≥2000 μg/30 d | 0.82 | 0.09 | (0.66, 1.02) | 0.08 |
| Chromium, <2000 μg/30 d | 0.84 | 0.10 | (0.67, 1.06) | 0.14 |
| Analysis 2D, T2D-M2 (n = 14,893) | ||||
| Chromium, ≥2000 μg/30 d | 0.89 | 0.09 | (0.73, 1.07) | 0.21 |
| Chromium, <2000 μg/30 d | 0.82 | 0.07 | (0.69, 0.99) | 0.03 |
1
HbA1c, glycated hemoglobin; T2D-M1, type 2 diabetes defined on the basis of HbA1c values only; T2D-M2, type 2 diabetes defined by both HbA1c values and doctor diagnosis.