TABLE 3.
Regression models with binary cholesterol as response variable.
| Variables | Model A, N = 9639 | Model B (Males), N = 3847 | Model C (Females), N = 5792 | |||
|---|---|---|---|---|---|---|
| OR (CI 95%) | p | OR (CI 95%) | p | OR (CI 95%) | p | |
| Sex | 1.14 (1.01, 1.29) | 0.029 | — | — | ||
| VAI | 1.13 (1.11, 1.16) | 0.000 | 1.13 (1.09, 1.17) | ≤0.001 | 1.13 (1.09, 1.15) | ≤0.001 |
| BAI | 1.02 (1.01, 1.04) | 0.000 | 1.02 (1.01, 1.05) | 0.010 | 1.02 (1.01, 1.03) | 0.001 |
| Age | 1.04 (1.03, 1.04) | 0.000 | 1.01 (1.01, 1.02) | 0.050 | 1.05 (1.04, 1.06) | ≤0.001 |
| Waist hip | 2.37 (1.32, 4.25) | 0.004 | 4.17 (1.43, 12.16) | 0.009 | 1.60 (0.78, 3.26) | 0.193 |
| BMI | ||||||
| Underweight (<18) | 0.69 (0.41, 1.18) | 0.173 | 0.41 (0.18, 0.92) | 0.031 | 1.18 (0.54, 2.56) | 0.677 |
| Normal (18–25) | Ref | — | Ref | — | Ref | — |
| Overweight (25–30) | 1.17 (1.04, 1.32) | 0.009 | 1.08 (0.91, 1.30) | 0.374 | 1.23 (1.05, 1.45) | 0.010 |
| Obese (>30) | 1.01 (0.86, 1.19) | 0.870 | 0.97 (0.73, 1.28) | 0.848 | 1.03 (0.83, 1.27) | 0.784 |
| Accuracy | 63% | 66% | 63% | |||