Table 1.
Multiple logistic regression analysis of 115 males and females for regional fat predictors of insulin resistance (IR group)
Model | Standardized OR | 95% CI | P valuea |
---|---|---|---|
Model 1 | |||
SAT (Z-score) | 0.58 | 0.35–0.98 | 0.04 |
Male sex | 1.56 | 0.62–3.89 | 0.34 |
BMI (kg/m2) | 1.19 | 1.00–1.42 | 0.05 |
Model 2 | |||
VAT (Z-score) | 1.80 | 1.03–3.15 | 0.04 |
Male sex | 1.39 | 0.54–3.59 | 0.49 |
BMI (kg/m2) | 1.01 | 0.87–1.17 | 0.89 |
Model 3 | |||
%VAT (Z-score) | 1.88 | 1.10–3.23 | 0.02 |
Male sex | 1.15 | 0.42–3.15 | 0.78 |
BMI (kg/m2) | 1.07 | 0.93–1.22 | 0.36 |
Model 4 | |||
Thigh (Z-score) | 0.41 | 0.22–0.78 | 0.006b |
Male sex | 0.59 | 0.16–2.09 | 0.41 |
BMI (kg/m2) | 1.34 | 1.08–1.65 | 0.007 |
Model 5 | |||
VAT (Z-score) | 1.77 | 1.04–3.02 | 0.04 |
SAT (Z-score) | 0.56 | 0.34–0.94 | 0.03 |
Male sex | 0.89 | 0.31–2.52 | 0.83 |
BMI (kg/m2) | 1.14 | 0.95–1.36 | 0.16 |
Interaction term for sex-regional fat mass term did not alter results, was not statistically significant, and was thus removed from final models.
P < 0.05 after adjustment for VAT, SAT, male sex, and BMI.