TABLE 2.
Comparison of abdominal visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT), and BMI as predictors of the presence of the metabolic syndrome1
| Men |
Women |
|||||||
|---|---|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 1 | Model 2 | Model 3 | Model 4 | |
| Variable | ||||||||
| VAT (per 1 SD) | 3.98 (2.6, 6.2)2 | — | 2.72 (1.6, 4.6) | 2.32 (1.3, 4.1) | 3.10 (2.0, 4.7) | — | 2.33 (1.4, 3.8) | 2.22 (1.7, 3.7) |
| ASAT (per 1 SD) | — | 2.79 (1.9, 4.0) | 1.71 (1.1, 2.6) | 1.32 (0.7, 2.3) | — | 2.43 (1.7, 3.5) | 1.53 (1.0, 2.4) | 0.89 (0.4, 1.9) |
| BMI (per 1 SD) | — | — | — | 1.56 (0.8, 3.1) | — | — | — | 1.98 (0.9, 4.1) |
| Model AIC3 | 268.5 | 278.5 | 263.9 | 264.3 | 227.1 | 235.2 | 225.2 | 223.8 |
1
AIC, Akaike Information Criterion.
2
Odds ratio (OR); 95% CI in parentheses (all such values). All ORs (and 95% CIs) were adjusted for the other variables in the logistic regression models, as well as for age, age2, smoking status (yes or no), fat-free mass, and physical activity level. They are presented as OR per 1-SD unit increase in the predictor variables.
3
AIC is a goodness-of-fit measure; lower values indicate a better-fitting model.