Table 5.
Logistic regression analyses.
| Univariate models | Multivariate model | |||
|---|---|---|---|---|
| OR for diabetes (95% CI) | P-value | OR for diabetes (95% CI) | P-value | |
| EATi (per mL/m2 increase) | 1.03 (1.01–1.05) | <0.05 | – | |
| ASATi (per L/m2 increase) | 1.45 (0.94–2.24) | 0.09 | 1.28 (0.82–2.01) | 0.28 |
| VATi (per L/m2 increase) | 3.73 (1.75–7.95) | <0.001 | 3.01 (1.28–7.05) | <0.05 |
| Liver fat (per % point increase) | 1.11 (1.04–1.18) | <0.01 | 1.03 (0.96–1.11) | 0.46 |
| MFI (per % point increase) | 1.38 (1.09–1.75) | <0.01 | – | |
| FFMVi (per L/m2 increase) | 1.26 (0.63–2.50) | 0.52 | – | |
Univariate models show each predictor deployed separately. The multivariate models display ASATi, VATi and liver fat deployed simultaneously. OR, odds ratio; EATi, epicardial adipose tissue index; ASATi, abdominal subcutaneous adipose tissue index; VATi, visceral adipose tissue index; MFI, thigh muscle fat infiltration; FFMVi, fat-tissue free muscle volume index.