Table 2.
Multiple stepwise logistic regression analysis using NAFLD as dependent variable and as independent predictors all factors that were significant associated in univariate analysis
| Models | Regression coefficient ± SE | OR (95 % CІ) | p |
|---|---|---|---|
| Model 1 (Nagelkerke R2 = 0,624) | |||
| Constant | -8.971 ± 2.32 | ||
| Acyl-ghrelin | 0.583 ± 0.221 | 1.791 (1.162–2.759) | 0,008 |
| ALT | 0,116 ± 0.046 | 1.123 (1.026–1.230) | 0,012 |
| TG | 1.811 ± 0.701 | 6.119 (1.548–24.183) | 0.010 |
| Model 2 (Nagelkerke R2 = 0,569) | |||
| Constant | -5.984 ± 1.675 | ||
| Acyl-ghrelin | 0.469 ± 0.230 | 1.599 (1.019–2.508) | 0.041 |
| HOMA-IR | 0.386 ± 0.191 | 1.471 (1.010–2.140) | 0.044 |
| AST | 0.099 ± 0.046 | 1.104 (1.008–1.208) | 0.033 |