[Table/Fig-7]:
Multivariate conditional forward logistic regression analysis. In each model a new variable was added to the previous variables and the data of the last model with six parameters and one constant has been presented.
| Model | Included variables | -2LL | Cox-Snell R- square | OR Exp (β) | 95% CI | Predictive value | p |
|---|---|---|---|---|---|---|---|
| 1 | Age | 227.8 | 0.088 | 1.08 | 1.04 – 1.13 | 76.0 | 0.001 |
| 2 | + HDL-C | 212.4 | 0.149 | 0.92 | 0.88 – 0.96 | 78.3 | 0.001 |
| 3 | + Male sex | 203.6 | 0.182 | 5.16 | 2.25 – 11.79 | 80.1 | 0.001 |
| 4 | + Hypertension | 191.0 | 0.227 | 4.74 | 2.07 – 10.85 | 81.0 | 0.001 |
| 5 | + Cholesterol | 185.3 | 0.247 | 1.01 | 1.002 – 1.021 | 81.9 | 0.034 |
| 6 | + Diabetes mellitus | 181.2 | 0.261 | 2.50 | 1.00 – 6.29 | 82.4 | 0.051 |
R: multiple correlation coefficient of each model, OR: odds ratio and CI: confidence interval, LL: Log of likelihood