Table 3.
Final logistic regression model of functionally limiting aerobic capacity (VO2 peak<20ml* kg−1* min−1) on Physical Performance Test (A) and mini Physical Performance Test (B), Mini-Mental State Exam (MMSE) and demographics in the AD group.
| Logistic Coefficient b (SE) | p-value | Odds Ratio | 95% CI of Odds Ratio | -2 Log- Likelihood Ratio | Omnibus chi square | |
|---|---|---|---|---|---|---|
| Constant | −0.05 (0.27) | 0.99 | 77.70 | |||
| Gender | −3.28 (0.88) | <0.001 | 0.038 | 0.007 – 0.21 | 62.52 | 15.17 |
| PPT | −0.34 (0.17) | 0.04 | 0.71 | 0.51 – 0.98 | 51.85 | 25.85 |
| Age | 0.16 (0.08) | 0.051 | 1.17 | 1.00 – 1.38 | 47.40 | 30.30 |
| MMSE | ns | 0.36 | ||||
| Overall prediction accuracy 88.3%. Nagelkerke Rsqr = 0.55. | ||||||
| B) | ||||||
| Constant | 12.54 (3.84) | 0.001 | 96.12 | |||
| Gender | −2.61 (0.75) | <0.001 | 0.07 | 0.02 – 0.32 | 62.52 | 15.17 |
| mini-PPT | −0.84 (0.29) | 0.003 | 0.43 | 0.25 – 0.76 | 51.07 | 22.05 |
| Age | ns | 0.054 | ||||
| MMSE | ns | 0.37 | ||||
| Overall prediction accuracy 78.3%. Nagelkerke Rsqr = 0.49. | ||||||
Predictor variable are shown in the order of entry. -2 log-likelihood and chi square represent omnibus model statistics with entry of each predictor variable.
SE = Standard Error
*
ns – variable not selected for the final model.
-2 log-likelihood and Model chi square represent whole model statistics with entry of each predictor variable