Table 4.
Hierarchical logistic regression model for successful aging
| Variables | Step 1 | Step 2 | ||||
|---|---|---|---|---|---|---|
| β | OR | 95% CI for OR | β | OR | 95% CI for OR | |
| Age | −0.978*** | 0.376*** | [0.232, 0.609] | −0.865** | 0.421** | [0.254, 0.698] |
| Marital status (ref. married) | ||||||
| Unmarried | −1.143* | 0.319* | [0.125,0.816] | −1.095* | 0.335* | [0.124, 0.903] |
| Education (ref. illiterate) | ||||||
| Literate | 0.806 | 2.239 | [0.888, 5.648] | 0.567 | 1.764 | [0.661, 4.704] |
| Economic status (ref. poor) | ||||||
| Fair | 2.122 | 8.346 | [0.864, 80.632] | 1.223 | 3.396 | [0.320, 36.032] |
| Good | 2.761* | 15.815* | [1.864, 135.467] | 2.269* | 9.666* | [1.046, 89.311] |
| Perceived social support | 0.676 | 1.967 | [0.816, 4.739] | |||
| Resilience | 0.944* | 2.570* | [1.224, 5.394] | |||
| Nagelkerke R 2 | 0.364 | 0.458 | ||||
* P < 0.05; ** P < 0.01; *** P < 0.001