Table 3.
Hierarchical linear regression analysis for the predictors of resilience (n = 250).
| Variables | Resilience |
|||
|---|---|---|---|---|
| β | P | β | P | |
| Step 1 | ||||
| Marriage | -0.104 | 0.114 | -0.043 | 0.398 |
| Education | 0.132 | 0.056 | 0.063 | 0.235 |
| Job status | 0.079 | 0.201 | 0.056 | 0.250 |
| Income | 0.146 | 0.036 | -0.028 | 0.608 |
| Residence | 0.079 | 0.217 | 0.036 | 0.471 |
| BMI | 0.038 | 0.536 | -0.047 | 0.326 |
| Medical payments types | -0.133 | 0.031 | -0.116 | 0.015 |
| Comorbid chronic diseases | -0.101 | 0.121 | -0.059 | 0.235 |
| Step 2 | ||||
| Hope | 0.142 | 0.039 | ||
| Perceived stress | -0.117 | 0.034 | ||
| Optimism | 0.082 | 0.119 | ||
| Perceived social support | 0.458 | <0.001 | ||
| F value | 5.507 | 20.736 | ||
| p value | 0.000 | 0.000 | ||
| R2 | 0.155 | 0.512 | ||
| Adjusted R2 | 0.126 | 0.487 | ||
Figures in bold represent being statistically significant (P < 0.05).