Table 2.
Prediction factors for depressive symptomatology.
| Variable | Prediction model | ||
|---|---|---|---|
| β | Odds ratio (95% CI) | p value | |
| (Intercept) | 1.744 | 5.719 (0.108-315.986) | 0.390 |
| Sex | 4.348 | 77.361 (24.273-313.424) | p ≤ 0.001 |
| Age | 0.056 | 1.058 (1.015-1.106) | 0.011 |
| Education_level | -0.833 | 0.435 (0.214-0.84) | 0.016 |
| Marital_status | 0.136 | 1.145 (0.207-6.633) | 0.878 |
| Medical_insurance | -0.460 | 0.631 (0.276-1.416) | 0.266 |
| Per_capita_monthly_household_income | 0.310 | 1.364 (0.726-2.61) | 0.338 |
| Pathological_stage | -0.311 | 0.733 (0.279-1.908) | 0.523 |
| SSRS | -0.335 | 0.715 (0.339-1.492) | 0.373 |
| PSQI | 0.170 | 1.185 (1.023-1.387) | 0.027 |
| Total_score_QLQ_C30 | -0.144 | 0.866 (0.808-0.918) | p ≤ 0.001 |
β is the regression coefficient.