Table 5.
Logistic Regression Analysis for Factors Associated with Depression and Anxiety Regarding COVID-19
| Characteristics | Depression | Anxiety | ||
|---|---|---|---|---|
| OR (95% CI) | P-value | OR (95% CI) | P-value | |
| Gender (Reference: Male) | ||||
| Female | 1.052 (0.544,2.038) | 0.879 | 0.977 (0.463,2.064) | 0.952 |
| Age (Reference: Gen Z) | ||||
| Millennials | 0.637 (0.187,1.618) | 0.278 | 1.471 (0.569,3.804) | 0.426 |
| Gen X | 0.550 (0.257,1.578) | 0.330 | 0.753 (0.224,2.533) | 0.647 |
| Education (Reference: Middle school and below) | ||||
| Senior high school/vocational school | 1.630 (0.481,5.520) | 0.433 | 0.363 (0.090,1.462) | 0.154 |
| Junior college | 0.871 (0.350,2.166) | 0.766 | 0.151 (0.047,0.484) | 0.001 |
| Undergraduate and above | 1.382 (0.598,3.194) | 0.449 | 0.877 (0.387,1.987) | 0.753 |
| Monthly income (Reference: Do not want to talk about it) | ||||
| 6000 and below | 2.114 (0.596,7.496) | 0.246 | 1.203 (0.301,4.818) | 0.794 |
| 6001 and above | 4.987 (1.084,22.949) | 0.039 | 1.268 (0.255,6.307) | 0.771 |
| Hosmer–Lemeshow goodness of fit statistic | 4.679 | 0.791 | 1.555 | 0.980 |
| Nagelkerke R2 value | 6.5% | 17.1% | ||