Table 2 Logistic regression analysis of the influencing factors of depression among population
| Â | P | OR | 95% C.I. | |
|---|---|---|---|---|
Gender | Women | Â | Â | Â |
Men | 0.000 | 1.433 | 1.186–1.732 | |
Age | 16 < Age ≤ 20 | 0.003 |  |  |
21 < Age ≤ 30 | 0.104 | 1.194 | 0.964–1.477 | |
31 < Age ≤ 40 | 0.265 | 0.841 | 0.621–1.140 | |
41 < Age ≤ 50 | 0.068 | 0.719 | 0.504–1.025 | |
16 < Age ≤ 20 | 0.078 | 0.608 | 0.350–1.057 | |
The likelihood of having sequela after cured | Mean ± SD(4.65 ± 2.85) | 0.006 | 1.046 | 1.013–1.081 |
Self-searching COVID-19 information | No | Â | Â | Â |
Yes | 0.041 | 0.828 | 0.691–0.992 | |
No | Â | Â | Â | |
COVID-19 information from state media on TV | Yes | 0.031 | 0.821 | 0.687–0.982 |
No | Â | Â | Â | |
Chronic physical disease | Yes | 0.034 | 1.386 | 1.025–1.873 |
Desperation induced by information relevant to COVID-19 | Mean ± SD(1.91 ± 1.77) | 0.000 | 1.128 | 1.074–1.185 |
Confusion induced by information relevant to COVID-19 | Mean ± SD (3.55 ± 2.65) | 0.000 | 1.088 | 1.044–1.134 |
Sadness induced by information relevant to COVID-19 | Mean ± SD (3.86 ± 2.88) | 0.008 | 1.054 | 1.014–1.096 |
Somatic discomfort induced by information relevant to COVID-19 | Mean ± SD (1.94 ± 1.73) | 0.000 | 1.185 | 1.130–1.242 |
Mental health disorder | None | 0.000 | Â | Â |
Having one mental health disorder | 0.000 | 2.294 | 1.847–2.850 | |
Comorbidities with one mental health disorders | 0.000 | 3.525 | 2.683–4.631 | |
Comorbidities with two or more mental health disorders | 0.000 | 5.897 | 4.177–8.324 | |
Daily online time | 0 h < time ≤ 3 h | 0.000 |  |  |
3 h < time ≤ 5 h | 0.269 | 1.216 | 0.860–1.719 | |
5 h < time ≤ 7 h | 0.651 | 1.086 | 0.759–1.554 | |
7 h < time ≤ 9 h | 0.000 | 2.034 | 1.412–2.930 | |
>  9 h | 0.000 | 2.567 | 1.816–3.628 | |
Experience with traumatic incidents | Negative | 0.000 | Â | Â |
Positive | 0.000 | 0.434 | 0.331–0.569 | |
Did not experiences | 0.000 | 0.517 | 0.410–0.653 | |
Constant | Â | 0.000 | 0.017 | Â |