Table 1 Association between demographics and adverse psychological outcomes of the COVID-19 outbreak (n = 863)
From: Psychological impact of COVID-19 on medical care workers in China
| Variables | n (%) | Impact of event | Depression | Anxiety | Stress | ||||
|---|---|---|---|---|---|---|---|---|---|
| β | P | β | P | β | P | β | P | ||
| Gender | |||||||||
| Male | 253 (29.3%) | -0.617 | 0.091 | 0.520 | 0.188 | -0.135 | 0.714 | 0.169 | 0.730 |
| Female | 610 (70.7%) | Reference | Reference | Reference | Reference | ||||
| Age (Years) | |||||||||
| ≤ 29 | 277 (32.1%) | 0.233 | 0.754 | -0.473 | 0.557 | 0.954 | 0.202 | -1.089 | 0.274 |
| 30–39 | 390 (45.2%) | -0.410 | 0.572 | -0.683 | 0.385 | 0·414 | 0.517 | -0.968 | 0.320 |
| 40–49 | 145 (16.8%) | 0.480 | 0.545 | 0.238 | 0.782 | 0.531 | 0.506 | -0.008 | 0.994 |
| ≥ 50 | 51 (5.9%) | Reference | Reference | Reference | Reference | ||||
| Marital status | |||||||||
| Currently not married | 303 (35.1%) | -0.230 | 0.508 | -0.182 | 0.630 | 0.475 | 0.174 | -0.397 | 0.395 |
| Currently married | 560 (64.9%) | Reference | Reference | Reference | Reference | ||||
| Education | |||||||||
| Technical secondary or below | 104 (12.0%) | -0.198 | 0.722 | 0.170 | 0.778 | 0.431 | 0.441 | 0.084 | 0.910 |
| College | 466 (54.0%) | 0.372 | 0.306 | -0.134 | 0.733 | 0.450 | 0.219 | -0.206 | 0.672 |
| Advanced degree | 293 (34.0%) | Reference | Reference | Reference | Reference | ||||
| Monthly income (CNY) | |||||||||
| < 6000 | 377 (43.7%) | -0.117 | 0.782 | -0.158 | 0.728 | 0.442 | 0.296 | 0.164 | 0.771 |
| 6000–9999 | 277 (32.1%) | 0.391 | 0.381 | -0.445 | 0.358 | 0.066 | 0.883 | -0.061 | 0.919 |
| ≥ 10 000 | 209 (24.2%) | Reference | Reference | Reference | Reference | ||||
| Occupation | |||||||||
| Doctor | 377 (43.7%) | 0.607 | 0.114 | 0.597 | 0.154 | -0.046 | 0.905 | 0.398 | 0.443 |
| Nurse | 211 (24.4%) | 1.520 | 0.001 | 0.699 | 0.148 | 1.283 | 0.004 | 0·957 | 0.110 |
| Other health worker | 275 (31.9%) | Reference | Reference | Reference | Reference | ||||
| Ever had chronic disease(s) | |||||||||
| Yes | 52 (6.0%) | 1.800 | 0.010 | 2.324 | 0.002 | 1.782 | 0.011 | 2.797 | 0.003 |
| No | 811 (94.0%) | Reference | Reference | Reference | Reference | ||||
| Current tobacco user | |||||||||
| Yes | 64 (7.4%) | -1.426 | 0.024 | -0.324 | 0.637 | -0.733 | 0.250 | -0.711 | 0.403 |
| No | 799 (92.6%) | Reference | Reference | Reference | Reference | ||||
| Current alcohol user | |||||||||
| Yes | 281 (32.6%) | 0.262 | 0.460 | 0.791 | 0.039 | 0.475 | 0.182 | 0.646 | 0.174 |
| No | 582 (67.4%) | Reference | Reference | Reference | Reference | ||||