Table 1.
Demographic and variable characteristics.
| Variables | Training dataset | Test dataset | |||
|---|---|---|---|---|---|
|
No depression symptoms (n = 1,041) |
Have depression symptoms (n = 891) |
No depression symptoms (n = 346) |
Have depression symptoms (n = 296) |
||
| Gender | |||||
| Female | 783 (75.2%) | 746 (83.7%) | 266 (76.9%) | 241 (81.4%) | |
| Male | 258 (24.8%) | 145 (16.3%) | 80 (23.1) | 55 (18.6%) | |
| Frontline worker | |||||
| Yes | 279 (26.8%) | 406 (45.6%) | 98(28.3%) | 132(44.6%) | |
| No | 762 (73.2%) | 485 (54.4%) | 248(71.7%) | 164(55.4%) | |
| Married | |||||
| Yes | 715 (68.7%) | 548 (61.5%) | 238 (68.8%) | 197 (66.6%) | |
| No | 326 (31.3%) | 343 (38.5%) | 108 (31.2%) | 99 (33.4%) | |
| Education | |||||
| Graduate degree or higher | 177 (17.0%) | 154 (17.3%) | 66(19.1%) | 51(17.2%) | |
| Undergraduate degree or lower | 864 (83.0%) | 737 (82.7%) | 280(80.9%) | 245(82.8%) | |
| COVID-19-like symptom (fever, dry cough, fatigue etc.) | |||||
| Yes | 126 (12.1%) | 194 (21.8%) | 37 (10.7%) | 68 (23.0%) | |
| No | 915 (87.9%) | 697 (78.2%) | 309 (89.3%) | 228 (77.0%) | |
| Worry about infection | |||||
| Yes | 740 (71.1%) | 819 (91.9%) | 228 (65.9%) | 268 (90.5%) | |
| No | 301 (28.9%) | 72 (8.1%) | 118 (34.1%) | 28 (9.5%) | |
| Getting COVID-19 information via talking/chatting | |||||
| Yes | 572 (54.9%) | 562 (63.1%) | 204 (59.0%) | 195 (65.9%) | |
| No | 469 (45.1%) | 329 (36.9%) | 142 (41.0%) | 101 (34.1%) | |
| Getting COVID-19 information through new media (WeChat, TikTok, Weibo, etc.) | |||||
| Yes | 997 (95.8%) | 861 (96.6%) | 329 (95.1%) | 283 (95.6%) | |
| No | 44 (4.2%) | 30 (3.4%) | 17 (4.9%) | 13 (4.4%) | |
| Getting COVID-19 information from television | |||||
| Yes | 574 (55.1%) | 429 (48.1%) | 202 (58.4%) | 148 (50.0%) | |
| No | 467 (44.9%) | 462 (51.9%) | 144 (41.6%) | 148 (50.0%) | |
| Received any form of psychotherapy | |||||
| Yes | 141 (13.5%) | 125 (14.0%) | 52 (15.0%) | 48 (16.2%) | |
| No | 900 (86.5%) | 766 (86.0%) | 294 (85.0%) | 248 (83.8%) | |
| Received any form of psychological support material | |||||
| Yes | 672 (64.6%) | 451 (50.6%) | 228 (65.9%) | 149 (50.3%) | |
| No | 369 (35.4%) | 440 (49.4%) | 118 (34.1%) | 147 (49.7%) | |
| Received other psychological help | |||||
| Yes | 42 (4.0%) | 45 (5.1%) | 23 (6.6%) | 11 (3.7%) | |
| No | 999 (96.0%) | 846 (94.9%) | 323 (93.4%) | 285 (96.3%) | |
| Living arrangement | |||||
| Live with family | 712 (68.4%) | 484 (54.3%) | 249 (72.0%) | 170 (57.4%) | |
| Live alone | 214 (20.6%) | 221 (24.8%) | 63 (18.2%) | 72 (24.3%) | |
| Live with friends | 108 (10.4%) | 168 (18.9%) | 33 (9.5%) | 51 (17.2%) | |
| Live with others | 7 (0.7%) | 18 (2.0%) | 1 (0.3%) | 3 (1.0%) | |
| Location of residence | |||||
| Wuhan city | 377 (36.2%) | 459 (51.5%) | 112 (32.4%) | 154 (52.0%) | |
| Hubei province | 297 (28.5%) | 172 (19.3%) | 103 (29.8%) | 68 (23.0%) | |
| Other province | 367 (35.3%) | 260 (29.2%) | 131 (37.9%) | 74 (25.0%) | |
| Time spent seeking COVID-19 information | |||||
| <1 h | 206 (19.8%) | 144 (16.2%) | 58 (16.8%) | 34 (11.5%) | |
| 1–2 h | 473 (45.4%) | 336 (37.7%) | 166 (48.0%) | 121 (40.9%) | |
| 3–4 h | 226 (21.7%) | 218 (24.5%) | 68 (19.7%) | 83 (28.0%) | |
| Over 5 h | 136 (13.1%) | 193 (21.7%) | 54 (15.6%) | 58 (19.6%) | |
| Perception on pandemic control | |||||
| Very strong | 117 (11.2%) | 237 (26.6%) | 39 (11.3%) | 69 (23.3%) | |
| Strong | 338 (32.5%) | 339 (38.0%) | 119 (34.4%) | 127 (42.9%) | |
| Normal | 538 (51.7%) | 306 (34.3%) | 178 (51.4%) | 97 (32.8%) | |
| None | 48 (4.6%) | 9 (1.0%) | 10 (2.9%) | 3 (1.0%) | |
| Self-perceived health status compered to before COVID-19 outbreak | |||||
| Much worse | 91 (8.7%) | 312 (35.0%) | 22 (6.4%) | 110 (37.2%) | |
| Worse | 867 (83.3%) | 499 (56.0%) | 288 (83.2%) | 162 (54.7%) | |
| Unchanged | 76 (7.3%) | 33 (3.7%) | 34 (9.8%) | 7 (2.4%) | |
| Better | 7 (0.7%) | 47 (5.3%) | 2 (0.6%) | 17 (5.7%)142 | |
| Infected/family infected | |||||
| Yes | 17 (1.6%) | 34 (3.8%) | 1 (0.3%) | 13 (4.4%) | |
| No | 1,024 (98.4%) | 857 (96.2%) | 345 (99.7%) | 283 (95.6%) | |
| Colleague infected | |||||
| Yes | 235 (22.6%) | 299 (33.6%) | 59 (17.1%) | 119 (40.2%) | |
| No | 806 (77.4%) | 592 (66.4%) | 287 (82.9%) | 177 (59.8%) | |
| Friend infected | |||||
| Yes | 80 (7.7%) | 113 (12.7%) | 20 (5.8%) | 35 (11.8%) | |
| No | 961 (92.3%) | 778 (87.3%) | 326 (94.2%) | 261 (88.2%) | |
| Neighborhood infected | |||||
| Yes | 141 (13.5%) | 184 (20.7%) | 34 (9.8%) | 58 (19.6%) | |
| No | 900 (86.5%) | 707 (79.3%) | 312 (90.2%) | 238 (80.4%) | |
| Age group (in years) | |||||
| 18–30 | 450 (43.2%) | 433 (48.6%) | 142 (41.0%) | 137 (46.3%) | |
| 31–40 | 323 (31.0%) | 294 (33.0%) | 102 (29.5%) | 89 (30.1%) | |
| 41 and above | 268 (25.7%) | 164 (18.4%) | 102 (29.5%) | 70 (23.6%) | |
| Self-perceived current health status | |||||
| Not good | 3 (0.3%) | 53 (5.9%) | 2 (0.6%) | 15 (5.1%) | |
| Normal | 300 (28.8%) | 612 (68.7%) | 82 (23.7%) | 202 (68.2%) | |
| Good | 738 (70.9%) | 226 (25.4%) | 262 (75.7%) | 79 (26.7%) | |