Table 1.
Characteristics of questionnaire respondents and univariate analysis results.
| Variable | Category | Total n (%) | Pandemic fatigue | P-valuec | |
|---|---|---|---|---|---|
| Yes n = 663 (%) | No n = 691 (%) | ||||
| Age (years)a | ≤ 24 | 310 (22.9) | 151 (22.8) | 159 (23.0) | 0.349 |
| 25–30 | 363 (26.8) | 183 (27.6) | 180 (26.0) | ||
| 31–36 | 327 (24.2) | 169 (25.5) | 158 (22.9) | ||
| ≥37 | 354 (26.1) | 160 (24.1) | 194 (28.1) | ||
| Sexa | Men | 621 (45.9) | 338 (51.0) | 395 (57.2) | 0.025 |
| Women | 733 (54.1) | 325 (49.0) | 296 (42.8) | ||
| Educational backgrounda | Junior college or below | 430 (31.8) | 219 (33.0) | 211 (30.5) | 0.350 |
| Bachelor degree or above | 924 (68.2) | 444 (67.0) | 480 (69.5) | ||
| Occupationa | Unemployed, retired or others | 364 (26.9) | 187 (28.2) | 177 (25.6) | 0.297 |
| Employed | 990 (73.1) | 476 (71.8) | 514 (74.4) | ||
| Marital statusa | Married or cohabitating | 819 (60.5) | 397 (59.9) | 422 (61.1) | 0.657 |
| Unmarried, divorced, or widowed | 535 (39.5) | 266 (40.1) | 269 (38.9) | ||
| Have childrena | Yes | 735 (54.3) | 306 (46.2) | 313 (45.3) | 0.785 |
| No | 619 (45.7) | 357 (53.8) | 378 (54.7) | ||
| Monthly salary (yuan)a | <1000 | 181 (13.4) | 95 (13.7) | 86 (13.0) | 0.981 |
| 1000–2999 | 167 (12.3) | 85 (12.3) | 82 (12.4) | ||
| 3000–4999 | 276 (20.4) | 142 (20.5) | 134 (20.2) | ||
| 5000–7999 | 396 (29.2) | 203 (29.4) | 193 (29.1) | ||
| ≥8000 | 334 (24.7) | 166 (24.0) | 168 (25.3) | ||
| COVID-19 feara | Low | 498 (36.8) | 154 (23.2) | 344 (49.8) | <0.001 |
| High | 856 (63.2) | 509 (76.8) | 347 (50.2) | ||
| Social supporta | Low | 240 (17.7) | 135 (20.4) | 105 (15.2) | <0.001 |
| Medium | 788 (58.2) | 400 (60.3) | 388 (56.2) | ||
| High | 326 (24.1) | 128 (19.3) | 198 (28.7) | ||
| Knowledge scoreb | 13.28 ± 2.16 | 12.82 ± 2.55 | 13.72 ± 1.59 | <0.001 | |
| Attitude scoreb | 30.28 ± 3.31 | 29.28 ± 3.57 | 31.24 ± 2.71 | <0.001 | |
| Practice scoreb | 48.23 ± 4.86 | 46.94 ± 5.40 | 49.46 ± 3.90 | <0.001 | |
| Be in close contact with a patient or be a patienta | Yes | 560 (41.4) | 293 (44.2) | 267 (38.6) | <0.041 |
| No | 794 (58.6) | 370 (55.8) | 424 (61.4) | ||
| The pandemic's impact on employmenta | Very small | 62 (4.6) | 17 (2.6) | 45 (6.5) | <0.001 |
| Relatively small | 138 (10.2) | 56 (8.4) | 82 (11.9) | ||
| General | 399 (29.5) | 167 (25.2) | 232 (33.6) | ||
| Relatively large | 516 (38.1) | 294 (44.3) | 222 (32.1) | ||
| Very large | 239 (17.6) | 129 (19.5) | 110 (15.9) | ||
| The pandemic's impact on incomea | Very small | 99 (7.3) | 37 (5.6) | 62 (9.0) | <0.001 |
| Relatively small | 194 (14.3) | 97 (14.6) | 97 (14.0) | ||
| General | 485 (35.8) | 214 (32.3) | 271 (39.2) | ||
| Relatively large | 375 (27.7) | 195 (29.4) | 180 (26.0) | ||
| Very large | 201 (14.8) | 120 (18.1) | 81 (11.7) | ||
| COVID-19 anxietyb | 19.65 ±7.24 | 20.56 ± 6.66 | 18.78 ± 7.67 | <0.001 | |
| Community resilienceb | 37.62 ± 7.08 | 36.33 ± 6.81 | 38.84 ± 7.12 | <0.001 | |
| Personal resiliencyb | 27.22 ± 6.22 | 26.32 ± 5.92 | 28.09 ± 6.38 | <0.001 | |
| Health stateb | 89.31 ± 14.84 | 86.0 ± 17.28 | 92.45 ± 11.18 | <0.001 | |
a
Data are presented as number (%);
b
Data are presented as mean ± standard deviation;
c
p-value was calculated using the t-test and chi-square test.