Table 5.
Comparison of characteristics between the burnout and nonburnout groups
| Burnout | Nonburnout | Total | p-value* | ||
|---|---|---|---|---|---|
| n = 123 (17.1%) | n = 596 (82.9%) | ||||
| Gender | Male | 33 (15.6) | 178 (84.4) | 211 | 0.501 |
| Female | 90 (17.7) | 418 (82.3) | 508 | ||
| Age (years) | 20–29 | 39 (20.2) | 154 (79.8) | 193 | 0.126 |
| 30–39 | 36 (20.1) | 143 (79.9) | 179 | ||
| 40–49 | 21 (12.8) | 143 (87.2) | 164 | ||
| 50–59 | 24 (16.8) | 119 (83.2) | 143 | ||
| 60+ | 3 (7.5) | 37 (92.5) | 40 | ||
| Job | Medical doctor | 18 (17.1) | 87 (82.9) | 105 | 0.068 |
| Nurse | 38 (22.9) | 128 (77.1) | 166 | ||
| Others | 67 (15.0) | 381 (85.0) | 448 | ||
| Exposure to COVID-19 | Non-frontliner | 87 (16.5) | 441 (83.5) | 528 | 0.456 |
| Frontliner | 36 (18.8) | 155 (81.2) | 191 | ||
* chi-square test;
Abbreviation: COVID-19, coronavirus disease 2019