Table 4.
Comparisons between demographic data and burnout
| Intermediate pattern of burnout | ||||
|---|---|---|---|---|
| No (n = 25) | Yes (n = 79) | p value | Odds ratio (95% CI) | |
| Focus of current study | ||||
| Basic sciences | 8 (32%) | 26 (33.3%) | 0.550a | – |
| Clinical sciences | 5 (20%) | 23 (29.5%) | ||
| Research | 12 (48%) | 29 (37.2%) | ||
| Age | ||||
| 21–29 | 20 (80%) | 70 (88.6%) | 0.272a | 0.51 (0.16–1.71) |
| 30–39 | 5 (20%) | 9 (11.4%) | ||
| Gender | ||||
| Female | 14 (56%) | 36 (46.2%) | 0.391a | 1.46 (0.60–3.68) |
| Male | 11 (44%) | 42 (53.8%) | ||
| Relationship status | ||||
| Married | 6 (25%) | 10 (12.8%) | 0.151a | 2.27 (0.73–7.07) |
| Single | 18 (75%) | 68 (87.2%) | ||
| Highest educational achievement | ||||
| Bachelor’s degree | 20 (80%) | 66 (83.5%) | 0.683a | 0.79 (0.25–2.48) |
| Master’s degree or doctor of philosophy | 5 (20%) | 13 (16.5%) | ||
| Part-time work | ||||
| Yes | 2 (8%) | 5 (6.3%) | 0.771a | 1.29 (0.23–7.08) |
| No | 23 (92%) | 74 (93.7%) | ||
| Psychiatric history | ||||
| Yes | 0 (0%) | 3 (3.8%) | 0.430b | – |
| No | 25 (100%) | 75 (96.2%) | ||
aChi-square test
bFisher’s exact test (one-sided)