Table 3.
Multi-variate logistic regression for prediction of risk factors of job satisfaction
| Variables | Satisfied n=178 n (%) | Not satisfied n=42 n (%) | OR (95% CI) |
|---|---|---|---|
| Age group | |||
| ≤30 years | 86 (48) | 30 (71) | 1 |
| >30 years | 92 (52) | 12 (29) | 2.1 (1.1-3.4) |
| Duration of service | |||
| ≤3 years | 110 (62) | 28 (67) | 1 |
| >3 years | 68 (38) | 14 (33) | 2.1 (0.8-3.3) |
| Sex | |||
| Male | 107 (60) | 38 (80) | 1 |
| Female | 71 (40) | 4 (20) | 0.6 (0.1-0.9) |
| Resident | |||
| Junior resident | 144 (80) | 35 (83) | 1 |
| Senior resident | 34 (20) | 7 (17) | 1.8 (0.5-3.3) |
| Speciality | |||
| Pre-clinical | 54 (30) | 12 (28) | 1 |
| Clinical – broad speciality | 103 (58) | 26 (62) | 2.3 (1.1-4.8) |
| Clinical super speciality | 21 (12) | 4 (10) | 3.1 (2.8-3.6) |
| Marital status | |||
| Single | 172 (97) | 10 (24) | 1 |
| Married | 6 (3) | 32 (76) | 2.1 (0.6-4.2) |
Chi-square test, a P<0.05 is significant