Table 5.
Multiple logistic regression modelling of factors associated with obesity among HCWs.
| Variables | Regression Coefficient B | Adjusted OR (95% CI) | Wald Statistics (df) | p-Values |
|---|---|---|---|---|
| Job Category | ||||
| Doctors a | 1 | |||
| Nurses | 0.649 | 1.91 (1.45, 2.53) | 20.92 (1) | <0.001 |
| Others b | 0.488 | 1.63 (1.23, 2.16) | 11.53 (1) | 0.001 |
| Comorbid c | ||||
| No | 1 | |||
| Yes | 1.234 | 3.43 (2.71, 4.35) | 104.35 (1) | <0.001 |
a House officer, medical officer, specialist. b Pharmacists, occupational therapist, medical assistant, physiotherapist, health assistant, medical laboratory technologist, dietitian, nutritionist; c Diabetes mellitus, hypertension, heart disease, asthma. Constant = −1.956. The enter method was applied to identify the final model. No multicollinearity and no interaction were noted between the variables. Hosmer–Lemeshow test: p-value = 0.722. Classification table, 79.0% correctly classified. The area under the Receiver Operating Characteristics (ROC) curve was 58.7%.