Table 9. Model 3 multiple logistic regression analysis for burnout diagnosis.
| Ind. variable | Coefficient | Standard Error | Wald Statistic | p | OR | 95%CI |
|---|---|---|---|---|---|---|
| Job satisfaction | -0.02 | 0.34 | 0.03 | 0.95 | 0.98 | (0.50–1.91) |
| HADS anxiety | 0.34 | 0.23 | 2.22 | 0.13 | 1.41 | (0.89–2.20) |
| Job control | 0.052 | 0.05 | 1.06 | 0.30 | 1.05 | (0.95–1.16) |
| Job demand | -0.19 | 0.14 | 1.84 | 0.17 | 0.83 | (0.69–1.13) |
| Insomnia | 0.96 | 0.47 | 4.17 | 0.04 | 0.2.6 | (1.11–6.5) |
| HbA1C | 5.42 | 1.40 | 14.9 | <0.001 | 226 | (14.4–3325) |
Model 4 = model 1 + Insomnia + HbA1C. Pearson Chi-square = 166 (P = 0.03), Likelihood Ratio Test Statistic: 153.9 (P = <0.001)