Table 7.
Multinomial logistic regression showing significant predictors of each BMI class using odds ratio and corresponding 95% confidence intervala
| Overweight | ||||
|---|---|---|---|---|
| Variable | Odds Ratio (Exp (B)) | P-value | 95% CI | |
| Lower | Upper bound | |||
| Intercept | – | – | – | – |
| Cholesterol | 1.419 | .001 | 1.153 | 1.746 |
| Single/unmarried | 1.367 | .000 | 1.236 | 1.570 |
| Job status (civilian worker) | 1.607 | .049 | 1.002 | 2.577 |
| Class I obese | ||||
| Intercept | – | – | – | – |
| Age | 1.045 | .020 | 1.007 | 1.084 |
| Cholesterol | 1.606 | .000 | 1.269 | 2.034 |
| Single/unmarried | 1.542 | .021 | 1.323 | 1.911 |
| Job status (civilian worker) | 1.303 | .035 | 1.100 | 1.919 |
| Class II/III obese | ||||
| Intercept | – | – | – | – |
| Age | 1.050 | .015 | 1.010 | 1.093 |
| Cholesterol | 1.575 | .001 | 1.207 | 2.056 |
| Job status (civilian worker) | 2.018 | .042 | 1.025 | 3.976 |
aThe reference category is the non-obese (< 25 kg/m2)