Table 2 Logistic regression model using BMI (continuous variable) as a predictor for hypercholesterolemia status (binary outcome), after adjusting for sociodemographic and other variables (n = 1019)
Hypercholesterolemia status | B | SE of B | PÂ value | Exp (B)/odds ratio | 95% CI for odds ratio | |
|---|---|---|---|---|---|---|
Lower | Upper | |||||
Body Mass Index (BMI) | 2.039 | 0.015 | 0.008 | 1.640 | 1.610 | 1.671 |
Age | 0.012 | 0.016 | 0.452 | 1.012 | 0.981 | 1.044 |
Sex (female) |  − 0.288 | 0.258 | 0.029 | 0.760 | 0.452 | 1.248 |
Marital status (married) |  − 0.926 | 0.263 | 0.0001 | 0.396 | 0.236 | 0.664 |
Education level | 0.379 | 0.671 | 0.572 | 1.461 | 0.392 | 5.440 |
Job (not working) | 1.383 | 0.681 | 0.042 | 3.988 | 2.051 | 5.139 |
Job (civilian) | 1.219 | 0.345 | 0.0001 | 3.385 | 1.722 | 6.652 |
Diabetes (yes) | 0.026 | 0.408 | 0.950 | 1.026 | 0.461 | 2.284 |
Smoking status (no) |  − 0.170 | 0.311 | 0.584 | 0.843 | 0.459 | 1.551 |
Smoking status (ex-smoker) | 0.188 | 0.521 | 0.719 | 1.207 | 0.434 | 3.352 |