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Table 3 Logistic regression model using BMI class (categorical variable) as a predictor for hypercholesterolemia status (binary outcome), after adjusting for sociodemographic and other variables (n = 1019)

From: The prevalence of hypercholesterolemia and associated risk factors in Al-Kharj population, Saudi Arabia: a cross-sectional survey

Hypercholesterolemia status B SE of B P value Exp (B)/odds ratio 95% CI for odds ratio
Lower Upper
BMI class (non-obese)  − 0.889 0.329 0.007 0.411 0.216 0.783
BMI class (overweight) 1.319 0.973 0.046 1.727 1.58 1.914
Age 0.010 0.016 0.512 1.010 0.980 1.042
Sex (female)  − 0.275 0.258 0.026 0.759 0.458 1.259
Marital status (married)  − 0.883 0.268 0.001 0.413 0.245 0.698
Education level 0.447 0.672 0.506 1.563 0.419 5.833
Job (not working) 1.394 0.684 0.042 4.030 2.054 5.415
Job (civilian) 1.217 0.346 0.000 3.377 1.713 6.656
Diabetes (yes) 0.042 0.412 0.920 1.042 0.465 2.335
Smoking status (no)  − 0.140 0.312 0.653 0.869 0.471 1.602
Smoking status (ex-smoker) 0.189 0.524 0.718 1.209 0.432 3.377
  1. B = beta coefficient, SE of B = standard error of beta coefficient