Models of logistic regression analysis: assessment of the impact of metabolic syndrome on the coronary plaque prevalence, depending on the correcting variable.

Data are expressed as ORs and corresponding 95% CIs.
OR, odd ratio; CI, confidence interval;
Model 0*—perceived stress score, unadjusted;
Model 1 –metabolic syndrome, unadjusted,
Models 2–5, metabolic syndrome adjusted for: 2—age; 3—age, sex and smoking;
4—sex, smoking and perceived stress score; 5—age, sex, smoking and perceived stress score.
Models of logistic regression analysis: assessment of the impact of metabolic syndrome on the coronary plaque prevalence, depending on the correcting variable.