Abstract
Introduction: Metabolic syndrome (MetS) is a global public health issue with notable regional variations. This study aimed to determine the prevalence and determinant factors of metabolic syndrome in a large population-based cohort in the North-West of Iran.
Methods: This cross-sectional study involved 14,906 adult participants aged 35 to 70 years from the Azar-cohort study. Data on sociodemographic and lifestyle characteristics, and medication history were collected through face-to-face interviews by trained interviewers. Biochemical laboratory tests and medical examinations were conducted. Population of the Shabestar County who met the inclusion criteria and had informed consent were included. MetS was defined by the National Cholesterol Education Program’s Adult Treatment Panel III report (ATP III) criteria. To assess the determinant factors we applied logistic regression analysis.
Results: The prevalence of metabolic syndrome was 34%. On average, the MetS group was significantly older and included more women. Waist-to-hip ratio (W/H), was significantly higher in MetS group than in the non-MetS group (0.94 vs. 0.88, P<0.001). In univariate analysis, subjects with very high wealth score index (WSI) quintile had lower odds of MetS compared to the very low quintile (OR=0.79, 95% CI: 0.71-0.88). After adjustment for potential confounding factors, the body mass index (BMI), physical activity level, and smoking status were significantly related to the MetS.
Conclusion: It seems that MetS is relatively high in the Azar-Cohort population, which calls for interventional programs to reduce the burden and future complications. Regarding the non-modifiable factors, it seems vital to tailor interventions to high-risk groups.