Familial Clustering of Metabolic Syndrome and Its Risk Factors in Tehran Lipid and Glucose Study

Abstract

Background & objectives: In this study, we aimed to determine the extent of possible genetic influence on cardio-metabolic risk factors and to evaluate the familial aggregation of metabolic syndrome (MetS) in a Tehranian population. Methods: In a cross-sectional observational study, the anthropometry, blood pressure andbiochemical measurements were examined in each member of 566 nuclear families. The role of risk factors in MetS and the Pearson partial correlation between MetS and lipid related factors were calculated. Results: The prevalence of MetS among the mothers and girls was 78.4 and 12.9%, respectively. Grandmothers had the highest incidence of atherosclerotic risk factors. Four factors were found which explained 77.7% of the overall variance. Recurrence risk ratio among siblings was 5.61 (95% confidence interval [CI]: 3.15-9.97). The adjusted odds ratio (OR) of proband’s MetS status was 1.33 (95% CI: 1.06–1.67) and adjusted OR for the four factors to predict MetS were all significant with the obesity factor having the highest risk (OR: 7.50, CI: 5.91–9.52) followed by dyslipidemia/hyperglycemia factor (OR: 4.86, CI: 4.03–5.87), and blood pressure factor (OR: 4.20, CI: 3.51-5.02). Conclusion: The present findings confirm the idea of familial aggregation and the recurrence risk ratio in MetS traits. Sibling correlations were higher than other relatives indicating the high genetic factors of these quantitative components in which a high risk of MetS (two-fold) was found

Keywords

• Familial Clustering
• Metabolic Syndrome
• Tehran Lipid and Glucose Study