Effect of age on the phenotype of metabolic syndrome in developing country


1 Department of Metabolic Syndrome, Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

2 Department of Cardiology, Cardiac Rehabilitation Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran

3 Department of Biostatistics, Skin Disease and Leishmaniasis Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

4 Hypertension Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran

5 Nutrition Research, Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

6 Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran


Background: This study aimed to determine how age groups effect on the phenotype of metabolic syndrome (MetS) among Iranian population.
Materials and Methods: This cross-sectional study was conducted as part of Isfahan Healthy Heart Program. Height, weight, waist circumference, and blood pressure were measured by trained health-care professionals. MetS was defined as having three or more of the National Cholesterol Education Program III criteria. The relation between different age groups and different phenotypes of MetS was examined using the multinomial logistic regression.
Results: We found low high-density lipoprotein-cholesterol (HDL-c) was the most common feature, followed by hypertriglyceridemia (HTG), abdominal obesity (ABO), hypertension (HTN), and high fasting blood glucose in decreasing order of prevalence. The most prevalent combination of MetS components was hypertrigeceridemia, low HDL-c and ABO (50.7%) in all subjects and especially in younger age group (63.2%). In elder age group, the most prevalent three components combination was HTG, Low HDL-c and HTN (43.9%). Logistic regression analysis demonstrated that elder subjects were at approximately 12 times higher risk of having the combination HTG, ABO, low HDL-c, and HTN (P < 0.001) compared to the middle age subjects who had a lower risk for the same combination; (2 [1.49-3.49]) (P < 0.001).
Conclusion: This study provides a nationally representative estimate of the prevalence of different phenotypes of MetS across different age groups. Regarding different phenotypes of MetS in various age groups need to have important implications in the clinical management of these patients and the implementation of public health.


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