Evaluation of the Prevalence and Modeling of Social Determinants of Metabolic Syndrome in Shahrekord, Iran

Metabolic syndrome is a biochemical and physiological disorder that can lead to impaired insulin and glucose metabolism, abdominal obesity, dyslipidemia, and hypertension. This study aimed to determine the prevalence and modeling of social determinants of metabolic syndrome in Shahrekord, Iran in 2019.

This descriptive-analytical study was performed on health files of 287 individuals aged above 30 years, who were selected by regular random sampling. The features of 90 individuals with metabolic syndrome were compared to that of 197 healthy people based on the diagnostic criteria for metabolic syndrome. In addition, data analysis was performed in SPSS version 18 using Chi-square, t-test, correlation coefficient, and regression logistics.

In this study, metabolic syndrome was detected in 31% of the population assessed (CI%95: 26-37). The mean age of the subjects with and without the metabolic syndrome was 54.94±12.622 and 13.142±49.86 years, respectively. The results were indicative of a significant relationship between the variables of age, marital status, daily consumption of fruits and vegetables, dairy products, smoking status and physical activity, triglyceride, FBS, HDL, and waist circumference (P<0.05).

According to the results of the study, there was a high prevalence of metabolic syndrome in the study assessed, which showed the necessity of implementing intervention programs. Some of the risk factors for metabolic syndrome can be prevented. In this regard, recommended prevention is changing people’s lifestyles.