Document Type : Original Article
Authors
1
Department of Health Education and Health Promotion, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran
2
Health Promotion Research Center, Iran University of Medical Sciences, Tehran, Iran
3
Department of Health Education and Health Promotion, School of Health, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
4
Nutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran AND Department of Nutrition, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran
10.48307/iahsj.2024.451983.1174
Abstract
Objectives: In this study, the predictors of Metabolic Syndrome (MetS) in a sample of administrative employees of Rafsanjan University of Medical Sciences, Rafsanjan, Iran were assessed.
Methods: This cross-sectional (descriptive-analytical type) study was conducted between July and September 2022. It included 171 employees from the administrative departments of Rafsanjan University of Medical Sciences who did not have academic education in biomedical fields but met other inclusion criteria. The study collected data on demographic information, Body Mass Index (BMI), waist circumference, Blood Pressure (BP), Fast Blood Sugar (FBS), Total Cholesterol (TC), Triglyceride (TG), Low- Density Lipoprotein-Cholesterol (LDL-C) and High-Density Lipoprotein-Cholesterol (HDL-C).
Results: The mean age of 171 employees (88 men, 51.46%) was 42.7±8.2 years, ranging from 25 to 64 years old. 12.9% (n=22) of the employees were found to be suffering from MetS. The study found that participants with MetS had significantly higher means of age (p=0.005), FBS (p<0.001), TG (p<0.001), systolic (p=0.007) and diastolic BP (p=0.002), waist circumference (p<0.001) and BMI (p<0.001) compared to the participants without MetS. However, there was no significant difference in the serum levels of LDL-C (p=0.742), HDL-C (p=0.333), and TC (p=0.415) between the two groups. The binary logistic regression test showed that four variables, including BMI, waist circumference, FBS, and age, increased the odds for MetS in the study participants.
Conclusion: Given the significant predictors of MetS, it is crucial to develop and execute interventions that promote a healthy lifestyle in administrative employees of Rafsanjan University of Medical Sciences. In this population, it is recommended to prioritize interventions that aim to reduce waist circumference and BMI, as well as to control FBS.
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