Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study.

• Main Authors: Sitotaw Kerie, Melak Menberu, Mathewos Geneto
• Format: Article
• Language: English
• Published: Public Library of Science (PLoS) 2019-01-01
• Series: PLoS ONE
• Online Access: https://doi.org/10.1371/journal.pone.0210969

INTRODUCTION:Globally, it is estimated that around 20-25% adult population has metabolic syndrome. Individuals who have metabolic syndrome are up to five times more susceptible for chronic diseases than those who have no metabolic syndrome. In Ethiopia there is no sufficient information regarding the magnitude and factors of metabolic syndrome. The aim of this study is to assess prevalence and associated factors of metabolic syndrome among residents of Mizan-Aman town, South West, Ethiopia. METHODS:The community based cross-sectional study was held at Mizan-Aman town residents. Systematic random sampling was employed to select each household and lottery method was used to select one individual from the household. Data were cleaned, coded and entered by EPI-INFO version 3.5.4 and were transported to SPSS version 20 for further analysis. To indicate the strength of association, odds ratios (OR) and 95% confidence intervals (95% CI) were used. RESULTS:In this study from a total of 558 respondents 534 were completed the interview correctly, which gives a response rate of 95.7%. The overall prevalence of metabolic syndrome was 9.6%. Multivariate logistic regression revealed that physical inactivity [AOR = 2.61, 95% CI (1.22, 5.58)], age from 18 to 28 years [AOR = 0.36, 95% CI (0.14, 0.90)], being male [AOR = 0.46, 95% CI (0.22, 0.96)] and educational status with cannot write and read [AOR = 0.15, 95% CI (0.04,0.53)], from grade 1 to 8 [AOR = 0. 17, (0.11,0.55)], from grade 9 to12 [AOR = 0.11, (0.03, 0.38)] and from diploma to degree [AOR = 0. 13, (0.01, 0.36)] were significantly associated with metabolic syndrome. CONCLUSION:The prevalence of metabolic syndrome in this study was found to be high. Age, physical activity, educational status and sex were significantly associated with metabolic syndrome. Physical activity was found to be the means of metabolic syndrome prevention.