Prevalence and correlates of metabolic syndrome among rural women in Mysore, India.

Indian Heart J

Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA; Public Health Research Institute of India, Mysore, India; Division of Infectious Diseases, College of Medicine, University of Arizona, Tucson, USA; Department of Family & Community Medicine, College of Medicine, University of Arizona, Tucson, USA.

Published: June 2021

Aims: Metabolic Syndrome (MetS) is a strong predictor of Coronary Heart Disease (CHD). Studies in urban India have found about one-third of Indians suffer from MetS. Less is known about the prevalence of MetS in rural areas, where 70% of the population reside. This study examined the prevalence of Metabolic Syndrome in a population of rural women in India.

Methods: Data were gathered in a community-based study of 500 rural and tribal women residing in the Mysore district, between the age of 30-59 years. The study used the WHO STEPS approach, in which information on demographics and behavioral risk factors were collected. Along with anthropometric measurements, blood pressure, blood glucose, lipids were measured. A harmonized definition of MetS recommended by International Diabetes Federation Task Force on Epidemiology and Prevention was used in this study.

Results: Three out of five study participants were found to have MetS (47.1%, n = 223). Of those, 56.5% met 3 of the 5 criteria, 32.2% met 4 criteria, and 11.2% met all 5 criteria. Among the entire sample, low HDL was the most prevalent criterion (88.4%), followed by elevated glucose (57.9%), elevated triglycerides (49.3%), elevated BP (41.5%), and increased waist circumference (15.3%). In this sample, women with METS were generally older (p < 0.001), housewives (p = 0.001), that consumed salty highly processed foods (p = 0.020) and had low physical activity (p = 0.015).

Conclusions: This study showed a high prevalence of MetS in rural women. There is a compelling need for interventions aimed at reducing CHD risk factors in this population.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772584PMC
http://dx.doi.org/10.1016/j.ihj.2020.09.015DOI Listing

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