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Prevalence and Correlates of Metabolic Syndrome Among Rural Women in Mysore, India

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Journal Indian Heart J
Publisher Elsevier
Date 2020 Dec 28
PMID 33357649
Citations 3
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Abstract

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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References
1.
Lee L, Sanders R . Metabolic syndrome. Pediatr Rev. 2012; 33(10):459-66. PMC: 4109314. DOI: 10.1542/pir.33-10-459. View

2.
Sawant A, Mankeshwar R, Shah S, Raghavan R, Dhongde G, Raje H . Prevalence of metabolic syndrome in urban India. Cholesterol. 2011; 2011:920983. PMC: 3114375. DOI: 10.1155/2011/920983. View

3.
Harikrishnan S, Sarma S, Sanjay G, Jeemon P, Krishnan M, Venugopal K . Prevalence of metabolic syndrome and its risk factors in Kerala, South India: Analysis of a community based cross-sectional study. PLoS One. 2018; 13(3):e0192372. PMC: 5870937. DOI: 10.1371/journal.pone.0192372. View

4.
Ram C, Farmer J . Metabolic syndrome in South Asians. J Clin Hypertens (Greenwich). 2012; 14(8):561-5. PMC: 8816454. DOI: 10.1111/j.1751-7176.2012.00652.x. View

5.
Kim S, So W . Prevalence and correlates of metabolic syndrome and its components in elderly Korean adults. Exp Gerontol. 2015; 84:107-112. DOI: 10.1016/j.exger.2015.09.012. View