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Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India

Metabolic Syndrome (MetSyn) is a predictor of cardiovascular disease (CVD). About a third of urban Indians suffer from MetSyn. This study examined the prevalence of MetSyn among women living in urban slums. A cross-sectional survey was carried out between October 2017 and May 2018 among a non-probab...

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Autores principales: Krupp, Karl, Rao, Arathi P., Pope, Benjamin, Ravi, Kavitha, Khan, Anisa, Srinivas, Vijaya, Madhivanan, Purnima, Srinivas, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328303/
https://www.ncbi.nlm.nih.gov/pubmed/37418350
http://dx.doi.org/10.1371/journal.pgph.0000846
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author Krupp, Karl
Rao, Arathi P.
Pope, Benjamin
Ravi, Kavitha
Khan, Anisa
Srinivas, Vijaya
Madhivanan, Purnima
Srinivas, Arun
author_facet Krupp, Karl
Rao, Arathi P.
Pope, Benjamin
Ravi, Kavitha
Khan, Anisa
Srinivas, Vijaya
Madhivanan, Purnima
Srinivas, Arun
author_sort Krupp, Karl
collection PubMed
description Metabolic Syndrome (MetSyn) is a predictor of cardiovascular disease (CVD). About a third of urban Indians suffer from MetSyn. This study examined the prevalence of MetSyn among women living in urban slums. A cross-sectional survey was carried out between October 2017 and May 2018 among a non-probability sample of slum-dwelling women, 40–64 years of age, in six government-designated slums in Mysore, India. Data were collected on demographics, diet, behavioral risks, anthropometry, blood pressure, serum glucose, hemoglobin A1c, and serum lipids. The study used a definition of MetSyn from the International Diabetes Federation Task Force on Epidemiology and Prevention with an HbA1c measure for average blood glucose. About two-fifths of the 607 participants had MetSyn (41.5%; 95% CI: 37.7–45.5). Of those, 40.9% met three criteria, 38.1% four, and 25.0%, all five criteria. Elevated BP was the most prevalent MetSyn factor (79.6%), followed by increased waist circumference (54.5%), low HDL (50.1%), elevated Hb A1c (37.1%), and elevated triglycerides (36.1%). Odds for MetSyn were 1.52 times greater for those who were 50–59 years of age compared with those 40–49 years of age (adjusted odds ratio[AOR]:1.52; 95% CI:0.96–2.40). Women with mobility issues had 1.29 times higher odds of MetSyn than those without it (AOR: 0.76, 95% CI: 0.96, 1.75). Housewives had 1.29 times greater odds of MetSyn (AOR: 1.29, 95% CI: 1.00, 1.67). There is a high prevalence of MetSyn among urban slum-dwelling women in Mysore. There is a need for interventions aimed at reducing CVD risk factors in this population.
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spelling pubmed-103283032023-07-08 Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India Krupp, Karl Rao, Arathi P. Pope, Benjamin Ravi, Kavitha Khan, Anisa Srinivas, Vijaya Madhivanan, Purnima Srinivas, Arun PLOS Glob Public Health Research Article Metabolic Syndrome (MetSyn) is a predictor of cardiovascular disease (CVD). About a third of urban Indians suffer from MetSyn. This study examined the prevalence of MetSyn among women living in urban slums. A cross-sectional survey was carried out between October 2017 and May 2018 among a non-probability sample of slum-dwelling women, 40–64 years of age, in six government-designated slums in Mysore, India. Data were collected on demographics, diet, behavioral risks, anthropometry, blood pressure, serum glucose, hemoglobin A1c, and serum lipids. The study used a definition of MetSyn from the International Diabetes Federation Task Force on Epidemiology and Prevention with an HbA1c measure for average blood glucose. About two-fifths of the 607 participants had MetSyn (41.5%; 95% CI: 37.7–45.5). Of those, 40.9% met three criteria, 38.1% four, and 25.0%, all five criteria. Elevated BP was the most prevalent MetSyn factor (79.6%), followed by increased waist circumference (54.5%), low HDL (50.1%), elevated Hb A1c (37.1%), and elevated triglycerides (36.1%). Odds for MetSyn were 1.52 times greater for those who were 50–59 years of age compared with those 40–49 years of age (adjusted odds ratio[AOR]:1.52; 95% CI:0.96–2.40). Women with mobility issues had 1.29 times higher odds of MetSyn than those without it (AOR: 0.76, 95% CI: 0.96, 1.75). Housewives had 1.29 times greater odds of MetSyn (AOR: 1.29, 95% CI: 1.00, 1.67). There is a high prevalence of MetSyn among urban slum-dwelling women in Mysore. There is a need for interventions aimed at reducing CVD risk factors in this population. Public Library of Science 2023-07-07 /pmc/articles/PMC10328303/ /pubmed/37418350 http://dx.doi.org/10.1371/journal.pgph.0000846 Text en © 2023 Krupp et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Krupp, Karl
Rao, Arathi P.
Pope, Benjamin
Ravi, Kavitha
Khan, Anisa
Srinivas, Vijaya
Madhivanan, Purnima
Srinivas, Arun
Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title_full Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title_fullStr Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title_full_unstemmed Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title_short Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India
title_sort prevalence and correlates of metabolic syndrome among women living in urban slums, mysore, india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328303/
https://www.ncbi.nlm.nih.gov/pubmed/37418350
http://dx.doi.org/10.1371/journal.pgph.0000846
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