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Prevalence of metabolic syndrome among adolescents in India: a population-based study

BACKGROUND: In India, the prevalence of overweight among adolescents is on the rise, setting the stage for an increase in metabolic syndrome (MS). This paper presents the national prevalence of MS in adolescents in India. METHODS: A nationally representative data of adolescents (10–19 years) from th...

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Autores principales: Ramesh, Sowmya, Abraham, Ransi Ann, Sarna, Avina, Sachdev, Harshpal S., Porwal, Akash, Khan, Nizamuddin, Acharya, Rajib, Agrawal, Praween K., Ashraf, Sana, Ramakrishnan, Lakshmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594972/
https://www.ncbi.nlm.nih.gov/pubmed/36280821
http://dx.doi.org/10.1186/s12902-022-01163-8
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author Ramesh, Sowmya
Abraham, Ransi Ann
Sarna, Avina
Sachdev, Harshpal S.
Porwal, Akash
Khan, Nizamuddin
Acharya, Rajib
Agrawal, Praween K.
Ashraf, Sana
Ramakrishnan, Lakshmi
author_facet Ramesh, Sowmya
Abraham, Ransi Ann
Sarna, Avina
Sachdev, Harshpal S.
Porwal, Akash
Khan, Nizamuddin
Acharya, Rajib
Agrawal, Praween K.
Ashraf, Sana
Ramakrishnan, Lakshmi
author_sort Ramesh, Sowmya
collection PubMed
description BACKGROUND: In India, the prevalence of overweight among adolescents is on the rise, setting the stage for an increase in metabolic syndrome (MS). This paper presents the national prevalence of MS in adolescents in India. METHODS: A nationally representative data of adolescents (10–19 years) from the Comprehensive National Nutrition Survey was used. MS was defined based on the NCEP–ATP III criteria for adolescents. Bivariate analysis was used to report socio-demographic differentials in prevalence and to assess interstate variability. Multivariate logistic regression model was constructed to measure the association between socio-demographic characteristics and prevalence of MS. Census data from 2011 was projected to 2017 to calculate burden. RESULTS: The prevalence of MS was 5.2% among adolescents. 11.9%, 15.4%, 26.0%, 31.9% and 3.7% had central obesity, high blood pressure, hypertriglyceridemia, low HDL-cholesterol and high fasting glucose, respectively. The prevalence was higher among males (5.7% vs. 4.7%, adjusted odds ratio (AOR): 1.3, 95% confidence interval [CI]: 1.0, 1.6), those residing in urban areas (7.9% vs 4.2%, AOR: 1.4, 95% CI: 1.1, 1.8), and from wealthier households as compared to their counterparts (8.3% vs. 2.4%, AOR: 3.4, 95% CI: 2.1, 5.5). There was wide interstate variability in the prevalence of MS (0.5% – 16.5%). In 2017, 14.2 million adolescents had MS in India. CONCLUSIONS: The prevalence of MS among adolescents in India is low and clustered in urban areas and richer households. Early prevention interventions promoting a healthy lifestyle, especially in high prevalence areas, are needed to keep MS from becoming a public health issue.
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spelling pubmed-95949722022-10-26 Prevalence of metabolic syndrome among adolescents in India: a population-based study Ramesh, Sowmya Abraham, Ransi Ann Sarna, Avina Sachdev, Harshpal S. Porwal, Akash Khan, Nizamuddin Acharya, Rajib Agrawal, Praween K. Ashraf, Sana Ramakrishnan, Lakshmi BMC Endocr Disord Research BACKGROUND: In India, the prevalence of overweight among adolescents is on the rise, setting the stage for an increase in metabolic syndrome (MS). This paper presents the national prevalence of MS in adolescents in India. METHODS: A nationally representative data of adolescents (10–19 years) from the Comprehensive National Nutrition Survey was used. MS was defined based on the NCEP–ATP III criteria for adolescents. Bivariate analysis was used to report socio-demographic differentials in prevalence and to assess interstate variability. Multivariate logistic regression model was constructed to measure the association between socio-demographic characteristics and prevalence of MS. Census data from 2011 was projected to 2017 to calculate burden. RESULTS: The prevalence of MS was 5.2% among adolescents. 11.9%, 15.4%, 26.0%, 31.9% and 3.7% had central obesity, high blood pressure, hypertriglyceridemia, low HDL-cholesterol and high fasting glucose, respectively. The prevalence was higher among males (5.7% vs. 4.7%, adjusted odds ratio (AOR): 1.3, 95% confidence interval [CI]: 1.0, 1.6), those residing in urban areas (7.9% vs 4.2%, AOR: 1.4, 95% CI: 1.1, 1.8), and from wealthier households as compared to their counterparts (8.3% vs. 2.4%, AOR: 3.4, 95% CI: 2.1, 5.5). There was wide interstate variability in the prevalence of MS (0.5% – 16.5%). In 2017, 14.2 million adolescents had MS in India. CONCLUSIONS: The prevalence of MS among adolescents in India is low and clustered in urban areas and richer households. Early prevention interventions promoting a healthy lifestyle, especially in high prevalence areas, are needed to keep MS from becoming a public health issue. BioMed Central 2022-10-24 /pmc/articles/PMC9594972/ /pubmed/36280821 http://dx.doi.org/10.1186/s12902-022-01163-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ramesh, Sowmya
Abraham, Ransi Ann
Sarna, Avina
Sachdev, Harshpal S.
Porwal, Akash
Khan, Nizamuddin
Acharya, Rajib
Agrawal, Praween K.
Ashraf, Sana
Ramakrishnan, Lakshmi
Prevalence of metabolic syndrome among adolescents in India: a population-based study
title Prevalence of metabolic syndrome among adolescents in India: a population-based study
title_full Prevalence of metabolic syndrome among adolescents in India: a population-based study
title_fullStr Prevalence of metabolic syndrome among adolescents in India: a population-based study
title_full_unstemmed Prevalence of metabolic syndrome among adolescents in India: a population-based study
title_short Prevalence of metabolic syndrome among adolescents in India: a population-based study
title_sort prevalence of metabolic syndrome among adolescents in india: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594972/
https://www.ncbi.nlm.nih.gov/pubmed/36280821
http://dx.doi.org/10.1186/s12902-022-01163-8
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