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Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years

There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle-income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey co...

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Autores principales: Prenissl, Jonas, De Neve, Jan-Walter, Sudharsanan, Nikkil, Manne-Goehler, Jennifer, Mohan, Viswanathan, Awasthi, Ashish, Prabhakaran, Dorairaj, Roy, Ambuj, Tandon, Nikhil, Davies, Justine I., Atun, Rifat, Bärnighausen, Till, Jaacks, Lindsay M., Vollmer, Sebastian, Geldsetzer, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021201/
https://www.ncbi.nlm.nih.gov/pubmed/36962723
http://dx.doi.org/10.1371/journal.pgph.0000587
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author Prenissl, Jonas
De Neve, Jan-Walter
Sudharsanan, Nikkil
Manne-Goehler, Jennifer
Mohan, Viswanathan
Awasthi, Ashish
Prabhakaran, Dorairaj
Roy, Ambuj
Tandon, Nikhil
Davies, Justine I.
Atun, Rifat
Bärnighausen, Till
Jaacks, Lindsay M.
Vollmer, Sebastian
Geldsetzer, Pascal
author_facet Prenissl, Jonas
De Neve, Jan-Walter
Sudharsanan, Nikkil
Manne-Goehler, Jennifer
Mohan, Viswanathan
Awasthi, Ashish
Prabhakaran, Dorairaj
Roy, Ambuj
Tandon, Nikhil
Davies, Justine I.
Atun, Rifat
Bärnighausen, Till
Jaacks, Lindsay M.
Vollmer, Sebastian
Geldsetzer, Pascal
author_sort Prenissl, Jonas
collection PubMed
description There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle-income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey conducted in 2015–2016 among individuals aged 15 to 49 years. Multimorbidity was defined as having two or more conditions out of five common chronic morbidities in India: anemia, asthma, diabetes, hypertension, and obesity. We disaggregated multimorbidity prevalence by condition, state, rural versus urban areas, district-level wealth, and individual-level sociodemographic characteristics. 712,822 individuals were included in the analysis. The prevalence of multimorbidity was 7·2% (95% CI, 7·1% - 7·4%), and was higher in urban (9·7% [95% CI, 9·4% - 10·1%]) than in rural (5·8% [95% CI, 5·7% - 6·0%]) areas. The three most prevalent morbidity combinations were hypertension with obesity (2·9% [95% CI, 2·8% - 3·1%]), hypertension with anemia (2·2% [95% CI, 2·1%– 2·3%]), and obesity with anemia (1·2% [95% CI, 1·1%– 1·2%]). The age-standardized multimorbidity prevalence varied from 3·4% (95% CI: 3·0% - 3·8%) in Chhattisgarh to 16·9% (95% CI: 13·2% - 21·5%) in Puducherry. Being a woman, being married, not currently smoking, greater household wealth, and living in urban areas were all associated with a higher risk of multimorbidity. Multimorbidity is common among young and middle-aged adults in India. This study can inform screening guidelines for chronic conditions and the targeting of relevant policies and interventions to those most in need.
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spelling pubmed-100212012023-03-17 Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years Prenissl, Jonas De Neve, Jan-Walter Sudharsanan, Nikkil Manne-Goehler, Jennifer Mohan, Viswanathan Awasthi, Ashish Prabhakaran, Dorairaj Roy, Ambuj Tandon, Nikhil Davies, Justine I. Atun, Rifat Bärnighausen, Till Jaacks, Lindsay M. Vollmer, Sebastian Geldsetzer, Pascal PLOS Glob Public Health Research Article There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle-income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey conducted in 2015–2016 among individuals aged 15 to 49 years. Multimorbidity was defined as having two or more conditions out of five common chronic morbidities in India: anemia, asthma, diabetes, hypertension, and obesity. We disaggregated multimorbidity prevalence by condition, state, rural versus urban areas, district-level wealth, and individual-level sociodemographic characteristics. 712,822 individuals were included in the analysis. The prevalence of multimorbidity was 7·2% (95% CI, 7·1% - 7·4%), and was higher in urban (9·7% [95% CI, 9·4% - 10·1%]) than in rural (5·8% [95% CI, 5·7% - 6·0%]) areas. The three most prevalent morbidity combinations were hypertension with obesity (2·9% [95% CI, 2·8% - 3·1%]), hypertension with anemia (2·2% [95% CI, 2·1%– 2·3%]), and obesity with anemia (1·2% [95% CI, 1·1%– 1·2%]). The age-standardized multimorbidity prevalence varied from 3·4% (95% CI: 3·0% - 3·8%) in Chhattisgarh to 16·9% (95% CI: 13·2% - 21·5%) in Puducherry. Being a woman, being married, not currently smoking, greater household wealth, and living in urban areas were all associated with a higher risk of multimorbidity. Multimorbidity is common among young and middle-aged adults in India. This study can inform screening guidelines for chronic conditions and the targeting of relevant policies and interventions to those most in need. Public Library of Science 2022-08-17 /pmc/articles/PMC10021201/ /pubmed/36962723 http://dx.doi.org/10.1371/journal.pgph.0000587 Text en © 2022 Prenissl 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
Prenissl, Jonas
De Neve, Jan-Walter
Sudharsanan, Nikkil
Manne-Goehler, Jennifer
Mohan, Viswanathan
Awasthi, Ashish
Prabhakaran, Dorairaj
Roy, Ambuj
Tandon, Nikhil
Davies, Justine I.
Atun, Rifat
Bärnighausen, Till
Jaacks, Lindsay M.
Vollmer, Sebastian
Geldsetzer, Pascal
Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title_full Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title_fullStr Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title_full_unstemmed Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title_short Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years
title_sort patterns of multimorbidity in india: a nationally representative cross-sectional study of individuals aged 15 to 49 years
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021201/
https://www.ncbi.nlm.nih.gov/pubmed/36962723
http://dx.doi.org/10.1371/journal.pgph.0000587
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