Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784908426195763200 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10021201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT prenissljonas patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT denevejanwalter patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT sudharsanannikkil patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT mannegoehlerjennifer patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT mohanviswanathan patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT awasthiashish patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT prabhakarandorairaj patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT royambuj patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT tandonnikhil patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT daviesjustinei patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT atunrifat patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT barnighausentill patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT jaackslindsaym patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT vollmersebastian patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years AT geldsetzerpascal patternsofmultimorbidityinindiaanationallyrepresentativecrosssectionalstudyofindividualsaged15to49years |