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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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Main Authors: Prenißl, Jonas (Author) , De Neve, Jan-Walter (Author) , Sudharsanan, Nikkil (Author) , Manne-Goehler, Jennifer (Author) , Mohan, Viswanathan (Author) , Awasthi, Ashish (Author) , Prabhakaran, Dorairaj (Author) , Roy, Ambuj (Author) , Tandon, Nikhil (Author) , Davies, Justine I. (Author) , Atun, Rifat (Author) , Bärnighausen, Till (Author) , Jaacks, Lindsay M. (Author) , Vollmer, Sebastian (Author) , Geldsetzer, Pascal (Author)
Format: Article (Journal)
Language:English
Published: August 17, 2022
In: PLoS global public health
Year: 2022, Volume: 2, Issue: 8, Pages: 1-15
ISSN:2767-3375
DOI:10.1371/journal.pgph.0000587
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1371/journal.pgph.0000587
Verlag, kostenfrei, Volltext: https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0000587
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Author Notes:Jonas Prenissl, Jan-Walter De Neve, Nikkil Sudharsanan, Jennifer Manne-Goehler, Viswanathan Mohan, Ashish Awasthi, Dorairaj Prabhakaran, Ambuj Roy, Nikhil Tandon, Justine I. Davies, Rifat Atun, Till Bärnighausen, Lindsay M. Jaacks, Sebastian Vollmer, Pascal Geldsetzer
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Summary: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.
Item Description:Gesehen am 18.08.2022
Physical Description:Online Resource
ISSN:2767-3375
DOI:10.1371/journal.pgph.0000587

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