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

Jonas Prenissl, Jan-Walter De Neve , Nikkil Sudharsanan, Jennifer Manne-Goehler, Viswanathan Mohan, Ashish Awasthi, Dorairaj Prabhakaran , Ambuj Roy, Nikhil Tandon, Justine Davies, Rifat Atun, Till Bärnighausen, Lindsay M Jaacks, Sebastian Vollmer, Pascal Geldsetzer

Research output: Contribution to journalArticlepeer-review

111 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article numbere0000587
Number of pages16
JournalPLOS Global Public Health
Volume2
Issue number8
DOIs
Publication statusPublished - 17 Aug 2022

Fingerprint

Dive into the research topics of 'Patterns of multimorbidity in India: a nationally representative cross-sectional study of individuals aged 15 to 49 years'. Together they form a unique fingerprint.

Cite this