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

Prenissl, J and Nave, J W D and Sudharsanan, N and Goehler, J M and Mohan, V and Awasthi, A and Prabhakaran, D and Roy, A and Tandon, N and Davies, J I and Atun, R and Bärnighausen, T and Jaacks, L M and Vollmer, S and Geldsetzer, P (2022) Patterns of multimorbidity in India nationally representative cross-sectional study of individuals aged 15 to 49 years. PLOS GLOBAL PUBLIC HEALTH, 2 (8). e0000587.

[img]PDF
998Kb

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.

Item Type:Article
Official URL/DOI:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021...
Uncontrolled Keywords:cross-sectional study
Subjects:Diabetes Epidemiology
Diabetes
Divisions:Department of Epidemiology
Department of Diabetology
ID Code:1383
Deposited By:surendar radha
Deposited On:20 Jun 2023 15:07
Last Modified:20 Jun 2023 15:07

Repository Staff Only: item control page