Patterns of multimorbidity in India

• Verfasst von: Prenißl, Jonas [VerfasserIn]
• Verfasst von: De Neve, Jan-Walter [VerfasserIn]
• Verfasst von: Sudharsanan, Nikkil [VerfasserIn]
• Verfasst von: Manne-Goehler, Jennifer [VerfasserIn]
• Verfasst von: Mohan, Viswanathan [VerfasserIn]
• Verfasst von: Awasthi, Ashish [VerfasserIn]
• Verfasst von: Prabhakaran, Dorairaj [VerfasserIn]
• Verfasst von: Roy, Ambuj [VerfasserIn]
• Verfasst von: Tandon, Nikhil [VerfasserIn]
• Verfasst von: Davies, Justine I. [VerfasserIn]
• Verfasst von: Atun, Rifat [VerfasserIn]
• Verfasst von: Bärnighausen, Till [VerfasserIn]
• Verfasst von: Jaacks, Lindsay M. [VerfasserIn]
• Verfasst von: Vollmer, Sebastian [VerfasserIn]
• Verfasst von: Geldsetzer, Pascal [VerfasserIn]
• Titel: Patterns of multimorbidity in India
• Titelzusatz: A nationally representative cross-sectional study of individuals aged 15 to 49 years
• Verf.angabe: 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
• E-Jahr: 2022
• Jahr: August 17, 2022
• Umfang: 16 S.
• Fussnoten: Gesehen am 18.08.2022
• Titel Quelle: Enthalten in: PLoS global public health
• Ort Quelle: San Francisco, CA : PLoS, 2021
• Jahr Quelle: 2022
• Band/Heft Quelle: 2(2022), 8, Artikel-ID e0000587, Seite 1-15
• ISSN Quelle: 2767-3375
• DOI: doi:10.1371/journal.pgph.0000587
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Anemia
• Sach-SW: Asthma
• Sach-SW: Diabetes mellitus
• Sach-SW: HIV
• Sach-SW: India
• Sach-SW: Morbidity
• Sach-SW: Schools
• Sach-SW: Urban areas
• K10plus-PPN: 1814665153

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.