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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| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
August 17, 2022
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| In: |
PLoS global public health
Year: 2022, Jahrgang: 2, Heft: 8, Pages: 1-15 |
| ISSN: | 2767-3375 |
| DOI: | 10.1371/journal.pgph.0000587 |
| Online-Zugang: | 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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| Verfasserangaben: | 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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| 520 | |a 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. | ||
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