Evidence map›Paper›PMID 42531267›Full record

ArticlePLOS global public health2026

Prevalence, patterns and associated behavioural risk factors of multimorbidity in rural India: Cross-sectional analysis from the Andhra Pradesh Children and Parents Study (APCAPS).

Wenbo Song, Judith Lieber, Hirotomo Yamanashi, Mika Matsuzaki, Alex Lewin, Joel Gittelsohn, Matthew Hazell, Santosh Kumar Banjara, Hemant Mahajan, Santhi Bhogadi and 8 more

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Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

18 authors.

Wenbo SongDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-1588-8597
Judith LieberDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Hirotomo YamanashiSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Mika MatsuzakiDepartment of International Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Alex LewinDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-0081-7582
Joel GittelsohnDepartment of International Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Matthew HazellDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Santosh Kumar BanjaraIndian Council of Medical Research - National Institute of Nutrition, Hyderabad, India.ORCID https://orcid.org/0000-0002-0893-9552
Hemant MahajanIndian Council of Medical Research - National Institute of Nutrition, Hyderabad, India.ORCID https://orcid.org/0000-0001-7874-9191
Santhi BhogadiIndian Institute of Public Health, Bengaluru, India.ORCID https://orcid.org/0000-0002-7713-8804
Srivalli AddankiIndian Institute of Public Health, Bengaluru, India.
Om KurmiCentre for Healthcare and Communities, Coventry University, Coventry, United Kingdom.
Gowri IyerIndian Institute of Public Health, Bengaluru, India.
Sureshkumar KamalakannanDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Shilpa SadanandIndian Institute of Public Health, Bengaluru, India.ORCID https://orcid.org/0000-0002-2097-2187
Bharati KulkarniIndian Council of Medical Research - National Institute of Nutrition, Hyderabad, India.
Sanjay KinraDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Poppy A C MallinsonDepartment of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The prevalence of multimorbidity is projected to increase substantially in India. Previous studies have focused on urban populations and older adults, who do not represent the majority of those at risk. We aimed to estimate the prevalence and investigate patterns of multimorbidity in a rural population in India and examine their associations with four common behavioural risk factors (BRFs): daily drinking, tobacco consumption, physical inactivity, and poor sleep. This cross-sectional analysis used data of all adult participants (aged ≥18 years, mean age of 35.5 years) from the third follow-up of Andhra Pradesh Children and Parents Study (APCAPS), 2010-12. We used binary logistic regression to examine the associations between BRFs, ascertained through validated questionnaires, and the prevalence of multimorbidity, defined as having two or more of 13 common chronic conditions. We used latent class analysis (LCA) to investigate common patterns of multimorbidity, followed by multinomial logistic regression to examine their associations with BRFs (categorised as binary), adjusted for age, sex, and household socioeconomic status. Of 5332 adult participants (mean age 35.5 years, standard deviation 13.8 years) included in the analysis, 14.2% had multimorbidity, the prevalence of which increased steeply with age. Current tobacco consumption (adjusted odds ratio (aOR) = 1.23 [95% confidence interval (CI): 1.01-1.50]), physical inactivity (aOR: 1.66 [95% CI: 1.38-1.99]), and poor sleep (aOR: 1.86 [95% CI: 1.35-2.57]) were associated with higher odds of having multimorbidity. We found one multimorbidity pattern of "anaemia and hypertension" (n = 220, 4.1%). Physical inactivity (aOR: 2.07 [95% CI: 1.52-2.82]) was associated with higher odds of having this multimorbidity pattern, with no associations found for the other BRFs. The BRFs identified, notably physical activity, could present important opportunities for intervention to reduce the burden of multimorbidity in India. Longitudinal studies are needed to confirm these relationships.

Identifiers

PMID42531267
PMCPMC13422877

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