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

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.

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Journal
PLOS Global Public Health
Published
2026-07-30
DOI
https://doi.org/10.1371/journal.pgph.0006694
Primary Topic
Chronic Disease Management Strategies
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article
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article

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

Joel Gittelsohn, Santhi Bhogadi, Santosh Kumar Banjara, Mika Matsuzaki et al.
PLOS Global Public Health
Chronic Disease Management Strategies
article

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

Joel Gittelsohn, Santhi Bhogadi, Santosh Kumar Banjara, Mika Matsuzaki, Shilpa Sadanand, Wenbo Song, Matthew Hazell, Hemant Mahajan, Alex Lewin, Hirotomo Yamanashi, Judith Lieber, Sanjay Kinra, Srivalli Addanki, Sureshkumar Kamalakannan, Om Kurmi, Poppy A. C. Mallinson, Gowri Iyer, Bharati Kulkarni
article en

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.

PLOS Global Public HealthVol. 6(7)
University of Nagasaki (JP), Johns Hopkins University (US), Northumbria University (GB), Indian Council of Medical Research (IN), London School of Hygiene & Tropical Medicine (GB), Indian Institute of Public Health Gandhinagar (IN), Nagasaki University (JP), National Institute of Nutrition (IN), Coventry University (GB), London School of Economics and Political Science (GB)
Wellcome Trust, Nagasaki University, National Institute for Health and Care Research, European Commission, Medical Research Council, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 9%
Chronic Disease Management Strategies
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