Evidence map›Paper›PMID 40790768›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Exploring the intersectional dynamics of co-morbidities and risk factors among the older population in India.

Kashfi Nigar, Praveen Kumar Pathak

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Article in Archives of public health = Archives belges de sante publique, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Kashfi NigarDepartment of Geography, Jamia Millia Islamia University, Jamia Nagar, Okhla, New Delhi, 110025, India. kashfinigar@gmail.com.
Praveen Kumar PathakDepartment of Centre for the Study of Regional Development, School of Social Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the share of the older population is set to rise from 8% in 2011 to 16% by 2036 in India, the increasing burden of NCDs and the increasing co-morbidities among the older population need greater policy focus to ensure a healthier aging process. Given the structural shifts in the age structure of the population and decreasing family sizes, contextual factors take an even more important role in shaping the health status of the elderly. Therefore, the present study aims to study the intersectional dynamics of demographic, socioeconomic, lifestyle, and contextual factors on the prevalence of co-morbidities among the older population.

methodsThe data from the Indian Human Development Survey, 2012 (IHDS-II), were used to analyze the prevalence of co-morbidity and its confounding factors in India. Univariate analysis for sample distribution, bivariate analysis for the distribution of disease by different predictors with a chi-square test, and logistic regression analyses were used to assess the adjusted association of multimorbidity with different background variables.

resultsOverall, around 7% of the older population in India suffers from co-morbidities. We observe that the prevalence of co-morbidities is significantly higher among non-poor (People belonging to a non-poor household category based on the consumption quintiles) older females living alone, non-poor older females living jointly, and among non-poor older males living alone. The odds of having comorbidity among female non-poor and living alone are higher as compared to the female poor living alone. When all the co-variates are included in a single model, we observe that older adults living in nuclear families and residing in the North, Central, and Southern regions of India along with other factors discussed above show higher odds of having co-morbidities.

conclusionsThe research findings suggest that directing increased investments towards addressing multiple health issues in the elderly population, with a particular focus on non-poor women and men living alone, could be a more effective strategy in combating multimorbidity among older individuals in India.

Indexed as

ComorbidityContextual factorsIHDSIntersectionalOlder population

Identifiers

PMID40790768
PMCPMC12337515

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