Evidence map›Paper›PMID 40378177›Full record

ArticlePloS one2025

Modeling the spectrum and determinants of multimorbidity risk among older adults in India.

Ajay Kumar, Bharti Singh

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ajay KumarDepartment of Biostatistics and Epidemiology, International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0001-7485-9059
Bharti SinghDepartment of Survey Research and Data Analytics, International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia is passing through a parallel phase of demographic and epidemiological transition coupled with the shifting burden of multimorbidity. Unhealthy ageing and escalating morbidity burden have been identified as key drivers of this shifting multimorbidity risk among older adults in India. This study aims to assess the distribution of morbidities and multimorbidity, provide new estimates of multimorbidity risk by socio-economic and demographic factors and further evaluate the multimorbidity count risk conditioned on leading factors.

methodsThis study used the nationally representative Longitudinal Ageing Study in India (LASI), Wave - 1, 2017-18, data of individuals aged 45 years and above. First, we assessed the relative proportional share of morbidities and compositions of multimorbidity counts over age. Second, we applied the Random Forest (RF) model to estimate the age-specific risk of multimorbidity susceptibility associated with socio-economic and demographic factors over age. Finally, conditional plots were constructed to assess the distributional composition of the leading factors affecting multimorbidity counts.

resultsThe prevalence of multimorbidity was 43.20%. Eye disorders, followed by cardiovascular disease (CVDs), had the highest proportional share over age. Endocrine diseases, Gastrointestinal Conditions, and Infectious diseases showed a concordant decreasing proportional share in later age. The relative share of five or more multimorbidity counts increased significantly with age. The median expected risk of multimorbidity was significantly higher in females (66 years) than in males (71 years). The study also provides empirical evidence that individuals with higher levels of education, obesity, currently working, and poor childhood health were more prone to higher risk of multimorbidity at an early age. Furthermore, obesity was significantly associated with early multimorbidity onset and led to a pronounced escalation of complex multimorbidity progression, particularly in females.

conclusionsCollective public health interventions are crucial to address early multimorbidity onset and burden disparities, to promote healthier ageing, and to address etiological factors.

Indexed as

MultimorbidityAgedAged, 80 and overCardiovascular DiseasesFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedPrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID40378177
PMCPMC12083837

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