Evidence map›Paper›PMID 41120881›Full record

ArticleBMC cardiovascular disorders2025

Cardiometabolic multimorbidity (CMM) among older adults in India.

Manish Barik, Sushree Nibedita Panda

Abstract read
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Article in BMC cardiovascular disorders, 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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0cells of the map it votes in
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.

Manish Barik *IMPACT Global Consulting, New Delhi, India. manishbarik2.bbsr@gmail.com.ORCID 0000-0001-7582-1047
Sushree Nibedita Panda *The George Institute for Global Health, Hyderabad, India.ORCID 0000-0003-0085-8878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic multimorbidity (CMM), the co-occurrence of two or more cardiometabolic conditions, poses a growing health concern as populations age. Linked to adverse outcomes like cognitive decline, poor COVID-19 prognosis, and higher mortality, its prevalence is rising due to shared risk factors among conditions such as diabetes, heart disease, and hypertension. While CMM is well-studied in high-income countries, data from low- and middle-income countries, particularly from India, is limited. This study investigates the prevalence and correlates of CMM among older Indian adults.

methodsWe analyzed data from 59,764 participants aged 45 years and older from the Longitudinal Ageing Study in India (LASI), wave 1, conducted from 2017 to 2019. CMM was defined as the co-occurrence of two or more of the following conditions: hypertension, diabetes, coronary heart disease, stroke, obesity, and hypercholesterolemia. Descriptive statistics were employed to calculate the prevalence of CMM with 95% confidence intervals to predict uncertainty. Multivariable logistic regression was used to examine the associations between CMM and various socio-demographic correlates, with results reported as adjusted odds ratios (AOR).

resultsWe observed higher CMM prevalence among females 27.3% (95% CI: 26.8%-27.8%) compared to males 23.04% (95% CI: 22.5%-23.5%), particularly in the 60-74 age group. CMM was more prevalent in urban areas, wealthier socioeconomic groups, and those with higher education. Increased odds of CMM were found among males from the OBC and other castes and females from SC, OBC, and "Others" castes, while ST males had lower odds. Significant correlates for both genders included not working, urban residence, and higher wealth. Regionally, CMM rates were highest in the Southern and Western regions, and lowest in the North-East and Central regions of India.

conclusionThis study reveals a rising burden of CMM among middle-aged and older adults in India, with higher prevalence in females, urban residents, and wealthier groups. Regional and caste disparities highlight the need for targeted interventions. Effective management of CMM requires early screening and comprehensive primary care, especially as India ages and develops.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionObesityAgedAged, 80 and overAge FactorsCardiometabolic Risk FactorsFemaleHumansHypercholesterolemiaIndiaLongitudinal StudiesMaleMiddle AgedMultimorbidityAgeingCardiometabolic multimorbidityLASI: indiaOlder adults

Identifiers

PMID41120881
PMCPMC12539034

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