# Cardiometabolic multimorbidity (CMM) among older adults in India

**Authors:** Manish Barik, Sushree Nibedita Panda

PMC · DOI: 10.1186/s12872-025-05190-w · BMC Cardiovascular Disorders · 2025-10-21

## TL;DR

This study examines the prevalence of multiple heart and metabolic conditions among older adults in India, finding higher rates in women, urban areas, and wealthier groups.

## Contribution

The study provides the first comprehensive analysis of cardiometabolic multimorbidity in older Indian adults using nationally representative data.

## Key findings

- CMM prevalence was higher in females (27.3%) than males (23.04%), especially in the 60–74 age group.
- Urban residence, higher wealth, and education were associated with increased CMM prevalence.
- Regional disparities showed higher CMM in Southern and Western India compared to North-East and Central regions.

## Abstract

Cardiometabolic 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.

We 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).

We 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.

This 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.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015), coronary heart disease (MONDO:0005010), stroke (MONDO:0005098), obesity (MONDO:0011122)

## Full-text entities

- **Diseases:** obesity (MESH:D009765), cognitive decline (MESH:D003072), CMM (MESH:D024821), stroke (MESH:D020521), hypertension (MESH:D006973), heart disease (MESH:D006331), diabetes (MESH:D003920), coronary heart disease (MESH:D003327), hypercholesterolemia (MESH:D006937), COVID-19 (MESH:D000086382)

## Full text

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## References

7 references — full list in the complete paper: https://tomesphere.com/paper/PMC12539034/full.md

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Source: https://tomesphere.com/paper/PMC12539034