Evidence map›Paper›PMID 42211713›Full record

Observational studyFrontiers in public health2026

Cross-sectional observational study on prevalence and pattern of multimorbidity and its impact on geriatric outpatients in a south Indian tertiary hospital.

Shilpa Avarebeel, Michael Vassallo, H Basavanagowdappa, Pratibha Pereira, Deepthi Puttegowda, Murali Krishna, Stavelin Abhinandithe K, Ramith Ramu, Mudassar Shahid

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shilpa AvarebeelDepartment of Geriatrics, JSS Medical College & Hospital, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Michael VassalloUniversity Hospitals Dorset, Royal Bournemouth Hospital, Bournemouth University, Bournemouth, United Kingdom.
H BasavanagowdappaDepartment of Medicine, JSS Medical College & Hospital, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Pratibha PereiraDepartment of Geriatrics, JSS Medical College & Hospital, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Deepthi PuttegowdaDepartment of Biotechnology & Bioinformatics, JSS Academy of Higher Education & Research, School of Life Sciences, Mysuru, Karnataka, India.
Murali KrishnaInstitute of Public Health, Bangalore, Karnataka, India.
Stavelin Abhinandithe KDivision of Medical Statistics, School of Life Sciences, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Ramith RamuDepartment of Biotechnology & Bioinformatics, JSS Academy of Higher Education & Research, School of Life Sciences, Mysuru, Karnataka, India.
Mudassar ShahidDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global aging population is increasing rapidly, with a significant rise anticipated in individuals aged 60 years and above over the coming decades. This demographic transition is expected to amplify the burden of chronic diseases and multimorbidity, especially in low- and middle-income countries like India. Methods: This observational cross-sectional study was conducted from November 2022 to November 2024 at a tertiary care hospital in South India. A total of 541 older adults (mean age 71.56 ± 7.06 years; 280 men and 261 women) attending a geriatric outpatient clinic were enrolled. A Comprehensive Geriatric Assessment (CGA) was performed to capture socio-demographic, lifestyle, and health-related variables. Hierarchical cluster analysis was utilized to identify patterns of multimorbidity and associated factors. Results: Among 541 participants, 66.17% had multimorbidity, defined as the presence of two or more chronic conditions, with a mean of 2.39 ± 1.71 chronic conditions per participant. Hypertension and type 2 diabetes mellitus were the most prevalent conditions, while malignant diseases were observed in only a small proportion of participants. Polypharmacy was observed in 13.9% of the study population and was significantly more frequent among men. Hierarchical cluster analysis identified two major multimorbidity clusters, one characterized predominantly by cardiometabolic and degenerative conditions and another associated with sociodemographic and lifestyle factors. Statistically significant associations were observed between multimorbidity and age, sex, education, income, and dietary patterns. Conclusion: This study highlights a high burden of multimorbidity among geriatric outpatients in South India, with hypertension and diabetes being the most prevalent. Clear gender-specific patterns and strong associations with socio-demographic and dietary factors were identified. The findings underscore the importance of individualized, gender-sensitive, and nutrition-focused strategies in the management of multimorbidity among older adults.

Indexed as

MultimorbidityOutpatientsAgedAged, 80 and overChronic DiseaseCluster AnalysisCross-Sectional StudiesFemaleGeriatric AssessmentHumansIndiaMaleMiddle AgedPrevalenceTertiary Care Centerschronic diseasescluster analysisgeriatricsmultimorbiditysocio-demographic factors

Identifiers

PMID42211713
PMCPMC13212225

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.