Evidence map›Paper›PMID 41158847›Full record

ArticleGlobal epidemiology2025

Epidemiology of multimorbidity among indigenous adults: Insights from a large-scale population survey of 53 different indigenous groups in East India.

Kavitha A K, Jaya Singh Kshatri, Marjan van den Akker, Mohammad Akhtar Hussain, Haimanti Bhattacharya, Sanghamitra Pati

Abstract read
In one paragraph

Article in Global epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Asthma and Multimorbidity Amongst Ethnic Minority Groups in High Income Countries.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
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  2. Article
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

6 authors.

Kavitha A KICMR- Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Jaya Singh KshatriICMR- Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Marjan van den AkkerInstitute of General Practice, Goethe University, Frankfurt am Main, Germany.
Mohammad Akhtar HussainBarwon South West Public Health Unit, Barwon Health, Geelong, Victoria, Australia.
Haimanti BhattacharyaICMR- Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Sanghamitra PatiICMR- Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Indigenous populations in India face a growing burden of multimorbidity, yet data on its prevalence and patterns remain scarce. This study estimated the prevalence, determinants, and co-occurrence of multimorbidity among Indigenous adults using data from the Odisha Tribal Family Health Survey (OTFHS). Methods: The analysis included 19,430 adults (≥18 years) from 9711 households across 14 districts, representing 53 Indigenous groups, including 13 Particularly Vulnerable Tribal Groups (PVTGs). Multimorbidity-defined as having ≥2 chronic conditions-was assessed through self-reports and laboratory results. Prevalence estimates used descriptive statistics; associated factors were identified via ordinal logistic regression, and co-occurrence patterns of chronic conditions were visualized using a matrix-based plot that displays the frequency and overlap of conditions (UpSet plot). Results: The weighted prevalence of multimorbidity was 21.7 % (95 % CI: 20.5 %, 22.9 %), increasing from 3.8 % in those aged 18-25 to 48.2 % in those 60 and older. Regression analysis showed that older age, male sex, and tobacco and alcohol use were significantly associated with higher odds of multimorbidity. Hypertension was the most prevalent condition, often co-occurring with kidney disease, liver disease, or back pain. Conclusion: These findings highlight the urgent need for age- and sex-sensitive, integrated health interventions tailored to Indigenous communities.

Indexed as

AdultsChronic conditionsIndigenous populationMultimorbidityPattersPrevalence

Identifiers

PMID41158847
PMCPMC12556326

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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.