Evidence map›Paper›PMID 41069972›Full record

ArticleBMJ public health2025

Multimorbidity in India: an analysis of prevalence and patterns of chronicity of diseases among older adults using Study on global AGEing and adult health (SAGE) Wave 2.

Ananya Anurakta Pattanaik, Rikat Ul Ain Hashmi, Rutuparna Sibani Dandsena, Smiteerekha Sahoo, Priyanka Verma, Shishirendu Ghosal, Sushmita Kerketta, Srikanta Kanungo, Sanghamitra Pati

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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.

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

3 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
    Review
  2. Article
  3. 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

9 authors.

Ananya Anurakta PattanaikIndian Council of Medical Research, Bhubaneswar, Odisha, India.ORCID https://orcid.org/0009-0008-2342-5868
Rikat Ul Ain HashmiIndian Council of Medical Research, Bhubaneswar, Odisha, India.ORCID https://orcid.org/0009-0000-1480-2491
Rutuparna Sibani DandsenaIndian Council of Medical Research, Bhubaneswar, Odisha, India.ORCID https://orcid.org/0009-0003-4181-1045
Smiteerekha SahooIndian Council of Medical Research, Bhubaneswar, Odisha, India.ORCID https://orcid.org/0009-0005-6071-7294
Priyanka VermaIndian Council of Medical Research, Bhubaneswar, Odisha, India.
Shishirendu GhosalIndian Council of Medical Research, Bhubaneswar, Odisha, India.
Sushmita KerkettaIndian Council of Medical Research, Bhubaneswar, Odisha, India.
Srikanta KanungoIndian Council of Medical Research, Bhubaneswar, Odisha, India.
Sanghamitra PatiIndian Council of Medical Research, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity, the coexistence of two or more chronic non-communicable diseases, poses a significant health challenge in India, particularly among older adults. Factors such as population ageing, lifestyle changes and urbanisation have led to an increasing burden of chronic diseases. Methods: Data from the Study on Global Ageing and Adult Health Wave 2, which surveyed 11 818 individuals in India, were utilised, focusing on those aged 50 and above. The analysis included 7118 participants after excluding those with missing or incorrect data. The prevalence and patterns of multimorbidity were assessed by examining the co-occurrence of eight chronic conditions: arthritis, stroke, angina, diabetes, chronic lung disease, asthma, depression and hypertension. Statistical analysis was performed using STATA software to determine the frequency and chronicity of these conditions. Results: The prevalence of multimorbidity was 45.14%, with hypertension (22%) and arthritis (19%) being the most common conditions. Hypertension also showed the highest chronicity, often being the first diagnosed condition. Significant patterns of dyads and triads were identified, with hypertension frequently co-occurring with other chronic conditions. Discussion: This study provides a comprehensive analysis of multimorbidity among older adults in India, revealing a high prevalence of conditions like hypertension and arthritis. The findings highlight the substantial burden of multimorbidity, with significant implications for healthcare management. The study underscores the need for integrated, patient-centred care models to manage multimorbidity effectively. These insights are crucial for developing targeted interventions and health policies aimed at improving care coordination and outcomes for individuals with multiple chronic conditions in India.

Indexed as

Cardiovascular DiseasesComorbidityPublic Health

Identifiers

PMID41069972
PMCPMC12506212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.