Evidence map›Paper›PMID 36962723›Full record

ArticlePLOS global public health2022

Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years.

Jonas Prenissl, Jan-Walter De Neve, Nikkil Sudharsanan, Jennifer Manne-Goehler, Viswanathan Mohan, Ashish Awasthi, Dorairaj Prabhakaran, Ambuj Roy, Nikhil Tandon, Justine I Davies and 5 more

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In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Depression and Multimorbidity among Older Indians Residing in Front-Runner, Achiever and Aspirant States: Insight from Longitudinal Ageing Study in India (LASI) - Wave I.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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  13. Multimorbidity Management: A Scoping Review of Interventions and Health Outcomes.International journal of environmental research and public health · 2025
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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

15 authors.

Jonas PrenisslHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-4906-5043
Jan-Walter De NeveHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-0090-8249
Nikkil SudharsananHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-1710-4634
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America.ORCID https://orcid.org/0000-0001-9295-0035
Viswanathan MohanMadras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai, Tamil Nadu, India.
Ashish AwasthiCentre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurugram, Haryana, India.ORCID https://orcid.org/0000-0002-9308-9782
Dorairaj PrabhakaranCentre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurugram, Haryana, India.
Ambuj RoyDepartment of Cardiology, Cardiothoracic Centre, All India Institute of Medical Sciences, New Delhi, India.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
Justine I DaviesInstitute of Applied Health Research, Birmingham University, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0001-6834-1838
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.ORCID https://orcid.org/0000-0002-1531-5983
Till BärnighausenHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.
Lindsay M JaacksCentre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurugram, Haryana, India.ORCID https://orcid.org/0000-0002-7791-5167
Sebastian VollmerDepartment of Economics & Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-7863-0462
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, United States of America.ORCID https://orcid.org/0000-0002-8878-5505

Funding

PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
NIAID NIH HHS T32 AI007433
6 · The paper itself

Abstract

There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle-income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey conducted in 2015-2016 among individuals aged 15 to 49 years. Multimorbidity was defined as having two or more conditions out of five common chronic morbidities in India: anemia, asthma, diabetes, hypertension, and obesity. We disaggregated multimorbidity prevalence by condition, state, rural versus urban areas, district-level wealth, and individual-level sociodemographic characteristics. 712,822 individuals were included in the analysis. The prevalence of multimorbidity was 7·2% (95% CI, 7·1% - 7·4%), and was higher in urban (9·7% [95% CI, 9·4% - 10·1%]) than in rural (5·8% [95% CI, 5·7% - 6·0%]) areas. The three most prevalent morbidity combinations were hypertension with obesity (2·9% [95% CI, 2·8% - 3·1%]), hypertension with anemia (2·2% [95% CI, 2·1%- 2·3%]), and obesity with anemia (1·2% [95% CI, 1·1%- 1·2%]). The age-standardized multimorbidity prevalence varied from 3·4% (95% CI: 3·0% - 3·8%) in Chhattisgarh to 16·9% (95% CI: 13·2% - 21·5%) in Puducherry. Being a woman, being married, not currently smoking, greater household wealth, and living in urban areas were all associated with a higher risk of multimorbidity. Multimorbidity is common among young and middle-aged adults in India. This study can inform screening guidelines for chronic conditions and the targeting of relevant policies and interventions to those most in need.

Identifiers

PMID36962723
PMCPMC10021201

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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.