Evidence map›Paper›PMID 35655207›Full record

ArticleBMC public health2022

Burden, patterns, and impact of multimorbidity in North India: findings from a rural population-based study.

Priti Gupta, Shivani A Patel, Hanspria Sharma, Prashant Jarhyan, Rakshit Sharma, Dorairaj Prabhakaran, Nikhil Tandon, Sailesh Mohan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Priti GuptaCentre for Chronic Disease Control, New Delhi, India.
Shivani A PatelEmory University, Atlanta, GA, USA.
Hanspria SharmaAll India Institute of Medical Sciences, New Delhi, India.
Prashant JarhyanPublic Health Foundation of India, Gurgaon, Haryana, India.
Rakshit SharmaAll India Institute of Medical Sciences, New Delhi, India.
Dorairaj PrabhakaranPublic Health Foundation of India, Gurgaon, Haryana, India.
Nikhil TandonAll India Institute of Medical Sciences, New Delhi, India.
Sailesh MohanAll India Institute of Medical Sciences, New Delhi, India. smohan@phfi.org.
All India Institute of Medical Sciences · INPublic Health Foundation of India · INCentre for Chronic Disease Control · INEmory University · US

Funding

Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Integrated Tracking, Referral, and Algorithmic Management (I-TREC) System for Hypertension and DiabetesU01HL138635 · NHLBI · ALL-INDIA INSTITUTE OF MEDICAL SCIENCES · PI TANDON, NIKHIL · 2017 to 2021
$1.3M
FIC NIH HHS D43 TW009337NHLBI NIH HHS U01 HL138635Wellcome Trust
6 · The paper itself

Abstract

aimTo estimate the prevalence, socio-demographic determinants, common disease combinations, and health impact of multimorbidity among a young rural population.

methodsWe conducted a cross-sectional survey among participants aged ≥30 years in rural Punjab, North India, from Jan 2019 to April 2019. Multimorbidity was defined as the coexistence of ≥two conditions using a 14-condition tool validated in India. We also calculated a multimorbidity-weighted index (MWI), which provides a weight to each disease based on its impact on physical functioning. Logistic regression was conducted to evaluate the association with sociodemographic variables, mental health (PHQ-9), physical functioning (ADL scale), and self-rated health (SRH).

resultsWe analyzed data from 3213 adults [Mean age 51.5 (±13), 54% women]. Prevalence of single chronic condition, multimorbidity, and MWI was 28.6, 18% and - 1.9 respectively. Age, higher wealth index and ever use alcohol were significantly associated with multimorbidity. Overall, 2.8% of respondents had limited physical functioning, 2.1% had depression, and 61.5% reported low SRH. Poorer health outcomes were more prevalent among the elderly, women, less educated, and those having lower wealth index and multimorbidity, were found to be significantly associated with poor health outcomes.

conclusionsThe burden of multimorbidity was high in this young rural population, which portends significant adverse effects on their health and quality of life. The Indian health system should be reconfigured to address this emerging health priority holistically, by adopting a more integrated and sustainable model of care.

Indexed as

MultimorbidityRural PopulationAdultAgedCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedQuality of LifeActivities of daily livingBurdenDepressionIndiaMental healthMultimorbidityMultiple chronic conditionsMultiple long term conditionsSelf-rated heath

Identifiers

PMID35655207
PMCPMC9159928
OpenAlexW4281625071

What OpenQuestion holds

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LicenceCC BY
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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.