Evidence map›Paper›PMID 36401189›Full record

ArticleBMC public health2022

Wealth disparity and frailty among community-dwelling older adults in India.

Priya Saravanakumar, Arun Balachandran, T Muhammad, Drishti Drishti, Shobhit Srivastava

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 12 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

5 authors at 3 institutions in 3 countries.

Priya SaravanakumarFaculty of Health, School of Nursing and Midwifery, University of Technology Sydney, Building 10, Level 7, 235 Jones St, Ultimo, NSW, 2007, Australia.
Arun BalachandranDepartment of Sociology, University of Maryland, College Park, MD, 20742, USA.ORCID 0000-0001-6856-7140
T MuhammadInternational Institute for Population Sciences, Mumbai, 400088, India.ORCID 0000-0003-1486-7038
Drishti DrishtiInternational Institute for Population Sciences, Mumbai, 400088, India.
Shobhit SrivastavaDepartment of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, 400088, India. shobhitsrivastava889@gmail.com.ORCID 0000-0002-7138-4916
International Institute for Population Sciences · INUniversity of Maryland, College Park · USUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality.

methodsData were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017-18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality.

resultsThe prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty.

conclusionsResults suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background.

Indexed as

FrailtyAgedEducational StatusHealth Status DisparitiesHumansIndependent LivingPrevalenceFrailtyLASIOlder adultsSocioeconomic inequality

Identifiers

PMID36401189
PMCPMC9675126
OpenAlexW4309561668

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.