Evidence map›Paper›PMID 39030500›Full record

ArticleBMC geriatrics2024

Subjective social status and socio-demographic correlates of perceived discrimination among older adults in India.

T V Sekher, Manacy Pai, T Muhammad

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. 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
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1 · What the graph read from it

What it found

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2 · The registry

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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.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

T V SekherDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID http://orcid.org/0000-0001-9725-002X
Manacy PaiDepartment of Sociology and Criminology, Kent State University, Kent, OH, 44242, USA.ORCID http://orcid.org/0000-0003-3608-3859
T MuhammadCenter for Healthy Aging, The Pennsylvania State University, University Park, PA, 16802, USA. muhammad.iips@gmail.com.ORCID http://orcid.org/0000-0003-1486-7038

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG042778
6 · The paper itself

Abstract

backgroundConsidering India's diversity, marked by differences in caste, class, ethnicity, religion, region, and language, discrimination can take on varying forms across social-structural locations. We examined the association between subjective social status (SSS) and perceived discrimination, and assessed the sociodemographic correlates of perceived discrimination among older persons in India.

methodsData come from the 2017-18 wave 1 of the Longitudinal Aging Study in India (LASI) with a sample of 30,253 adults 60 years or older. SSS was examined using the Macarthur scale with a ladder technique. Perceived discrimination was evaluated with the Everyday Discrimination Scale. Multivariable logistic regression models examined the odds of reporting discrimination by its types and attributions.

results39% of older adults reported low SSS, whereas 7.3% reported high SSS. Older adults with low SSS had significantly higher odds of experiencing some discrimination than those with high SSS. Compared to high-SSS peers, low-SSS individuals attributed age, gender, caste, financial, and health status as reasons for discrimination. Older women attributed gender as a reason for discrimination. Caste was reported as a reason for discrimination by rural but not urban dwellers. Relative to northerners, those from southern India reported age, financial, and health statuses as reasons for discrimination.

conclusionsThat low-SSS older adults reported age, gender, caste, financial status, and health status as reasons for discrimination and that this association persisted after considering objective indicators of socioeconomic status (SES) is suggestive of SSS as independently consequential for perceived discrimination. These findings are useful for care providers and practitioners as they encourage older patients -- especially those with low SSS who may feel stigmatized -- to seek care, comply with care regimen, and engage in behaviors that protect and promote health.

Indexed as

Social StatusAgedAged, 80 and overFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedSocial ClassSocioeconomic FactorsAgingIndiaOlder adultsPerceived discriminationSubjective social status

Identifiers

PMID39030500
PMCPMC11265011

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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.