Evidence map›Paper›PMID 41688658›Full record

ArticleScientific reports2026

Everyday discrimination among middle-aged and older adults in India: a multilevel cross-sectional analysis from the Longitudinal Ageing Study in India.

Ravi Sadhu, Soohyeon Ko, S V Subramanian, Rockli Kim

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ravi SadhuDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Soohyeon KoDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA. svsubram@hsph.harvard.edu.
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea. rocklikim@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Everyday discrimination (ED) has adverse effects on health and well-being. This study highlights understudied trends in the distribution, correlates, and geographic variation of ED among Indian adults aged 45 and above. The analysis of 61,722 participants in the Longitudinal Ageing Study in India (2017-18) revealed significant state/union territory (UT)-level variation. While Nagaland, Tripura, Mizoram, and Lakshadweep had comparatively lower ED scores than the national average, Jammu and Kashmir, Delhi, Chhattisgarh, and Karnataka had higher scores. Additionally, using multilevel negative binomial regression, we found that men, non-married adults, migrant residents, and adults in rural areas had higher ED rates. In general, with increases in education level and household monthly per capita income, there was a reduction in ED rates. Notably, adults with a functional disability (Incident Rate Ratio (IRR) = 1.43 [95% confidence interval: 1.32, 1.55]) and physical or mental impairment (IRR = 2.15 [1.88, 2.45]) had significantly higher ED rates than those without. We also partitioned the geographic variation in ED and found that more geographic variance was explained by the community (village/ward) level than by the state/UT level, accounting for roughly 60% and 40% of the variation across models, respectively. Our findings suggest that community-based contextual factors necessitate further research.

Indexed as

AgingSocial DiscriminationAgedCross-Sectional StudiesFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedAdultsCorrelatesEveryday discriminationGeographic variationIndiaMultilevel

Identifiers

PMID41688658
PMCPMC12992689

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