Evidence map›Paper›PMID 39817048›Full record

ArticlePreventive medicine reports2025

Sociodemographic disparities in everyday discrimination among a national sample of adults in the United States, 2023.

Delvon T Mattingly, Osayande Agbonlahor, Joy L Hart

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

3 authors.

Delvon T MattinglyCenter for Health, Engagement, and Transformation, College of Medicine, University of Kentucky, Lexington, KY, USA.
Osayande AgbonlahorDepartment of Preventive Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Joy L HartDepartment of Communication, College of Arts and Sciences, University of Louisville, Louisville, KY, USA.

Funding

NIDA NIH HHS L60 DA061514
6 · The paper itself

Abstract

Objective: Discrimination is a social determinant contributing to health inequities in the United States (US). This study investigated the prevalence of, and sociodemographic disparities in, perceived everyday discrimination among a national sample of US adults. Methods: We used data from the 2023 National Health Interview Survey ( Results: Over half of US adults experienced any discrimination (55.8 %), and the most common form of perceived discrimination was being treated with less respect (45.2 %). Adults who were younger (aged 18-44), female, non-Hispanic Black, sexual minority, some college-educated, low income, or urban-living generally reported higher discrimination. For example, among the sample, non-Hispanic Black (vs. non-Hispanic White) (OR: 1.61, 95 % CI: 1.44-1.81) and sexual minority (vs. heterosexual) (OR: 2.48, 95 % CI: 2.12-2.90) adults had the highest odds of any discrimination and EDS scores (β: 1.38 (95 % CI: 1.17-1.59) and β: 1.65 (95 % CI: 1.35-1.94), respectively). The odds of perceived discrimination varied in magnitude by specific experience; for example, sexual minority adults had the highest odds of being threatened or harassed (OR: 2.93, 95 % CI: 2.52-3.42). Conclusions: Perceived everyday discrimination is prevalent and differentially affects adults, especially members of marginalized and underserved populations. Understanding discrimination patterns will benefit public health and medical efforts aimed at mitigating exposure and deleterious health consequences.

Indexed as

Disadvantaged groupsDiscriminationHealth disparitiesHealth inequitiesMarginalized groupsSocial inequalities

Identifiers

PMID39817048
PMCPMC11732684

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.