Evidence map›Paper›PMID 39802804›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Associations of perceived discrimination with health outcomes and health disparities in the

Vincent Lam, Sonali Gupta, I King Jordan, Leonardo Mariño-Ramírez

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Vincent LamNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA.
Sonali GuptaNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA.
I King JordanIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia, USA.ORCID 0000-0003-4996-2203
Leonardo Mariño-RamírezNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-5716-8512

Funding

Genomics and Biobank Research for Health EquityZIAMD000018 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI MARIÑO-RAMÍREZ, LEONARDO · 2020 to 2025
$2.7M
Intramural NIH HHS ZIA MD000018
6 · The paper itself

Abstract

Objective: The goal of this study was to investigate the association of perceived discrimination with health outcomes and disparities. Materials and Methods: The study cohort consists of 60,180 participants from the four largest SIRE groups in the Results: The Black SIRE group has the greatest median PDI, followed by the Asian, Hispanic, and White groups. The Black SIRE group shows the greatest number of diseases with elevated risk relative to the White reference group, followed by the Hispanic and Asian groups. PDI was found to be positively and significantly associated with 489 out of 1,755 (27.86%) diseases. 'Mental Disorders' is the disease category with the greatest proportion of diseases positively and significantly associated with PDI: 59 out of 72 (81.94%) diseases. Mediation analysis showed that PDI mediates 69 out of 351 (19.66%) Black-White disease disparities. Discussion: Perceived discrimination is significantly associated with risk for numerous diseases and mediates Black-White disease disparities in the Conclusion: This work highlights the role of discrimination as an important social determinant of health and provides a means by which it can be quantified and modeled on the

Indexed as

discriminationdiseasehealth disparitiesmental healthmodeling

Identifiers

PMID39802804
PMCPMC11722447

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.