Evidence map›Paper›PMID 39468002›Full record

ReviewJournal of racial and ethnic health disparities2025

A Review of the Public Health Literature Examining the Roles of Socioeconomic Status and Race/Ethnicity on Health Outcomes in the United States.

Trenton M White, Luisa N Borrell, Ayman El-Mohandes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Trenton M WhiteDepartment of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York (CUNY), 55 West 125th Street, 530, New York, NY, 10027, USA.
Luisa N BorrellDepartment of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York (CUNY), 55 West 125th Street, 530, New York, NY, 10027, USA. Luisa.Borrell@sph.cuny.edu.ORCID 0000-0002-0560-4853
Ayman El-MohandesDepartment of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York (CUNY), 55 West 125th Street, 530, New York, NY, 10027, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review of reviews examines the role of socioeconomic status (SES) indicators on health inequities among different racial and ethnic groups in the United States (US) between 2019 and 2023. Of the 419 articles, 27 reviews met the inclusion criteria and were aggregated into seven categories: COVID-19 and respiratory pandemic disparities; neighborhoods, gentrification, and food environment; surgical treatments; mental, psychological, and behavioral health; insurance, access to care, and policy impact; cancers; and other topics. The findings revealed a documented impact of SES indicators on racial/ethnic health inequities, with racial/ethnic minority communities, especially Black Americans, consistently showing poor health outcomes associated with lower SES, regardless of the outcome or indicator examined. These findings call attention to the importance of policies and practices that address socioeconomic factors and systemic racial/ethnic inequities affecting the social determinants of health affecting racial/ethnic inequities to improve health outcomes in the US population.

Indexed as

EthnicityHealth Status DisparitiesPublic HealthRacial GroupsSocial ClassCOVID-19HumansSocial Determinants of HealthUnited StatesHealth inequityInequitySocial determinantsSocioeconomic indicators

Identifiers

What OpenQuestion holds

Textmetadata
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.