Evidence map›Paper›PMID 39872620›Full record

ArticleSSM - population health2025

What role does wealth play in the racial health gap in the United States? Examining differences among African Americans, Latinos, and non-Hispanic Whites.

Daniel F López-Cevallos, David W Rothwell

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Daniel F López-CevallosDepartment of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts Amherst, USA.
David W RothwellSchool of Human Development and Family Sciences, Oregon State University, Corvallis, OR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wealth resources has received little attention when studying how socioeconomic status shapes health outcomes. In the United States (USA), there is a growing body of evidence acknowledging a widening racial/ethnic wealth gap. However, little is known about wealth's role in shaping health inequity. Hence, our study examined the role wealth plays in the racial health gap across and within three racial/ethnic groups (African Americans - AA; Latinos -L; non-Hispanic Whites - NHW). We used nine waves of the nationally representative Survey of Consumer Finances (1995-2019). Trends over time were estimated with survey-weighted descriptive statistics. A series of linear probability regression models predicted fair/poor health based on overall and within-group wealth position, along with sociodemographic variables. Regression models revealed that both overall and within-racial-group wealth position matter when examining health outcomes. In fully adjusted models, racial health gaps practically disappeared for overall wealth position. While overall wealth position moderates the race-health path similarly for AA and NHW, the probability of fair/poof health for high-wealth Latinos is the same as medium-wealth AA and NHW. When considering within-group wealth position, AA and L have similar levels of fair/poor health (and significantly higher than NHW). Moreover, within-NHW wealth position matters for health at each level of wealth, while within-AA and within-L improvements are only evident at the high-wealth level. Our study provides evidence that wealth shapes health inequities differently when considering the overall wealth and within-racial group wealth. Policies to reduce wealth-health gaps should consider low and middle-wealth AA, L, and NHW.

Indexed as

Health inequitiesRace/ethnicitySelf-rated healthSocioeconomic statusWealth

Identifiers

PMID39872620
PMCPMC11770555

What OpenQuestion holds

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LicenceCC BY-NC
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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.