Evidence map›Paper›PMID 42574623›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Historical slavery predicts contemporary disparities in mortality between Black and White Americans.

Manuel J Galvan, B Keith Payne, Keely A Muscatell, Julian M Rucker, Paschal Sheeran

Abstract readHistorical Article
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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
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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

The trial behind it

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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

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

5 authors.

Manuel J GalvanDepartment of Psychology, University of California Berkeley, Berkeley, CA 94720.ORCID 0000-0003-1879-3275
B Keith PayneDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0001-9651-5903
Keely A MuscatellDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0002-7893-5565
Julian M RuckerDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Paschal SheeranDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0001-7449-4590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We tested whether contemporary Black-White mortality disparities in the United States may be rooted in the historical legacy of slavery and perpetuated through structural inequalities. Linking county-level data on the proportion of enslaved people in 1860 with structural inequality indicators from 1990 to 2000 and mortality outcomes from 2010 to 2020, we find that historical slavery is robustly associated with contemporary racial mortality gaps. Our model estimates ~22 additional deaths per 100,000 among Black Americans relative to White Americans for every 10% increase in the 1860 enslaved population. Path analysis models showed that segregation, economic inequality, and racial disparities in poverty and education statistically mediated this effect. We test the plausibility of a causal pathway using an instrumental variable analysis and explore the robustness of our theoretical model in multiple supplemental analyses. Our analyses held even after controlling for a comprehensive suite of historical and contemporary covariates. These findings are consistent with a model wherein slavery's legacy continues to shape present-day Black-White racial health disparities via enduring structural inequities.

Indexed as

Black or African AmericanEnslavementHealth Status DisparitiesMortalityWhiteHistory, 19th CenturyHistory, 20th CenturyHistory, 21st CenturyHumansSocioeconomic Disparities in HealthUnited Stateshealth disparitiesmortalitypsychologyracismstructural inequality

Identifiers

PMID42574623
PMCPMC13486587

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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.