Evidence map›Paper›PMID 41467379›Full record

ArticleJournal of the American Heart Association2026

State-Level Structural Racism and Incident Coronary Heart Disease.

Monika M Safford, Tyson Brown, Joanna Bryan, Todd M Brown, Laura Pinheiro

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Monika M SaffordDivision of General Internal Medicine Weill Medical College of Cornell University New York NY USA.ORCID 0000-0002-3060-0563
Tyson BrownDepartments of Sociology and Medicine Duke University Durham NC USA.ORCID 0000-0002-0979-0622
Joanna BryanDivision of General Internal Medicine Weill Medical College of Cornell University New York NY USA.
Todd M BrownDivision of Cardiovascular Disease University of Alabama at Birmingham Heersink School of Medicine Birmingham AL USA.
Laura PinheiroDivision of General Internal Medicine Weill Medical College of Cornell University New York NY USA.ORCID 0000-0002-6920-8526

Funding

REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Understanding Cohort Effects on Stroke, VCID, and Cognition After Major Epidemiologic TransitionsR01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARY CUSHMAN, VIRGINIA J. HOWARD · 2001 to 2026
$8.8M
REasons for Geographic And Racial Differences in Stroke-Myocardial Infarction-4 (REGARDS-MI-4)R01HL165452 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2022 to 2025
$8.3M
NHLBI NIH HHS R01 HL080477NHLBI NIH HHS R01 HL165452NINDS NIH HHS R01 NS041588
6 · The paper itself

Abstract

backgroundBlack Americans have greater coronary heart disease (CHD) burden than White Americans, disparities that are largely socially determined. Discriminatory societal practices that systematically disadvantage Black Americans are forms of structural racism but few studies have examined structural racism and incident CHD. We sought to determine associations between 3 validated measures of structural racism and incident CHD, hypothesizing that greater state-level structural racism is associated with incident CHD for Black but not White individuals.

methodsWe used data from the national REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort, which enrolled 30 239 Black and White community-dwelling adults between 2003 and 2007 who were contacted every 6 months with retrieval of medical records and expert adjudication of myocardial infarction and cause of death. Incident CHD was defined as myocardial infarction or death due to CHD. Structural racism variables included Black:White percentage living below the federal poverty line, Black:White percentage uninsured, and the Dissimilarity Index (DI), a measure of residential racial segregation. Structural racism variables were dichotomized at the median. Separate race-stratified Cox proportional hazards models examined associations between each measure of structural racism and incident CHD.

resultsThe 24 533 participants free of CHD at baseline included 10 402 Black and 14 131 White participants. Mean age at baseline was 64 years, 59% were women, and 47% had an annual household income <$35 000. High DI was significantly associated with incident CHD and fatal CHD but not nonfatal CHD for Black but not White participants. High Black:White percentage poverty and high Black:White percentage uninsured were not significantly associated with any outcome. For fatal CHD, the hazard ratios (HRs) for high Black:White poverty were 1.19 (95% CI, 0.95-1.48) for Black participants and 0.92 (95% CI, 0.75-1.14) for White participants. For high Black:White uninsurance, the HRs were 1.16 (95% CI, 0.89-1.50) for Black participants and 1.00 (95% CI, 0.77-1.30) for White participants. For high DI, the HRs were 1.35 (95% CI, 1.08-1.68) for Black participants and 1.13 (95% CI, 0.92-1.40) for White participants. Results were similar for men and women and for older and younger individuals.

conclusionsRacial residential segregation but not other structural factors were associated with higher incidence of fatal CHD for Black but not White individuals. If these associations are causal, changing or enforcing state level laws to reduce residential racial segregation could potentially lessen Black:White disparities in CHD.

Indexed as

Black or African AmericanCoronary DiseaseHealth Status DisparitiesRacismWhiteAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsSocial Determinants of HealthUnited Statescohort studiesincidence coronary heart diseaseracial disparitiesstructural racism

Identifiers

PMID41467379
PMCPMC12909027

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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.