Cited by 26Racial and Ethnic Identity ResearchHealth disparities and outcomesEnvironmental Justice and Health Disparities

The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes

Open access
Siegel, Michael, Wiklund, Emma·2023·Journal of the National Medical Association

Abstract

Aims While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease. Methods We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we control…

Integrity signals

Registry

Crossref · 10.1016/j.jnma.2023.01.010

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The data demonstrate the effects of long-standing structural racism on the epidemiology of firearm injuries.

    “Combined with the fact that the vast majority of firearm injuries in these urban areas were to Black males, the data demonstrate the effects of long-standing structural racism on the epidemiology of firearm injuries [9–11].”

    From Firearm injuries in Missouri (2023) · cites this paper as [10]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Siegel, M., & Wiklund, E.
Affiliations
Tufts University (US)
Venue
Journal of the National Medical Association
Publisher
Elsevier BV
Published
2023-04
Volume
115
Issue
2
Pages
207-222
ISSN
0027-9684 (ISSN-L)
OpenAlex
W4320894447
Cited by
26
References
6
Citations by year
2026: 5 · 2025: 9 · 2024: 8 · 2023: 4
FWCI
11.22
Type
journal article
Language
en
Open access
Locations
  • Journal of the National Medical Association (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
Keywords
structural racism, racial disparities in health, black-white disparities, infant mortality, stroke, diabetes mellitus, hypertension, asthma, HIV, obesity, kidney disease, residential segregation, incarceration, employment, economic status
MeSH terms
Systemic Racism, White, Black or African American, Humans, Infant, New England, United States, Midwestern United States, Outcome Assessment, Health Care, Health Status Disparities, Racism

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review