Structural racism and racial health disparities at the state level: A latent variable approach

Michael Siegel; Madeline Rieders; Hannah Rieders; Jinan Moumneh; Julia Asfour; Jinseo Oh; Seungjin Oh

doi:10.1016/j.jnma.2023.07.003

Structural racism and racial health disparities at the state level: A latent variable approach

J Natl Med Assoc. 2023 Aug;115(4):338-352. doi: 10.1016/j.jnma.2023.07.003. Epub 2023 Jul 25.

Authors

Michael Siegel¹, Madeline Rieders², Hannah Rieders², Jinan Moumneh², Julia Asfour², Jinseo Oh², Seungjin Oh²

Affiliations

¹ Department of Public Health and Community Medicine, Tufts University School of Medicine, 636 Harrison Avenue, Boston, MA 02111, USA. Electronic address: mike.siegel@tufts.edu.
² Department of Public Health and Community Medicine, Tufts University School of Medicine, 636 Harrison Avenue, Boston, MA 02111, USA.

PMID: 37500328
DOI: 10.1016/j.jnma.2023.07.003

Abstract

Introduction Structural racism is increasingly being recognized as a fundamental cause of racial health disparities. We used a novel measure of structural racism at the state level to examine the relationship between structural racism and disparities in death rates from firearm homicide, infant mortality, HIV, diabetes, stroke, hypertension, asthma, and kidney disease between non-Hispanic Black and non-Hispanic White people in the United States. Methods We used confirmatory factor analysis to measure the latent construct of structural racism for all 50 states. The model included seven indicators across the structural racism domains of residential segregation, economic status/employment, education, incarceration, political participation and representation, environmental racism, and racial equity inclusion. Weights for each of the indicators were determined by examining alternative models and selecting the model with the best fit statistics. The resulting factor scores, representing the level of structural racism in each state across the seven domains, were then used as predictor variables in a series of linear regressions with the ratio of Black to White death rates for each health outcome as the dependent variables. Results We found significant relationships between higher levels of the latent structural racism measure and greater disparities between non-Hispanic Black and non-Hispanic White people in age-adjusted death rates for firearm homicide, infant mortality, HIV, asthma, and obesity. The magnitude of this relationship was greatest for firearm homicide, with each one standard deviation increase in a state's structural racism factor score being associated with an increase of 4.54 (95% CI, 2.91-6.17) in that state's Black-White firearm homicide rate ratio. Conclusions This research provides further evidence that structural racism is a fundamental cause of racial health disparities and that to repair these inequities, macro-level changes in societal structures, institutions, resource allocation, representation, and power will be necessary.

Keywords: African Americans; Empirical measures; Racial health disparities; Structural racism.