Evidence map›Paper›PMID 41723299›Full record

ArticleJournal of racial and ethnic health disparities2026

The Association of County-level Structural Racism with Risk Factors for Negative Maternal Health and Birth Outcomes among Non-Hispanic Black People of Childbearing Age.

Peter Baltrus, Chaohua Li, Adenike McDonald, Tyra Mussington, Megan Douglas, Anne Gaglioti, Lorraine T Dean, Geoff B Daugherty, Natalie D Hernandez-Green

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Article in Journal of racial and ethnic health disparities, 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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5 · Who and what money

Authors and funding

9 authors.

Peter BaltrusNational Center for Primary Care, Morehouse School of Medicine, Atlanta, GA, 30310, USA. pbaltrus@msm.edu.ORCID http://orcid.org/0000-0001-9808-0501
Chaohua LiNational Center for Primary Care, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
Adenike McDonaldCenter for Maternal Health Equity, Morehouse School of Medicine, Atlanta, GA, USA.
Tyra MussingtonCenter for Cardiovascular Research, Morehouse School of Medicine, Atlanta, GA, USA.
Megan DouglasNational Center for Primary Care, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
Anne GagliotiCenter for Community Health Integration, Case Western Reserve School of Medicine, Cleveland, OH, USA.
Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Geoff B Daugherty *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Natalie D Hernandez-Green *Center for Maternal Health Equity, Morehouse School of Medicine, Atlanta, GA, USA.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Eunice Kennedy Shriver National Institute of Child Health and Human Development U54HD113292HRSA HHS UR6MC50349National Center on Minority Health and Health Disparities NIH-RCMI 2U54MD007602-36NCATS NIH HHS UL1TR002378
6 · The paper itself

Abstract

introductionPlace-based measures of structural racism have shown adverse relationships with maternal health outcomes. Pre-existing conditions like diabetes, hypertension, and depression contribute to Black-White maternal health disparities. This study investigates the association between county-level structural racism (CSR) and these conditions among non-Hispanic Black women of reproductive age.

methodsWe analyzed data from women of reproductive age in the 2011–2012 Behavioral Risk Factor Surveillance System (BRFSS). CSR was measured using a validated multi-indicator construct examined by quartile. Depression, diabetes, and hypertension were self-reported. Individual and county-level covariates were obtained from BRFSS and the 2010 US Census. We conducted multilevel logistic regression models.

resultsWomen in the highest CSR quartile counties showed the highest depression prevalence and lowest hypertension prevalence. While initial analysis showed no significant associations between CSR and diabetes or hypertension, the fully adjusted model revealed women in the highest CSR quartile had significantly higher odds of diabetes [OR = 1.33(1.00-1.78)] and depression [AOR = 1.50(1.19–1.90)].

conclusionsThis study expands understanding of county-level structural racism’s relationship with chronic health conditions affecting Black women’s maternal health outcomes. Findings suggest that CSR is an important factor to consider in potential interventions to address maternal health disparities among NHB birthing parents. Structural racism at the individual level negatively impacts maternal health outcomes, however there are limited studies at the population level. This study shows how county-level structural racism impacts known risk factors of maternal health outcomes (diabetes, hypertension, depression).

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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.