Background: Breast cancer (BC) is the most common cancer among US women, and institutional racism is a critical cause of health disparities. We investigated impacts of historical redlining on BC treatment receipt and survival in the United States.
Methods: Home Owners' Loan Corporation (HOLC) boundaries were used to measure historical redlining. Eligible women in the 2010-2017 Surveillance, Epidemiology, and End Results-Medicare BC cohort were assigned a HOLC grade. The independent variable was a dichotomized HOLC grade: A and B (nonredlined) and C and D (redlined). Outcomes of receipt of various cancer treatments, all-cause mortality (ACM), and BC-specific mortality (BCSM) were analyzed using logistic or Cox models. Indirect effects by comorbidity were examined.
Results: Among 18 119 women, 65.7% resided in historically redlined areas (HRAs), and 32.6% were deceased at a median follow-up of 58 months. A larger proportion of deceased women resided in HRAs (34.5% vs 30.0%). Of all deceased women, 41.6% died of BC; a larger proportion resided in HRAs (43.4% vs 37.8%). Historical redlining is a statistically significant predictor of poorer survival after BC diagnosis (hazard ratio = 1.09, 95% confidence interval [CI] = 1.03 to 1.15 for ACM, and hazard ratio = 1.26, 95% CI = 1.13 to 1.41 for BCSM). Indirect effects via comorbidity were identified. Historical redlining was associated with a lower likelihood of receiving surgery (odds ratio = 0.74, 95% CI = 0.66 to 0.83, and a higher likelihood of receiving palliative care odds ratio = 1.41, 95% CI = 1.04 to 1.91).
Conclusion: Historical redlining is associated with differential treatment receipt and poorer survival for ACM and BCSM. Relevant stakeholders should consider historical contexts when designing and implementing equity-focused interventions to reduce BC disparities. Clinicians should advocate for healthier neighborhoods while providing care.
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http://dx.doi.org/10.1093/jnci/djad034 | DOI Listing |
Public Health
December 2024
Integrative Biosciences Center, Wayne State University, 6135 Woodward Avenue, Detroit, MI, 48202, USA; Department of Emergency Medicine, Wayne State University, 4201 St. Antoine Street, Detroit, MI, 48201, USA. Electronic address:
Objectives: Historic redlining grades that were assigned to US neighborhoods based largely on minority race or ethnicity by the Home Owners Loan Corporation (HOLC) during the 1930s have been linked with adverse health outcomes among neighborhood residents. This review aimed to summarize the quantitative evidence, so we could determine if any findings are replicated and otherwise identify research gaps.
Study Design: Systematic review.
Lancet Rheumatol
January 2025
Harvard Medical School, Harvard University, Cambridge, MA, USA; Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, USA. Electronic address:
WMJ
November 2024
Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, Wisconsin.
Introduction: Housing discrimination as one of the main mechanisms for reinforcing racial segregation has persisted historically in the United States through a process known as "redlining." In recent years, researchers across different disciplines have utilized the iconic "residential security maps" created by the Home Owners' Loan Corporation (HOLC) in the 1930s to analyze the structural roots of racial disparities. HOLC maps designated grading of "best" to "still desirable" to "definitely declining" and "hazardous" to urban areas where percentage of African American and foreigners were among the reordered measures.
View Article and Find Full Text PDFAnn Surg Oncol
November 2024
Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
J Racial Ethn Health Disparities
October 2024
Department of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Introduction: Previous research has documented a strong relationship between currently living in the redlined zones of the 1930s and suffering from a higher prevalence of disease. However, little is known about the relationship between historical redlining, modern-day redlining, and current resident health outcomes. This paper aimed to simultaneously model the associations between both historical redlining and modern-day redlining on current health outcomes.
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