Objective: To analyze the effect of economic and racial/ethnic residential segregation on breast cancer-specific survival (BCSS) in South Florida, a diverse metropolitan area that mirrors the projected demographics of many United States regions.
Summary Background Data: Despite advances in diagnosis and treatment, racial and economic disparities in BCSS. This study evaluates these disparities through the lens of racial and economic residential segregation, which approximate the impact of structural racism.
Methods: Retrospective cohort study of stage I to IV breast cancer patients treated at our institution from 2005 to 2017. Our exposures include index of concentration at the extremes, a measurement of economic and racial neighborhood segregation, which was computed at the census-tract level using American Community Survey data. The primary outcome was BCSS.
Results: Random effects frailty models predicted that patients living in low-income neighborhoods had higher mortality compared to those living in high-income neighborhoods [hazard ratios (HR): 1.56, 95% confidence interval (CI): 1.23-2.00]. Patients living in low-income non-Hispanic Black and Hispanic neighborhoods had higher mortality compared to those living in high-income non-Hispanic White (NHW) neighborhoods (HR: 2.43, 95%CI: 1.72, 3.43) and (HR: 1.99, 95%CI: 1.39, 2.84), after controlling for patient characteristics, respectively. In adjusted race-stratified analysis, NHWs living in low-income non-Hispanic Black neighborhoods had higher mortality compared to NHWs living in high-income NHW neighborhoods (HR: 4.09, 95%CI: 2.34-7.06).
Conclusions: Extreme racial/ethnic and economic segregation were associated with lower BCSS. We add novel insight regarding NHW and Hispanics to a growing body of literature that demonstrate how the ecological effects of structural racism-expressed through poverty and residential segregation-shape cancer survival.
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http://dx.doi.org/10.1097/SLA.0000000000005375 | DOI Listing |
J Urban Health
January 2025
Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Neighborhoods or residential environments have physical and social attributes which may contribute to inequalities in the overweight and obesity pandemic. We examined the longitudinal associations of baseline neighborhood-level income and racial residential segregation (using the Gi* statistic: low, medium, high) with changes in body mass index (BMI in kg/m), using geocoded data from 1821 civil servants in the municipality of Rio de Janeiro, Brazil, followed-up for approximately 13 years (baseline wave 1: 1999, wave 2: 2001-2002, wave 3: 2006-2007, wave 4: 2012-2013). Linear mixed effects models using BMI measured in all four study waves were performed, accounting for gender, race, length of residence, education and time-dependent age, and per capita family income.
View Article and Find Full Text PDFCancer Causes Control
January 2025
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, 265 Farber Hall, Buffalo, NY, 14214, USA.
Purpose: Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.
Methods: This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data.
Am J Prev Med
December 2024
Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Introduction: To examine the associations of neighborhood socioeconomic status (nSES), ethnic enclaves, residential Black segregation with screening for breast, cervical and colorectal (CRC) cancers across the state of Texas (TX).
Methods: Using an ecologic study design, spatial clustering of low breast, cervical and CRC screening rates were identified across TX census tracts using local Moran's I statistics. Binomial spatial probit regression was used to estimate the associations between nSES, Hispanic/Latino and Asian American (AA) ethnic enclave neighborhoods and residential Black segregation with geospatial clusters of low screening, adjusting for behavioral characteristics.
Open Forum Infect Dis
January 2025
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Disparities in coronavirus disease 2019 mortality are driven by inequalities in group-specific incidence rates (IRs), case fatality rates (CFRs), and their interaction. For emerging infections, such as severe acute respiratory syndrome coronavirus 2, group-specific IRs and CFRs change on different time scales, and inequities in these measures may reflect different social and medical mechanisms. To be useful tools for public health surveillance and policy, analyses of changing mortality rate disparities must independently address changes in IRs and CFRs.
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