Structural Racism and Breast Cancer-specific Survival: Impact of Economic and Racial Residential Segregation.

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.

New insights into the burden of COVID-19 mortality for U.S. Hispanics and Blacks when examined by country/region of origin: An observational study.

Background: Florida's diverse population composition includes persons from throughout Latin America and the Caribbean. This facilitated an insightful examination of disparities in 2020 Florida COVID-19 deaths not only among racial/ethnic populations in the aggregate (non-Hispanic White, non-Hispanic Black, Hispanic) but also at the level of country/region of origin. Methods: Age-adjusted mortality rates (AAMRs) for 2020 Florida COVID-19 deaths were calculated by race, ethnicity, and country/region of origin along with mean age at death, mean number of comorbidities, and percentage of decedents who had not completed secondary education. Regression-derived mortality rate ratios (MRRs) compared death rates for each racial/ethnic/country-of-origin population to non-Hispanic whites. Findings: The overall AAMR (per 100,000) for 18,342 Florida COVID-19 deaths in 2020 was 55.4, with a much lower AAMR for non-Hispanic Whites (39.3) than for Hispanics (86.8) or Blacks (107.6). Marked differences in AAMRs were observed for specific Black and Hispanic ethnic groups from varied countries/regions of origin. COVID-19 decedents from Mexico and Central America had the highest AAMRs (170.7 and 168.8 per 100,000, respectively), lowest age at death, lowest educational level, and fewest comorbidities. Mean comorbidities were highest for Blacks (all origins) and Cuban Hispanics. Interpretation: Florida Blacks and Hispanics experienced disproportionately high COVID-19 mortality rates throughout 2020, with notable variability based on country/region of origin. Inequities were particularly pronounced for Hispanic populations from Mexico and Central America. To better understand these heterogeneous COVID-19 mortality trends, more nuanced racial/ethnic analyses and detailed data on social determinants of health are needed. Funding: Supplemental funding was provided by the Sylvester Comprehensive Cancer Center at University of Miami Miller School of Medicine. Research reported in this publication was also supported by the National Cancer Institute of the National Institutes of Health under Award Number P30CA240139.

Kidney cancer mortality disparities among Hispanics in the US.

INTRODUCTION: Kidney cancer incidence is increasing among Hispanics but rate differences by distinct group, such as Cuban, Puerto Rican, and Mexican have not been studied. To fill this knowledge gap, we use mortality data, reflecting fatal kidney cancers, to examine patterns by race-ethnicity, including detailed Hispanic groups, and correlate the mortality rates with each group's prevalence of known kidney cancer risk factors: smoking, obesity, hypertension, diabetes, and chronic kidney disease. METHODS: We used individual-level death data for California, Florida, and New York (2008-2018), and population prevalence data from the National Health Interview Surveys (2008-2018). Age-adjusted mortality rates (AAMRs) and regression-derived mortality rate ratios (MRRs) were computed. Pearson correlation analyses assessed the extent to which group-specific risk factor prevalence explained variability in observed AAMRs. RESULTS: US-born Mexican Americans and American Indians had the highest rates and MRRs compared to Whites: 1.44 (95 %CI: 1.35-1.53) and 1.51 (1.38-1.64) for Mexican American men and women, respectively, and 1.54 (95 %CI: 1.25-1.89) and 1.53 (95 %CI: 1.15-2.04) for American Indians. In contrast, non-Mexican Hispanics had lower rates than Whites. Among males, positive correlations between AAMRs and smoking, obesity, and chronic kidney disease prevalence by race-ethnicity were found. CONCLUSION: Mexican Americans and American Indians are high-risk for fatal kidney cancer. Disparities are only partially attributable to higher smoking and obesity prevalence, and more so among men than women. A shared risk factor profile, as well as possible genetic similarities, may explain their disproportionately higher kidney cancer mortality, but further research is warranted.

The role of histology on endometrial cancer survival disparities in diverse Florida.

BACKGROUND: Endometrial cancer (EC) mortality is particularly high among non-Hispanic Blacks and is twice that of non-Hispanic Whites. However, comparisons of EC survival outcomes by race/ethnicity are often confounded by histology and grade. Here, we analyze EC survival disparities in multiracial Florida with a focus on EC types (1 and 2) and subtypes, defined according to histology and grade. METHODS: All 27,809 cases of EC diagnosed during 2005-2016 were obtained from the Florida Cancer Registry. Age-standardized, 5-year cause-specific survival by race/ethnicity and histological type were calculated. Fine and Gray competing risk regression was used to estimate sub-distribution hazard ratios (sHRs) for associations between risk of death due to EC and potential predictive factors such as histology/grade, age, stage at diagnosis, and insurance. RESULTS: Type 2 EC accounted for only 38.7% of all incident EC-cases but 74.6% of all EC-deaths. Blacks were disproportionately affected by type 2 EC (57.6%) compared to Whites, Hispanics, and Asians (35.6%, 37.7%, and 43.0%, respectively). Age-adjusted 5-year survival for types 1 and 2 were 85.3% and 51.6%, respectively; however, there was wide variation within type 2 subtypes, ranging from 60.2% for mixed cell EC to as low as 30.1% for carcinosarcoma. In the multivariable model, Blacks with type 2 EC had a 23% higher risk of death due to EC (sHR: 1.23, 95%CI: 1.12-1.36) compared to Whites. CONCLUSIONS: Population-based analyses should consider the histological heterogeneity of EC because the less common type 2 EC drives racial/ethnic survival disparities in EC. Black women have a higher proportion of more aggressive histological types and an overall higher risk of death due to EC than Whites. To the extent that some of these histological types may be considered different diseases and require specific treatment approaches, further research on etiology and prognosis for detailed type 2 EC subtypes is warranted.

Worse Breast Cancer Outcomes for Southern Nevadans, Filipina and Black Women.

Breast cancer is the second deadliest cancer for women in the demographically unique mountainous west state of Nevada. This study aims to accurately characterize breast cancer survival among the diverse women of the flourishing Silver State. Nevada Central Cancer Registry data was linked with the National Death Index and the Social Security Administration Masterfile. Overall 5-year age-adjusted cause-specific survival, survival stratified by race/ethnicity, and stage-specific survival stratified by region of Nevada were calculated. Adjusted hazard ratios were computed with Cox proportional hazards regression. 11,111 cases of breast cancer were diagnosed from 2003 to 2010. Overall 5-year breast cancer survival in Nevada was 84.4 %, significantly lower than the US, at 89.2 %. Black and Filipina women had a higher risk of death than white women. Poor survival in the racially and ethnically diverse Las Vegas metropolitan area, with a large foreign-born population, drives Nevada's low overall survival. System-wide changes are recommended to reduce the racial/ethnic disparities seen for black and Filipina women and improve outcomes for all.

Developing an urban community-campus partnership: lessons learned in infrastructure development and communication.

BACKGROUND: A low-income, African American neighborhood in Miami, Florida, experiences health disparities including an excess burden of cancer. Many residents are disenfranchised from the healthcare system, and may not participate in cancer prevention and screening services. OBJECTIVE: We sought to describe the development of a partnership between a university and this community and lessons learned in using a community-based participatory research (CBPR) model. METHODS: To better understand the community's health behaviors and status, a randomized door-to-door survey was conducted in collaboration with a community partner. LESSONS LEARNED: This collaboration helped foster a mutual understanding of the benefits of CBPR. We also describe challenges of adhering to study protocols, quality control, and sharing fiscal responsibility with organizations that do not have an established infrastructure. CONCLUSIONS: Understanding the organizational dynamics of a community is necessary for developing a CBPR model that will be effective in that community. Once established, it can help to inform future collaborations.