Economic Residential Segregation Research Articles

Abstract PR014: Racialized economic polarization effects on postoperative complications in patients with triple negative breast cancer

Abstract INTRODUCTION The physical separation of residential housing based on race and income, otherwise known as racialized economic residential segregation, has been associated with more aggressive tumor pathology and higher mortality in patients with breast cancer. The purpose of this study is to evaluate the impact of racialized economic segregation on post-operative complications (POC) in surgical patients with triple negative breast cancer (TNBC). METHODS Women aged 18+ diagnosed with stage I-III TNBC between 1/1/12-12/31/20 who underwent surgery were identified in the cancer registry and electronic medical record at a comprehensive cancer center. Racial (ICE-race) and racialized economic (ICE-race-income) polarization were operationalized using the Index of Concentration at the Extremes (ICE) at the census tract level. Metrics were divided into quartiles where higher quartiles represented greater polarization. Postoperative complications (POC) included technical, infectious, respiratory, urinary, and cardiovascular complications within 30 days of surgery. Crude and adjusted logistic regression generalized estimating equations (GEE) assessed the association between greater racial (ICE-race) and racialized economic (ICE-race-income) segregation as exposures and POC as the outcome, while accounting for clustering effects. Models were adjusted for age, race, ethnicity, health insurance, marital status, history of alcohol and smoking use, molecular subtype, clinical stage, receipt of chemotherapy, breast and axillary surgery type, and surgical reconstruction. RESULTS 626 patients were included in the study, of whom 509 (81.4%) identified as White, 97 (15.5%) Black, and 20 (3.2%) other. Median age was 59 (IQR 49.0, 67.0) years. Average overall frequency of POC was 8.2%, with increased odds in patients living in neighborhoods with greater racial segregation (ICE-race: Q1 4.0% vs. Q4 12.3%, P=0.02) and racialized economic segregation (ICE-race-income: Q1 3.2% vs. Q4 13.4%, P=0.001). Patients with TNBC living in neighborhoods with greater racialized economic segregation had a 2.52 (95% CI: 1.22 – 5.22) adjusted odds of POC compared to patients residing in less segregated neighborhoods. A one-quartile increase in racial segregation was associated with 41% increased odds of POC (aOR 1.41, 95% CI: 1.00 – 1.98). Similarly, a one-quartile increase in racialized economic polarization was associated with 45% increased odds of POC (aOR 1.45, 95% CI: 1.05 - 2.01). CONCLUSIONS Patients with TNBC breast cancer residing in areas with greater racial segregation or racialized economic segregation are more likely to experience postoperative complications than their counterparts in less segregated areas. Future studies need to examine the mechanistic pathways between neighborhood contextual factors and poor postoperative outcomes. Citation Format: J.C. Chen, Mohamed I. Elsaid, Jesse J. Plascak, Daniel G. Stover, William E. Carson, Timothy M. Pawlik, Samilia Obeng-Gyasi. Racialized economic polarization effects on postoperative complications in patients with triple negative breast cancer [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr PR014.

Association of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.

Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and economic residential segregation at the ZIP code level and long-term survival and readmissions after out-of-hospital cardiac arrest among Medicare beneficiaries. Methods and Results In this retrospective cohort study, using Medicare claims data, our primary predictor was the index of concentration at the extremes, a measure of racial and economic segregation. The primary outcomes were death up to 3 years and readmissions. We estimated hazard ratios (HRs) across all 3 types of index of concentration at the extremes measures for each outcome while adjusting for beneficiary demographics, treating hospital characteristics, and index hospital procedures. In fully adjusted models for long-term survival, we found a decreased hazard of death and risk of readmission for beneficiaries residing in the more segregated White communities and higher-income ZIP codes compared with the more segregated Black communities and lower-income ZIP codes across all 3 indices of concentration at the extremes measures (race: HR, 0.87 [95% CI, 0.81-0.93]; income: HR, 0.75 [95% CI, 0.69-0.78]; and race+income: HR, 0.77 [95% CI, 0.72-0.82]). Conclusions We found a decreased hazard of death and risk for readmission for those residing in the more segregated White communities and higher-income ZIP codes compared with the more segregated Black communities and lower-income ZIP codes when using validated measures of racial and economic segregation. Although causal pathways and mechanisms remain unclear, disparities in outcomes after out-of-hospital cardiac arrest are associated with the structural components of race and wealth and persist up to 3 years after discharge.

In Search of the Promised Land: County-Level Disadvantage and Low Birth Weight among Black Mothers of the Great Migration.

The Great Migration was a movement of roughly eight million Black Southerners relocating to the North and West from 1910 to 1980. Despite being one of the most significant mass internal migrations during the twentieth century, little is known about the health outcomes resulting from migration and whether migrators' destination choices were potential mechanisms. This study measured the association between destination county disadvantage and odds of low birth weight during the last decade of the Great Migration. We used the US Census from 1970 as well as the birth records of first-time Black mothers who migrated from the South collected through the National Center of Health Statistics from 1973 to 1980 (n = 154,145). We examined three measures of area-based opportunity: Black male high school graduation rate, Black poverty rate, and racialized economic residential segregation. We used multilevel logistic regression, where mothers were nested within US counties, to quantify the relationship between county disadvantage and low birth weight. After adjusting for individual risk and protective factors for infant health, there was no relationship between county opportunity measures and low birth weight among migrators. Although high socioeconomic opportunity is typically associated with protection of low birth weight, we did not see these outcomes in this study. These results may support that persistent racial discrimination encountered in the North inhibited infant health even as migrators experienced higher economic opportunity relative to the South.

Assessing racial residential segregation as a risk factor for severe maternal morbidity

PurposeTo measure associations of area-level racial and economic residential segregation with severe maternal morbidity (SMM). MethodsWe conducted a retrospective cohort study of births at two Philadelphia hospitals between 2018 and 2020 to analyze associations of segregation, quantified using the Index of Concentration at the Extremes (ICE), with SMM. We used stratified multivariable, multilevel, logistic regression models to determine whether associations of ICE with SMM varied by self-identified race or hospital catchment. ResultsOf the 25,979 patients (44.1% Black, 35.8% White), 1381 (5.3%) had SMM (Black [6.1%], White [4.4%]). SMM was higher among patients residing outside (6.3%), than inside (5.0%) Philadelphia (P < .001). Overall, ICE was not associated with SMM. However, ICErace (higher proportion of White vs. Black households) was associated with lower odds of SMM among patients residing inside Philadelphia (aOR 0.87, 95% CI: 0.80–0.94) and higher odds outside Philadelphia (aOR 1.12, 95% CI: 0.95–1.31). Moran’s I indicated spatial autocorrelation of SMM overall (P < .001); when stratified, autocorrelation was only evident outside Philadelphia. ConclusionsOverall, ICE was not associated with SMM. However, higher ICErace was associated with lower odds of SMM among Philadelphia residents. Findings highlight the importance of hospital catchment area and referral patterns in spatial analyses of hospital datasets.

Survival After Out-of-Hospital Cardiac Arrest: The Role of Racial Residential Segregation.

Racial and racialized economic residential segregation has been empirically associated with outcomes across multiple health conditions but not yet explored in relation to out-of-hospital cardiac arrest (OHCA). We sought to examine if measures of racial and economic residential segregation are associated with differences in survival to discharge after OHCA for Black and White Medicare beneficiaries. Utilizing age-eligible Medicare fee-for-service claims data from 2013 to 2015, we identified OHCA claims and determined survival to discharge. The primary predictor, residential segregation, was calculated using the index of concentration at the extremes (ICE) for the beneficiary residential ZIP code. Multilevel modified Poisson regression models were used to determine the association of OHCA outcomes and ZIP code level ICE measures. In total, 194,263 OHCA cases were identified among beneficiaries residing in 75% of US ZIP codes. Black beneficiaries exhibited 12.1% survival to discharge, compared with 12.5% of White beneficiaries. In fully adjusted models of the three ICE measures accounting for differences in treating hospital characteristics, there was as high as a 28% (RR 1.28, CI 1.23-1.26) higher relative likelihood of survival to discharge in the most segregated White ZIP codes (Q5) as compared to the most segregated Black ZIP codes (Q1). Racial residential segregation is independently associated with disparities in OHCA outcomes; among Medicare beneficiaries who generated a claim after suffering an OHCA, ICE measures of racial segregation are associated with a lower likelihood of survival to discharge for those living in the most segregated Black and lower income quintiles compared to higher quintiles.

Disparities in colorectal cancer time-to-treatment and survival time associated with racial and economic residential segregation surrounding the diagnostic hospital, Georgia 2010–2015

PurposeTo evaluate patient-level colorectal cancer outcomes in relation to residential income and racial segregation and composition of the neighborhood surrounding the diagnosing hospitals, and characterize presence of cancer-relevant diagnosis and treatment modalities that might contribute to these associations. MethodsWe utilized Georgia state cancer registry data (2010–2015), matching diagnosis information to hospital technology provided by the American Hospital Association and spatial information to the US Census. We modeled time-to-treatment and survival time, using Cox proportional hazards models, stratified by segregation. Segregation was examined as residential economic and racial evenness (Atkinson index) and isolation (isolation index) and mean income at the Census tract level. To assess possible contributing factors, analysis of hospital diagnosis and treatment technologies in relation to segregation was conducted. ResultsAverage income of the Census tract and racial residential segregation of the diagnosing hospital’s neighborhood was generally unassociated with time-to-treatment or survival time. Higher income evenness around the diagnosing hospital was associated with shorter time-to-treatment, with no association with time-to-death. Higher income isolation for the diagnosing hospital, conversely, was associated with longer times to treatment, but also longer survival times. Hospitals in regions with higher level of residential income segregation were less likely to have a particular diagnosing or treatment technologies, such as virtual colonoscopy and chemotherapy. ConclusionHospital resources may be a function of their immediate economic environment, and this may have influence on cancer outcomes. Future work should evaluate patient outcomes in light of technologies or therapies utilized within particular economic environments.

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

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. 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. 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. 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). 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.

Abstract PO-171: Local economic and racial/ethnic segregation and breast cancer risk: The Multiethnic Cohort Study

Abstract Introduction: Residential segregation has been documented to contribute to health inequities. The Index of Concentration at the Extremes (ICE) is a local measure of residential segregation that can capture economic, racial, and combined racialized economic residential segregation. ICE measures have only recently been examined in cancer studies, few of which have focused on breast cancer risk and none among Asian American or Pacific Islander (AAPI) groups. In the Multiethnic Cohort Study (MEC), we examined the associations of neighborhood ICE measures with breast cancer incidence among 101,811 female participants in five racial/ethnic groups (African American, Latino, Japanese American, Native Hawaiian, and White). Methods: ICE measures were developed based on 1990 U.S. census tract-level data, categorized in quintiles based on Los Angeles county and Hawai'i state-specific distributions, and assigned to the residential census tract of MEC female participants residing, at study baseline, in California (CA) (primarily Los Angeles, n=56,880), and Hawai'i (HI) (n=44,931). Separate ICE measures were created for household income, education, race/ethnicity, and combined household income and race/ethnicity. Women, aged 45-75 at enrollment, completed a comprehensive lifestyle questionnaire and were followed from baseline (1993-1996) to earliest date of invasive breast cancer diagnosis (n=6,398), death, or end-of-follow-up (12/31/2014). Invasive breast cancer incidence was modeled using Cox proportional hazards regression adjusted for demographics, family history of breast cancer, reproductive and lifestyle factor factors. Stratified analyses were conducted by race/ethnicity and stage at diagnosis. Results: For women in CA MEC, there were significantly higher risks of breast cancer for those living in neighborhoods with more versus less concentrated privilege [Q5 v Q1 Hazard Ratios (HR): ICE income 1.16 (1.03-1.31), ICE education 1.21 (1.05-1.39)]. In stratified analyses, these patterns of associations were seen for African Americans, Latinos, and Japanese Americans. Risks were also higher among Japanese American women living in neighborhoods with greater concentrations of Whites versus AAPI [Q5 v Q1 ICE Race HR: 1.77 (1.22-2.57)] and for Latino women living in neighborhoods with greater concentrations of high income-White households versus low income-Hispanic households [Q4 v Q1 ICE Race + Income HR: 1.48 (1.20-1.82)]. For women in HI MEC, those living in neighborhoods with higher versus lower ICE income or ICE education had higher risk of localized stage at diagnosis and lower risk of regional &amp; distant diagnosis (p Het &amp;lt;0.01). No associations were found among White or Native Hawaiian women. Conclusions: Our findings suggest economic residential segregation plays an important role in breast cancer risk among African American, Latino, and Japanese American women. This study also highlights the importance of examining racial and racialized economic residential segregation separately across racial/ethnic groups. Citation Format: Jenna Khan-Gates, Salma Shariff-Marco, Katherine Lin, Pushkar Inamdar, Juan Yang, Yuqing Li, Meera Sangaramoorthy, Christopher Haiman, Loïc Le Marchand, Lynne R Wilkens, Scarlett L Gomez, Iona Cheng. Local economic and racial/ethnic segregation and breast cancer risk: The Multiethnic Cohort Study [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-171.

Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis.

To examine the association between economic residential segregation and food environment. Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local Gi* statistic, a measure of the sd between the economic composition of a neighbourhood (the proportion of heads of households in neighbourhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighbourhoods. Segregation was categorised as high (most segregated), medium (integrated) and low (less segregated or integrated). A proportional odds models were used to model the association between segregation and food environment. Belo Horizonte, Brazil. Food stores. After adjustment for covariates, neighbourhoods characterised by high economic segregation had fewer food stores overall compared with neighbourhoods characterised by low segregation (OR = 0·56; 95 % CI (0·45, 0·69)). In addition, high segregated neighbourhoods were 49 % (OR = 0·51; 95 % CI (0·42, 0·61)) and 45 % (OR = 0·55; 95 % CI (0·45, 0·67)) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared with their counterparts. Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritised by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets, while the latter must be the locus of actions that limit the availability of unhealthy commercial food store.

An ecological study of the association between neighborhood racial and economic residential segregation with COVID-19 vulnerability in the United States’ capital city

The COVID-19 pandemic has had a profound impact on American life. However, the burden of the pandemic has not been distributed equally. The purpose of this study was to investigate whether racial and economic residential segregation were associated with COVID-19 related factors in the nation's capital, Washington D.C., during the first year of the pandemic. Racial, economic, and racialized economic segregation were assessed using the Index of Concentration at the Extremes measure and data from the 2014-2018 American Community Survey. COVID-19 related factors (i.e., incidence, testing rate, and percent positivity) were assessed using data from the Washington D.C. government. Spearman rank correlation was used to assess the relationship between each segregation measure and each COVID-19 related factor. Washington D.C. neighborhoods with a higher concentration of African Americans, lower income residents, and African Americans with low income had a higher incidence of COVID-19 and greater percent positivity, but lower testing rates compared to their counterparts. There is a geographic mismatch between neighborhoods most vulnerable to COVID-19 and the neighborhoods where the testing resources are being used. More resources should be allocated to the most vulnerable neighborhoods to address the COVID-19 pandemic in an equitable manner.

Racial and Economic Neighborhood Segregation, Site of Delivery, and Morbidity and Mortality in Neonates Born Very Preterm

To assess the influence of racial and economic residential segregation of home or hospital neighborhood on very preterm birth morbidity and mortality in neonates born very preterm. We constructed a retrospective cohort of n=6461 infants born <32weeks using 2010-2014 New York City vital statistics-hospital data. We calculated racial and economic Index of Concentration at the Extremes for home and hospital neighborhoods. Neonatal mortality and morbidity was defined as death and/or severe neonatal morbidity. We estimated relative risks for Index of Concentration at the Extremes measures and neonatal mortality and morbidity using log binomial regression and the risk-adjusted contribution of delivery hospital using Fairlie decomposition. Infants whose mothers live in neighborhoods with the greatest relative concentration of Black residents had a 1.6 times greater risk of neonatal mortality and morbidity than those with the greatest relative concentration of White residents (95% CI 1.2-2.1). Delivery hospital explained more than one-half of neighborhood differences. Infants with both home and hospital in high-concentration Black neighborhoods had a 38% adjusted risk of neonatal mortality and morbidity compared with 25% of those with both home and hospital high-concentration White neighborhoods (P=.045). Structural racism influences very preterm birth neonatal mortality and morbidity through both the home and hospital neighborhood. Quality improvement interventions should incorporate a framework that includes neighborhood context.

Abstract SS1-01: Where you live matters: Impact of economic, racial/ethnic, and racialized economic residential segregation on breast cancer survival

Abstract Background:Racial and economic residential segregation remains a problem within the United States (US). Although advances in screening, detection, diagnosis, and treatment have reduced overall breast cancer mortality, well-documented socioeconomic and racial/ethnic survival disparities persist. The objective of this study was to analyze the effect of economic and racial/ethnic residential segregation as measured by the Index of Concentration at the Extremes (ICE) on breast cancer survival in South Florida. Methods:Patients treated at our medical campus with stage I-IV breast cancer from 2005-2017 were identified from our local tumor registry. Census tracts were used as neighborhood proxies. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs. low), race/ethnicity (non-Hispanic White (NHW) vs. non-Hispanic Black (NHB) and NHW vs. Hispanic) and racialized economic (low-income NHB vs high-income NHW and low-income Hispanics vs. high-income NHW) segregation. ICE captures spatial socioeconmic and racial/ethnic segregation by literally mapping a critical dimension of social inequality not otherwise captured by metrics that characterize areas solely in terms of the proportion of the population at a specified socioeconomic level or identified as belonging to a particular racial/ethnic group. Random effects frailty models were conducted for all patients and then stratified by race/ethnicity controlling for sociodemographics, tumor characteristics, and NCCN-guideline appropriate treatment. Results:The study population included 6,145 breast cancer patients. 52.6% were Hispanic, 26.3% were NHW, and 17.2% were NHB. After controlling for multiple covariates, those living in extreme economically disadvantaged neighborhoods had a statistically significant increased mortality compared to those living in more economically advantaged neighborhoods (HR: 1.58 95%CI: 1.29, 1.92, p&amp;lt;0.001), Table 1. Patients living in an economically disadvantaged NHB neighborhood also had a statistically significant increased mortality compared to those living in more economically advantaged NHW neighborhoods (HR: 2.0 95% CI: 1.54, 2.60, p&amp;lt;0.001). In race-stratified analyses, an NHW person living in a predominantly economically disadvantaged NHB neighborhood had increased mortality compared to a NHW person living in an economically advantaged NHW neighborhood (HR: 2.02 95%CI: 1.19-3.41, p&amp;lt; 0.0071) controlling for tumor subtype and NCCN-guideline appropriate treatment. Conclusion:This is the first study to evaluate breast cancer survival by ICE, which identifies inequitable associations by conveying extreme concentrations of both economic deprivation/privilege and racial/ethnic segregation. Our study suggests that breast cancer survival disparities is partly influenced by extreme racial/ethnic and economic segregation. Even when accounting for sociodemographics, tumor characteristics, and NCCN-guideline appropriate treatment, survival disparities remained, suggesting potential social and environmental factors impacting survival. To address these disparities, effective interventions are needed that account for the social and environmental contexts in which cancer patients live and are treated. Table 1: Breast Cancer Hazard Ratio by Economic, Racial/Ethnic, and Racialized Economic Residential Segregation Residential SegregationType of Segregation (ICE)QuartileModel 1Model 2Model3HR (95% CI)HR (95% CI)HR (95% CI)Economic SegregationQ11.83 (1.1, 3.03)*1.64 (0.89, 3.02)1.58 (1.29, 1.92)*Economic SegregationQ22.36 (1.48, 3.76)*2.45 (1.38, 4.34)*1.44 (1.16, 1.79)*Economic SegregationQ31.16 (0.72, 1.8)1.08 (0.61, 1.9)1.16 (0.94, 1.44)Economic SegregationQ4111NHB SegregationQ11.6 (0.9, 2.84)1.42 (0.72, 2.82)1.41 (0.96, 2.07)NHB SegregationQ20.92 (0.52, 1.6)0.91 (0.47, 1.77)1 (0.68, 1.48)NHB SegregationQ30.61 (0.29, 1.26)0.85 (0.37, 1.94)0.82 (0.52, 1.31)NHB SegregationQ4111Hispanic SegregationQ11.38 (0.83, 2.28)1.13 (0.61, 2.08)1.36 (1.12, 1.66)*Hispanic SegregationQ279 (0.47, 1.32)0.74 (0.4, 1.38)0.86 (0.67, 1.08)Hispanic SegregationQ30.94 (0.59, 1.49)0.98 (0.57, 1.67)1.05 (0.86, 1.29)Hispanic SegregationQ4111NHB Economic SegregationQ12.68 (1.6, 4.47)*2.02 (1.09, 3.74)2 (1.54, 2.6)*NHB Economic SegregationQ21.85 (1.15, 2.97)*1.39 (0.79, 2.44)1.56 (1.22, 2.02)*NHB Economic SegregationQ31.2 (0.69, 2.07)1.09 (0.58, 2.06)1.19 (0.88, 1.6)NHB Economic SegregationQ4111Hispanic Economic SegregationQ11.91 (1.19, 3.07)*1.45 (0.83, 2.54)1.64 (1.24, 2.15)*Hispanic Economic SegregationQ21.45 (0.8, 2.62)1.06 (0.52, 2.17)1.44 (1.06, 1.96)*Hispanic Economic SegregationQ31.26 (1.73, 2.18)0.95 (0.49, 1.84)1.11 (0.8, 1.54)Hispanic Economic SegregationQ4111Model 1: Adjusted for ICE, race/ethnicity, age, insuranceModel 2: Adjusted for Model 1 covariates plus receptor status, clinical stageModel 3: Adjusted for Model 1 and 2 covariates plus stage appropriate treatmentQ1: Most disadvantaged neighborhoods; Q4: Reference: most advantaged neighborhoods.*p &amp;lt; 0.05 Citation Format: Neha Goel, Kristin N Kelly, Sina Yadegarynia, Seraphina Choi, Susan B Kesmodel, Ashly Westrick. Where you live matters: Impact of economic, racial/ethnic, and racialized economic residential segregation on breast cancer survival [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr SS1-01.

Abstract PO-005: Where you live matters: Impact of economic, racial/ethnic, and racialized economic residential segregation on breast cancer survival

Abstract Background Racial and economic residential segregation remains a problem within the United States (US). Although advances in screening, detection, diagnosis, and treatment have reduced overall breast cancer mortality, well-documented socioeconomic and racial/ethnic survival disparities persist. The objective of this study was to analyze the effect of economic and racial/ethnic residential segregation, as measured by the Index of Concentration at the Extremes (ICE), on breast cancer survival. Methods Patients treated at our medical campus, comprised of a safety-net hospital and an academic cancer center, with stage I-IV breast cancer from 2005-2017 were identified from our tumor registry. Census tracts were used as neighborhood proxies. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs. low), race/ethnicity (non- Hispanic White (NHW) vs. non-Hispanic Black (NHB) and NHW vs. Hispanic) and racialized economic (low-income NHB vs high-income NHW and low-income Hispanics vs. high-income NHW) segregation. ICE uniquely captures spatial economic and racial/ethnic segregation by mapping social inequality not otherwise captured by evaluating a population of a specific socioeconomic level or belonging to a particular racial/ethnic group. Random effects frailty models were conducted for all patients and then stratified by race/ethnicity controlling for demographics, tumor characteristics, and NCCN-guideline appropriate treatment subtype. Results The study population included 6,145 breast cancer patients. 52.6% were Hispanic, 26.3% were NHW, and 17.2% were NHB. After controlling for multiple covariates, those living in extreme economically disadvantaged neighborhoods had an increased hazard ratio (HR) of death compared to those living in more economically advantaged neighborhoods (HR: 1.58 95% CI: 1.29-1.92, p&amp;lt;0.001). Patients living in an economically disadvantaged NHB neighborhood also had an increased HR compared to those living in more economically advantaged NHW neighborhoods (HR: 2.0 95% CI:1.54-2.60, p&amp;lt;0.001). In race-stratified analyses, a NHW living in an economically disadvantaged NHB neighborhood had an increased HR compared to a NHW living in an economically advantaged NHW neighborhood (HR: 2.02 95% CI:1.19-3.41, p&amp;lt; 0.0071), even when controlling for demographics, tumor subtype, and appropriate treatment. Conclusion This study is the first to evaluate breast cancer survival by ICE, which brings social inequality to the forefront. Our study suggests that survival disparities persist at the extremes of economic deprivation/privilege and racial/ethnic residential segregation, even when accounting for demographics, tumor characteristics, and appropriate treatment, suggesting social/environmental factors are also impacting survival. To address these disparities, effective interventions are needed that account for the social and environmental contexts in which cancer patients live and are treated. Citation Format: Neha Goel, Sina Yadegarynia, Kristin N. Kelly, Susan B. Kesmodel, Erin N. Kobetz, Ashly Westrick. Where you live matters: Impact of economic, racial/ethnic, and racialized economic residential segregation on breast cancer survival [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-005.

Residential segregation and overall survival of women with epithelial ovarian cancer.

To the authors' knowledge, the etiology of survival disparities in patients with epithelial ovarian cancer (EOC) is not fully understood. Residential segregation, both economic and racial, remains a problem within the United States. The objective of the current study was to analyze the effect of residential segregation as measured by the Index of Concentration at the Extremes (ICE) on EOC survival in Florida by race and/or ethnicity. All malignant EOC cases were identified from 2001 through 2015 using the Florida Cancer Data System (FCDS). Census-defined places were used as proxies for neighborhoods. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs low), race and/or ethnicity (non-Hispanic white [NHW] vs non-Hispanic black [NHB] and NHW vs Hispanic), and racialized economic segregation (low-income NHB vs high-income NHW and low-income Hispanic vs high-income NHW). Random effects frailty models were conducted. A total of 16,431 malignant EOC cases were diagnosed in Florida among women living in an assigned census-defined place within the time period. The authors found that economic and racialized economic residential segregations influenced EOC survival more than race and/or ethnic segregation alone in both NHB and Hispanic women. NHB women continued to have an increased hazard of death compared with NHW women after controlling for multiple covariates, whereas Hispanic women were found to have either a similar or decreased hazard of death compared with NHW women in multivariable Cox models. The results of the current study indicated that racial and economic residential segregation influences survival among patients with EOC. Research is needed to develop more robust segregation measures that capture the complexities of neighborhoods to fully understand the survival disparities in EOC.

Abstract P295: Residential Segregation Is Associated With Uncontrolled Diabetes Among Brazilian Adults: The Brazilian Longitudinal Study Of Adult Health (elsa-brasil)

Introduction: The prevalence of type-2 diabetes is increasing globally with the sharpest increases occurring in low and middle-income countries. Residential segregation results in increased exposure to adverse neighborhood environments that may inhibit the successful management of diabetes. Moreover, due to historical and contemporary forms of structural racism, marginalized racial groups are more likely to live in these environments. Using a spatial measure of neighborhood-level economic residential segregation (hereafter, segregation) we examined the association between segregation and uncontrolled diabetes in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Methods: The sample included 828 Black, Brown/Mixed-Race, and White participants ages 35-74 with diagnosed diabetes and complete, geocoded information from the baseline examination of ELSA-Brasil (2008-2010). Residential segregation was based on data from the 2010 IBGE demographic census and calculated for study-defined neighborhoods using the local G i * statistic— a spatially weighted z-score that represents how much a neighborhood’s income composition deviates from the larger metropolitan area. Uncontrolled diabetes was based on 2017 ADA criteria and defined as HbA1c ≥ 7%. Multivariable logistic regression models were used to test cross-sectional associations between segregation and uncontrolled diabetes. Results: Black and Brown participants were more likely than Whites to live in highly segregated neighborhoods. The prevalence of uncontrolled diabetes increased across low, medium, and high levels of segregation (23.1% vs. 37.8% vs. 47.7%, respectively). In multivariable models adjusting for age, gender, race, education, income, and study site, segregation was positively associated with uncontrolled diabetes (OR: 1.20, 95% CI: 1.07-1.56). The association was attenuated but remained statistically significant in models adjusting for neighborhood characteristics, behavioral risk factors and time since diabetes diagnosis. (OR: 1.16; 95% CI: 1.05-1.28). In models that included segregation as a categorical variable, individuals living in highly segregated neighborhoods had a 2-fold higher risk of uncontrolled diabetes compared to individuals living in less segregated neighborhoods (High Segregation, OR: 2.20, 95% CI: 1.35-3.58; Medium Segregation, OR: 1.65, 95% CI: 1.08-2.51). Conclusions: Residential segregation may lead to disparate diabetes-related morbidity among urban-dwelling adults in Brazil. Moreover, the disproportionate clustering of Blacks and Browns within segregated neighborhoods implicates segregation as a potential driver of racial inequalities in these outcomes. Policies and/or structural interventions designed to improve neighborhood conditions may be viable strategies to improve the management of diabetes in this setting.

Disparities in food consumption between economically segregated urban neighbourhoods.

To examine associations between economic residential segregation and prevalence of healthy and unhealthy eating markers. Cross-sectional. A stratified sample was selected in a three-stage process. Prevalence of eating markers and their 95 % CI were estimated according to economic residential segregation: high (most segregated); medium (integrated) and low (less segregated or integrated). Segregation was measured at the census tract and assessed using the Getis-Ord local $G_i^{\rm{\ast}}$ statistic based on the proportion of heads of household in a neighbourhood earning a monthly income of 0-3 minimum wages. Binary logistic regression using generalized estimating equations were used to model the associations. Belo Horizonte, Brazil. Adults (n 1301) residing in the geographical environment (178 census tracts) of ten units of the Brazilian primary-care service known as the Health Academy Program. Of the 1301 participants, 27·7 % lived in highly segregated neighbourhoods, where prevalence of regular consumption of fruit was lower compared with more affluent areas (34·6 v. 53·2 %, respectively). Likewise, regular consumption of vegetables (70·1 v. 87·6 %), fish (23·6 v. 42·3 %) and replacement of lunch or dinner with snacks (0·8 v. 4·7 %) were lower in comparison to more affluent areas. In contrast, regular consumption of beans was higher (91·0 v. 79·5 %). The associations of high-segregated neighbourhood with consumption of vegetables (OR = 0·62; 95 % CI 0·39, 0·98) and beans (OR = 1·85; 95 % CI 1·07, 3·19) remained significant after adjustments. Economic residential segregation was associated with healthy eating markers even after adjustments for individual-level factors and perceived food environment.

Abstract P245: Economic Residential Segregation is Associated With Obesity and Visceral Adiposity in Brazilian Women: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Introduction: Obesity and obesity-related diseases are increasing globally with the sharpest increases occurring in low and middle-income countries. Economic residential segregation results in increased exposure to adverse neighborhood environments; however, the impact of segregation on markers of obesity have been mostly investigated in US-based samples. Using a novel spatial measure of neighborhood-level economic residential segregation (hereafter, segregation) we examined the association between segregation, obesity and visceral adiposity in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Methods: The sample included 6,104 women and 4,789 men ages 35-74 with complete geocoded information from the baseline examination of ELSA-Brasil (2008-2010). Segregation was based on data from the 2010 IBGE demographic census and calculated for study-defined neighborhoods using the local Gi* statistic— a spatially weighted z-score that represents how much a neighborhood’s income composition deviates from the larger metropolitan area. Body mass index (BMI) was calculated by dividing the participants’ measured weight in kilograms by their measured height in meters squared. Participants were considered “obese” if they had a BMI greater than 30 kg/m 2 . Visceral adiposity was assessed using measured waist circumference (in cm) as a proxy. Based on statistically significant interactions between gender and segregation, gender-stratified multivariable logistic and linear regression models were used to test associations between segregation and obesity status and visceral adiposity, respectively. Results: Approximately 14% of the sample resided in segregated neighborhoods. Blacks and Browns were more likely to reside in segregated neighborhoods than Whites (Blacks: 25.9%; Browns: 20.2%; Whites: 8.2%). The prevalence of obesity in the sample was 24% among women and 20% among men and was highest among Black women living in the most economically segregated neighborhood environments (35%). After adjusting for age, sex, race, education, income, and study site, segregation was positively associated with obesity among women (OR: 1.29, 95% CI: 1.07-1.56). Associations for men were not statistically significant (OR: 1.07; 95% CI: 0.85-1.34). Similar patterns were found for visceral adiposity among women (High Segregation, β=1.94 ± 0.51, p=0.0002; Medium Segregation, β=0.90 ± 0.39, p=0.0192) with no statistically significant findings among men. Conclusion: Women residing in economically segregated neighborhoods in Brazil appear to be at an increased risk of obesity and have higher levels of visceral adiposity. Black women may be at highest risk in these settings. Policies and/or structural interventions designed to improve neighborhood conditions may be viable strategies to mitigate the burden of obesity in this setting.

Exploring the association between segregation and physical intimate partner violence in Lima, Peru: The mediating role of gender norms and social capital

Intimate partner violence (IPV) has been globally recognized as a major public health problem. A growing body of evidence has identified a significant relationship between living in a neighborhood of concentrated disadvantage and experiencing IPV. Considering the increasing rates of poverty and segregation registered in Latin American cities, research on the effects of segregation on IPV seems to be particularly necessary in the region. Therefore, this study aims to analyze the impact of economic residential segregation on physical IPV, exploring the mediating roles of social capital and gender norms unfavorable to women. This study used an original dataset in which women from five districts of Metropolitan Lima were interviewed. The results show that residential segregation indirectly influences on physical IPV through the considered mechanisms. In this regard, it was found that segregation increases the likelihood of prevailing gender norms unfavorable to women, and this in turn increases the likelihood of IPV. At the same time, segregation fosters the development of greater social ties among the neighbors, which in turn diminish the levels of IPV. Regarding the overall effect of segregation through both mechanisms, on average social capital is a factor of more relevance. The findings suggest that strengthening the informal networks among neighbors is a powerful strategy to reduce physical IPV in contexts of poverty and segregation.

Parental Challenges to Organizational Authority in an Elite School District: The Role of Cultural, Social, and Symbolic Capital

Background/ContextMost research on “elite” schools has focused on the private sector. However, as a result of economic residential segregation, a number of public school districts exist which may plausibly be construed as socioeconomically elite. Districts of this sort remain relatively understudied. In particular, few researchers have noted the fact that the same mechanism that concentrates substantial wealth in elite districts—the real estate market—also tends to concentrate substantial noneconomic resources.Purpose/ObjectiveOur paper examines the consequences of the abundance of cultural, social, and symbolic capital held by parents in one elite district, which we call Kingsley. During the period in which we collected data, the district administration sought to re-draw attendance boundaries for the two high schools in Kingsley. We show how shifting coalitions of parents made use of the full range of available resources in opposing, or in some instances supporting, district officials’ plans.Research Design, Data Collection, and AnalysisWe carried out a qualitative case study of the year-long redistricting process. Our data include copies of letters and emails sent to the district during the redistricting process, transcriptions of all school board meetings that took place during the process, and over 1,800 postings to two online discussion boards devoted to the process. These data were systematically coded by the research team. We also draw on articles in the press, observational data, and interviews for background information.Findings/ResultsDistrict administrators were subject to a torrent of “data” and “research findings” that parents used to criticize the district's proposed plans. Parents frequently employed their professional expertise to directly challenge arguments put forth by officials in order to justify proposed policies. Furthermore, they drew on elaborate interpersonal networks in order to pool complementary forms of expertise and to mobilize large numbers of like-minded residents. Behind their challenges lay a sense of entitlement that rendered them unwilling to defer to the authority of the administration to make decisions concerning the needs of the system. While no single criticism was decisive, the ongoing challenges to proposed policies forced the district into a permanently defensive posture, resulting in a reduction of the board's ability to use its own expert knowledge to decide which institutional policies would best serve students’ needs.Conclusions/RecommendationsWe suggest that elite districts may be prone to a distinctive type of conflict between residents and policymakers. As economic segregation increases, it is possible that more districts will experience these challenges.

At the intersection of place, race, and health in Brazil: Residential segregation and cardio-metabolic risk factors in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Residential segregation is the spatial manifestation of entrenched socioeconomic and racial inequities and is considered a fundamental cause of racial inequalities in health. Despite the well-documented racialized spatial inequalities that exist in urban areas throughout Brazil, few empirical investigations have examined the link between residential segregation and health and considered its implications for racial health inequalities in this setting. In the present study, we used data from the Brazilian Longitudinal Study of Adult Health (2008–2010) to examine the association between economic residential segregation and two major cardio-metabolic risk factors—hypertension and diabetes. We also examined whether associations were stronger for historically marginalized racial groups in Brazil. Residential segregation was calculated for study-defined neighborhoods using the Getis-Ord Local Gi* statistic and was based on household income data from the 2010 IBGE demographic census. Multivariable logistic regression models were used to examine associations. In our sample, Blacks and Browns were more likely to live in economically segregated neighborhoods. After taking into account income, education, and other demographic characteristics we found that individuals living in the most economically segregated neighborhoods were 26% more likely to have hypertension and 50% more likely to have diabetes than individuals living in more affluent areas. Although Blacks and Browns living in highly segregated neighborhoods had higher prevalence of hypertension and diabetes compared to Whites, we observed no statistically significant racial differences in the associations with residential segregation. Our findings suggest that residential segregation may be an important structural determinant of cardio-metabolic risk factors in Brazil. Moreover, the systematic and disproportionate exposure of Blacks and Browns to highly segregated neighborhoods may implicate these settings as potential drivers of racial inequalities in cardio-metabolic risk factors in urban settings in Brazil.