Racial Segregation Research Articles

The role of neighborhood on preterm birth among a high-risk group of birthing people in Boston, MA.

Preterm birth (PTB) is associated with adverse short- and long-term health. There are known racial, ethnic, and socioeconomic inequities in PTB. Because of historical de jure and modern-day de facto segregation and neighborhood divestment, neighborhoods are a source of structural racism and disenfranchisement and a potential target for policies and interventions to reduce PTB inequity. However, the role of neighborhoods on PTB, specifically among high-risk birthing people, is largely unexplored. The Boston Birth Cohort is a longitudinal birth cohort of birthing people-infant dyads at a safety-net hospital in Boston, MA between 2000 and 2018. The primary outcome was preterm birth at 35 weeks or prior. The primary predictor was neighborhood defined by census tract. We used generalized linear mixed effects models to test our hypothesis that neighborhood accounts for a signficiant proportion of PTB risk among socially at-risk birthing people. In multilevel models, neighborhoods were a significant predictor of preterm birth, yet accounted for only 3% of the variability in outcome. In models stratified by race, individual-level factors such as prior preterm birth, nativity status, and advanced birthing person age were significant predictors of PTB. Neighborhood is a significant, though small, predictor of preterm birth in a high-risk birthing population. These findings suggest that individual-level interventions, rather than neighborhood-level policies, may be more effective in reducing preterm birth among high-risk birthing populations.

Neighborhoods, Networks, and HIV Care Among Men Who Have Sex With Men: Proposal for a Longitudinal Study.

The majority of people living with HIV in the United States are men who have sex with men (MSM), with race- and ethnicity-based disparities in HIV rates and care continuum. In order to uncover the neighborhood- and network-involved pathways that produce HIV care outcome disparities, systematic, theory-based investigation of the specific and intersecting neighborhood and social network characteristics that relate to the HIV care continuum must be engaged. Using socioecological and intersectional conceptual frameworks, we aim to identify individual-, neighborhood-, and network-level characteristics associated with HIV care continuum outcomes (viral suppression, retention in care, and antiretroviral adherence) among MSM living with HIV in New York City. In the longitudinal cohort study, we assess 3 neighborhoods of potential influence (residential, social, and health care access activity spaces) using Google Earth. We investigate the influence of neighborhood composition (eg, concentrated poverty and racial segregation) and four neighborhood-level characteristics domains: (1) community violence, physical disorder, and social disorganization (eg, crime rates and housing vacancy); (2) alcohol and other drug use; (3) social norms (eg, homophobia and HIV stigma); and (4) community resources (eg, social services and public transit access). We test theoretical pathways of influence, including stress or coping, stigma or resilience, and access to resources, across the different neighborhoods in which MSM live, socialize, and receive HIV care. At each visit, we locate each participant's reported activity spaces (ie, neighborhoods of potential influence) and collect individual-level data on relevant covariates (including perceptions of or exposure to neighborhoods) and social network inventory data on the composition, social support, and perceived social norms. The outcomes are HIV viral suppression, retention in care, and antiretroviral adherence. These data are combined with an existing, extensive geospatial database of relevant area characteristics. Spatial analysis and multilevel modeling are used to test the main theory-driven hypotheses and capture independent neighborhood-level and network-level effects and changes over time. The study began enrollment in March 2019 and concluded visits in December 2023, with a total of 327 participants enrolled. The median age was 44.1 (SD 11.5) years. Almost all participants self-identified as cisgender men (n=313, 98.1%) and as gay, homosexual, or bisexual (n=301, 94.4%). Overall, 192 (60.1%) participants identified as non-Hispanic Black, and 81 (25.3%) identified as Hispanic. Most (n=201, 63%) reported at least occasional difficulty in meeting basic needs (eg, rent and food) in the past 6 months. The mean number of years living with HIV was 15.4 (SD 10.1). This study will have direct implications for the design of multilevel interventions, addressing factors at the neighborhood, network, and individual levels. Results may inform urban planning and program design to improve HIV care outcomes for MSM, particularly for Black and Latino MSM living in urban areas. PRR1-10.2196/64358.

Abstract 4123509: The Intersection of Race and Ethnicity, Social Determinants of Health, and Hypertension Prevalence: A Community-Level Analysis

Background: Despite being one of the most diverse cities in the United States, Chicago is also notably segregated. The distinct separation among its 77 communities provides an opportunity to examine racial and ethnic segregation and the impact of social determinants of health (SDOH) on health outcomes. Research Question: How do race/ethnicity and SDOH influence hypertension (HTN) prevalence? Aim: To examine the relationships between race/ethnicity, SDOH, and HTN prevalence at the community level. Methods: This cross-sectional study used data from the Chicago Health Atlas collected between 2021 and 2022. The sample included data from all 77 Chicago communities and 2,738,956 of its residents. Two-step latent profile analyses were performed to classify each of the community according to the predominant race/ethnicity of its residents (Asian, Black, Hispanic, or White) and SDOH level (low, moderate, high), which was defined as how favorable the physical and social conditions are within the community and determined using 14 indicators (Table 1). Kruskal-Wallis tests were used to compare the prevalence of HTN among the communities by predominant race/ethnicity and SDOH level. Results: Among the 77 communities, 28 were predominantly Black, 27 were predominantly White, 21 were predominantly Hispanic, and 1 was predominantly Asian. HTN prevalence was highest in predominantly Black communities (39.9%), then the Asian community (35.8%), Hispanic communities (28.8%), and White communities (25.2%), p <.001. Based on the 14 SDOH indicators, 26 of the communities were classified as low SDOH (unfavorable conditions), 25 as moderate SDOH (moderately favorable), and 26 as high SDOH (favorable). HTN prevalence was highest in low SDOH communities (36.3%), followed by moderate SDOH communities (31.4%), and lowest in high SDOH communities (27.2%), p =.003. Conclusions: The findings highlight significant disparities in HTN prevalence across Chicago's communities, with higher rates observed in predominantly Black and low SDOH areas. These results underscore the need for targeted public health interventions to address the intersection of racial/ethnic segregation and SDOH.

State of the Science of Structural Stigma and LGBTQ+ Health: Meta-Analytic Evidence, Research Gaps, and Future Directions.

While public health practitioners and scholars have long theorized that structural forms of stigma shape the health of disadvantaged groups, they have frequently bemoaned the lack of research on this topic. A unique opportunity to address this lacuna occurred in the past two decades, with the advent of dramatic changes in laws, social attitudes, and other structural manifestations of stigma surrounding LGBTQ+ individuals. In a review of this literature, we conducted a meta-analysis of LGBTQ+ structural stigma and health, finding an effect size comparable to several other well-established macrolevel risk factors for poor health (e.g., income inequality, racial residential segregation, neighborhood socioeconomic status). In addition, we enumerated a range of established methodological strategies that studies have used to strengthen inferences; these strategies include documenting result specificity (i.e., structural stigma is unrelated to the health of cisgender heterosexuals), addressing alternative explanations (e.g., social selection), and triangulating evidence across multiple methods, measures, and health outcomes. We offer suggestions for future research to advance this rapidly expanding field, including identifying sources of unexplained heterogeneity in the structural stigma-health association. Finally, we discuss implications for other marginalized groups and for public health interventions and policies to reduce LGBTQ+ health disparities.

Segregation in the Reserves: The Winter Family in Sekhukhuneland 1913–1948

ABSTRACT The role of the reserve areas in both the genesis and implementation of segregation and apartheid is an especially well-worn topic in South African historiography. But much less attention has been given to the impact of the implementation of racial segregation in society in the areas set aside as rural locations and reserves in the ninteeenth and early twentieth centuries. The experiences of the Winter family of the Sekhukhuneland area provides an illuminating case study of the processes at work in the interregnum between the 1913 and 1936 Land Acts. Their family history highlights the emergence in reserve areas of networks of interconnected families spanning both old and new elites and the racial boundaries a segregationist ideology sought to entrench. It also shows how rapidly, profoundly, and painfully these emergent social forms were dismembered after 1936, long before the enforcement of apartheid policies after 1948.

Multidimensional structural racism and estimated cancer risk from traffic-related air pollution.

Traffic-related air pollutants have been associated with a variety of adverse human health impacts, including cancers. In the United States, numerous studies have documented racial inequities in neighborhood exposures to traffic-related air pollution. Emerging evidence suggests that structural racism may influence neighborhood exposures to air pollutants. However, existing research has largely focused on residential racial segregation, one indicator of structural racism. This study developed a multidimensional measure of structural racism to examine the relationship between structural racism and estimated cancer risk from air pollutants in Georgia. Carcinogenic air toxics data were obtained from the US Environmental Protection Agency's 2019 Air Toxics Screening Assessment and sociodemographic data from the American Community Survey. Guided by stakeholder input, county-level data on residential segregation, education, employment, incarceration, economic status, political participation, and homeownership were used to create a multidimensional county-level structural racism index. Relative risks (RRs) were estimated for associations between structural racism and elevated (top 10% in Georgia) estimated cancer risk from air toxics. Multilevel analyses revealed a significant association between multidimensional structural racism and exposure to carcinogenic traffic-related air pollutants. Neighborhoods in the highest quartile of structural racism exhibited an elevated cancer risk from traffic-related air pollutants (RR,7.84; 95% CI,5.11-12.05) compared to neighborhoods with lower levels of structural racism. Multidimensional structural racism was associated with estimated cancer risk from traffic-related air pollution in Georgia. Findings can inform future studies and policy interventions that address racial inequalities in exposure to traffic-related air pollution.

Race-blind admissions, school segregation, and student outcomes

In 2007, the Supreme Court declared race-conscious school admissions unconstitutional. This paper provides the first evaluation of a related federal mandate where the Columbus City School District was forced to adopt a race-blind lottery system for its magnet schools. I explore the impact of the dramatic increase in racial segregation resulting from the mandate. More segregated schools spend less per-pupil, enroll lower achieving students, employ lower value-added teachers, and perpetuate “White flight” out of the district. Ultimately, segregation arising from mandated race-blind admissions causes student achievement and college attendance rates to decline.

Patchwork Apartheid: Private Restriction, Racial Segregation, and Urban Inequality

Patchwork Apartheid: Private Restriction, Racial Segregation, and Urban Inequality

What has Contributed to Green Space Inequities in U.S. Cities? A Narrative Review

Much research has documented green space inequities, but no review has examined their determinants holistically. To address this gap, we conduct a narrative review to synthesize the historical and recent mechanisms contributing to green space inequities in U.S. cities. We identify 77 publications covering this topic and find that two complementary macro-mechanisms shape green space inequities: residential segregation and unequal green space investments. Historical mechanisms include racial residential segregation, redlining, and postwar suburbanization. More recent mechanisms include nonprofits’ involvement in green space provision, green gentrification, and contemporary plans. Moving toward green space equity requires addressing both historical and current mechanisms.

Connecting Past to Present: Does Historical Redlining Affect Current Life Expectancy?

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. In this paper, we used structural equation modeling to uncover relationships between current and historical redlining practices and modern-day life expectancy, exploring two levels of potential mediating factors: (1) racial segregation and structural racism; and (2) mediating health outcomes. We analyzed data from 11,661 census tracts throughout the United States using historical redlining data from 1940, modern redlining data from 2010 to 2017, racial segregation and structural racism indices from 2010 to 2019, health outcome data from 2021 to 2022, and life expectancy data from 2010 to 2015. Historical redlining was measured using Home Owners' Loan Corporation (HOLC) ratings, which ranged from 1.0 for favorable neighborhoods ("greenlined") to 4.0 for unfavorable ("redlined") neighborhoods. Modern-day redlining was measured using Home Mortgage Disclosure Act (HMDA) data, which were transformed into four quartiles, ranging from level 1 (low mortgage rejection rates) to level 4 (high mortgage rejection rates). We found a significant relationship between historic redlining and current life expectancy, with average life expectancy decreasing steadily from 80.7 years in HOLC 1 tracts to 75.7 years in HOLC 4 tracts, a differential of 5.0 years between the greenlined and redlined tracts. We also found a significant relationship between modern-day redlining and current life expectancy, with average life expectancy decreasing steadily from 79.9 years in HMDA 1 tracts to 73.5 years in HMDA 4 tracts, a differential of 6.4 years. In the structural equation model, historical redlining had a total effect of decreasing life expectancy by 1.18 years for each increase of one in the HOLC rating. Modern-day redlining had a total effect of decreasing life expectancy by 1.89 years for each increase of one in the HMDA quartile. This paper provides new evidence that the legacy of redlining is not relegated to the history books but rather is a present and pressing public health issue today.

The implications of digital school quality information for neighbourhood and school segregation: Evidence from a natural experiment in Los Angeles

A digital information explosion has transformed cities’ residential and educational markets in ways that are still being uncovered. Although urban stratification scholars have increasingly scrutinised whether emerging digital platforms disrupt or reproduce longstanding segregation patterns, direct links between one theoretically important form of digital information – school quality data – and neighbourhood and school segregation are rarely drawn. To clarify these dynamics, we leverage an exogenous digital information shock, in which the Los Angeles Times’ website revealed measures of a particularly important school quality proxy – schools’ value-added effectiveness – for nearly all elementary schools in the Los Angeles Unified School District. Results suggest that although the information shock had no detectable effects on residential sorting or neighbourhood racial segregation, it did exert modest effects on school sorting – particularly for Latino and Asian students – albeit not in ways that materially diminished school racial segregation because the racial compositions of high- and low-value-added schools were broadly similar both before and after the information shock. We conclude that the urban stratification implications of digital information may be more nuanced than often appreciated, with effects operating through mechanisms beyond residential segregation and reflecting racial heterogeneity in constraints and preferences vis-à-vis specific types of information.

THE TYBEE ISLAND, GEORGIA BLACK HISTORY TRAIL: A COMMUNITY APPROACH to BLACK GEOGRAPHIES

ABSTRACT Tybee Island, Georgia, was a colonial borderland between Spanish and British America before evolving into a middle-class, seaside resort in the 1800s. It continued as a popular vacation spot in the twentieth century. However, research has highlighted the island’s troubling history of racial segregation, particularly surrounding events like the Orange Crush Beach Party. Previous studies also underscored the Historical Society ignoring the island’s Black history in its exhibits. Building on this, a collaborative project emerged in 2021 involving a Georgia Southern University faculty member and undergraduate student, Tybee MLK Human Rights Organization, and Tybee Island Historical Society. The goal was to create a Black History Trail highlighting a rich yet ignored Black history and culture on the island and addressing the exclusion of Tybee’s Black population from museums and markers. This project integrates community geography, focusing on resolving problems like social exclusion, and exploring spatialities of Black life, social oppressions, and resistance. Utilizing archival research, oral history interviews, and ArcGIS, the project developed a 13-stop virtual tour using ESRI Story Maps. We conclude our paper by highlighting the lessons learned during the trail’s development, the multitude of ways the trail embodies the theory of Black geographies in practice, and the broader challenges in honoring Tybee’s Black geographies. Keywords: community geography, Black geographies, Tybee Island, tourism, memory

Underlying Dimensions of Racial Residential Segregation and Police-Caused Homicide of Blacks: A Cross-Sectional Analysis of Core Based Statistical Areas

This work builds upon previous research to assess the associations between underlying dimensions of racial residential segregation and police-caused homicide of Black civilians. Previous scholars have observed that much of the existing work on residential segregation and police-caused homicide has used one measure of segregation, most commonly the dissimilarity index, although recent work has expanded the focus to include multiple indicators of segregation. Our research extends this research by computing multiple measures of racial residential segregation for a sample of U.S. Core Based Statistical Areas in 2010 and factor analyzing them to identify underlying dimensions. Measures of the resulting dimensions are merged with the Mapping Police Violence data on police-caused homicide. The analyses reaffirm and extend previous conclusions about the importance of spatial relationships within residential locations for understanding contemporary police-caused homicide, while raising questions about the underlying theoretical mechanisms.

Association of Racial Residential Segregation and Other Social Determinants of Health with HIV Late Presentation.

Understanding social determinants of HIV late presentation with advanced disease (LPWA) beyond individual-level factors could help decrease LPWA and improve population-level HIV outcomes. This study aimed to examine county-level social determinants of health (SDOH) with HIV late presentation. We aggregated datasets for analysis by linking statewide HIV diagnosis data from the South Carolina (SC) Enhanced HIV/AIDS Reporting System and multiple social contextual datasets (e.g., the American Community Survey). All adult (18 years and older) people with HIV diagnosed from 2014 to 2019 in SC were included. Linear mixed models with forward selection were employed to explore the association of county-level SDOH with the county-level three-year moving average percentage of LPWA and average delay time from HIV infection to diagnosis. Around 30% of new HIV diagnoses were LPWA in SC, and the mean delay time for people with LPWA was approximately 13 years. Counties with more racial residential segregation had longer average delay time (Adjusted beta = 5.079, 95% CI: 0.268 ~ 9.889). Regarding other SDOH, the increased percentage of LPWA was associated with fewer Ryan White centers per 100,000 population (Adjusted beta = -0.006, 95% CI: -0.011~-0.001) and higher percentages of the population with less than a high school education (Adjusted beta = 0.008, 95% CI: 0 ~ 0.015). Reducing county-level disparities in LPWA requires multifaceted interventions addressing multiple dimensions of SDOH. Targeted interventions are needed for counties with more Black residential segregation, fewer Ryan White centers, and higher percentages of less than high school education.

Racial Residential Segregation and Mental Health During Pregnancy

Research suggests the social, physical, and socioeconomic contexts of residing in segregated neighborhoods may negatively affect mental health. To assess the association between racial residential segregation and prenatal mental health among Asian, Black, Hispanic, and White individuals. This population-based cross-sectional study was conducted in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system. Participants included self-identified Asian, Black, Hispanic, and White pregnant individuals who attended at least 1 prenatal care visit at KPNC between January 1, 2014, and December 31, 2019. Data were analyzed from January 14, 2023, to August 15, 2024. Racial residential segregation, defined by the local Getis-Ord Gi* statistic, was calculated in each racial and ethnic group and categorized as low (<0), medium (0-1.96), or high (>1.96). A positive Gi* statistic indicates overrepresentation (greater clustering or segregation) of the racial and ethnic group in an index census tract and neighboring tracts compared with the larger surrounding geographic area. Prenatal depression and anxiety defined by diagnoses codes documented in the electronic health record between the first day of the last menstrual period and the day prior to birth. Among the 201 115 participants included in the analysis (mean [SD] age, 30.8 [5.3] years; 26.8% Asian, 6.6% Black, 28.0% Hispanic, and 38.6% White), prenatal depression and anxiety were highest in Black individuals (18.3% and 18.4%, respectively), followed by White (16.0% and 18.2%, respectively), Hispanic (13.0% and 14.4%, respectively), and Asian (5.7% and 6.4%, respectively) individuals. Asian (40.8% vs 31.1%) and Black (43.3% vs 22.6%) individuals were more likely to live in neighborhoods with high vs low segregation, while Hispanic individuals were equally likely (34.3% vs 34.7%). High compared with low segregation was associated with greater odds of prenatal depression (adjusted odds ratio [AOR], 1.25 [95% CI, 1.10-1.42]) and anxiety (AOR, 1.14 [95% CI, 1.00-1.29]) among Black individuals. High segregation was associated with lower odds of prenatal depression among Asian (AOR, 0.75 [95% CI, 0.69-0.82]), Hispanic (AOR, 0.88 [95% CI, 0.82-0.94]), and White (AOR, 0.91 [95% CI, 0.86-0.96]) individuals. Similar associations were found for anxiety among Asian (AOR, 0.80 [95% CI, 0.73-0.87]) and Hispanic (AOR, 0.88 [95% CI, 0.82-0.93]) but not White (AOR, 0.95 [95% CI, 0.90-1.00]) individuals. In this cross-sectional study, racial and ethnic residential segregation was associated with worse prenatal mental health for Black individuals but better mental health for Asian, Hispanic, and White individuals. Policies reducing segregation and its impact may improve mental health outcomes in pregnant Black individuals.

Urban greenery distribution and its link to social vulnerability

Urban greenery plays a pivotal role in urban environments, impacting the environmental well-being and people’s comfort. Several studies have demonstrated a strong link between urban greenery and socioeconomic status but still lack an analysis of greenery on uneven distribution in social vulnerability. This study assesses how multi-level greenery rates distribute and associate the social vulnerability of people in 429 census tracts in the Seattle metropolitan area. It integrates multi-source urban informatics data, including remote sensing data and street view imagery, to identify various vegetation types. Then, it uses the interpretable machine learning model to explore the relationship between street-level green space distribution and community vulnerability. The results show a serious problem of uneven distribution of green spaces in urban centers since urban areas are built up and fragmented the landscape. Areas with low urban greening in the Seattle area have higher rates of poverty, unemployment, racial segregation, and housing overcrowding. Besides, greening features like street green views, which are more related to human perception, have a great association with social vulnerability. These findings contribute to the urban green spaces to better promote community equity and vulnerability.

The Divided House: Does Racial Segregation Predict Far-Right Protest in United States Metropolitan Areas?

The Divided House: Does Racial Segregation Predict Far-Right Protest in United States Metropolitan Areas?

Racial Residential Segregation, Redlining, and Health

Racial Residential Segregation, Redlining, and Health

REVISITING W.E.D. DU BOIS’S LEGACY IN THE HISTORIC STRUGGLE FOR RACIAL EMANCIPATION IN AMERICA OF THE 20TH CENTURY

This article explores William Edward Burghardt Du Bois’s legacy in the historical fight for African Americans’ emancipation in the United States of America. The study aims to delve into the contemporary relevance of Du Bois’s ideology in the quest for more racial equity and its impacts on Black people. His philosophy continues to shape discussions on race inequality and social justice since the perpetuation of racism and stereotypes against African Americans. His intellectual contributions, activism, and scholarship mark the hardest periods of racial segregation and discrimination. Actually, the struggle for the oppressed people’s intellectual prosperity is Du Bois’s most efficient alternatives for Blacks’ emancipation. In this process, he initiates the Niagara Movement in 1905 which merely fails. In 1909, the movement of N.A.A.C.P. is founded out of the inspiration from the previous one. In this regard, the current investigation utilizes the postcolonial theory to analyze and interpret his works and any documents related to Blacks’ activism. As main methodological framework, the qualitative approach allows to collect the textual data. As a result, the analysis has shown that Du Bois’s thoughts and convictions are timeless in the sense that his philosophy have positively impacted the interracial landscape in the American society

The Economic History &amp; Urban Geography of Race Relations in Detroit: Movement of Capital, White Resistance and Immobility of Black Labor

Detroit's intertwined history of deindustrialization and racial segregation is often explored separately. In The Origins of the Urban Crises (1996), Thomas Sugrue examines post-WWII job losses and housing discrimination without elucidating why and how the city came to experience the abrupt flight of capital in that period. Conversely, Murray and Schwartz's Wrecked (2019) details the catalysts for Detroit's deindustrialization but neglects its impact on the African-American community. This paper aims to bridge these perspectives by utilizing various secondary sources and archival evidence to analyze how concurrent discrimination and economic decline have maintained the persistent segregation between Detroit and its suburbs.