Future directions in residential segregation and health research: a multilevel approach

Inequitable Housing Practices and Youth Internalizing Symptoms: Mediation Via Perceptions of Neighborhood Cohesion

Disordered urban environments negatively impact mental health symptoms and disorders. While many aspects of the built environment have been studied, one influence may come from inequitable, discriminatory housing practices such as redlining, blockbusting, and gentrification. The patterns of disinvestment and reinvestment that follow may be an underlying mechanism predicting poor mental health. In this study, we examine pathways between such practices and internalizing symptoms (i.e., anxiety and depression) among a sample of African American youth in Baltimore, Maryland, considering moderation and mediation pathways including neighborhood social cohesion and sex. In our direct models, the inequitable housing practices were not significant predictors of social cohesion. In our sex moderation model, however, we find negative influences on social cohesion: for girls from gentrification, and for boys from blockbusting. Our moderated mediation model shows that girls in gentrifying neighborhoods who experience lower social cohesion have higher levels of internalizing symptoms. Likewise for boys, living in a formerly blockbusted neighborhood generates poorer social cohesion, which in turn drives higher rates of internalizing symptoms. A key implication of this work is that, in addition to standard measures of the contemporary built environment, considering other invisible patterns related to discriminatory and inequitable housing practices is important in understanding the types of neighborhoods where anxiety and depression are more prevalent. And while some recent work has discussed the importance of considering phenomena like redlining in considering long-term trajectories of neighborhoods, other patterns such as blockbusting and gentrification may be equally important.

Inequality and income segregation in Brazilian cities: a nationwide analysis

Residential segregation has brought significant challenges to cities worldwide and has important implications for health. This study aimed to assess income segregation in the 152 largest Brazilian cities in the SALURBAL Project. We identify specific socioeconomic characteristics related to residential segregation by income using the Brazilian demographic census of 2010 and calculated the income dissimilarity index (IDI) at the census tract level for each city, subsequently comparing it with Gini and other local socioeconomic variables. We evaluated our results’ robustness using a bootstrap correction to the IDI to examine the consequences of using different income cut-offs in substantial urban and regional inequalities. We identified a two minimum wage cut-off as the most appropriate. We found little evidence of upward bias in the calculation of the IDI regardless of the cut-off used. Among the ten most segregated cities, nine are in the Northeast region, with Brazil's highest income inequality and poverty. Our results indicate that the Gini index and poverty are the main variables associated with residential segregation.

Nursing Education and Social Determinants of Health: A Content Analysis

BACKGROUND

By integrating a social determinants of health (SDOH) perspective into nursing programs, there is potential to reduce health disparities shaped by these forces. However, little is known about the extent to which nursing program curricula include SDOH education.

METHOD

This study used course descriptions from 32 nursing programs in the United States to perform a frequency and content analysis on required course offerings. Healthy People 2020 was referenced to determine coding categories.

RESULTS

Although 18.5% of courses implicitly referenced SDOH, only 1% made explicit references to SDOH. Implicit references were likely to include themes such as cultural sensitivity and diversity, or social, cultural, economic, and political factors influencing health.

CONCLUSION

Although several required nursing course descriptions made implicit references to SDOH, explicit use of the term SDOH is still limited. Faculty, administrators, and program accrediting bodies must push to incorporate SDOH more thoroughly into nursing education. [J Nurs Educ. 2022;61(9):516-523.].

Gentrification, Mobility, and Exposure to Contextual Social Determinants of Health

This study uses individual level consumer trace data for 2006 residents of low- and moderate-income neighborhoods for the principal cities of the 100 largest metropolitan regions in the US using their location in 2006 and 2019 to examine exposure to the following four cSDOH: healthcare access (Medically Underserved Areas), socioeconomic condition (Area Deprivation Index), air pollution (NO2, PM 2.5 and PM10), and walkability (National Walkability Index). The results control for individual characteristics and initial neighborhood conditions. Residents of neighborhoods classified as gentrifying were exposed to more favorable cSDOH as of 2006 relative to residents of low- and moderate-income neighborhoods that were not gentrifying in terms of likelihood to be in a MUA, and level of local deprivation and walkability while experiencing similar level of air pollution. As a result of changes in neighborhood characteristics and differential mobility pattern, between 2006 and 2019, individuals who originally lived in gentrifying neighborhoods experienced worse changes in MUAs, ADI, and Walkability Index but a greater improvement in exposure to air pollutants. The negative changes are driven by movers, while stayers actually experience a relative improvement in MUAs and ADI and larger improvements in exposure to air pollutants. The findings indicate that gentrification may contribute to health disparities through changes in exposure to cSDOH through mobility to communities with worse cSDOH among residents of gentrifying neighborhoods although results in terms of exposure to health pollutants are mixed.

Income and Health Perceptions in an Economically Disadvantaged Community: A Qualitative Case Study from Central Florida

The link between income and adverse health outcomes continues to be problematic among racially and economically segregated urban communities. Although the consequences of living in areas of concentrated disadvantage have been delineated, there is a dearth of knowledge on how citizens from such areas perceive the effects of neighborhood characteristics on their individual and community health. This qualitative study explored how minority residents ( N = 23) viewed the intersectionality of income and health within their urban neighborhoods of economic distress. Focus groups were conducted using semi-structured interviews to better understand health concerns, needs, and barriers for individuals and their community. The main finding highlighted how residents desired to be healthy, but economic barriers prevented them from maintaining a healthy lifestyle and diet. While residing in a concentrated disadvantaged community, lack of income and power contributed to stress and fear that forced residents to prioritize survival over their wellbeing. Implications for improving individual and community health include operating within a systems framework to affect collective efficacy and empowerment among residents of low-income neighborhoods.

A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace

Considerable scholarly attention has been directed to the adverse health effects caused by residential segregation. We aimed to visualize the state-of-the-art residential segregation and health research to provide a reference for follow-up studies. Employing the CiteSpace software, we uncovered popular themes, research hotspots, and frontiers based on an analysis of 1211 English-language publications, including articles and reviews retrieved from the Web of Science Core Collection database from 1998 to 2022. The results revealed: (1) The Social Science & Medicine journal has published the most studies. Roland J. Thorpe, Thomas A. LaVeist, Darrell J. Gaskin, David R. Williams, and others are the leading scholars in residential segregation and health research. The University of Michigan, Columbia University, Harvard University, the Johns Hopkins School of Public Health, and the University of North Carolina play the most important role in current research. The U.S. is the main publishing country with significant academic influence. (2) Structural racism, COVID-19, mortality, multilevel modelling, and environmental justice are the top five topic clusters. (3) The research frontier of residential segregation and health has significantly shifted from focusing on community, poverty, infant mortality, and social class to residential environmental exposure, structural racism, and health care. We recommend strengthening comparative research on the health-related effects of residential segregation on minority groups in different socio-economic and cultural contexts.

In the eyes of the beholder: Race, place and health

Racial and ethnic health disparities are fundamentally connected to neighborhood quality. For example, as a result of historical systemic inequities, racial and ethnic minorities are more likely to live in neighborhoods with signs of physical disorder (e.g., graffiti, vandalism), and physically disordered environments have been noted to associate with increased risk for chronic illness. Degree of exposure to neighborhood disorder may alter peoples' perception of their neighborhoods, however, with those most exposed (e.g., historically marginalized racial/ethnic groups) perhaps perceiving less threat from signs of neighborhood disorder. The purpose of the present study was to examine the complex interrelationships between people and place by investigating whether exposure to neighborhood physical disorder relates to residents' (1) perceptions of neighborhood safety and (2) perceptions of their health, and (3) examining whether these links vary by race/ethnicity. Using 2016-2018 Health and Retirement Study (HRS) data, a representative sample of US adults aged 51 years and older (n = 9,080, mean age 68 years), we conducted a series of weighted linear regressions to examine the role of neighborhood disorder in relation to both perceived neighborhood safety and self-rated health. Results indicated that greater neighborhood physical disorder was statistically significantly related to feeling less safe among non-Hispanic Whites and Hispanics, but not non-Hispanic Blacks. Regarding self-rated health, neighborhood physical disorder was statistically significantly related to poorer health among all racial/ethnic groups. These findings suggest that, despite differential interpretation of neighborhood disorder as a threat to safety, this modifiable aspect of peoples' environment is related to poor health regardless of one's race/ethnicity.

Use of hospitals in the New York City Metropolitan Region, by race: how separate? How equal in resources and quality?

BACKGROUND

Although racial and ethnic minorities disproportionately use some hospitals, hospital-based racial and ethnic composition relative to geographic region and its association with quality indicators has not been systematically analyzed.

METHODS

We used four race and ethnicity categories: non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, and Asian/Pacific Islander/Alaskan Native/American Indian (API/AIAN), as well as a combined non-NHW category, from the 2010 (latest year publicly available) Medicare Institutional Provider & Beneficiary Summary public use file for 84 hospitals in the New York City region. We assessed the relative distribution of race and ethnicity across hospitals grouped at different geographic levels (region, county, hospital referral region [HRR], or hospital service areas [HSA]) using the dissimilarity index. Hospital characteristics included quality star ratings, essential professional services and diagnostic/treatment equipment, bed size, total expenses, and patients with dual Medicare and Medicaid enrollment. We assessed Spearman's rank correlation between hospital-based racial and ethnic composition and quality/structural measures.

RESULTS

Dissimilarity Index decreases from region (range 30.3-40.1%) to county (range 13.7-23.5%), HRR (range 10.5-27.5%), and HSA (range 12.0-16.9%) levels. Hospitals with larger non-NHW patients tended to have lower hospital ratings and higher proportions of dually-enrolled patients. They were also more likely to be safety net hospitals and non-federal governmental hospitals.

CONCLUSIONS

In the NYC metropolitan region, there is considerable hospital-based racial and ethnic segregation of Medicare patients among non-NHW populations, extending previous research limited to NHB. Availability of data on racial and ethnic composition of hospitals should be made publicly available for researchers and consumers.

Social Group Differences in Influencing Factors for Chinese Urban Residents’ Subjective Well-Being: From the Perspective of Social Stratification

With the great pressure of modern social life, the problem of residents’ subjective well-being has attracted scholars’ attention. Against the background of institutional transformation, China has a special social stratification structure. The socio-economic resources and living needs of different social classes are different, resulting in differences in the level of subjective well-being and the influencing factors for this. Taking Guangzhou as an example, based on the data of a household survey conducted in 2016, this paper obtains the social hierarchical structure through two-step clustering, and explores the differences between influencing factors for subjective well-being using multiple linear regression models. The clustering results divided Guangzhou urban residents into four classes: retirees, white-collar workers outside the system, manual workers and white-collar workers inside the system. The subjective well-being of white-collar workers inside the system and manual workers is high. The subjective well-being of white-collar workers outside the system is below the average value, and retirees have poor subjective well-being. The results of the regression analysis show that the subjective well-being of all social classes could be improved by active participation in fitness exercises, harmonious neighborhood relationships and a central residential location. Health-related factors such as physical health, sleeping time and density of neighborhood medical facilities, have a significant impact on manual workers’ subjective well-being. An increase in the density of neighborhood leisure facilities could help to improve the subjective well-being of white-collar workers outside the system. However, this would inhibit the subjective well-being of white-collar workers within the system. By revealing the differences in influencing factors for different social groups’ subjective well-being, the research conclusions could provide a reference for the formulation of targeted policies and measures to improve residents’ subjective well-being in urban China.

Where Is Air Quality Improving, and Who Benefits? A Study of PM2.5 and Ozone Over 15 Years

In the United States, concentrations of criteria air pollutants have declined in recent decades. Questions remain regarding whether improvements in air quality are equitably distributed across subpopulations. We assessed spatial variability and temporal trends in concentrations of particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and ozone (O3) across North Carolina from 2002-2016, and associations with community characteristics. Estimated daily PM2.5 and O3 concentrations at 2010 Census tracts were obtained from the Fused Air Quality Surface Using Downscaling archive and averaged to create tract-level annual PM2.5 and O3 estimates. We calculated tract-level measures of: racial isolation of non-Hispanic Black individuals, educational isolation of non-college educated individuals, the neighborhood deprivation index (NDI), and percentage of the population in urban areas. We fitted hierarchical Bayesian space-time models to estimate baseline concentrations of and time trends in PM2.5 and O3 for each tract, accounting for spatial between-tract correlation. Concentrations of PM2.5 and O3 declined by 6.4 μg/m3 and 13.5 ppb, respectively. Tracts with lower educational isolation and higher urbanicity had higher PM2.5 and more pronounced declines in PM2.5. Racial isolation was associated with higher PM2.5 but not with the rate of decline in PM2.5. Despite declines in pollutant concentrations, over time, disparities in exposure increased for racially and educationally isolated communities.

Residential Segregation, Social Cohesion, and Aging in Place: Health and Mental Health Inequities

BACKGROUND AND OBJECTIVES

Research shows that living in segregated neighborhoods may have deleterious health outcomes via social, physical, and socioeconomic contexts that deepen existing inequities. However, there has been limited scholarship examining the effects of segregation on older adults, despite an increasing focus on aging in place. Guided by the Ecological Model of Aging, we examined the effects of segregation on older adults' self-rated health and mental health, accounting for both individual characteristics and neighborhood opportunities and risks (e.g., social cohesion) and the potential moderating role of race and economic vulnerability.

RESEARCH DESIGN AND METHODS

We used data from the first four rounds of the National Health & Aging Trends Study (2011-2014) merged with tract-level census data for a final sample size of 3084 community-dwelling older adults in urban areas. We conducted multivariate regression analyses after conditioning on residential location selection variables.

RESULTS

There was no significant association between neighborhood segregation and self-rated health or between segregation and anxiety and depression symptoms. Consistent with the literature, perceived social cohesion was protective of health in each model.

DISCUSSION AND IMPLICATIONS

Our findings highlight the need for more rigorous research on segregation and older residents that utilize longitudinal and spatial data. Our findings also have implications for policies and programs that aim to support the ability to age in place for older adults who have different racial identities and live in different neighborhood contexts. Since social cohesion can be a protective factor for older adults' health and mental health, policymakers and practitioners should support initiatives to increase social cohesion.

Built and Social Environments, Environmental Justice, and Maternal Pregnancy Complications

Purpose of Review

The Environmental Justice Movement centers on addressing inequitable distribution of environmental harms in marginalized communities. It has been commonly understood as the disproportionate concentration of environmental pollutants or hazards. As such, much of the work on environmental harms and maternal pregnancy complications have focused on environmental toxins. This scoping review surveyed the literature exploring the built and social environment factors and maternal pregnancy complications among racially marginalized women and highlights how an environmental justice framework can inform policy interventions for maternal health inequities caused by structural racism in built and social environments.

Recent Findings

The literature examining the association between neighborhood level built and social environment factors and maternal pregnancy complications in the last five years is sparse. When excluding environmental toxins, we identified 16 studies that fit our criteria of neighborhood-level environmental exposure, with the majority focused on built environment factors, specifically proximity to greenspace and food environment.

Summary

We identified a few important gaps and opportunities for future research in this area. First is a need to explore additional built environment elements. Secondly, extensive research is needed on the social environment. Third is a critical understanding to incorporate structural racism and cultural perspectives to better understand these relationships in minoritized populations and highlight the intersection between environmental hazards concentration and their structural causes. Finally, an environmental justice framework is critically needed in the interpretation and translation of this literature to inform policy solutions that can counteract the harms in racially marginalized communities and improve health.

Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction

Extensive research shows that residential segregation has severe health consequences for racial and ethnic minorities. Most research to date has operationalized segregation in terms of either poverty or race/ethnicity rather than a synergy of these factors. A novel version of the Index of Concentration at the Extremes (ICERace-Income) specifically assesses racialized economic segregation in terms of spatial concentrations of racial and economic privilege (e.g., wealthy white people) versus disadvantage (e.g., poor Black people) within a given area. This multidimensional measure advances a more comprehensive understanding of residential segregation and its consequences for racial and ethnic minorities. The aim of this paper is to critically review the evidence on the association between ICERace-Income and health outcomes. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a rigorous search of academic databases for papers linking ICERace-Income with health. Twenty articles were included in the review. Studies focused on the association of ICERace-Income with adverse birth outcomes, cancer, premature and all-cause mortality, and communicable diseases. Most of the evidence indicates a strong association between ICERace-Income and each health outcome, underscoring income as a key mechanism by which segregation produces health inequality along racial and ethnic lines. Two of the reviewed studies examined racial disparities in comorbidities and health care access as potential explanatory factors underlying this relationship. We discuss our findings in the context of the extant literature on segregation and health and propose new directions for future research and applications of the ICERace-Income measure.

Racial/Ethnic Residential Segregation and the First Wave of SARS-CoV-2 Infection Rates: A Spatial Analysis of Four U.S. Cities

Previous research has linked racial/ethnic residential segregation to a number of poor health conditions, including infectious disease. Here, we examine how racial/ethnic residential segregation is related to the novel coronavirus, SARS-CoV-2. We examine infection rates by zip code level segregation in four major cities across the U.S.: New York City, Chicago, Houston, and San Diego. We also include a number of area-level Census variables in order to analyze how other factors may help account for the infection rate. We find that both Black and Latino residential clustering are significantly and positively related to a higher SARS-CoV-2 infection rate across all four cities, and that this effect is strong even when accounting for a number of other social conditions and factors that are salient to the transmission of infectious disease. As a result, we argue that neighborhood-level racial/ethnic patterning may serve as an important structural mechanism for disparities in SARS-CoV-2 infection.

Assessing Disparity Using Measures of Racial and Educational Isolation

We develop a local, spatial measure of educational isolation (EI) and characterize the relationship between EI and our previously developed measure of racial isolation (RI). EI measures the extent to which non-college educated individuals are exposed primarily to other non-college educated individuals. To characterize how the RI-EI relationship varies across space, we propose a novel measure of local correlation. Using birth records from the State of Michigan (2005–2012), we estimate associations between RI, EI, and birth outcomes. EI was lower in urban communities and higher in rural communities, while RI was highest in urban areas and parts of the southeastern United States (US). We observed greater heterogeneity in EI in low RI tracts, especially in non-urban tracts; residents of high RI tracts are likely to be both educationally and racially isolated. Associations were also observed between RI, EI, and gestational length (weeks) and preterm birth (PTB). For example, moving from the lowest to the highest quintile of RI was associated with a 1.11 (1.07, 1.15) and 1.16 (1.10, 1.22) increase in odds of PTB among NHB and NHW women, respectively. Moving from the lowest to the highest quintile of EI was associated with a 1.07 (1.02, 1.12) and 1.03 (1.00, 1.05) increase in odds of PTB among NHB and NHW women, respectively. This work provides three tools (RI, EI, and the local correlation measure) to researchers and policymakers interested in how residential isolation shapes disparate outcomes.

Explaining the Black-White Disparity in Preterm Birth: A Consensus Statement From a Multi-Disciplinary Scientific Work Group Convened by the March of Dimes

In 2017-2019, the March of Dimes convened a workgroup with biomedical, clinical, and epidemiologic expertise to review knowledge of the causes of the persistent Black-White disparity in preterm birth (PTB). Multiple databases were searched to identify hypothesized causes examined in peer-reviewed literature, 33 hypothesized causes were reviewed for whether they plausibly affect PTB and either occur more/less frequently and/or have a larger/smaller effect size among Black women vs. White women. While definitive proof is lacking for most potential causes, most are biologically plausible. No single downstream or midstream factor explains the disparity or its social patterning, however, many likely play limited roles, e.g., while genetic factors likely contribute to PTB, they explain at most a small fraction of the disparity. Research links most hypothesized midstream causes, including socioeconomic factors and stress, with the disparity through their influence on the hypothesized downstream factors. Socioeconomic factors alone cannot explain the disparity's social patterning. Chronic stress could affect PTB through neuroendocrine and immune mechanisms leading to inflammation and immune dysfunction, stress could alter a woman's microbiota, immune response to infection, chronic disease risks, and behaviors, and trigger epigenetic changes influencing PTB risk. As an upstream factor, racism in multiple forms has repeatedly been linked with the plausible midstream/downstream factors, including socioeconomic disadvantage, stress, and toxic exposures. Racism is the only factor identified that directly or indirectly could explain the racial disparities in the plausible midstream/downstream causes and the observed social patterning. Historical and contemporary systemic racism can explain the racial disparities in socioeconomic opportunities that differentially expose African Americans to lifelong financial stress and associated health-harming conditions. Segregation places Black women in stressful surroundings and exposes them to environmental hazards. Race-based discriminatory treatment is a pervasive stressor for Black women of all socioeconomic levels, considering both incidents and the constant vigilance needed to prepare oneself for potential incidents. Racism is a highly plausible, major upstream contributor to the Black-White disparity in PTB through multiple pathways and biological mechanisms. While much is unknown, existing knowledge and core values (equity, justice) support addressing racism in efforts to eliminate the racial disparity in PTB.

The geography of ethnoracial low birth weight inequalities in the United States

In this article, we describe, decompose, and examine correlates of the geography of ethnoracial inequalities in low birth weight (LBW) in the United States. Drawing on the population of singleton births to U.S.-born White, Black, Latinx, and Native American parents in the first decade of the twenty-first century (N = 28.2 million births), we calculate county-level LBW rates and rate ratios. Results demonstrate a stark racial hierarchy in which Black infants experience the most significant disadvantage, but we also document substantial local-level variation organized in what we call a regionalized patchwork of inequality, with high-disparity counties bordering low-disparity counties coupled with regional clustering. Examining the component parts of local disparities - the LBW rates for Whites and groups of color - we find strong evidence that spatial variation in ethnoracial LBW inequalities is driven by greater variation in infants of color's health across counties relative to Whites. Further, LBW rates for groups of color are only weakly to moderately correlated with Whites' LBW rates, indicating that the same contexts can produce racially divergent health outcomes. Examining contextual factors that predict LBW disparities, we find that more segregated, socioeconomically unequal, and urban counties have larger LBW disparities. We conclude by positing an approach to health disparities that conceptualizes ethnoracial differences in health as fundamentally relational and spatial phenomena produced by systems of White advantage.

Black-White disparities in women's physical health: The role of socioeconomic status and racism-related stressors

Black women have elevated rates of multiple physical illnesses and conditions when compared to White women - disparities that are only partially explained by socioeconomic status (SES). Consequently, scholars have called for renewed attention to the significance of racism-related stress in explaining Black-White disparities in women's physical health. Drawing on the biopsychosocial model of racism as a stressor and the intersectionality perspective, this study examines the extent to which SES and racism-related stressors - i.e., discrimination, criminalization, and adverse neighborhood conditions - account for disparities in self-rated physical health and chronic health conditions between Black and White women. Results indicate that Black women have lower SES and report greater exposure to racism-related stressors across all domains. Moreover, I find that SES and racism-related stressors jointly account for more than 90% of the Black-White disparity in women's self-rated physical health and almost 50% of the Black-White disparity in chronic health conditions. Theoretical and policy implications of these findings are discussed.

Racial Segregation and Respiratory Outcomes among Urban Black Residents with and at Risk of Chronic Obstructive Pulmonary Disease

Rationale: Racial residential segregation has been associated with worse health outcomes, but the link with chronic obstructive pulmonary disease (COPD) morbidity has not been established.Objectives: To investigate whether racial residential segregation is associated with COPD morbidity among urban Black adults with or at risk of COPD.Methods: Racial residential segregation was assessed using isolation index, based on 2010 decennial census and baseline address, for Black former and current smokers in the multicenter SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), a study of adults with or at risk for COPD. We tested the association between isolation index and respiratory symptoms, physiologic outcomes, imaging parameters, and exacerbation risk among urban Black residents, adjusting for established COPD risk factors, including smoking. Additional mediation analyses were conducted for factors that could lie on the pathway between segregation and COPD outcomes, including individual and neighborhood socioeconomic status, comorbidity burden, depression/anxiety, and ambient pollution.Measurements and Main Results: Among 515 Black participants, those residing in segregated neighborhoods (i.e., isolation index ⩾0.6) had worse COPD Assessment Test score (β = 2.4; 95% confidence interval [CI], 0.7 to 4.0), dyspnea (modified Medical Research Council scale; β = 0.29; 95% CI, 0.10 to 0.47), quality of life (St. George's Respiratory Questionnaire; β = 6.1; 95% CI, 2.3 to 9.9), and cough and sputum (β = 0.8; 95% CI, 0.1 to 1.5); lower FEV1% predicted (β = -7.3; 95% CI, -10.9 to -3.6); higher rate of any and severe exacerbations; and higher percentage emphysema (β = 2.3; 95% CI, 0.7 to 3.9) and air trapping (β = 3.8; 95% CI, 0.6 to 7.1). Adverse associations attenuated with adjustment for potential mediators but remained robust for several outcomes, including dyspnea, FEV1% predicted, percentage emphysema, and air trapping.Conclusions: Racial residential segregation was adversely associated with COPD morbidity among urban Black participants and supports the hypothesis that racial segregation plays a role in explaining health inequities affecting Black communities.

Neighborhoods with Greater Prevalence of Minority Residents Have Lower Continuous Positive Airway Pressure Adherence

Rationale: Limited data suggest racial disparities in continuous positive airway pressure (CPAP) adherence exist.Objectives: To assess whether CPAP adherence varies by neighborhood racial composition at a national scale.Methods: Telemonitoring data from a CPAP manufacturer database were used to assess adherence in adult patients initiating CPAP therapy between November 2015 and October 2018. Mapping ZIP code to ZIP code tabulation areas, age- and sex-adjusted CPAP adherence data at a neighborhood level was computed as a function of neighborhood racial composition. Secondary analyses adjusted for neighborhood education and poverty.Measurements and Main Results: Among 787,236 patients living in 26,180 ZIP code tabulation areas, the prevalence of CPAP adherence was 1.3% (95% confidence interval [CI], 1.0-1.6%) lower in neighborhoods with high (⩾25%) versus low (<1%) percentages of Black residents and 1.2% (95% CI, 0.9-1.5%) lower in neighborhoods with high versus low percentages of Hispanic residents (P < 0.001 for both), even after adjusting for neighborhood differences in poverty and education. Mean CPAP usage was similar across neighborhoods for the first 2 days, but by 90 days, differences in CPAP usage increased to 22 minutes (95% CI, 18-27 min) between neighborhoods with high versus low percentages of Black residents and 22 minutes (95% CI 17-27 min) between neighborhoods with high versus low percentages of Hispanic residents (P < 0.001 for both).Conclusions: CPAP adherence is lower in neighborhoods with greater proportions of Black and Hispanic residents, independent of education or poverty. These differences lead to a lower likelihood of meeting insurance coverage requirements for CPAP therapy, potentially exacerbating sleep health disparities.

Neighborhood-level Asian American Populations, Social Determinants of Health, and Health Outcomes in 500 US Cities

Introduction

The US Asian American (AA) population is projected to double by 2050, reaching ~43 million, and currently resides primarily in urban areas. Despite this, the geographic distribution of AA subgroup populations in US cities is not well-characterized, and social determinants of health (SDH) and health measures in places with significant AA/AA subgroup populations have not been described. Our research aimed to: 1) map the geographic distribution of AAs and AA subgroups at the city- and neighborhood- (census tract) level in 500 large US cities (population ≥66,000); 2) characterize SDH and health outcomes in places with significant AA or AA subgroup populations; and 3) compare SDH and health outcomes in places with significant AA or AA subgroup populations to SDH and health outcomes in places with significant non-Hispanic White (NHW) populations.

Methods

Maps were generated using 2019 Census 5-year estimates. SDH and health outcome data were obtained from the City Health Dashboard, a free online data platform providing more than 35 measures of health and health drivers at the city and neighborhood level. T-tests compared SDH (unemployment, high-school completion, childhood poverty, income inequality, racial/ethnic segregation, racial/ethnic diversity, percent uninsured) and health outcomes (obesity, frequent mental distress, cardiovascular disease mortality, life expectancy) in cities/neighborhoods with significant AA/AA subgroup populations to SDH and health outcomes in cities/neighborhoods with significant NHW populations (significant was defined as top population proportion quintile). We analyzed AA subgroups including Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, and Other AA.

Results

The count and proportion of AA/AA subgroup populations varied substantially across and within cities. When comparing cities with significant AA/AA subgroup populations vs NHW populations, there were few meaningful differences in SDH and health outcomes. However, when comparing neighborhoods within cities, areas with significant AA/AA subgroup vs NHW populations had less favorable SDH and health outcomes.

Conclusion

When comparing places with significant AA vs NHW populations, city-level data obscured substantial variation in neighborhood-level SDH and health outcome measures. Our findings emphasize the dual importance of granular spatial and AA subgroup data in assessing the influence of SDH in AA populations.

Neighborhood Conditions and Recurrent Emergency Department Utilization by Children in the United States

OBJECTIVE

To determine the associations of social and physical neighborhood conditions with recurrent emergency department (ED) utilization by children in the US.

STUDY DESIGN

This cross-sectional study was conducted with the National Survey of Children's Health from 2016 to 2018 to determine the associations of neighborhood characteristics of cohesion, safety, amenities, and detractors with the proportions of children aged 1-17 years with recurrent ED utilization, defined as 2 or more ED visits during the past 12 months. A multivariable regression model was used to determine the independent association of each neighborhood characteristic with recurrent ED utilization controlling for individual-level characteristics.

RESULTS

In this study of 98 711 children weighted to a population of 70 million nationally, children had significantly greater rates of recurrent ED utilization if they lived in neighborhoods that were not cohesive, were not safe, or had detractors present (all P < .001). With adjustment for individual-level covariates and the other neighborhood characteristics, only neighborhood detractors were independently associated with recurrent ED utilization (1 detractor: aOR 1.32, 95% CI 1.03-1.68; 2 or 3 detractors: aOR 1.37, 95% CI 1.04-1.81).

CONCLUSIONS

Among neighborhood characteristics, the presence of physical detractors such as rundown housing and vandalism was most strongly associated with recurrent ED utilization by children. Negative attributes of the built environment may be a potential target for neighborhood-level, place-based interventions to alleviate disparities in child healthcare utilization.

Racial segregation and cognitive function among older adults in the United States: Findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study

OBJECTIVES

Residential segregation is one of the fundamental features of health disparities in the United States. Yet little research has examined how living in segregated metropolitan areas is related to cognitive function and cognitive decline with age. We examined the association between segregation at the Metropolitan Statistical Area (MSA) level and trajectories of age-related cognitive function.

METHOD

Using data from Black and White older adults in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study (n=18,913), we employed linear growth curve models to examine how living in racially segregated MSAs at baseline, measured by the degree of Non-Hispanic Black [NHB] isolation and NHB dissimilarity, was associated with trajectories of age-related cognitive function and how the associations varied by race and education.

RESULTS

Living in MSAs with greater levels of isolation was associated with lower cognitive function (b=-0.093, p<0.05) but was not associated with rates of change in cognitive decline with age. No effects of living in isolated MSAs were found for those with at least a high school education, but older adults with less than a high school education had lower cognitive function in MSAs with greater isolation (b=-0.274, p<0.05). The degree of dissimilarity was not associated with cognitive function. The association between segregation and cognitive function did not vary by race.

DISCUSSION

Metropolitan segregation was associated with lower cognitive function among older adults, especially for those with lower education living in racially isolated MSAs. This suggests complex associations between individual socioeconomic status, place, and cognitive health.

Causes of Phenotypic Variability and Disabilities after Prenatal Viral Infections

Prenatal viral infection can lead to a spectrum of neurodevelopmental disabilities or fetal demise. These can include microencephaly, global developmental delay, intellectual disability, refractory epilepsy, deafness, retinal defects, and cortical-visual impairment. Each of these clinical conditions can occur on a semi-quantitative to continuous spectrum, from mild to severe disease, and often as a collective of phenotypes. Such serious outcomes result from viruses’ overlapping neuropathology and hosts’ common neuronal and gene regulatory response to infections. The etiology of variability in clinical outcomes is not yet clear, but it may be related to viral, host, vector, and/or environmental risk and protective factors that likely interact in multiple ways. In this perspective of the literature, we work toward understanding the causes of phenotypic variability after prenatal viral infections by highlighting key aspects of the viral lifecycle that can affect human disease, with special attention to the 2015 Zika pandemic. Therefore, this work offers important insights into how viral infections and environmental teratogens affect the prenatal brain, toward our ultimate goal of preventing neurodevelopmental disabilities.

Racial/ethnic and educational differences in perceptions and use of a new urban trail

ABSTRACTObjectives: Obesity and its associated health risks are on the rise throughout the US due, in part, to an overall decline in physical activity. Although public green spaces, and in particular trails, show promise as population-level interventions to promote physical activity among adults, these amenities may have disparate impacts across racial/ethnic and socioeconomic groups within a community.Design: This cross-sectional study employed an intercept survey of users of a newly opened $95 million rail-to-trail development in Chicago, IL, immediately after its opening and one year later to examine differences by race/ethnicity and educational attainment in trail use behaviors, motivations for trail use, safety concerns, and change in physical activity attributed to the trail.Results: Although the overall impact of the trail was positive, Latino users were more likely to report frequent use (4+ times/week), health motivations for using the trail, and increased physical activity attributed to the trail. However, Latino users were also more likely to indicate safety concerns and less likely to use areas of the trail in predominately white communities, even after controlling for community of residence. The least educated trail users frequented fewer trail areas and were less likely to indicate health motivations for trail use.Conclusions: Although urban trails represent an opportunity for cost-effective community-wide health promotion, they may not benefit all groups equally. Urban trails may have particularly promising benefits for Latino users, but safety concerns and the possibility of community racial segregation being replicated on trails should be addressed to maximize and sustain these benefits. Less educated residents in particular may not benefit from such projects as intended.

Mapping Housing Laws in the United States: A Resource for Evaluating Housing Policies' Impacts on Health

CONTEXT

Safe, stable housing is essential to good health. Housing hazards, including mold, vermin, and lead, can contribute to the development or exacerbation of chronic illnesses such as asthma and neurological disorders. In addition, eviction has been associated with poor physical and mental health outcomes. There are many laws aimed at maintaining healthy housing, or protecting access to stable housing, but their impacts are mostly unknown.

POLICY

Using scientific legal mapping, the Center for Public Health Law Research (the Center) created legal data sets on state landlord-tenant laws, state fair housing laws, and city nuisance property ordinances. These data sets track the incidence and key features of these laws, creating legal data that can be used for evaluation. Some important elements of these laws include property maintenance duties; protections against retaliation; protected classes under state fair housing laws; discriminatory acts prohibited by state fair housing laws; types of conduct that constitute nuisance activity; and required nuisance abatement actions.

IMPLEMENTATION AND/OR DISSEMINATION

As of August 1, 2017, all 50 states and the District of Columbia have a state landlord-tenant law; all states except Mississippi have a state fair housing law; and 37 of the 40 most populous US cities have a local nuisance property ordinance.

EVALUATION

Evaluation of these laws is needed to determine their effectiveness and impacts and to spread the use of evidence-based policies. The creation of these legal data sets is the first step toward evaluation.

DISCUSSION

Law can play an important role in promoting healthy housing, but evaluating the law is essential to determining its impact. Tracking the prevalence and key elements of laws is an important first step in conducting evaluation. The legal data created by the Center can be used to evaluate the efficacy and impacts of state landlord-tenant laws, state fair housing protections, and city nuisance property ordinances.

Affordable but Inaccessible? Contraception Deserts in the US States

CONTEXT

This article focuses on whether, and the extent to which, the resources made available by Title X-the only federal policy aimed specifically at reproductive health care-are equitably accessible. Here, equitable means that barriers to accessing services are lowest for those people who need them most.

METHODS

The authors use geographic information systems (GIS) and statistical/spatial analysis (specifically the integrated two-step floating catchment area [I2SFCA] method) to study the spatial and nonspatial accessibility of Title X clinics in 2018.

FINDINGS

The authors find that contraception deserts vary across the states, with between 17% and 53% of the state population living in a desert. Furthermore, they find that low-income people and people of color are more likely to live in certain types of contraception deserts.

CONCLUSIONS

The analyses reveal not only a wide range of sizes and shapes of contraception deserts across the US states but also a range of severity of inequity.

Racism and Kidney Health: Turning Equity Into a Reality

Kidney disease continues to manifest stark racial inequities in the United States, revealing the entrenchment of racism and bias within multiple facets of society, including in our institutions, practices, norms, and beliefs. In this perspective, we synthesize theory and evidence to describe why an understanding of race and racism is integral to kidney care, providing examples of how kidney health disparities manifest interpersonal and structural racism. We then describe racialized medicine and "colorblind" approaches as well as their pitfalls, offering in their place suggestions to embed antiracism and an "equity lens" into our practice. We propose examples of how we can enhance kidney health equity by enhancing our structural competency, using equity-focused race consciousness, and centering investigation and solutions around the needs of the most marginalized. To achieve equitable outcomes for all, our medical institutions must embed antiracism and equity into all aspects of advocacy, policy, patient/community engagement, educational efforts, and clinical care processes. Organizations engaged in kidney care should commit to promoting structural equity and eliminating potential sources of bias across referral practices, guidelines, research agendas, and clinical care. Kidney care providers should reaffirm our commitment to structurally competent patient care and educational endeavors in which empathy and continuous self-education about social drivers of health and inequity, racism, and bias are integral. We envision a future in which kidney health equity is a reality for all. Through bold collective and sustained investment, we can achieve this critical goal.

Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States

This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infection rates for the overall population and on racial and ethnic mortality gaps. To account for potential confounding, I assemble a dataset that includes 50 county-level factors that are potentially related to residential segregation and COVID-19 infection and mortality rates. These factors are grouped into eight categories: demographics, density and potential for public interaction, social capital, health risk factors, capacity of the health care system, air pollution, employment in essential businesses, and political views. I use double-lasso regression, a machine learning method for model selection and inference, to select the most important controls in a statistically principled manner. Counties that are 1 SD above the racial segregation mean have experienced mortality and infection rates that are 8% and 5% higher than the mean. These differences represent an average of four additional deaths and 105 additional infections for each 100,000 residents in the county. The analysis of mortality gaps shows that, in counties that are 1 SD above the Black-White segregation mean, the Black mortality rate is 8% higher than the White mortality rate. Sensitivity analyses show that an unmeasured confounder that would overturn these findings is outside the range of plausible covariates.

The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States

One in every twenty-five persons in America is a racial/ethnic minority who lives in a rural area. Our objective was to summarize how racism and, subsequently, the social determinants of health disproportionately affect rural racial/ethnic minority populations, provide a review of the cancer disparities experienced by rural racial/ethnic minority groups, and recommend policy, research, and intervention approaches to reduce these disparities. We found that rural Black and American Indian/Alaska Native populations experience greater poverty and lack of access to care, which expose them to greater risk of developing cancer and experiencing poorer cancer outcomes in treatment and ultimately survival. There is a critical need for additional research to understand the disparities experienced by all rural racial/ethnic minority populations. We propose that policies aim to increase access to care and healthcare resources for these communities. Further, that observational and interventional research should more effectively address the intersections of rurality and race/ethnicity through reduced structural and interpersonal biases in cancer care, increased data access, more research on newer cancer screening and treatment modalities, and continued intervention and implementation research to understand how evidence-based practices can most effectively reduce disparities among these populations.

Racial Segregation, Testing Site Access, and COVID-19 Incidence Rate in Massachusetts, USA

The U.S. has merely 4% of the world population, but contains 25% of the world's COVID-19 cases. Since the COVID-19 outbreak in the U.S., Massachusetts has been leading other states in the total number of COVID-19 cases. Racial residential segregation is a fundamental cause of racial disparities in health. Moreover, disparities of access to health care have a large impact on COVID-19 cases. Thus, this study estimates racial segregation and disparities in testing site access and employs economic, demographic, and transportation variables at the city/town level in Massachusetts. Spatial regression models are applied to evaluate the relationships between COVID-19 incidence rate and related variables. This is the first study to apply spatial analysis methods across neighborhoods in the U.S. to examine the COVID-19 incidence rate. The findings are: (1) Residential segregations of Hispanic and Non-Hispanic Black/African Americans have a significantly positive association with COVID-19 incidence rate, indicating the higher susceptibility of COVID-19 infections among minority groups. (2) Non-Hispanic Black/African Americans have the shortest drive time to testing sites, followed by Hispanic, Non-Hispanic Asians, and Non-Hispanic Whites. The drive time to testing sites is significantly negatively associated with the COVID-19 incidence rate, implying the importance of the accessibility of testing sites by all populations. (3) Poverty rate and road density are significant explanatory variables. Importantly, overcrowding represented by more than one person per room is a significant variable found to be positively associated with COVID-19 incidence rate, suggesting the effectiveness of social distancing for reducing infection. (4) Different from the findings of previous studies, the elderly population rate is not statistically significantly correlated with the incidence rate because the elderly population in Massachusetts is less distributed in the hotspot regions of COVID-19 infections. The findings in this study provide useful insights for policymakers to propose new strategies to contain the COVID-19 transmissions in Massachusetts.

Realtors' Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective

Realtors match home-seekers with neighborhoods that have built and social characteristics they desire to pursue active lifestyles. Studies have yet to explore realtors’ perspectives on neighborhood design that supports active living. Using qualitative description, our study was to explore the perceptions and understandings of neighborhood design (walkability, healthy, bike-ability, vibrancy, and livability) among urban residential realtors. Nineteen (6 men; 13 women; average age 48 years) self-identified residential realtors from Calgary, Edmonton, and Lethbridge (Canada) completed semi-structured telephone interviews. Content analysis identified themes from the interview data. Specifically, walkability was described as: perceived preferences, destinations and amenities, and connections; a healthy community was described as: encourages outdoor activities, and promotes social homogeneity; bike-ability was described as: bike-ability attributes, and was controversial; vibrancy was described as: community feel, and evidence of life; and livability was described as: subjective, and preferences and necessities. Our findings can inform the refinement of universal definitions and concepts used to in neighborhood urban design.

Examining the Association of Socioeconomic Position with Microcephaly and Delayed Childhood Neurodevelopment among Children with Prenatal Zika Virus Exposure

Increased rates of Zika virus have been identified in economically deprived areas in Brazil at the population level; yet, the implications of the interaction between socioeconomic position and prenatal Zika virus exposure on adverse neurodevelopmental outcomes remains insufficiently evaluated at the individual level. Using data collected between September 2015 and September 2019 from 163 children with qRT-PCR and/or IgM-confirmed prenatal exposure to Zika virus participating in a prospective cohort study in Rio de Janeiro, Brazil (NCT03255369), this study evaluated the relationships of socioeconomic indicators with microcephaly at birth and Bayley-III neurodevelopmental scores during the early life course. Adjusted logistic regression models indicated increased odds of microcephaly in children born to families with lower household income (OR, 95% CI: 3.85, 1.43 to 10.37) and higher household crowding (OR, 95% CI: 1.83, 1.16 to 2.91), while maternal secondary and higher education appeared to have a protective effect for microcephaly compared to primary education (OR, 95% CI: 0.33, 0.11 to 0.98 and 0.10, 0.03 to 0.36, respectively). Consistent with these findings, adjusted linear regression models indicated lower composite language (−10.78, 95% CI: −19.87 to −1.69), motor (−10.45, 95% CI: −19.22 to −1.69), and cognitive (−17.20, 95% CI: −26.13 to −8.28) scores in children whose families participated in the Bolsa Família social protection programme. As such, the results from this investigation further emphasise the detrimental effects of childhood disadvantage on human health and development by providing novel evidence on the link between individual level socioeconomic indicators and microcephaly and delayed early life neurodevelopment following prenatal Zika virus exposure.

Relationship of neighborhood social determinants of health on racial/ethnic mortality disparities in US veterans-Mediation and moderating effects

OBJECTIVE

To examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation.

DATA SOURCES

Electronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census.

STUDY DESIGN

Racial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions.

PRINCIPAL FINDINGS

Mortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations.

CONCLUSIONS

Neighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.

Geosocial Factors Associated With Adherence to Statin Medications

Background:

Individual patient characteristics, social determinants, and geographic access may be associated with patients engaging in appropriate health behaviors.

Objective:

To assess the relationship between statin adherence, geographic accessibility to pharmacies, and neighborhood sociodemographic characteristics in Michigan.

Methods:

The proportion of days covered (PDC) was calculated from pharmacy claims of a large insurer of adults who had prescriptions for statins between July 2009 and June 2010. A PDC ≥0.80 was defined as adherent. The predictor of interest was a ZIP code tabulation area (ZCTA)-level measure of geographic accessibility to pharmacies, measured using a method that integrates availability and access into a single index. We fit unadjusted models as well as adjusted models controlling for age, sex, and ZCTA-level measures of socioeconomic status (SES), racial isolation (RI) of non-Hispanic blacks, and urbanicity.

Results:

More than 174 000 patients’ claims data were analyzed. In adjusted models, pharmacy access was not associated with adherence (0.99; 95% CI: 0.96, 1.03). Greater RI (0.87; 95% CI: 0.85, 0.88) and urban status (0.93; 95% CI: 0.89, 0.96) were associated with lower odds of adherence. Individuals in ZCTAs with higher SES had higher odds of adherence, as were men and older age groups.

Conclusion and Relevance:

Adherence to statin prescriptions was lower for patients living in areas characterized as being racially segregated or lower income. Initiating interventions to enhance adherence, informed by understanding the social and systematic barriers patients face when refilling medication, is an important public health initiative that pharmacists practicing in these areas may undertake.

Racial/ethnic segregation and health disparities: Future directions and opportunities

Health researchers have investigated the association between racial segregation and racial health disparities with multilevel approaches. This study systematically reviews these multilevel studies and identifies broad trends and potential directions for future research on racial segregation and health disparities in the US. After searching databases including CINAHL and MEDLINE, we identified and systematically reviewed 66 articles published between 2003 and 2019 and found four major gaps in racial/ethnic segregation and health disparities: (a) the concept of segregation was rarely operationalized at the neighborhood level, (b) except for the evenness and exposure dimension, other dimensions of segregation are overlooked, (c) little attention was paid to the segregation between whites and non-black minorities, particularly Hispanics and Asians, and (d) mental health outcomes were largely absent. Future directions and opportunities include: First, other segregation dimensions should be explored. Second, the spatial scales for segregation measures should be clarified. Third, the theoretical frameworks for black and non-black minorities should be tested. Fourth, mental health, substance use, and the use of mental health care should be examined. Fifth, the long-term health effect of segregation has to be investigated, and finally, other competing explanations for why segregation matters at the neighborhood level should be answered.

The Diverging Impacts of Segregation on Obesity Risk by Nativity and Neighborhood Poverty Among Hispanic Americans

While racial residential segregation is frequently cited as a fundamental cause of racial health disparities, its health impacts for Hispanic Americans remain unclear. We argue that several shortcomings have limited our understanding of how segregation influences Hispanic health outcomes, most notably a failure to assess the possible diverging impacts of segregation by neighborhood poverty level and the conflation of segregation with ethnic enclaves. We use multiple years of restricted geocoded data from a nationally representative sample of the US population (2006-2013 National Health Interview Survey) to investigate the association between metropolitan-level Hispanic segregation and obesity by nativity and neighborhood poverty level. We find segregation to be protective against obesity for Hispanic immigrants who reside in low poverty neighborhoods. For Hispanic immigrants residing in higher neighborhood poverty, no association between segregation and obesity was found. Among US-born Hispanics, we observe an increased risk of obesity-but only for those in high poverty neighborhoods. No association was found for those in low and medium neighborhood poverty. Results provide evidence to indicate that the relationship between segregation and health for Hispanics is not uniform within a metropolitan area. In the case of obesity, the consequences of metropolitan Hispanic segregation can be either protective, null, or deleterious depending not only on local neighborhood context but also on nativity.

Racial Segregation Across U.S. Nursing Homes: A Systematic Review of Measurement and Outcomes

BACKGROUND AND OBJECTIVES

Nursing homes remain subjected to institutional racial segregation in the United States. However, a standardized approach to measure segregation in nursing homes does not appear to be established. A systematic review was conducted to identify all formal measurement approaches to evaluate racial segregation among nursing home facilities, and to then identify the association between segregation and quality of care in this context.

RESEARCH DESIGN AND METHODS

PubMed, Scopus, and Web of Science databases were searched (January 2018) for publications relating to nursing home segregation. Following the PRISMA guidelines, studies were included that formally measured racial segregation of nursing homes residents across facilities with regional-level data.

RESULTS

Eight studies met the inclusion criteria. Formal segregation measures included the Dissimilarity Index, Disparities Quality Index, Modified Thiel's Entropy Index, Gini coefficient, and adapted models. The most common data sources were the Minimum Data Set (MDS; resident-level), the Certification and Survey Provider Enhanced Reporting data (CASPER; facility-level), and the Area Resource File/ U.S. Census Data (regional-level). Most studies showed evidence of racial segregation among U.S. nursing home facilities and documented a negative impact of segregation on racial minorities and facility-level quality outcomes.

DISCUSSION AND IMPLICATIONS

The measurement of racial segregation among nursing homes is heterogeneous. While there are limitations to each methodology, this review can be used as a reference when trying to determine the best approach to measure racial segregation in future studies. Moreover, racial segregation among nursing homes remains a problem and should be further evaluated.

Neighborhood Matters: Impact on Time Living with Detectable Viral Load for New Adult HIV Diagnoses in South Carolina

We examined the association between neighborhood disadvantages and percent person-time spent with increased transmission risk (VL > 1500 copies/ml) for people living with HIV (PLWH) in South Carolina (SC). The study population included PLWH diagnosed between 1/1/2014 and 12/31/2017, with two or more VL tests 6 months apart (n = 2076). Proportion of time living with VL > 1500 copies/ml after linkage to care was determined. Neighborhood disadvantage was assessed using the area deprivation index (ADI). A generalized linear model was fit to generate parameter estimates for time spent with detectable VL. Almost half of PLWH (49.5%) lived with VL > 1500 copies/ml for some time (median days = 46). Young adults and PLWH who injected drugs experienced the highest proportion for time living with detectable VL. Targeted programs are needed to improve VL suppression, reduce new transmissions and decrease disparities in HIV outcomes in all neighborhoods.

Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation

OBJECTIVE

To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.

STUDY DESIGN

Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.

METHODS

American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1-10), number of neighboring hospitals, and rural status.

RESULTS

Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.

CONCLUSION

These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.

The Psychological Cost of Racial Discrimination: What is the Role of Residential Segregation?

Racial discrimination is known to harm health, but to what extent the health burden of racial discrimination is contingent on residential contexts is understudied. This study examines the moderating role of racial residential segregation in the relationship between racial discrimination and psychological distress. Nationally representative data from the 2002-2003 National Latino and Asian American Study were merged with metropolitan-level data from the U.S. Census. Logistic regression models were used to test the independent and joint contributions of racial discrimination and residential segregation to psychological distress among Asians and Latinxs, stratified by nativity status. Higher residential segregation (measured by the interaction index) is associated with lower odds of distress among U.S.-born Asians but not among other groups. As for the moderating effect, residential segregation exacerbates the positive association between discrimination and distress among foreign-born Asians (measured by the dissimilarity index) and foreign-born Latinxs (measured by the interaction index), but not among their respective U.S.-born counterparts. Taken together, the present study highlights that strategies to mitigate the psychological burden of racial discrimination need to move beyond individual-level efforts to incorporate neighborhood-based approaches. In particular, results provide empirical support for efforts to reduce residential segregation, particularly among immigrants who are discriminated against.

Neighborhood context and non-small cell lung cancer outcomes in Florida non-elderly patients by race/ethnicity

OBJECTIVE

The purpose of this study was to investigate the relationship between neighborhood environment and lung cancer outcomes among Florida residents younger than 65 years of age.

METHODS AND MATERIALS

This was a retrospective cohort study that included patients diagnosed with non-small cell lung cancer (NSCLC) in Florida from January 2005 to December 2014 (n = 22,750). Multi-level, mixed-effect logistic regression models were used for two outcomes: receipt of treatment and receipt of surgery. Survival analyses, using proportional subdistribution hazard models, were conducted to examine the impact of neighborhood characteristics on risk of death due to lung cancer with adjustment for individual-level variables. Neighborhood exposures of interest were census tract level black and Hispanic segregation combined with economic deprivation.

RESULTS

White patients who lived in low black segregation/high deprivation areas had 15 % lower odds of receiving surgery (95 % CI: 0.76-0.93). However, the likelihood of receiving surgery for black patients who lived in high black segregation/low deprivation and high black segregation/high deprivation was lower than for black patients who lived in low black segregation/low deprivation neighborhoods (level 3 AOR = 0.56 [0.38-0.85]; level 4 AOR = 0.69 [0.54-0.88]). Living in suburban and rural areas increased the risk of lung cancer death for white patients by 14 % (95 % CI: 1.05-1.24) and 26 % (95 % CI: 1.08-1.46), respectively. Living in rural areas increased the risk of death for black patients by 54 % r (SHR = 1.54 [1.19-2.0]). Black patients who live in high Hispanic segregation/high deprivation had 36 % increased risk of death compared to black patients who lived in low Hispanic segregation/low deprivation areas.

CONCLUSION

This study suggests that when investigating cancer disparities, merely adjusting for race/ethnicity does not provide sufficient explanation to understand survival and treatment variations. Lung cancer outcomes are impacted by neighborhood environments that are formed based on the distribution of race, ethnicity and class.

Psychosocial Stress, Glucocorticoid Signaling, and Prostate Cancer Health Disparities in African American Men

Recent advances in our understanding of racial disparities in prostate cancer (PCa) incidence and mortality that disproportionately affect African American (AA) men have provided important insights into the psychosocial, socioeconomic, environmental, and molecular contributors. There is, however, limited mechanistic knowledge of how the interplay between these determinants influences prostate tumor aggressiveness in AA men and other men of African ancestry. Growing evidence indicates that chronic psychosocial stress in AA populations leads to sustained glucocorticoid signaling through the glucocorticoid receptor (GR), with negative physiological and pathological consequences. Compelling evidence indicates that treatment of castration-resistant prostate cancer (CRPC) with anti-androgen therapy activates GR signaling. This enhanced GR signaling bypasses androgen receptor (AR) signaling and transcriptionally activates both AR-target genes and GR-target genes, resulting in increased prostate tumor resistance to anti-androgen therapy, chemotherapy, and radiotherapy. Given its enhanced signaling in AA men, GR-together with specific genetic drivers-may promote CRPC progression and exacerbate tumor aggressiveness in this population, potentially contributing to PCa mortality disparities. Ongoing and future CRPC clinical trials that combine standard of care therapies with GR modulators should assess racial differences in therapy response and clinical outcomes in order to improve PCa health disparities that continue to exist for AA men.

Experiences of Racial and Ethnic Discrimination Are Associated with Food Insecurity and Poor Health

This study examines the associations of mothers’ experiences of discrimination (EODs) with household food insecurity (HFI), physical health, and depressive symptoms, while taking into account the influence of mothers’ Adverse Childhood Experiences (ACEs) and public assistance participation. Mothers (N = 1372) of young children under age 4 who self-identified as Latinx, Non-Latinx Black/African American and Non-Latinx white answered questions for a cross-sectional survey in an emergency room in a large children’s hospital in Philadelphia between 2016 and 2018. Logistic regression was used to model associations of EODs in specific settings with HFI, depressive symptoms, and physical health. Compared to those without EODs, mothers with EODs from police/courts and in workplaces had higher odds of HFI, AOR =2.04 (95% CI: 1.44–2.89) and AOR = 1.57 (95% CI: 1.18–2.11), respectively. Among Latinx mothers, EODs in school were associated with nearly 60% higher odds of HFI and nearly 80% higher odds of depressive symptoms. Latinx and Black mothers with EODs in workplaces had higher odds of HFI (AOR = 1.76, 95% CI: 1.21–2.56 and AOR = 1.46, 95% CI: 1.05–2.36, respectively), compared to mothers without EODs. Discrimination is associated with HFI, depressive symptoms, and poor health. Public health interventions intended to improve food security and health may be only partially effective without simultaneously addressing racism and discrimination.

Discrimination in the United States: Experiences of Latinos

Objective

To examine experiences of racial/ethnic discrimination among Latinos in the United States, which broadly contribute to their poor health outcomes.

Data Source and Study Design

Data come from a nationally representative, probability‐based telephone survey including 803 Latinos and a comparison group of 902 non‐Hispanic white US adults, conducted January—April 2017.

Methods

We calculated the percent of Latinos reporting discrimination in several domains, including health care. We used logistic regression to compare the Latino‐white difference in odds of discrimination, and among Latinos only to examine variation by socioeconomic status and country of birth.

Principal Findings

One in five Latinos (20 percent) reported experiencing discrimination in clinical encounters, while 17 percent avoided seeking health care for themselves or family members due to anticipated discrimination. A notable share of Latinos also reported experiencing discrimination with employment (33 percent applying for jobs; 32 percent obtaining equal pay/promotions), housing (31 percent), and police interactions (27 percent). In adjusted models, Latinos had significantly higher odds than whites for reporting discrimination in health care visits (OR: 3.18, 95% CI: 1.61, 6.26) and across several other domains. Latinos with college degrees had significantly higher odds of reporting discrimination in multiple domains than those without college degrees, with few differences between foreign‐born and US‐born Latinos.

Conclusions

Latinos in the United States report experiencing widespread discrimination in health care and other areas of their lives, at significantly higher levels than whites. Being born in the United States and earning a college degree are not protective against discrimination, suggesting that further health and social policy efforts to eliminate discrimination are needed.

Discrimination in the United States: Experiences of black Americans

Objective

To examine experiences of racial discrimination among black adults in the United States, which broadly contribute to their poor health outcomes.

Data Source and Study Design

Data come from a nationally representative, probability‐based telephone survey including 802 non‐Hispanic black and a comparison group of 902 non‐Hispanic white US adults, conducted January–April 2017.

Methods

We calculated the percent of blacks reporting discrimination in several domains, including health care. We used logistic regression to compare the black‐white difference in odds of discrimination, and among blacks only to examine variation by socioeconomic status, gender, and neighborhood racial composition.

Principal Findings

About one‐third of blacks (32 percent) reported experiencing discrimination in clinical encounters, while 22 percent avoided seeking health care for themselves or family members due to anticipated discrimination. A majority of black adults reported experiencing discrimination in employment (57 percent in obtaining equal pay/promotions; 56 percent in applying for jobs), police interactions (60 percent reported being stopped/unfairly treated by police), and hearing microaggressions (52 percent) and racial slurs (51 percent). In adjusted models, blacks had significantly higher odds than whites of reporting discrimination in every domain. Among blacks, having a college degree was associated with higher odds of experiencing overall institutional discrimination.

Conclusions

The extent of reported discrimination across several areas of life suggests a broad pattern of discrimination against blacks in America, beyond isolated experiences. Black‐white disparities exist on nearly all dimensions of experiences with public and private institutions, including health care and the police. Evidence of systemic discrimination suggests a need for more active institutional interventions to address racism in policy and practice.

Discrimination in the United States: Experiences of Native Americans

Objective

To examine reported racial discrimination and harassment against Native Americans, which broadly contribute to poor health outcomes.

Data Source and Study Design

Data come from a nationally representative, probability‐based telephone survey including 342 Native American and 902 white US adults, conducted January‐April 2017.

Methods

We calculated the percent of Native Americans reporting discrimination in several domains, including health care. We used logistic regression to compare the Native American‐white difference in odds of discrimination and conducted exploratory analyses among Native Americans only to examine variation by socioeconomic and geographic/neighborhood characteristics.

Principal Findings

More than one in five Native Americans (23 percent) reported experiencing discrimination in clinical encounters, while 15 percent avoided seeking health care for themselves or family members due to anticipated discrimination. A notable share of Native Americans also reported they or family members have experienced violence (38 percent) or have been threatened or harassed (34 percent). In adjusted models, Native Americans had higher odds than whites of reporting discrimination across several domains, including health care and interactions with the police/courts. In exploratory analyses, the association between geographic/neighborhood characteristics and discrimination among Native Americans was mixed.

Conclusions

Discrimination and harassment are widely reported by Native Americans across multiple domains of their lives, regardless of geographic or neighborhood context. Native Americans report major disparities compared to whites in fair treatment by institutions, particularly with health care and police/courts. Results suggest modern forms of discrimination and harassment against Native Americans are systemic and untreated problems.

The Impact of Neighborhood Economic and Racial Inequalities on the Spatial Variation of Breast Cancer Survival in New Jersey

BACKGROUND

Mapping breast cancer survival can help cancer control programs prioritize efforts with limited resources. We used Bayesian spatial models to identify whether breast cancer survival among patients in New Jersey (NJ) varies spatially after adjusting for key individual (age, stage at diagnosis, molecular subtype, race/ethnicity, marital status, and insurance) and neighborhood measures of poverty and economic inequality [index of concentration at the extremes (ICE)].

METHODS

Survival time was calculated for all NJ women diagnosed with invasive breast cancer between 2010 and 2014 and followed to December 31, 2015 (N = 27,078). Nonlinear geoadditive Bayesian models were used to estimate spatial variation in hazard rates and identify geographic areas of higher risk of death from breast cancer.

RESULTS

Significant geographic differences in breast cancer survival were found in NJ. The geographic variation of hazard rates statewide ranged from 0.71 to 1.42 after adjustment for age and stage, and were attenuated after adjustment for additional individual-level factors (0.87-1.15) and neighborhood measures, including poverty (0.9-1.11) and ICE (0.92-1.09). Neighborhood measures were independently associated with breast cancer survival, but we detected slightly stronger associations between breast cancer survival, and the ICE compared to poverty.

CONCLUSIONS

The spatial models indicated breast cancer survival disparities are a result of combined individual-level and neighborhood socioeconomic factors. More research is needed to understand the moderating pathways in which neighborhood socioeconomic status influences breast cancer survival.

IMPACT

More effective health interventions aimed at improving breast cancer survival could be developed if geographic variation were examined more routinely in the context of neighborhood socioeconomic inequalities in addition to individual characteristics.

Racial and ethnic disparities in adverse birth outcomes: Differences by racial residential segregation

Racial and ethnic disparities in adverse birth outcomes have persistently been wide and may be explained by individual and area-level factors. Our primary objective was to determine if county-level black-white segregation modified the association between maternal race/ethnicity and adverse birth outcomes using birth records from the National Center for Health Statistics (2012). Based on maternal residence at birth, county-level black-white racial residential segregation was calculated along five dimensions of segregation: evenness, exposure, concentration, centralization, and clustering. We conducted a two-stage analysis: (1) county-specific logistic regression to determine whether maternal race and ethnicity were associated with preterm birth and term low birth weight; and (2) Bayesian meta-analyses to determine if segregation moderated these associations. We found greater black-white and Hispanic-white disparities in preterm birth in racially isolated counties (exposure) relative to non-isolated counties. We found reduced Hispanic-white disparities in term low birth weight in racially concentrated and centralized counties relative to non-segregated counties. Area-level poverty explained most of the moderating effect of segregation on disparities in adverse birth outcomes, suggesting that area-level poverty is a mediator of these associations. Segregation appears to modify racial/ethnic disparities in adverse birth outcomes. Therefore, policy interventions that reduce black-white racial isolation, or buffer the poor social and economic correlates of segregation, may help to reduce disparities in preterm birth and term low birth weight.