The legacy of structural racism: Associations between historic redlining, current mortgage lending, and health

Residential Redlining, Neighborhood Trajectory, and Equity of Breast and Colorectal Cancer Care

OBJECTIVE

To determine the influence of structural racism, vis-à-vis neighborhood socioeconomic trajectory, on colorectal and breast cancer diagnosis and treatment.

BACKGROUND

Inequities in cancer care are well-documented in the United States but less is understood about how historical policies like residential redlining and evolving neighborhood characteristics influence current gaps in care.

METHODS

This retrospective cohort study included adult patients diagnosed with colorectal or breast cancer between 2010 and 2015 in 7 Indiana cities with available historic redlining data. Current neighborhood socioeconomic status was determined by the Area Deprivation Index. Based on historic redlining maps and the current Area Deprivation Index, we created 4 "neighborhood trajectory" categories: advantage stable, advantage reduced, disadvantage stable, and disadvantage reduced. Modified Poisson regression models estimated the relative risks (RRs) of neighborhood trajectory on cancer stage at diagnosis and receipt of cancer-directed surgery (CDS).

RESULTS

A final cohort derivation identified 4862 cancer patients with colorectal or breast cancer. Compared with "advantage stable" neighborhoods, "disadvantage stable" neighborhood was associated with a late-stage diagnosis for both colorectal and breast cancer [RR = 1.30 (95% CI: 1.05-1.59); RR = 1.41 (1.09-1.83), respectively]. Black patients had a lower likelihood of receiving CDS in "disadvantage reduced" neighborhoods [RR = 0.92 (0.86-0.99)] than White patients.

CONCLUSIONS

Disadvantage stable neighborhoods were associated with late-stage diagnoses of breast and colorectal cancer. "Disadvantage reduced" (gentrified) neighborhoods were associated with racial inequity in CDS. Improved neighborhood socioeconomic conditions may improve timely diagnosis but could contribute to racial inequities in surgical treatment.

Association of Historical Housing Discrimination and Colon Cancer Treatment and Outcomes in the United States

PURPOSE

In the 1930s, the federally sponsored Home Owners' Loan Corporation (HOLC) used racial composition in its assessment of areas worthy of receiving loans. Neighborhoods with large proportions of Black residents were mapped in red (ie, redlining) and flagged as hazardous for mortgage financing. Redlining created a platform for systemic disinvestment in these neighborhoods, leading to barriers in access to resources that persist today. We investigated the association between residing in areas with different HOLC ratings and receipt of quality cancer care and outcomes among individuals diagnosed with colon cancer-a leading cause of cancer deaths amenable to early detection and treatment.

METHODS

Individuals who resided in zip code tabulation areas in 196 cities with HOLC rating and were diagnosed with colon cancer from 2007 to 2017 were identified from the National Cancer Database and assigned a HOLC grade (A, best; B, still desirable; C, definitely declining; and D, hazardous and mapped in red). Multivariable logistic regression models investigated association of area-level HOLC grade and late stage at diagnosis and receipt of guideline-concordant care. The product-limit method evaluated differences in time to adjuvant chemotherapy. Multivariable Cox proportional hazard models investigated differences in overall survival (OS).

RESULTS

There were 149,917 patients newly diagnosed with colon cancer with a median age of 68 years. Compared with people living in HOLC A areas, people living in HOLC D areas were more likely to be diagnosed with late-stage disease (adjusted odds ratio, 1.06 [95% CI, 1.00 to 1.12]). In addition, people living in HOLC B, C, and D areas had 8%, 16%, and 24% higher odds of not receiving guideline-concordant care, including lower receipt of surgery, evaluation of ≥12 lymph nodes, and chemotherapy. People residing in HOLC B, C, or D areas also experienced delays in initiation of adjuvant chemotherapy after surgery. People residing in HOLC C (adjusted hazard ratio [aHR], 1.09 [95% CI, 1.05 to 1.13]) and D (aHR, 1.13 [95% CI, 1.09 to 1.18]) areas had worse OS, including 13% and 20% excess risk of death for individuals diagnosed with early- and 6% and 8% for late-stage disease for HOLC C and D, respectively.

CONCLUSION

Historical housing discrimination is associated with worse contemporary access to colon cancer care and outcomes.

Historical Redlining and Present-Day Nonsuicide Firearm Fatalities

BACKGROUND

Redlining began in the 1930s with the Home Owners' Loan Corporation (HOLC); this discriminatory practice limited mortgage availability and reinforced concentrated poverty that still exists today. It is important to understand the potential health implications of this federally sanctioned segregation.

OBJECTIVE

To examine the relationship between historical redlining policies and present-day nonsuicide firearm fatalities.

DESIGN

Maps from the HOLC were overlaid with incidence of nonsuicide firearm fatalities from 2014 to 2022. A multilevel negative binomial regression model tested the association between modern-day firearm fatalities and HOLC historical grading (A ["best"] to D ["hazardous"]), controlling for year, HOLC area-level demographics, and state-level factors as fixed effects and a random intercept for city. Incidence rates (IRs) per 100 000 persons, incidence rate ratios (IRRs), and adjusted IRRs (aIRRs) for each HOLC grade were estimated using A-rated areas as the reference.

SETTING

202 cities with areas graded by the HOLC in the 1930s.

PARTICIPANTS

Population of the 8597 areas assessed by the HOLC.

MEASUREMENTS

Nonsuicide firearm fatalities.

RESULTS

From 2014 to 2022, a total of 41 428 nonsuicide firearm fatalities occurred in HOLC-graded areas. The firearm fatality rate increased as the HOLC grade progressed from A to D. In A-graded areas, the IR was 3.78 (95% CI, 3.52 to 4.05) per 100 000 persons per year. In B-graded areas, the IR, IRR, and aIRR relative to A areas were 7.43 (CI, 7.24 to 7.62) per 100 000 persons per year, 2.12 (CI, 1.94 to 2.32), and 1.42 (CI, 1.30 to 1.54), respectively. In C-graded areas, these values were 11.24 (CI, 11.08 to 11.40) per 100 000 persons per year, 3.78 (CI, 3.47 to 4.12), and 1.90 (CI, 1.75 to 2.07), respectively. In D-graded areas, these values were 16.26 (CI, 16.01 to 16.52) per 100 000 persons per year, 5.51 (CI, 5.05 to 6.02), and 2.07 (CI, 1.90 to 2.25), respectively.

LIMITATION

The Gun Violence Archive relies on media coverage and police reports.

CONCLUSION

Discriminatory redlining policies from 80 years ago are associated with nonsuicide firearm fatalities today.

PRIMARY FUNDING SOURCE

Fred Lovejoy Housestaff Research and Education Fund.

Historical Redlining and Heart Failure Outcomes Following Hospitalization in the Southeastern United States

BACKGROUND

Historical redlining, a discriminatory lending practice, is an understudied component of the patient risk environment following hospital discharge. We investigated associations between redlining, patient race, and outcomes following heart failure hospitalization.

METHODS AND RESULTS

We followed a hospital-based cohort of Black and White patients using electronic medical records for acute heart failure hospitalizations between 2010 and 2018 (n=6800). Patient residential census tracts were geocoded according to the 1930s Home Owners' Loan Corporation map grades (A/B: best/still desirable, C: declining, D: redlined). We used Poisson regression to analyze associations between Home Owners' Loan Corporation grade and 30-day outcomes (readmissions, mortality, and their composite). One-third of patients resided in historically redlined tracts (n=2034). In race-stratified analyses, there was a positive association between historically declining neighborhoods and composite readmissions and mortality for Black patients (risk ratio [RR], 1.24 [95% CI, 1.003-1.54]) and an inverse association between redlined neighborhoods and 30-day readmissions among White patients (RR, 0.58 [95% CI, 0.39-0.86]). Examining racial disparities across Home Owners' Loan Corporation grades, Black patients had higher 30-day readmissions (RR, 1.86 [95% CI, 1.31-2.65]) and composite readmissions and mortality (RR, 1.32 [95% CI, 1.04-1.65]) only in historically redlined neighborhoods.

CONCLUSIONS

Historical redlining had potentially mixed impacts on outcomes by race, such that residing in less desirable neighborhoods was associated with an elevated risk of an adverse outcome following heart failure hospitalization in Black patients and a reduced risk in White patients. Moreover, racial disparities in patient outcomes were present only in historically redlined neighborhoods. Additional research is needed to explore observed heterogeneity in outcomes.

Height and Weight Measurement and Communication With Families in Head Start: Developing a Toolkit and Establishing Best Practices

Background: Head start (HS) programs are required to collect children's height and weight data. Programs also communicate these results to families. However, no standardized protocol exists to guide measurements or communicate results. The purpose of this article was to describe the development of a measurement toolkit and best practices for communication. Methods: HS programs contributed to the development and pilot testing of a toolkit for HS staff to guide child measurement. We used a three-phase iterative approach and qualitative methods to develop and test the toolkit, which included a video and handout. In addition, we convened an advisory group to draft best practices for communication. Results: HS program staff appreciated the toolkit materials for their simplicity and content. The advisory group highlighted the importance of weight stigma and the need to be cautious in the way that information is communicated to families. The group underscored the role of emphasizing health behavior change, instead of focusing solely on BMI. Best practices were organized into (1) Policies and procedures for communicating screening results, (2) training for HS program staff to improve communication related to screening and health behaviors, and (3) other best practices to promote health behaviors and coordinate data systems. Conclusions: Our toolkit can improve anthropometric measurements of HS to ensure that potential surveillance data are accurate. Advisory group best practices highlight opportunities for HS to develop and implement policies, procedures, and trainings across the country to improve communication with HS families. Future research should test the implementation of these best practices within HS.

Evaluating Methods for Mapping Historical Redlining to Census Tracts for Health Equity Research

Neighborhood characteristics including housing status can profoundly influence health. Recently, increasing attention has been paid to present-day impacts of "redlining," or historic area classifications that indicated less desirable (redlined) areas subject to decreased investment. Scholarship of redlining and health is emerging; limited guidance exists regarding optimal approaches to measuring historic redlining in studies of present-day health outcomes. We evaluated how different redlining approaches (map alignment methods) influence associations between redlining and health outcomes. We first identified 11 existing redlining map alignment methods and their 37 logical extensions, then merged these 48 map alignment methods with census tract life expectancy data to construct 9696 linear models of each method and life expectancy for all 202 redlined cities. We evaluated each model's statistical significance and R2 values and compared changes between historical and contemporary geographies and populations using Root Mean Squared Error (RMSE). RMSE peaked with a normal distribution at 0.175, indicating persistent difference between historical and contemporary geographies and populations. Continuous methods with low thresholds provided higher neighborhood coverage. Weighting methods had more significant associations, while high threshold methods had higher R2 values. In light of these findings, we recommend continuous methods that consider contemporary population distributions and mapping overlap for studies of redlining and health. We developed an R application {holcmapr} to enable map alignment method comparison and easier method selection.

Association of Major Adverse Financial Events and Later-Stage Cancer Diagnosis in the United States

PURPOSE

This study assessed the prevalence of specific major adverse financial events (AFEs)-bankruptcies, liens, and evictions-before a cancer diagnosis and their association with later-stage cancer at diagnosis.

METHODS

Patients age 20-69 years diagnosed with cancer during 2014-2015 were identified from the Seattle, Louisiana, and Georgia SEER population-based cancer registries. Registry data were linked with LexisNexis consumer data to identify patients with a history of court-documented AFEs before cancer diagnosis. The association of AFEs and later-stage cancer diagnoses (stages III/IV) was assessed using separate sex-specific multivariable logistic regression.

RESULTS

Among 101,649 patients with cancer linked to LexisNexis data, 36,791 (36.2%) had a major AFE reported before diagnosis. The mean and median timing of the AFE closest to diagnosis were 93 and 77 months, respectively. AFEs were most common among non-Hispanic Black, unmarried, and low-income patients. Individuals with previous AFEs were more likely to be diagnosed with later-stage cancer than individuals with no AFE (males-odds ratio [OR], 1.09 [95% CI, 1.03 to 1.14]; P < .001; females-OR, 1.18 [95% CI, 1.13 to 1.24]; P < .0001) after adjusting for age, race, marital status, income, registry, and cancer type. Associations between AFEs prediagnosis and later-stage disease did not vary by AFE timing.

CONCLUSION

One third of newly diagnosed patients with cancer had a major AFE before their diagnosis. Patients with AFEs were more likely to have later-stage diagnosis, even accounting for traditional measures of socioeconomic status that influence the stage at diagnosis. The prevalence of prediagnosis AFEs underscores financial vulnerability of patients with cancer before their diagnosis, before any subsequent financial burden associated with cancer treatment.

A multisystem model for understanding stress and adaptation in ethnically and racially diverse youth

Contemporary biological and contextually based theoretical frameworks have conceptualized how stress exposure may influence adaptation in youth. However, nearly all of this scholarship neglects the role of specific contextual features and/or biological processes that are involved in ethnic-racial minority youth's responses and adaptation to sociocultural stressors. Drawing on the theoretical principles of the developmental psychopathology framework and contemporary models of stress and adaptation, this article proposes a new multisystem model that explains how multiple levels and systems within and outside of individual youth influence their sociocultural adaptation. We provide empirical evidence to support components of this multisystem model. We propose that research based on our new theoretical framework will capture the sociocultural experiences of ethnic-racial minority youth by centering processes that are relevant to their lived experiences, coping, and adjustment. In doing so, this model will inform psychosocial interventions focused on promoting healthy adaptation among ethnic and racial diverse youth. Finally, we offer recommendations to guide future research on stress and adaptation among ethnic and racial diverse youth, in particular, and developmental psychopathology more broadly.

From neighborhood to household: connections between neighborhood vacant and abandoned property and family violence

Rates of family violence, including intimate partner violence (IPV) and child maltreatment, remain high in the U.S. and contribute to substantial health and economic costs. How neighborhood environment may influence family violence remains poorly understood. We examine the association between neighborhood vacant and abandoned properties and family violence, and the role collective efficacy may play in that relationship. Data were used from a longitudinal cohort of 218 maternal-child dyads in a southern U.S. city known for elevated rates of violence. Women were matched on their propensity score, for living in a neighborhood with elevated vacant and cited properties. Analyses accounting for clustering in neighborhood and matched groups were conducted to examine the association between neighborhood vacant and abandoned property and family violence, and the potential mediating relationship of collective efficacy. The likelihood of experiencing child maltreatment at 12-months of age was more than twice as high for children living in neighborhoods with a high vacant and cited property rates compared to women living in neighborhoods with fewer vacant and cited properties (OR=2.11, 95% CI=1.03, 4.31). Women living in neighborhoods characterized by high levels of vacant and cited properties were also more than twice as likely to report IPV (OR=2.52, 95% CI=1.21, 5.25). Associations remained mostly stable after controlling for key covariates. Collective efficacy did not act as a mediator in the relationship between vacant and cited properties and family violence. Reducing neighborhood vacant and cited properties may be an important target for interventions focused on reducing family violence.

State variation in neighborhood COVID-19 burden across the United States

BACKGROUND

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 infection burden has been distributed across neighborhoods, a key determinant of both risk and resilience. Without more spatially resolute data, efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities will remain difficult to quantify and intervene on.

METHODS

We leveraged spatially-referenced data from 21 states collated through the COVID Neighborhood Project to examine the distribution of COVID-19 cases across neighborhoods and states in the U.S. We also linked the COVID-19 case data with data on the neighborhood social environment from the National Neighborhood Data Archive. We then estimated correlations between neighborhood COVID-19 burden and features of the neighborhood social environment.

RESULTS

We find that the distribution of COVID-19 at the neighborhood-level varies within and between states. The median case count per neighborhood (coefficient of variation (CV)) in Wisconsin is 3078.52 (0.17) per 10,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (CV) is 810.98 (0.84) per 10,000 population. We also find that correlations between features of the neighborhood social environment and burden vary in magnitude and direction by state.

CONCLUSIONS

Our findings underscore the importance that local contexts may play when addressing the long-term social and economic fallout communities will face from COVID-19.

Rural-urban differences in health care unaffordability

PURPOSE

To compare health care unaffordability in rural versus urban contexts while also examining the impact of sociodemographic/socioeconomic variables on this relationship.

METHODS

We examined survey responses from the 2019-2021 National Health Interview Survey (n = 90,761). We conducted chi-squared tests comparing urban and rural subsamples and multivariable logistic regression analyses examining the associations between rurality and 3 measures of health care unaffordability while also including interactions between rurality and individual characteristics of respondents.

FINDINGS

In bivariate analyses, compared to their urban counterparts, rural residents were more likely to report problems paying medical bills (15.0% vs 11.5%, P <.001) and being unable to pay medical bills (9.3% vs 7.1%, P < .001). In fully adjusted multivariable regression analyses, rural residents were significantly less likely than their urban counterparts to report being worried about paying medical bills (AOR: .915, CI: .871-.961, P < .001). We found significant interactions between rural residency and insurance type, age, income to poverty ratio, and race/ethnicity for the outcome of problems paying medical bills; and significant interactions between rural residency and income to poverty ratio and race and ethnicity for the outcome of being unable to pay medical bills.

CONCLUSION

Rural residents report higher rates of 2 measures of health care unaffordability as compared to their urban counterparts. In multivariable logistic models, rural residency is not associated with higher rates of health care unaffordability; however, significant interactions exist between rural residency and individual variables demonstrating the heterogenous experiences of health care unaffordability based on these intersectional identities.

Historic redlining and health outcomes: A systematic review

OBJECTIVE

The purpose of this systematic review was to synthesize the existing literature on the associations between historic redlining and modern-day health outcomes across the lifespan.

METHOD

This review searched PubMed and CINAHL for peer-reviewed, data-based articles examining the relationship between historic redlining and any health outcome. Articles were appraised using the JBI critical appraisal checklist. The results were synthesized using a narrative summary approach.

RESULTS

Thirty-six articles were included and focused on various health outcomes, including cardiovascular outcomes, breast cancer incidence and mortality, firearm injury or death, birth-related outcomes, and asthma outcomes. Most of the included articles (n = 31; 86%) found significant associations between historic redlining and adverse health outcomes such as increased cardiovascular disease, higher rates of preterm births, increased cancer incidence, reduced survival time after breast cancer diagnosis, and increased firearm injury incidence.

DISCUSSION

This review demonstrates the persistent effect of historic redlining on individuals' health. Public health nurses should recognize redlining as a form of structural racism when caring for affected communities and should advocate for policies and programs that advance health equity. Nurse researchers should develop and test multilevel interventions to address systemic racism and improve health outcomes in communities affected by redlining.

Association of area-level mortgage denial and guideline-concordant non-small-cell lung cancer care and outcomes in the United States

BACKGROUND

Racial and socioeconomic disparities in receipt of care for non-small-cell lung cancer (NSCLC) are well described. However, no previous studies have evaluated the association between mortgage denial rates and receipt of timely and guideline-concordant care for NSCLC and patient outcomes.

METHODS

We identified individuals ≥18 years diagnosed with NSCLC between 2014 and 2019 from the National Cancer Database. Using the Home Mortgage Disclosure Act database, we calculated the proportion of denied home loans to total loans at the zip-code level and categorized them into quintiles. Our outcomes included receipt of guideline-concordant care based on clinical and pathologic stage at diagnosis and the National Comprehensive Cancer Network guidelines, time from surgery to chemotherapy initiation, and overall survival.

RESULTS

Of the 629,288 individuals diagnosed with NSCLC (median age 69; IQR 61-76 years, 49.1% female), 47.8% did not receive guideline-concordant care. Residing in areas with higher mortgage denial rates and lower income was associated with worse guideline-concordant care overall (aRR = 1.28; 95% CI = 1.25-1.32) and for each cancer treatment modality, worse receipt of timely chemotherapy (aHR = 1.14; 95% CI = 1.11-1.17) and worse overall survival (aHR = 1.21; 95% CI = 1.19-1.22), compared with residing in areas with the lowest mortgage denial rate and highest income.

CONCLUSIONS

Area-level mortgage denial rate was associated with worse receipt of timely and guideline-concordant NSCLC care and survival. This highlights the critical need to understand and address systemic practices, such as mortgage denial, that limit access to resources and are associated with worse access to quality cancer care and outcomes.

Climate change and cancer: the Environmental Justice perspective

Despite advances in cancer control-prevention, screening, diagnosis, treatment, and survivorship-racial disparities in cancer incidence and survival persist and, in some cases, are widening in the United States. Since 2020, there's been growing recognition of the role of structural racism, including structurally racist policies and practices, as the main factor contributing to historical and contemporary disparities. Structurally racist policies and practices have been present since the genesis of the United States and are also at the root of environmental injustices, which result in disproportionately high exposure to environmental hazards among communities targeted for marginalization, increased cancer risk, disruptions in access to care, and worsening health outcomes. In addition to widening cancer disparities, environmental injustices enable the development of polluting infrastructure, which contribute to detrimental health outcomes in the entire population, and to climate change, the most pressing public health challenge of our time. In this commentary, we describe the connections between climate change and cancer through an Environmental Justice perspective (defined as the fair treatment and meaningful involvement of people of all racialized groups, nationalities, or income, in all aspects, including development, implementation, and enforcement, of policies and practices that affect the environment and public health), highlighting how the expertise developed in communities targeted for marginalization is crucial for addressing health disparities, tackling climate change, and advancing cancer control efforts for the entire population.

Cancer statistics, 2024

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2020) and mortality data collected by the National Center for Health Statistics (through 2021). In 2024, 2,001,140 new cancer cases and 611,720 cancer deaths are projected to occur in the United States. Cancer mortality continued to decline through 2021, averting over 4 million deaths since 1991 because of reductions in smoking, earlier detection for some cancers, and improved treatment options in both the adjuvant and metastatic settings. However, these gains are threatened by increasing incidence for 6 of the top 10 cancers. Incidence rates increased during 2015-2019 by 0.6%-1% annually for breast, pancreas, and uterine corpus cancers and by 2%-3% annually for prostate, liver (female), kidney, and human papillomavirus-associated oral cancers and for melanoma. Incidence rates also increased by 1%-2% annually for cervical (ages 30-44 years) and colorectal cancers (ages <55 years) in young adults. Colorectal cancer was the fourth-leading cause of cancer death in both men and women younger than 50 years in the late-1990s but is now first in men and second in women. Progress is also hampered by wide persistent cancer disparities; compared to White people, mortality rates are two-fold higher for prostate, stomach and uterine corpus cancers in Black people and for liver, stomach, and kidney cancers in Native American people. Continued national progress will require increased investment in cancer prevention and access to equitable treatment, especially among American Indian and Alaska Native and Black individuals.

Improving health equity through health care systems research

OBJECTIVE

To describe health equity research priorities for health care delivery systems and delineate a research and action agenda that generates evidence-based solutions to persistent racial and ethnic inequities in health outcomes.

DATA SOURCES AND STUDY SETTING

This project was conducted as a component of the Agency for Healthcare Research and Quality's (AHRQ) stakeholder engaged process to develop an Equity Agenda and Action Plan to guide priority setting to advance health equity. Recommendations were developed and refined based on expert input, evidence review, and stakeholder engagement. Participating stakeholders included experts from academia, health care organizations, industry, and government.

STUDY DESIGN

Expert group consensus, informed by stakeholder engagement and targeted evidence review.

DATA COLLECTION/EXTRACTION METHODS

Priority themes were derived iteratively through (1) brainstorming and idea reduction, (2) targeted evidence review of candidate themes, (3) determination of preliminary themes; (4) input on preliminary themes from stakeholders attending AHRQ's 2022 Health Equity Summit; and (5) and refinement of themes based on that input. The final set of research and action recommendations was determined by authors' consensus.

PRINCIPAL FINDINGS

Health care delivery systems have contributed to racial and ethnic disparities in health care. High quality research is needed to inform health care delivery systems approaches to undo systemic barriers and inequities. We identified six priority themes for research; (1) institutional leadership, culture, and workforce; (2) data-driven, culturally tailored care; (3) health equity targeted performance incentives; (4) health equity-informed approaches to health system consolidation and access; (5) whole person care; (6) and whole community investment. We also suggest cross-cutting themes regarding research workforce and research timelines.

CONCLUSIONS

As the nation's primary health services research agency, AHRQ can advance equitable delivery of health care by funding research and disseminating evidence to help transform the organization and delivery of health care.

Neighborhood Factors Associated with COVID-19 Cases in California

BACKGROUND

There is a need to assess neighborhood-level factors driving COVID-19 disparities across racial and ethnic groups.

OBJECTIVE

To use census tract-level data to investigate neighborhood-level factors contributing to racial and ethnic group-specific COVID-19 case rates in California.

DESIGN

Quasi-Poisson generalized linear models were used to identify neighborhood-level factors associated with COVID-19 cases. In separate sequential models for Hispanic, Black, and Asian, we characterized the associations between neighborhood factors on neighborhood COVID-19 cases. Subanalyses were conducted on neighborhoods with majority Hispanic, Black, and Asian residents to identify factors that might be unique to these neighborhoods. Geographically weighted regression using a quasi-Poisson model was conducted to identify regional differences.

MAIN MEASURES

All COVID-19 cases and tests reported through January 31, 2021, to the California Department of Public Health. Neighborhood-level data from census tracts were obtained from American Community Survey 5-year estimates (2015-2019), United States Census (2010), and United States Department of Housing and Urban Development.

KEY RESULTS

The neighborhood factors associated with COVID-19 case rate were racial and ethnic composition, age, limited English proficiency (LEP), income, household size, and population density. LEP had the largest influence on the positive association between proportion of Hispanic residents and COVID-19 cases (- 2.1% change). This was also true for proportion of Asian residents (- 1.8% change), but not for the proportion of Black residents (- 0.1% change). The influence of LEP was strongest in areas of the Bay Area, Los Angeles, and San Diego.

CONCLUSION

Neighborhood-level contextual drivers of COVID-19 burden differ across racial and ethnic groups.

Neighborhood Poverty Prospectively Predicts PTSD Symptoms Six-Months Following Trauma Exposure

Introduction

Individuals living in areas with high rates of poverty are disproportionately affected by posttraumatic stress disorder (PTSD). Despite this association, little is known about how neighborhood poverty rates impact risk for PTSD development. In the current prospective study, we determined the relationship between neighborhood poverty rate and PTSD symptoms six-months after experiencing a traumatic event in a sample of varied race, gender, and socioeconomic status.

Methods

Participants (N=252) were enrolled in a hospital emergency department after experiencing a traumatic event. Demographic information (including zip code of residence), baseline PTSD symptoms, and baseline trauma history was assessed in the emergency department. PTSD symptoms were again assessed six-months post-trauma. Neighborhood poverty rate was determined using the American Community Survey.

Results

Correlation analyses revealed that neighborhood poverty was significantly associated with baseline PTSD symptoms (r=.181, p=.004) and PTSD symptoms six-months post-trauma (r=.163, p=.009). A regression analysis controlling for baseline trauma exposure, clinician-rated trauma severity, and individual socioeconomic status demonstrated that neighborhood poverty predicted PTSD symptoms six-months post-trauma (R2= 0.099, B= 0.15, p=0.04), but this relationship was no longer significant when baseline PTSD symptoms was added as an additional covariate (R2=.304, B= 0.07, p>0.05).

Conclusion

Overall, results suggest that neighborhood poverty generally increases PTSD symptom severity, and the context in which an individual lives should be considered when conceptualizing risk for PTSD.

Residential Structural Racism and Prevalence of Chronic Health Conditions

Importance

Studies elucidating determinants of residential neighborhood-level health inequities are needed.

Objective

To quantify associations of structural racism indicators with neighborhood prevalence of chronic kidney disease (CKD), diabetes, and hypertension.

Design, Setting, and Participants

This cross-sectional study used public data (2012-2018) and deidentified electronic health records (2017-2018) to describe the burden of structural racism and the prevalence of CKD, diabetes, and hypertension in 150 residential neighborhoods in Durham County, North Carolina, from US census block groups and quantified their associations using bayesian models accounting for spatial correlations and residents' age. Data were analyzed from January 2021 to May 2023.

Exposures

Global (neighborhood percentage of White residents, economic-racial segregation, and area deprivation) and discrete (neighborhood child care centers, bus stops, tree cover, reported violent crime, impervious areas, evictions, election participation, income, poverty, education, unemployment, health insurance coverage, and police shootings) indicators of structural racism.

Main Outcomes and Measures

Outcomes of interest were neighborhood prevalence of CKD, diabetes, and hypertension.

Results

A total of 150 neighborhoods with a median (IQR) of 1708 (1109-2489) residents; median (IQR) of 2% (0%-6%) Asian residents, 30% (16%-56%) Black residents, 10% (4%-20%) Hispanic or Latino residents, 0% (0%-1%) Indigenous residents, and 44% (18%-70%) White residents; and median (IQR) residential income of $54 531 ($37 729.25-$78 895.25) were included in analyses. In models evaluating global indicators, greater burden of structural racism was associated with greater prevalence of CKD, diabetes, and hypertension (eg, per 1-SD decrease in neighborhood White population percentage: CKD prevalence ratio [PR], 1.27; 95% highest density interval [HDI], 1.18-1.35; diabetes PR, 1.43; 95% HDI, 1.37-1.52; hypertension PR, 1.19; 95% HDI, 1.14-1.25). Similarly in models evaluating discrete indicators, greater burden of structural racism was associated with greater neighborhood prevalence of CKD, diabetes, and hypertension (eg, per 1-SD increase in reported violent crime: CKD PR, 1.15; 95% HDI, 1.07-1.23; diabetes PR, 1.20; 95% HDI, 1.13-1.28; hypertension PR, 1.08; 95% HDI, 1.02-1.14).

Conclusions and Relevance

This cross-sectional study found several global and discrete structural racism indicators associated with increased prevalence of health conditions in residential neighborhoods. Although inferences from this cross-sectional and ecological study warrant caution, they may help guide the development of future community health interventions.

Understanding Barriers and Strategies to Accessing Healthy Food in Urban Agriculture for Community Residents in Predominantly Black Communities

BACKGROUND

Some residents in predominantly Black communities face significant challenges in accessing healthy food. However, urban agriculture is a growing sector that aims to increase overall food production, access to affordable and nutritious produce, and potentially improve community food security.

PURPOSE

This study aimed to provide insight into barriers and strategies that urban agriculture growers and advocates identified for accessing urban agriculture markets in their communities.

RESEARCH DESIGN AND STUDY SAMPLE

We interviewed and conducted focus groups with 17 urban growers and local food advocates that work in predominantly Black communities in Chicago.

DATA COLLECTION AND/OR ANALYSIS

Understanding the complexities of access to healthy food can be challenging; therefore, we used the concept of access - accessibility, availability, affordability, accommodation, and acceptability - to better understand these barriers.

RESULTS

Key barriers were the lack of accessibility to traditional food retailers, high availability of processed foods, and cultural acceptability of urban-produced foods.

CONCLUSION

Building urban agriculture networks to support growers, connect with consumers, and emphasize political engagement can help to diversify and grow urban agriculture.

Census Tracts Are Not Neighborhoods: Addressing Spatial Misalignment in Studies Examining the Impact of Historical Redlining on Present-day Health Outcomes

BACKGROUND

Research examining the effects of historical redlining on present-day health outcomes is often complicated by the misalignment of contemporary census boundaries with the neighborhood boundaries drawn by the US Home Owners' Loan Corporation (HOLC) in the 1930s. Previous studies have used different approaches to assign historical HOLC grades to contemporary geographies, but how well they capture redlining exposure is unknown.

METHODS

Our analysis included 7711 residences identified in the Multiple Listing Service database in Atlanta, Georgia (2017-2022). We evaluated the classification of HOLC grade assignment (A, B, C, D, or ungraded) when assigning exposure under four area-level approaches (centroid, majority land area, weighted score, and highest HOLC) compared with using complete address data (gold standard). We additionally compared approaches across three 2020 census geographies (tract, block group, and block).

RESULTS

When comparing the use of census tracts to complete address data, sensitivity was highest for the weighted score approach, which correctly identified 77% of residences in truly A-D graded neighborhoods as compared with the majority land area (44%), centroid (54%), and highest HOLC (59%) approaches. Regarding specificity, the majority land area approach best-classified residences in truly ungraded neighborhoods (93%) as compared with the weighted score (65%), centroid (81%), and highest HOLC (54%) approaches. Classification improved regardless of approach when using census block compared with the census tract.

CONCLUSIONS

Misclassification of historical redlining exposure is inevitable when using contemporary census geographies rather than complete address data. This study provides a framework for assessing spatial misalignment and selecting an approach for classification.

Association between racial residential segregation and walkability in 745 U.S. cities

Despite higher chronic disease prevalence, minoritized populations live in highly walkable neighborhoods in US cities more frequently than non-minoritized populations. We investigated whether city-level racial residential segregation (RRS) was associated with city-level walkability, stratified by population density, possibly explaining this counterintuitive association. RRS for Black-White and Latino-White segregation in large US cities was calculated using the Index of Dissimilarity (ID), and walkability was measured using WalkScore. Median walkability increased across increasing quartiles of population density, as expected. Higher ID was associated with higher walkability; associations varied in strength across strata of population density. RRS undergirds the observed association between walkability and minoritized populations, especially in higher population density cities.

Using nursing science to advance policy and practice in the context of social and structural determinants of health

BACKGROUND

Social and structural determinants of health play a large role in health inequities.

PURPOSE

To highlight how nursing science can be used to advance policy and practice in the context of social and structural determinants of health.

METHODS

This paper reports on the author's keynote presentation from the 2022 State of The Science Conference on Social and Structural Determinants of Health presented by the Council for the Advancement of Nursing Science. Key concepts are overviewed and defined, followed by examples of two community-engaged research projects with findings that inform practice and policy. The author concludes with individual-, social- and structural-level recommendations as a clarion call for nurses to use research to eliminate health inequities and promote justice for all.

CONCLUSION

What we know is, in part, only as good as what we do with that knowledge. When lives are at stake, gone are the days of knowing something and failing to act on that knowledge.

Heart Failure with Reduced Ejection Fraction and COVID-19, when the Sick Get Sicker: Unmasking Racial and Ethnic Inequities During a Pandemic

Minoritized racial and ethnic groups have the highest incidence, prevalence, and hospitalization rate for heart failure. Despite improvement in medical therapies and overall survival, the morbidity and mortality of these groups remain elevated. The reasons for this disparity are multifactorial, including social determinant of health (SDOH) such as access to care, bias, and structural racism. These same factors contributed to higher rates of COVID-19 infection among minoritized racial and ethnic groups. In this review, we aim to explore the lessons learned from the COVID-19 pandemic and its interconnection between heart failure and SDOH. The pandemic presents a window of opportunity for achieving greater equity in the health care of all vulnerable populations.

Artificial neural network approaches to identify maternal and infant risk and asset factors using Peridata.Net: a WI-MIOS study

Objective

To analyze PeriData.Net, a clinical registry with linked maternal-infant hospital data of Milwaukee County residents, to demonstrate a predictive analytic approach to perinatal infant risk assessment.

Materials and Methods

Using unsupervised learning, we identified infant birth clusters with similar multivariate health indicator patterns, measured using perinatal variables from 2008 to 2019 from n = 43 969 clinical registry records in Milwaukee County, WI, followed by supervised learning risk-propagation modeling to identify key maternal factors. To understand the relationship between socioeconomic status (SES) and birth outcome cluster assignment, we recoded zip codes in Peridata.Net according to SES level.

Results

Three self-organizing map clusters describe infant birth outcome patterns that are similar in the multivariate space. Birth outcome clusters showed higher hazard birth outcome patterns in cluster 3 than clusters 1 and 2. Cluster 3 was associated with lower Apgar scores at 1 and 5 min after birth, shorter infant length, and premature birth. Prediction profiles of birth clusters indicate the most sensitivity to pregnancy weight loss and prenatal visits. Majority of infants assigned to cluster 3 were in the 2 lowest SES levels.

Discussion

Using an extensive perinatal clinical registry, we found that the strongest predictive performance, when considering cluster membership using supervised learning, was achieved by incorporating social and behavioral risk factors. There were inequalities in infant birth outcomes based on SES.

Conclusion

Identifying infant risk hazard profiles can contribute to knowledge discovery and guide future research directions. Additionally, presenting the results to community members can build consensus for community-identified health and risk indicator prioritization for intervention development.

Medicaid Expansion Lowered Uninsurance Rates Among Nonelderly Adults In The Most Heavily Redlined Areas

Medicaid expansion narrowed racial and ethnic disparities in health coverage, but few studies have explored differential impact by exposure to structural racism. We analyzed data on historical residential redlining in US metropolitan areas from the Mapping Inequality project, along with data on uninsurance from the American Community Survey, to test whether Medicaid expansion differentially reduced uninsurance rates among nonelderly adults exposed to historical redlining. Our difference-in-differences analysis compared uninsurance rates in Medicaid expansion and nonexpansion states both before (2009-13) and after (2015-19) the state option to expand Medicaid pursuant to the Affordable Care Act took effect in 2014. We found that Medicaid expansion had the greatest impact on lowering uninsurance rates in census tracts with the highest level of redlining. Within each redline category, there were no significant differences by race and ethnicity. Our results highlight the importance of considering contextual factors, such as structural racism, when evaluating health policies. States that opt not to expand Medicaid delay progress toward health equity in historically redlined communities.

Race, ethnicity, and experienced racism are associated with adverse physical and mental health outcomes among cancer survivors

INTRODUCTION

Survivors of cancer are at risk for adverse mental and physical health outcomes. It is not well understood, however, how these outcomes are differentially experienced according to an individual's exposure to racism. This study sought to evaluate associations of race/ethnicity, and experiences of racism, with adverse health outcomes in survivors of cancer.

METHODS

Using the Behavioral Risk Factor Surveillance System database, data from 48,200 survivors between 2014 and 2020 were evaluated. Survey items included negative physical and emotional symptoms as a result of race-based treatment. Outcomes of interest included days of poor mental and physical health, activity limitations, depression, and inadequate sleep. Associations using prevalence ratios were evaluated.

RESULTS

All historically marginalized racial/ethnic groups were more likely to experience at least one adverse health outcome compared with non-Hispanic White survivors. Those who physically experienced racism were 2.1 (95% CI, 1.64-2.69) times as likely to report poor physical health, 3.51 (95% CI, 2.61-4.71) times as likely to report poor mental health, 2.14 (95% CI, 1.77-2.58) times as likely to report inadequate sleep, 2.33 (95% CI: 1.91-2.83) times as likely to report depression, and 1.42 (95% CI, 1.04-1.93) times as likely to report activity limitations compared with those who have not experienced racism. Similar associations were observed for emotionally experienced racism.

DISCUSSION

Racial inequities in health outcomes for survivors of cancer from marginalized racial/ethnic groups are well-established. Experienced racism contributes to adverse health outcomes and widens these disparities. Improving outcomes for survivors of cancer may require screening for experienced racism.

PLAIN LANGUAGE SUMMARY

Survivors of cancer from marginalized racial/ethnic populations are more likely to have poor mental and physical health than their non-Hispanic White counterparts. Whether survivors from certain racial/ethnic populations of smaller size also have poorer health is less well understood. Generally, individuals who report experienced racism also report poor health, this association has not been studied in survivors of cancer. This study, from a national survey of survivors of cancer, describes disparities in health outcomes experienced by a variety of racial and ethnic populations. Our findings suggest racism is associated with poor mental and physical health in survivors of cancer.

Association of Redlining and Natural Environment with Depressive Symptoms in Women in the Sister Study

BACKGROUND

Improving mental health is recognized as an important factor for achieving global development goals. Despite strong evidence that neighborhood greenery promotes better mental health, there are environmental justice concerns over the distribution of neighborhood greenery. Underlying these concerns are present-day consequences of historical discriminatory financial investment practices, such as redlining which was established by the U.S. Federal Home Owners' Loan Corporation (HOLC) in the 1930s. The impacts of redlining on environmental and health disparities have been researched extensively. However, the influences of redlining on the associations between neighborhood environment and health outcomes have not been fully assessed.

OBJECTIVES

The aim of this study was to examine whether associations between residential tree cover and depressive symptoms vary across areas subject to HOLC practices.

METHODS

Depressive symptoms were defined by the 10-item Center for Epidemiologic Studies Depression Scale collected during the period 2008-2012 for 3,555 women in the Sister Study cohort residing in cities subject to HOLC practices across the United States. HOLC rating maps were obtained from the Mapping Inequality Project, University of Richmond, with neighborhoods graded as A (best for financial investment, green), B (still desirable, blue), C (declining, yellow), and D (hazardous, red-known as redlined). Tree cover within 500 m and 2,000 m from residences was estimated using 2011 U.S. Forest Service Percent Tree Canopy Cover. Mixed model using climate zone as the random effect was applied to evaluate the associations with adjustments for potential covariates. Analyses were stratified by HOLC grade.

RESULTS

Tree cover was significantly higher in neighborhoods with better HOLC grades. A 10% increase in tree cover was associated with reduced odds of depressive symptoms for the full study population, with adjusted odds ratios (AORs) of 0.93 [95% confidence interval (CI): 0.88, 0.99], and 0.91 (0.85, 0.97) for 500 -m and 2,000 -m buffer, respectively. Across HOLC grades, the strongest associations were observed in redlined neighborhoods, with respective AORs of 0.72 (95% CI: 0.52, 0.99) and 0.63 (95% CI: 0.45, 0.90) for 500 -m and 2,000 -m buffer.

DISCUSSION

Findings support a remediation strategy focused on neighborhood greenery that would address multiple public health priorities, including mental health and environmental justice. https://doi.org/10.1289/EHP12212.

The effects of contemporary redlining on the mental health of Black residents

Understanding how structural racism, including institutionalized practices such as redlining, influence persistent inequities in health and neighborhood conditions is still emerging in urban health research. Such research often focuses on historical practices, giving the impression that such practices are a thing of the past. However, mortgage lending bias can be readily detected in contemporary datasets and is an active form of structural racism with implications for health and wellbeing. The objective of the current study was to test for associations among multiple measures of mental health and a measure of contemporary redlining. We linked a redlining index constructed using Home Mortgage Disclosure Act data (2007-2013) to 2021 health data for Black/African American participants in the Study of Active Neighborhoods in Detroit (n = 220 with address data). We used multilevel regression models to examine the relationship between redlining and a suite of mental health outcomes (perceived stress, anxiety, depressive symptoms, and satisfaction with life), accounting for covariates including racial composition of the neighborhood. We considered three mediating factors: perceived neighborhood cohesion, aesthetics, and discrimination. Although all participants lived in redlined neighborhoods compared to the complete Detroit Metropolitan area, participants with very low income, low levels of experienced discrimination, and lower perceptions of neighborhood aesthetics resided in highly redlined neighborhoods (score ≥5). We observed that higher resident-reported neighborhood aesthetics were found in neighborhoods with lower redlining scores and were associated with higher levels of satisfaction with life. We found that lower levels of redlining were significantly associated with higher levels of perceived discrimination, which was significantly, positively associated with anxiety, depressive symptoms, and perceived stress scores. Our findings highlight that contemporary redlining practices may influence the aesthetics of the built environment because these neighborhoods experience less investment, with implications for residents' satisfaction with life. However, areas with lower redlining may be areas where Black/African American people experience increased perceived discrimination.

Structural Racism, Historical Redlining, and Incidence of Kidney Failure in US Cities, 2012-2019

SIGNIFICANCE STATEMENT

Residing in neighborhoods designated as grade D (hazardous) by the Home Owners' Loan Corporation (HOLC) under historical redlining-a discriminatory housing policy beginning in the 1930s-has been associated with present-day adverse health outcomes such as diabetes mortality. Historical redlining might underlie conditions in present-day neighborhoods that contribute to inequitable rates of kidney failure incidence, particularly for Black individuals, but its association with kidney disease is unknown. The authors found that among adults with incident kidney failure living in 141 metropolitan areas, residence in a historically redlined neighborhood rated grade D was associated with significantly higher kidney failure incidence rates compared with residence in a redlined grade A (best) neighborhood. These findings suggest that historical racist policies continue to affect current-day racial inequities in kidney health.

BACKGROUND

Historical redlining was a 1930s federally sponsored housing policy that permitted the Home Owners' Loan Corporation (HOLC) to develop color-coded maps and grade neighborhoods' mortgage lending risk on the basis of characteristics that included racial makeup. This practice has been associated with present-day health disparities. Racial inequities in kidney disease-particularly for Black individuals-have been linked to residential segregation and other structural inequities.

METHODS

Using a registry of people with incident kidney failure and digitized HOLC maps, we examined the association between residence in a historically redlined US census tract (CT) with a historical HOLC grade of D or hazardous) and present-day annual CT-level incidence of kidney failure incidence among adults in 141 US metropolitan areas, in 2012 through 2019.

RESULTS

Age-adjusted and sex-adjusted kidney failure incidence rates were significantly higher in CTs with a historical HOLC grade D compared with CTs with a historical HOLC grade of A or best (mean, 740.7 per million versus 326.5 per million, respectively, a difference of 414.1 per million). Compared with national averages of all adults in our sample, rates of kidney failure incidence were higher for Black adults in our study sample, irrespective of CT HOLC grade. Age-adjusted and sex-adjusted incidence rates for Black persons in CTs with a HOLC grade D were significantly higher than for Black persons residing in HOLC grade A CTs (mean, 1227.1 per million versus 1030.5 per million, respectively [a difference of 196.6 per million]).

CONCLUSIONS

Historical redlining is associated with present-day disparities in kidney failure incidence, demonstrating the legacy of historical racist policies on contemporary racial inequities in kidney health.

PODCAST

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_08_24_JASN0000000000000165.mp3.

Impact of Neighborhood on Cardiovascular Health: A Contemporary Narrative Review

PURPOSE OF REVIEW

This review summarizes approaches towards neighborhood characterization in relation to cardiovascular health; contemporary investigations relating neighborhood factors to cardiovascular risk and disease; and initiatives to support community-based interventions to address neighborhood-based social determinants related to cardiovascular health.

RECENT FINDINGS

Neighborhoods may be characterized by Census-derived measures, geospatial data, historical databases, and metrics that incorporate data from electronic medical records and health information exchange databases. Current research has examined neighborhood determinants spanning racial segregation, access to healthcare and food, educational opportunities, physical and built environment, and social environment, and their relations to cardiovascular health and associated outcomes. Community-based interventions have potential to alleviate health disparities but remain limited by implementation challenges. Consideration of neighborhood context is essential in the design of interventions to prevent cardiovascular disease (CVD) and promote health equity. Partnership with community stakeholders may enhance implementation of programs addressing neighborhood-based health determinants.

Resiliency Among Women's Health Initiative Women Aged 80 and Older by Race, Ethnicity, and Neighborhood Socioeconomic Status

OBJECTIVES

A comprehensive examination of resilience by race, ethnicity, and neighborhood socioeconomic status (NSES) among women aged ≥80 is needed, given the aging of the U.S. population, increasing longevity, and growing racial and ethnic diversity.

METHODS

Participants were women aged ≥80 enrolled in the Women's Health Initiative. Resilience was assessed with a modified version of the Brief Resilience Scale. Descriptive statistics and multiple linear regression examined the association of demographic, health, and psychosocial variables with resilience by race, ethnicity, and NSES.

RESULTS

Participants (n = 29,367, median age = 84.3) were White (91.4%), Black (3.7%), Hispanic (1.9%), and Asian (1.7%) women. There were no significant differences by race and ethnicity on mean resiliency scores (p = .06). Significant differences by NSES were observed regarding mean resiliency scores between those with low NSES (3.94 ± 0.83, out of 5) and high NSES (4.00 ± 0.81). Older age, higher education, higher self-rated health, lower stress, and living alone were significant positive correlates of resilience in the sample. Social support was correlated with resilience among White, Black, and Asian women, but not for Hispanic women. Depression was a significant correlate of lower resilience, except among Asian women. Living alone, smoking, and spirituality were significantly associated with higher resilience among women with moderate NSES.

DISCUSSION

Multiple factors were associated with resilience among women aged ≥80 in the Women's Health Initiative. Despite some differing correlates of resilience by race, ethnicity, and NSES, there were many similarities. These results may aid in the design of resilience interventions for the growing, increasingly diverse population of older women.

Redlining-associated methylation in breast tumors: the impact of contemporary structural racism on the tumor epigenome

Purpose

Place-based measures of structural racism have been associated with breast cancer mortality, which may be driven, in part, by epigenetic perturbations. We examined the association between contemporary redlining, a measure of structural racism at the neighborhood level, and DNA methylation in breast tumor tissue.

Methods

We identified 80 Black and White women diagnosed and treated for a first-primary breast cancer at Emory University Hospitals (2008-2017). Contemporary redlining was derived for census tracts using the Home Mortgage Disclosure Act database. Linear regression models were used to calculate the association between contemporary redlining and methylation in breast tumor tissue. We also examined epigenetic age acceleration for two different metrics, regressing β values for each cytosine-phosphate-guanine dinucleotide (CpG) site on redlining while adjusting for covariates. We employed multivariable Cox-proportional hazards models and 95% confidence intervals (CI) to estimate the association between aberrant methylation and mortality.

Results

Contemporary redlining was associated with 5 CpG sites after adjustment for multiple comparisons (FDR<0.10). All genes were implicated in breast carcinogenesis, including genes related to inflammation, immune function and stress response (ANGPT1, PRG4 and PRG4). Further exploration of the top 25 CpG sites, identified interaction of 2 sites (MRPS28 and cg11092048) by ER status and 1 site (GDP1) was associated with all-cause mortality. Contemporary redlining was associated with epigenetic age acceleration by the Hannum metric (β=5.35; CI 95%=0.30,10.4) and showed positive but non-significant correlation with the other clock.

Conclusion

We identified novel associations between neighborhood contemporary redlining and the breast tumor DNA methylome, suggesting that racist policies leading to inequitable social and environmental exposures, may impact the breast tumor epigenome. Additional research on the potential implications for prognosis is needed.

"We've Got to Bring Information to Where People Are Comfortable": Community-Based Advance Care Planning with the Black Community

BACKGROUND

People identifying as Black/African American are less likely to engage in advance care planning (ACP) compared to their White peers, despite the association of ACP with improved patient and caregiver outcomes.

OBJECTIVES

Assess facilitators/barriers to ACP in the San Francisco (SF) Black community and co-design/implement/test community-based ACP pilot events.

DESIGN

Community-based participatory research, including qualitative research, intervention development, and implementation.

PARTICIPANTS

In partnership with the SF Palliative Care Workgroup (which includes health system, city, and community-based organizations), we formed an African American Advisory Committee (n = 13). We conducted 6 focus groups with Black older adults (age ≥ 55), caregivers, and community leaders (n = 29). The Advisory Committee then selected 5 community-based organizations through a widespread request for proposal. These community-based organizations designed and implemented community-based pilot events to support ACP engagement.

MAIN MEASURES

Two authors analyzed recorded focus group transcripts using thematic analysis. We assessed pre- vs post-event readiness to engage in ACP (validated ACP Engagement Survey; 1-4 scale, 4 = most ready) using Wilcoxon signed rank tests and assessed event acceptability with open-ended questions.

KEY RESULTS

Themes included the importance of ACP to the Black community (sub-themes: strengthens families; preserves dignity, particularly for sexual/gender minorities; is tied to financial planning) and facilitators for increasing ACP engagement (sub-themes: culturally relevant materials; events in trusted community spaces including Black-owned businesses). A total of 114 participants attended 5 events; 74% identified as Black, and 16% as sexual/gender minorities. Readiness to engage in ACP was similar pre- vs post-events; 98% would recommend the events to others.

CONCLUSIONS

Community-based ACP events designed and led by and for the Black community are highly acceptable. Novel insights underscored the importance of financial planning as part of ACP and the role of Black-owned businesses as trusted spaces for ACP-related discussions.

Structural Racism and Adolescent Mental Health Disparities in Northern California

Importance

Understanding how structural racism is associated with adolescent mental health is critical to advance health equity.

Objective

To assess associations between neighborhood privilege, measured by the Index of Concentration at the Extremes (ICE) and adolescent depressive symptoms, suicidality, and related racial and ethnic disparities.

Design, Setting, and Participants

This was a retrospective cohort study using electronic health records of adolescents aged 12 to 16 years who attended well-teen visits between 2017 and 2021. Kaiser Permanente Northern California is an integrated health care delivery system serving 4.6 million members. The cohort included 34 252 individuals born singleton at an affiliated facility from January 1, 2005, to December 31, 2009, and who had completed at least 1 mental health screener during a well-teen visit by November 23, 2021.

Exposures

American Community Survey 2016 to 2021 5-year estimates were used to calculate ICE scores for adolescents' residential census tract at ages 10 to 11. Three ICE measures were used as proxies of structural racism: racial privilege (ICE-race and ethnicity; hereinafter ICE-race), economic privilege (ICE-income), and combined economic and racial privilege (ICE-income plus race and ethnicity; herinafter ICE-income plus race). ICE scores were categorized into quintiles based on California statewide distributions.

Main Outcomes and Measures

Depressive symptoms and suicidality were assessed through self-report screeners during well-teen visits. Depressive symptoms were considered to be present if patients had a score on the Patient Health Questionnaire-2 of 3 or higher (the tool uses a Likert scale to determine the frequency [0 = not at all; 3 = nearly every day] that they had depressed mood and lack of pleasure in usual activities in the past 2 weeks; responses were summed and dichotomized).

Results

Analyses included 34 252 adolescents (12-16 years of age; mean [SD] age, 13.7 [0.8] years; 17 557 [51.3%] male, 7284 [21.3%] Asian or Pacific Islander, 2587 [7.6%] Black], 9061 [26.5%] Hispanic, 75 [0.2%] American Indian or Indigenous, 12 176 [35.5%] White, and 3069 [9%] other or unknown). Risks of depressive symptoms and suicidality generally increased with each level of declining neighborhood privilege. Adjusted risk ratios comparing adolescents from neighborhoods with the least to most racial and economic privilege were 1.37 (95% CI, 1.20-1.55) for depressive symptoms and 1.59 (95% CI, 1.23-2.05) for suicidality. Racial disparities between Black and White youth and Hispanic and White youth decreased after adjusting for each ICE measure, and became nonsignificant in models adjusting for ICE-race and ICE-income plus race.

Conclusions and Relevance

In this cohort study, lower neighborhood privilege was associated with greater risks of adolescent depressive symptoms and suicidality. Furthermore, adjusting for neighborhood privilege reduced mental health disparities affecting Black and Hispanic adolescents. These findings suggest that efforts to promote equity in adolescent mental health should extend beyond the clinical setting and consider the inequitable neighborhood contexts that are shaped by structural racism.

Perspectives From Community-Based HIV Service Organization Leaders on Priorities in Serving Sexual and Gender Minority Populations

Sexual and gender minority (SGM) populations experience discrimination and care-related barriers when seeking appropriate sexual health services. Using rapid assessment procedures we conducted site visits with 11 community-based HIV service agencies to identify priorities, assets, and needs related to serving SGM clients and assessed the alignment of these services with the city's local Ending the HIV Epidemic plan. We identified and mapped themes across agencies into the Consolidated Framework for Implementation Research domains of inner and outer settings: client-facing materials; priorities in serving SGM communities; SGM policies and protocols; collecting sexual orientation and gender identity data; training and education; and funding and scope of programs. Rapid assessment procedures can accelerate the collection and interpretation of data to help public health institutions and community partners make timely adaptations when implementing comprehensive and culturally humble sexual health services for SGM communities.

Historical Redlining, Socioeconomic Distress, and Risk of Heart Failure Among Medicare Beneficiaries

BACKGROUND

The association of historical redlining policies, a marker of structural racism, with contemporary heart failure (HF) risk among White and Black individuals is not well established.

METHODS

We aimed to evaluate the association of redlining with the risk of HF among White and Black Medicare beneficiaries. Zip code-level redlining was determined by the proportion of historically redlined areas using the Mapping Inequality Project within each zip code. The association between higher zip code redlining proportion (quartile 4 versus quartiles 1-3) and HF risk were assessed separately among White and Black Medicare beneficiaries using generalized linear mixed models adjusted for potential confounders, including measures of the zip code-level Social Deprivation Index.

RESULTS

A total of 2 388 955 Medicare beneficiaries (Black n=801 452; White n=1 587 503; mean age, 71 years; men, 44.6%) were included. Among Black beneficiaries, living in zip codes with higher redlining proportion (quartile 4 versus quartiles 1-3) was associated with increased risk of HF after adjusting for age, sex, and comorbidities (risk ratio, 1.08 [95% CI, 1.04-1.12]; P<0.001). This association remained significant after further adjustment for area-level Social Deprivation Index (risk ratio, 1.04 [95% CI, 1.002-1.08]; P=0.04). A significant interaction was observed between redlining proportion and Social Deprivation Index (Pinteraction<0.01) such that higher redlining proportion was significantly associated with HF risk only among socioeconomically distressed regions (above the median Social Deprivation Index). Among White beneficiaries, redlining was associated with a lower risk of HF after adjustment for age, sex, and comorbidities (risk ratio, 0.94 [95% CI, 0.89-0.99]; P=0.02).

CONCLUSIONS

Historical redlining is associated with an increased risk of HF among Black patients. Contemporary zip code-level social determinants of health modify the relationship between redlining and HF risk, with the strongest relationship between redlining and HF observed in the most socioeconomically disadvantaged communities.

Because its power remains naturalized: introducing the settler colonial determinants of health

Indigenous people suffer earlier death and more frequent and severe disease than their settler counterparts, a remarkably persistent reality over time, across settler colonized geographies, and despite their ongoing resistance to elimination. Although these health inequities are well-known, they have been impervious to comprehensive and convincing explication, let alone remediation. Settler colonial studies, a fast-growing multidisciplinary and interdisciplinary field, is a promising candidate to rectify this impasse. Settler colonialism's relationship to health inequity is at once obvious and incompletely described, a paradox arising from epistemic coloniality and perceived analytic challenges that we address here in three parts. First, in considering settler colonialism an enduring structure rather than a past event, and by wedding this fundamental insight to the ascendant structural paradigm for understanding health inequities, a picture emerges in which this system of power serves as a foundational and ongoing configuration determining social and political mechanisms that impose on human health. Second, because modern racialization has served to solidify and maintain the hierarchies of colonial relations, settler colonialism adds explanatory power to racism's health impacts and potential amelioration by historicizing this process for differentially racialized groups. Finally, advances in structural racism methodologies and the work of a few visionary scholars have already begun to elucidate the possibilities for a body of literature linking settler colonialism and health, illuminating future research opportunities and pathways toward the decolonization required for health equity.

Association Between Historical Neighborhood Redlining and Cardiovascular Outcomes Among US Veterans With Atherosclerotic Cardiovascular Diseases

Importance

In the 1930s, the government-sponsored Home Owners' Loan Corporation (HOLC) established maps of US neighborhoods that identified mortgage risk (grade A [green] characterizing lowest-risk neighborhoods in the US through mechanisms that transcend traditional risk factors to grade D [red] characterizing highest risk). This practice led to disinvestments and segregation in neighborhoods considered redlined. Very few studies have targeted whether there is an association between redlining and cardiovascular disease.

Objective

To evaluate whether redlining is associated with adverse cardiovascular outcomes in US veterans.

Design, Setting, and Participants

In this longitudinal cohort study, US veterans were followed up (January 1, 2016, to December 31, 2019) for a median of 4 years. Data, including self-reported race and ethnicity, were obtained from Veterans Affairs medical centers across the US on individuals receiving care for established atherosclerotic disease (coronary artery disease, peripheral vascular disease, or stroke). Data analysis was performed in June 2022.

Exposure

Home Owners' Loan Corporation grade of the census tracts of residence.

Main Outcomes and Measures

The first occurrence of major adverse cardiovascular events (MACE), comprising myocardial infarction, stroke, major adverse extremity events, and all-cause mortality. The adjusted association between HOLC grade and adverse outcomes was measured using Cox proportional hazards regression. Competing risks were used to model individual nonfatal components of MACE.

Results

Of 79 997 patients (mean [SD] age, 74.46 [10.16] years, female, 2.9%; White, 55.7%; Black, 37.3%; and Hispanic, 5.4%), a total of 7% of the individuals resided in HOLC grade A neighborhoods, 20% in B neighborhoods, 42% in C neighborhoods, and 31% in D neighborhoods. Compared with grade A neighborhoods, patients residing in HOLC grade D (redlined) neighborhoods were more likely to be Black or Hispanic with a higher prevalence of diabetes, heart failure, and chronic kidney disease. There were no associations between HOLC and MACE in unadjusted models. After adjustment for demographic factors, compared with grade A neighborhoods, those residing in redlined neighborhoods had an increased risk of MACE (hazard ratio [HR], 1.139; 95% CI, 1.083-1.198; P < .001) and all-cause mortality (HR, 1.129; 95% CI, 1.072-1.190; P < .001). Similarly, veterans residing in redlined neighborhoods had a higher risk of myocardial infarction (HR, 1.148; 95% CI, 1.011-1.303; P < .001) but not stroke (HR, 0.889; 95% CI, 0.584-1.353; P = .58). Hazard ratios were smaller, but remained significant, after adjustment for risk factors and social vulnerability.

Conclusions and Relevance

In this cohort study of US veterans, the findings suggest that those with atherosclerotic cardiovascular disease who reside in historically redlined neighborhoods continue to have a higher prevalence of traditional cardiovascular risk factors and higher cardiovascular risk. Even close to a century after this practice was discontinued, redlining appears to still be adversely associated with adverse cardiovascular events.

Intersections of oppression: Examining the interactive effect of racial discrimination and neighborhood poverty on PTSD symptoms in Black women

Black Americans living in urban environments are disproportionately impacted by posttraumatic stress disorder (PTSD). Both racial discrimination and neighborhood poverty are factors that contribute to this health disparity. However, studies focused on the intersection of these two oppressive systems on PTSD symptoms are lacking. To address this gap in the literature, we assessed the interactive effects of racial discrimination and neighborhood poverty on PTSD symptoms in an urban sample of trauma-exposed Black women (N = 300). Simple moderation analysis was used to assess the main and interactive effects of racial discrimination and neighborhood poverty on PTSD symptoms. The overall model significantly predicted PTSD symptoms, with a main effect of racial discrimination (B = 1.87, p = .009) and neighborhood poverty rate (B = 0.29, p = .008), independent of prior trauma exposure and percentage of Black residents in the zip code. More frequent experiences of racial discrimination and higher rates of neighborhood poverty both predicted higher PTSD symptoms. There was also a trending interaction of racial discrimination and neighborhood poverty (B = -0.05, p = .054), where the effect of neighborhood poverty on PTSD symptoms was only present for those who reported fewer experiences of racial discrimination. Our results suggest that people who have experienced more instances of racial discrimination show high levels of PTSD symptoms regardless of neighborhood poverty rates and highlight the importance of considering multiple levels of oppression that Black individuals face while diagnosing and treating stress-related psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Historical redlining and breast cancer treatment and survival among older women in the United States

BACKGROUND

Breast cancer (BC) is the most common cancer among US women, and institutional racism is a critical cause of health disparities. We investigated impacts of historical redlining on BC treatment receipt and survival in the United States.

METHODS

Home Owners' Loan Corporation (HOLC) boundaries were used to measure historical redlining. Eligible women in the 2010-2017 Surveillance, Epidemiology, and End Results-Medicare BC cohort were assigned a HOLC grade. The independent variable was a dichotomized HOLC grade: A and B (nonredlined) and C and D (redlined). Outcomes of receipt of various cancer treatments, all-cause mortality (ACM), and BC-specific mortality (BCSM) were analyzed using logistic or Cox models. Indirect effects by comorbidity were examined.

RESULTS

Among 18 119 women, 65.7% resided in historically redlined areas (HRAs), and 32.6% were deceased at a median follow-up of 58 months. A larger proportion of deceased women resided in HRAs (34.5% vs 30.0%). Of all deceased women, 41.6% died of BC; a larger proportion resided in HRAs (43.4% vs 37.8%). Historical redlining is a statistically significant predictor of poorer survival after BC diagnosis (hazard ratio = 1.09, 95% confidence interval [CI] = 1.03 to 1.15 for ACM, and hazard ratio = 1.26, 95% CI = 1.13 to 1.41 for BCSM). Indirect effects via comorbidity were identified. Historical redlining was associated with a lower likelihood of receiving surgery (odds ratio = 0.74, 95% CI = 0.66 to 0.83, and a higher likelihood of receiving palliative care odds ratio = 1.41, 95% CI = 1.04 to 1.91).

CONCLUSION

Historical redlining is associated with differential treatment receipt and poorer survival for ACM and BCSM. Relevant stakeholders should consider historical contexts when designing and implementing equity-focused interventions to reduce BC disparities. Clinicians should advocate for healthier neighborhoods while providing care.

Use of the Improvement Index to Evaluate Equitable COVID-19 Vaccine Allocation in the San Francisco Bay Area

Introduction

A social determinants of health index score or Vaccine Equity Metric was used to prioritize resources and address geographic disparities in California's vaccination coverage. We calculated the improvement index or percentage of the vaccination disparity gap closed to evaluate the impacts of this vaccination strategy in the San Francisco Bay Area during the SARS-CoV-2 Delta variant surge.

Methods

We conducted a cross-sectional study on San Francisco Bay Area ZIP codes during the Delta surge (July 6-October 5, 2021). Data came from the California Immunization Registry and the 2019 5-year American Community Survey. We used Spearman correlations to examine the relationships between Vaccine Equity Metric category and vaccine coverage and Kruskal-Wallis tests to compare vaccination improvement index across Vaccine Equity Metric categories.

Results

We studied 248 ZIP codes in the San Francisco Bay Area. Those with the lowest resources (Vaccine Equity Metric Level 1) had the highest absolute increase in vaccination coverage (14.3 vs 5.4 percentage points in Vaccine Equity Metric Level 4), although a contribution was higher starting vaccination rates in Level 4 ZIP codes with the greatest resources. The ratio of vaccination coverage between the lowest- and highest-resourced ZIP codes increased from 0.79 to 0.9, suggesting reduced disparity. However, it is difficult to interpret given wide differences in n (Level 1 n=8 vs Level 4 n=151). In contrast, the vaccination improvement index accounts for each Vaccine Equity Metric category's baseline vaccination; all were statistically similar (grand mean=41.5%, p=0.367), implying comparable improvement across all ZIP codes.

Conclusions

Using a Vaccine Equity Metric to identify and prioritize resources to vulnerable communities contributed to equitable vaccine allocation in the San Francisco Bay Area. Our study shows an example of the improvement index's advantages over conventional health equity metrics, such as absolute differences and relative effect measures, which can overestimate an intervention's impact.

Structural Racism as an Ecosystem: An Exploratory Study on How Structural Racism Influences Chronic Disease and Health and Wellbeing of First Nations in Canada

Indigenous peoples in Canada experience disproportionately higher rates of chronic disease than their non-Indigenous counterparts. Previous research has identified structural racism as a powerful determinant of health and wellbeing. Mounting evidence demonstrates that First Nations are disproportionately over-represented, compared to other Canadians, in several domains that have been used to measure structural racism in other countries. Despite growing concern of the impact of structural racism on health, there remains little empirical evidence on the impact structural racism has on chronic disease health outcomes of First Nations. This qualitative study examines the complex and intersecting ways in which structural racism can influence chronic disease health outcomes and the overall health and wellbeing of First Nations in Canada. In-depth semi-structured interviews were conducted with twenty-five participants, including subject matter experts in health, justice, education, child welfare, politics, and researchers in racism scholarship and First Nations who have lived experience with a chronic condition(s). Thematic analysis was used to analyze the data collected. Six themes on how structural racism influences chronic disease and the health of First Nations were identified: (1) multiple and intersecting pathways; (2) systems of failure, harm, and indifference; (3) impacts on access to healthcare; (4) colonial policies of structural deprivation; (5) increased risk factors for chronic disease and poor health; and (6) structural burden leading to individual-level outcomes. Structural racism creates an ecosystem that negatively impacts chronic diseases and the health of First Nations. The findings illuminate how structural racism can have micro-level influences at an individual level and can influence one's chronic disease journey and progression. Recognizing how structural racism shapes our environments may help to catalyze a shift in our collective understanding of the impact of structural racism on health.

Racialized Housing Discrimination and Population Health: a Scoping Review and Research Agenda

Racial residential segregation is considered a fundamental cause of racial health disparities, with housing discrimination as a critical driver of residential segregation. Despite this link, racial discrimination in housing is far less studied than segregation in the population health literature. As a result, we know little about how discrimination in housing is linked to health beyond its connection to segregation. Furthermore, we need to understand how health impacts differ across different types of housing discrimination. This review aims to assess the state of the population health literature on the conceptualization, measurement, and health implications of housing discrimination. We used PRISMA guidelines for scoping reviews and presented the data on 32 articles that met our inclusion criteria published before January 1, 2022. Nearly half of the articles do not define housing discrimination explicitly. Additionally, there is considerable variation in how housing discrimination is operationalized across studies. Compared to studies using administrative data for housing discrimination exposures, studies using survey data were more likely to report a detrimental association with health outcomes. Synthesizing and comparing the results of these studies helps bridge methodological approaches to this research. Our review helps inform the debate on how racism impacts population health. Given the changing nature of racial discrimination over time and place, we discuss how population health researchers can approach studying various forms of housing discrimination.

Disparities in cancer incidence by rurality in California

BACKGROUND

Cancer rates in rural areas across the United States have different patterns than in urban areas. This study examines associations between rurality and incidence for the top 5 cancers in California and evaluates whether these associations vary jointly by sex, race, and ethnicity.

METHODS

We used 2015-2019 California Cancer Registry data to compare incidence rate ratios (IRRs) and trends for breast, prostate, lung, colorectal, and skin (melanoma) cancers. We leveraged census tract aggregation zones and 7 levels of percentage rural population (0%, >0% to <10%, 10% to <20%, 20% to <30%, 30% to <40%, 40% to <50%, and 50+%).

RESULTS

Zones with higher proportions of rural population were significantly associated with lower incidence of female breast cancer and prostate cancer, though the trends were not statistically significant overall. Zones with higher proportions of rural population were significantly associated with higher incidence of lung cancer and melanoma. There were no statistically significant trends for colorectal cancer overall. Comparing areas with 50% and over rural population with areas with 0% rural population, the IRR for lung cancer in Hispanic females was higher (IRR = 1.43, 95% confidence interval [CI] = 1.17 to 1.74) than in Hispanic males (IRR = 0.90, 95% CI = 0.72 to 1.11). Also, in areas with 50% or more rural population, the IRR for melanoma was higher in Hispanic females (IRR = 1.75, 95% CI = 1.23 to 2.45) than non-Hispanic White females (IRR = 0.87, 95% CI = 0.80 to 0.95).

CONCLUSIONS

Our findings show that rurality is associated with cancer incidence and underscore the importance of jointly examining rural disparities with sex, race, and ethnicity by cancer site.

Place, Race, and Case: Examining Racialized Economic Segregation and COVID-19 in Louisiana

Early COVID-19 pandemic data suggested racial/ethnic minority and low-income earning people bore the greatest burden of infection. Structural racism, the reinforcement of racial and ethnic discrimination via policy, provides a framework for understanding disparities in health outcomes like COVID-19 infection. Residential racial and economic segregation is one indicator of structural racism. Little attention has been paid to the relationship of infection to relative overall concentrations of risk (i.e., segregation of the most privileged from the most disadvantaged). We used ordinary least squares and geographically weighted regression models to evaluate the relationship between racial and economic segregation, measured by the Index of Concentration at the Extremes, and COVID-19 cases in Louisiana. We found a significant global association between racial segregation and cumulative COVID-19 case rate in Louisiana and variation across the state during the study period. The northwest and central regions exhibited a strong negative relationship indicating greater risk in areas with high concentrations of Black residents. On the other hand, the southeastern part of the state exhibited more neutral or positive relationships indicating greater risk in areas with high concentrations of White residents. Our findings that the relationship between racial segregation and COVID-19 cases varied within a state further support evidence that social and political determinants, not biological, drive racial disparities. Small area measures and measures of polarization provide localized information better suited to tailoring public health policy according to the dynamics of communities at the census tract level, which may lead to better health outcomes.

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness

PURPOSE

Redlining was a discriminatory housing policy in the United States that began in 1933 and denoted neighborhoods with high proportions of Black individuals as "undesirable" and a high risk for lending, which therefore excluded people from obtaining traditional insured mortgages to purchase a home. Simultaneously, realtors discouraged Black individuals from purchasing homes in predominantly non-Black neighborhoods. This resulted in decreased home ownership and wealth accumulation among Black individuals and neighborhoods with high proportions of Black individuals. This study investigated rates of visual impairment and blindness (VIB) in neighborhoods that at one time were graded for redlining.

DESIGN

Secondary data analysis of American Community Survey data and historical grades for redlining.

PARTICIPANTS

United States census tracts (CTs) from 2010 with historical grades for redlining.

METHODS

One-way analysis of variance, Kruskal-Wallis test, chi-square test, and logistic regression modeling.

MAIN OUTCOME MEASURES

The main outcome was CT percentage of residents reporting VIB and the association with historical grades for redlining. Grades were converted to numeric values (1 to 4, with higher values indicating worse grade) and aggregated over a CT based on the distribution of grades within to obtain a redlining score. Logistic regression was used to model the effect of redlining on the probability of having VIB.

RESULTS

Eleven thousand six hundred sixty-eight CTs were analyzed. Logistic regression found that a 1-unit increase in average redlining score was associated with a 13.4% increased odds of VIB after controlling for CT measures of age, sex, people of color (any non-White race), state, and population size (odds ratio [OR], 1.134; 95% confidence interval [CI], 1.131-1.138; P < 0.001). Similar results were observed for an additional model that adjusted for the estimated percentage of Black residents within a CT (OR, 1.180; 95% CI, 1.177-1.183; P < 0.001).

CONCLUSIONS

Historical government-sanctioned residential segregation through redlining was found to be associated with higher proportions of people living with VIB in these neighborhoods today. Understanding how neighborhood segregation impacts eye health is important for planning improved mechanisms of eye care delivery to mitigate health disparities.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.