Exposure to structural racism-related state laws is associated with worse cardiovascular health among US adults, BRFSS 2011 and 2013.

The objective of this study was to determine whether exposure to structural racism-related state laws is associated with cardiovascular health among a racially and ethnically diverse sample of US adults. Data were from the Database of Structural Racism-Related State Laws and the Behavioral Risk Factor Surveillance System (BRFSS). The sample included 958,019 BRFSS 2011 and 2013 respondents aged 18+ from all 50 US states. The exposure was a summary index of 22 state laws related to the criminal legal system, economics and labor, education, healthcare, housing, immigration, and political participation. The outcome was the American Heart Association's Life's Simple 7 (LS7), a summary index of seven cardiovascular health indicators. Linear regression models included fixed effects for year and state to control for time trends and unmeasured time-invariant state-level contextual factors. In the full sample, a one standard deviation increase in the structural racism state legal index was associated with a 0.06-unit decrease in the LS7 (b=-0.06; 95% CI:-0.09, 0.02; p=0.001), controlling for individual- and state-level covariates. Contrary to expectations, stratified models revealed no statistically significant differences by race and ethnicity in the association between the structural racism state legal index and the LS7.

State-level structural racism and adolescent mental health in the United States.

We explored state-level indicators of structural racism on internalizing symptoms of depressive affect among US adolescents. We merged 16 indicators of state-level structural racism with 2015-19 Monitoring the Future surveys (N=41,258) examining associations with loneliness, self-esteem, self-derogation, and depressive symptoms using regression analyses. Students racialized as Black in states with bans on food stamp eligibility and temporary assistance for drug felony conviction had 1.37 times the odds of high depressive symptoms (95% C.I. 1.01-1.89) compared to students in states without bans. In contrast, students racialized as White living in states with more severe disenfranchisement of people convicted of felonies had lower odds of high self-derogation (OR=0.89, 95% C.I. 0.78-1.02) and high depressive symptoms (OR=0.83, 95% C.I. 0.70-0.99) compared to states with less severe disenfranchisement. These findings demonstrate the need to address the legacy of structural racism at the state level to reduce mental distress for US youth.

Strategies and Considerations for Addressing Race and Racism in Quantitative Family Planning Studies.

OBJECTIVE: Family planning researchers have not critically engaged with topics of race, racism, and associated concepts like ethnicity. This lack of engagement contributes to the reproduction of research that reifies racial hierarchies rather than illuminates, and interrupts, the processes by which racism affects health. This research practice support paper lays out considerations and best practices for addressing race and racism in quantitative family planning research. STUDY DESIGN: We are scholars with racialized identities and expertise in racial health equity in family planning research. We draw from scholarship and guidance across disciplines to examine common shortcomings in the use and analysis of race and racism and propose practices for rigorous use of these concepts in quantitative family planning research. RESULTS: We recommend articulating the role of race and racism in the development of the research question, authorship and positionality, study design, data collection, analytic approach, and interpretation of analyses. Definitions of relevant concepts and additional resources are provided. CONCLUSION: Family planning and racism are inextricably linked. Failing to name and analyze the pathways through which structural racism affects family planning and the people who need or want to plan if, when, or how to become pregnant or parent may reproduce harmful and incorrect beliefs about the causes of health inequities and the attributes of Black, Indigenous, and other people racialized as non-white. Family planning researchers should critically study racism and race with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches. IMPLICATIONS: Family planning research can better contribute to efforts to eliminate racialized health inequities, and avoid perpetuating harmful beliefs and conceptualizations of race, by ensuring that they study race and racism with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches.

Historical Structural Racism in the Built Environment and Physical Health among Residents of Allegheny County, Pennsylvania.

Historical structural racism in the built environment contributes to health inequities, yet to date, research has almost exclusively focused on racist policy of redlining. We expand upon this conceptualization of historical structural racism by examining the potential associations of probable blockbusting, urban renewal, and proximity to displacement from freeway construction, along with redlining, to multiple contemporary health measures. Analyses linked historical structural racism, measured continuously at the census-tract level using archival data sources, to present-day residents' physical health measures drawn from publicly accessible records for Allegheny County, Pennsylvania. Outcome measures included average life expectancy and the percentage of residents reporting hypertension, stroke, coronary heart disease, smoking, insufficient sleep, sedentary behavior, and no health insurance coverage. Multiple regression analyses were conducted to examine separate and additive associations between structural racism and physical health measures. Redlining, probable blockbusting, and urban renewal were associated with shorter life expectancy and a higher prevalence of cardiovascular conditions, risky health behaviors, and residents lacking health insurance coverage. Probable blockbusting and urban renewal had the most consistent correlations with all 8 health measures, while freeway displacement was not reliably associated with health. Additive models explained a greater proportion of variance in health than any individual structural racism measure alone. Moreover, probable blockbusting and urban renewal accounted for relatively more variance in health compared to redlining, suggesting that research should consider these other measures in addition to redlining. These preliminary correlational findings underscore the importance of considering multiple aspects of historical structural racism in relation to current health inequities and serve as a starting point for additional research.

Assessing Structural Racism and Discrimination Along the Pre-exposure Prophylaxis Continuum: A Systematic Review.

Structural racism and discrimination (SRD) is deeply embedded across U.S. healthcare institutions, but its impact on health outcomes is challenging to assess. The purpose of this systematic literature review is to understand the impact of SRD on pre-exposure prophylaxis (PrEP) care continuum outcomes across U.S. populations who could benefit from HIV prevention. Guided by PRISMA guidelines, we conducted a systematic review of the published literature up to September 2023 using PubMed and PsycInfo and included peer-reviewed articles meeting inclusion criteria. At least two authors independently screened studies, performed quality assessments, and abstracted data relevant to the topic. Exposure variables included race/ethnicity and any level of SRD (interpersonal, intra- and extra-organizational SRD). Outcomes consisted of any steps of the PrEP care continuum. A total of 66 studies met inclusion criteria and demonstrated the negative impact of SRD on the PrEP care continuum. At the interpersonal level, medical mistrust (i.e., lack of trust in medical organizations and professionals rooted from current or historical practices of discrimination) was negatively associated with almost all the steps across the PrEP care continuum: individuals with medical mistrust were less likely to have PrEP knowledge, adhere to PrEP care, and be retained in care. At the intra-organizational level, PrEP prescription was lower for Black patients due to healthcare provider perception of higher sex-risk behaviors. At the extra-organizational level, factors such as homelessness, low socioeconomic status, and incarceration were associated with decreased PrEP uptake. On the other hand, healthcare provider trust, higher patient education, and access to health insurance were associated with increased PrEP use and retention in care. In addition, analyses using race/ethnicity as an exposure did not consistently show associations with PrEP continuum outcomes. We found that SRD has a negative impact at all steps of the PrEP care continuum. Our results suggest that when assessing the effects of race/ethnicity without the context of SRD, certain relationships and associations are missed. Addressing multi-level barriers related to SRD are needed to reduce HIV transmission and promote health equity.

Structural gendered racism as conceptualized by immigrant women in the United States.

RATIONALE: Immigrants represent a rapidly growing proportion of the population, yet the many ways in which structural inequities, including racism, xenophobia, and sexism, influence their health remains largely understudied. Perspectives from immigrant women can highlight intersectional dimensions of structural gendered racism and the ways in which racial and gender-based systems of structural oppression interact. OBJECTIVE: This study aims to show the multilevel manifestations of structural gendered racism in the health experiences of immigrant women living in New York City. METHOD: Semi-structured, in-depth interviews were conducted in 2020 and 2021 with 44 cisgender immigrant women from different national origins in New York City to explore how immigrant women experienced structural gendered racism and its pathways to their health. Interviews were thematically analyzed using a constant comparative approach. RESULTS: Participants expressed intersectional dimensions of structural gendered racism and the anti-immigrant climate through restrictive immigration policy and issues related to citizenship status, disproportionate immigration enforcement and criminalization, economic exploitation, and gendered interpersonal racism experienced across a range of systems and contexts. Participants weighed their concerns for safety and facing racism as part of their life course and health decisions for themselves and their families. CONCLUSIONS: The perspectives and experiences of immigrant women are key to identifying multilevel solutions for the burdens of structural gendered racism, particularly among individuals and communities of non-U.S. national origin. Understanding how racism, sexism, xenophobia, and intersecting systems of oppression impact immigrant women is critical for advancing health equity.

The "disproportionate costs" of immigrant policy on the health of Latinx and Asian immigrants.

There is growing evidence that Asian and Latinx immigrants' health and health care access is shaped by immigrant policies that determine their rights, protections, and access to resources and the extent to which they are targeted by policing or deportation based on citizenship/legal status and other immigration-related social categories. However, there is limited population-based evidence of how immigrants experience the direct consequences of policies, nor of the impact of such consequences on their health. Between 2018 and 2020, we conducted the Research on Immigrant Health and State Policy (RIGHTS) Study, developing a population-based survey of Asian and Latinx immigrants in California (n = 2010) that measured 23 exclusionary experiences under health care and social services, education, labor/employment, and immigration enforcement policies. Applying Ruth Wilson Gilmore's concept of "disproportionate costs," we conducted a latent class analysis (LCA) and regression models of the RIGHTS data to 1) describe patterns of immigrant policy exclusion experienced by Asian and Latinx immigrants and 2) test relationships between patterns of policy exclusion and health care access and health status. LCA analyses identified 6 classes of distinct combinations of policy exclusions. In regression analyses, respondents in the class with cumulative exclusions across all policy sectors had the worst health care access and highest level of psychological distress, but the best self-rated health; while those in the class with employment and enforcement exclusions also had poor health care access. Respondents in the other 3 classes experienced combinations of health and social services exclusions, but these alone were not associated with worse outcomes. Findings show that the consequences of immigrant policies harm health through both cumulative exposure to and intersections of exclusions across policy sectors. Labor/employment and immigration enforcement policies, specifically, likely drive health inequities within immigrant populations. The RIGHTS study highlights the need to measure the cumulative and intersecting "disproportionate costs" of immigrant policy within diverse immigrant populations.

Development of Neighborhood Trajectories Employing Historic Redlining and the Area Deprivation Index.

The role of historic residential redlining on health inequities is intertwined with policy changes made before and after the 1930s that influence current neighborhood characteristics and shape ongoing structural racism in the United States (U.S.). We developed Neighborhood Trajectories which combine historic redlining data and the current neighborhood socioeconomic characteristics as a novel approach to studying structural racism. Home Owners' Loan Corporation (HOLC) neighborhoods for the entire U.S. were used to map the HOLC grades to the 2020 U.S. Census block group polygons based on the percentage of HOLC areas in each block group. Each block group was also assigned an Area Deprivation Index (ADI) from the Neighborhood Atlas®. To evaluate changes in neighborhoods from historic HOLC grades to present degree of deprivation, we aggregated block groups into "Neighborhood Trajectories" using historic HOLC grades and current ADI. The Neighborhood Trajectories are "Advantage Stable"; "Advantage Reduced"; "Disadvantage Reduced"; and "Disadvantage Stable." Neighborhood Trajectories were established for 13.3% (32,152) of the block groups in the U.S., encompassing 38,005,799 people. Overall, the Disadvantage-Reduced trajectory had the largest population (16,307,217 people). However, the largest percentage of non-Hispanic/Latino Black residents (34%) fell in the Advantage-Reduced trajectory, while the largest percentage of Non-Hispanic/Latino White residents (60%) fell in the Advantage-Stable trajectory. The development of the Neighborhood Trajectories affords a more nuanced mechanism to investigate dynamic processes from historic policy, socioeconomic development, and ongoing marginalization. This adaptable methodology may enable investigation of ongoing sociopolitical processes including gentrification of neighborhoods (Disadvantage-Reduced trajectory) and "White flight" (Advantage Reduced trajectory).

Towards anti-racist futures: a scoping review exploring educational interventions that address systemic racism in post graduate medical education.

Since 2020, brought to the forefront by movements such as Black Lives Matter and Idle No More, it has been widely acknowledged that systemic racism contributes to racially differentiated health outcomes. Health professional educators have been called to address such disparities within healthcare, policy, and practice. To tackle structural racism within healthcare, one avenue that has emerged is the creation of medical education interventions within postgraduate residency medical programming. The objective of this scoping review is to examine the current literature on anti-racist educational interventions, that integrate a systemic or structural view of racism, within postgraduate medical education. Through the identification and analysis of 23 papers, this review identified three major components of interest across medical interventions, including (a) conceptualization, (b) pedagogical issues, and (c) outcomes & evaluation. There were overlapping points of discussion and analysis within each of these components. Conceptualization addressed how researchers conceptualized racism in different ways, the range of curricular content educators chose to challenge racism, and the absence of community's role in curricular development. Pedagogical issues addressed knowledge vs. skills-based teaching, and tensions between one-time workshops and integrative curriculum. Outcomes and evaluation highlighted self-reported Likert scales as dominant types of evaluation, self-evaluation in educational interventions, and misalignments between intervention outcomes and learning objectives. The findings are unique in their in-depth exploration of anti-racist medical interventions within postgraduate medical education programming, specifically in relation to efforts to address systemic and structural racism. The findings contribute a meaningful review of the current state of the field of medical education and generate new conversations about future possibilities for a broader anti-racist health professions curriculum.

Still Separate, Still Not Equal: An Ecological Examination of Redlining and Racial Segregation with COVID-19 Vaccination Administration in Washington D.C.

Racial residential segregation has been deemed a fundamental cause of health inequities. It is a result of historical and contemporary policies such as redlining that have created a geographic separation of races and corresponds with an inequitable distribution of health-promoting resources. Redlining and racial residential segregation may have contributed to racial inequities in COVID-19 vaccine administration in the early stages of public accessibility. We use data from the National Archives (historical redlining), Home Mortgage Disclosure Act (contemporary redlining), American Community Survey from 1940 (historical racial residential segregation) and 2015-2019 (contemporary racial residential segregation), and Washington D.C. government (COVID-19 vaccination administration) to assess the relationships between redlining, racial residential segregation, and COVID-19 vaccine administration during the early stages of vaccine distribution when a tiered system was in place due to limited supply. Pearson correlation was used to assess whether redlining and racial segregation, measured both historically and contemporarily, were correlated with each other in Washington D.C. Subsequently, linear regression was used to assess whether each of these measures associate with COVID-19 vaccine administration. In both historical and contemporary analyses, there was a positive correlation between redlining and racial residential segregation. Further, redlining and racial residential segregation were each positively associated with administration of the novel COVID-19 vaccine. This study highlights the ongoing ways in which redlining and segregation contribute to racial health inequities. Eliminating racial health inequities in American society requires addressing the root causes that affect access to health-promoting resources.

Responding to structural inequities: Coping strategies among immigrant women during COVID-19.

Examining coping strategies and resilience among immigrant communities reflects a commitment to working with immigrant communities to understand their needs while also identifying and building upon their strengths. In the United States, the physical, emotional, and economic impacts of the COVID-19 pandemic intersected with existing structural inequities to produce distinct challenges and stressors related to the pandemic, immigration, caregiving responsibilities, and structural xenophobia. Leveraging an understanding of the multilevel effects of stress, this qualitative study explores individual, interpersonal, and community-level coping strategies immigrant women used to respond to, alleviate, or reduce distress related to these compounding stressors. Using semi-structured in-depth interviews conducted in 2020 and 2021 with 44 first- and second-generation cisgender immigrant women from different national origins and 19 direct service providers serving immigrant communities in New York City, data were coded and analyzed using a constant comparative approach. Four central themes were identified: caregiving as a source of strength, leveraging resources, social connections, and community support. While women described a range of coping strategies they used to manage stressors and challenges, perspectives from direct service providers also connect these coping strategies to the harm-generating institutions, policies, and structures that produce and uphold structural oppression and inequities. Accounts from service providers point to the detrimental long-term effects of prolonged coping, underscoring a duality between resilience and vulnerability. Exploring the coping strategies cisgender immigrant women used to ease distress and promote resilience during a period of heightened structural vulnerability is critical to centering the experiences of immigrant women while simultaneously directing attention towards addressing the fundamental causes of cumulative disadvantage and the systems and structures through which it is transmitted.

Individual and regional differences in the effects of school racial segregation on Black students' health.

Background: School racial segregation in the US has risen steadily since the 1990s, propelled by Supreme Court decisions rolling back the legacy of Brown v. Board. Quasi-experimental research has shown this resegregation harms Black students' health. However, whether individual or family characteristics (e.g., higher family incomes) are protective against segregation's health harms-or whether segregation is more damaging in regions of the US with fewer public sector investments-remains unclear. We leverage the quasi-random timing of school districts being released from Brown-era integration plans to examine heterogeneity in the association between resegregation and Black students' health. Methods & findings: We took an instrumental variables approach, using the timing of integration order releases as an instrument for school segregation and analyzing a pre-specified list of theoretically-motivated modifiers in the Panel Study of Income Dynamics. In sensitivity analyses, we fit OLS models that directly adjusted for relevant covariates. Results suggest resegregation may have been particularly harmful in the South, where districts resegregated more quickly after order releases. We find little evidence that the effects of school segregation differed across family income, gender, or age. Conclusion: The end of court-ordered integration threatens the health of Black communities-especially in the US South. Modestly higher incomes do not appear protective against school segregation's harms. Research using larger samples and alternative measures of school segregation-e.g., between districts, instead of within districts-may further our understanding of segregation's health effects, especially in Northern states.

Does structural racism impact receipt of NCCN guideline-concordant breast cancer treatment?

PURPOSE: Disparities in breast cancer survival remain a challenge. We aimed to analyze the effect of structural racism, as measured by the Index of Concentration at the Extremes (ICE), on receipt of National Cancer Center Network (NCCN) guideline-concordant breast cancer treatment. METHODS: We identified patients treated at two institutions from 2005 to 2017 with stage I-IV breast cancer. Census tracts served as neighborhood proxies. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed to create 5 models, controlling for economic segregation, non-Hispanic Black (NHB) segregation, NHB/economic segregation, Hispanic segregation, and Hispanic/economic segregation. Multi-level logistic regression models were used to determine the association between individual and neighborhood-level characteristics on receipt of NCCN guideline-concordant breast cancer treatment. RESULTS: 5173 patients were included: 55.2% were Hispanic, 27.5% were NHW, and 17.3% were NHB. Regardless of economic or residential segregation, a NHB patient was less likely to receive appropriate treatment [(OR)Model1 0.58 (0.45-0.74); ORModel2 0.59 (0.46-0.78); ORModel3 0.62 (0.47-0.81); ORModel4 0.53 (0.40-0.69); ORModel5 0.59(0.46-0.76); p < 0.05]. CONCLUSION: To our knowledge, this is the first analysis assessing receipt of NCCN guideline-concordant treatment by ICE, a validated measure for structural racism. While much literature emphasizes neighborhood-level barriers to treatment, our results demonstrate that compared to NHW patients, NHB patients are less likely to receive NCCN guideline-concordant breast cancer treatment, independent of economic or residential segregation. Our study suggests that there are potential unaccounted individual or neighborhood barriers to receipt of appropriate care that go beyond economic or residential segregation.

The end of court-ordered desegregation and U.S. children's health: Quasi-experimental evidence.

School racial segregation significantly impacts racial disparities in U.S. children's health. Recently, school segregation has been increasing, partially due to Supreme Court decisions since 1991 that have made it easier for school districts to be released from court-ordered desegregation. We investigated the association of the end of court-ordered desegregation with child health using the 1997-2018 waves of the National Health Interview Survey (N=8,182 Black, 16,930 White children). We exploited quasi-random variation in the timing of school districts' releases from court orders to estimate effects on general health, body weight, mental health, and asthma, using difference-in-differences and event-study methods (including traditional and heterogeneity-robust estimators). Heterogeneity-robust difference-in-differences analyses show that release was associated with increased school segregation, improved mental health among Black children, and better self-reported health among White children. For heterogeneity-robust event-study analyses, school segregation increased steadily over time after release, with worse self-reported health and higher risk of asthma episodes among Black children 18+ years after release. Black children's mental health temporarily improved in the short term. In contrast, White children had improved self-reported health, mental health, and risk of asthma episodes in some years. Interventions to address the harms of school segregation are important for reducing racial health inequities.

The impact of historical redlining on neurosurgeon distribution and reimbursement in modern neighborhoods.

Background: This study examines the lasting impact of historical redlining on contemporary neurosurgical care access, highlighting the need for equitable healthcare in historically marginalized communities. Objective: To investigate how redlining affects neurosurgeon distribution and reimbursement in U.S. neighborhoods, analyzing implications for healthcare access. Methods: An observational study was conducted using data from the Center for Medicare and Medicaid Services (CMS) National File, Home Owner's Loan Corporation (HOLC) neighborhood grades, and demographic data to evaluate neurosurgical representation across 91 U.S. cities, categorized by HOLC Grades (A, B, C, D) and gentrification status. Results: Of the 257 neighborhoods, Grade A, B, C, and D neighborhoods comprised 5.40%, 18.80%, 45.8%, and 30.0% of the sample, respectively. Grade A, B, and C neighborhoods had more White and Asian residents and less Black residents compared to Grade D neighborhoods (p < 0.001). HOLC Grade A (OR = 4.37, 95%CI: 2.08, 9.16, p < 0.001), B (OR = 1.99, 95%CI: 1.18, 3.38, p = 0.011), and C (OR = 2.37, 95%CI: 1.57, 3.59, p < 0.001) neighborhoods were associated with a higher representation of neurosurgeons compared to Grade D neighborhoods. Reimbursement disparities were also apparent: neurosurgeons practicing in HOLC Grade D neighborhoods received significantly lower reimbursements than those in Grade A neighborhoods ($109,163.77 vs. $142,999.88, p < 0.001), Grade B neighborhoods ($109,163.77 vs. $131,459.02, p < 0.001), and Grade C neighborhoods ($109,163.77 vs. $129,070.733, p < 0.001). Conclusion: Historical redlining continues to shape access to highly specialized healthcare such as neurosurgery. Efforts to address these disparities must consider historical context and strive to achieve more equitable access to specialized care.

Racialized economic segregation and inequities in treatment initiation and survival among patients with metastatic breast cancer.

PURPOSE: Racialized economic segregation, a form of structural racism, may drive persistent inequities among patients with breast cancer. We examined whether a composite area-level index of racialized economic segregation was associated with real-world treatment and survival in metastatic breast cancer (mBC). METHODS: We conducted a retrospective cohort study among adult women with mBC using a US nationwide electronic health record-derived de-identified database (2011-2022). Population-weighted quintiles of the index of concentration at the extremes were estimated using census tract data. To identify inequities in time to treatment initiation (TTI) and overall survival (OS), we employed Kaplan-Meier methods and estimated hazard ratios (HR) adjusted for clinical factors. RESULTS: The cohort included 27,459 patients. Compared with patients from the most privileged areas, those from the least privileged areas were disproportionately Black (36.9% vs. 2.6%) or Latinx (13.2% vs. 2.6%) and increasingly diagnosed with de novo mBC (33.6% vs. 28.9%). Those from the least privileged areas had longer median TTI than those from the most privileged areas (38 vs 31 days) and shorter median OS (29.7 vs 39.2 months). Multivariable-adjusted HR indicated less timely treatment initiation (HR 0.87, 95% CI 0.83, 0.91, p < 0.01) and worse OS (HR 1.19, 95% CI 1.13, 1.25, p < 0.01) among those from the least privileged areas compared to the most privileged areas. CONCLUSION: Racialized economic segregation is a social determinant of health associated with treatment and survival inequities in mBC. Public investments directly addressing racialized economic segregation and other forms of structural racism are needed to reduce inequities in cancer care and outcomes.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

Born on the wrong side of the tracks: Exploring the causal effects of segregation on infant health.

Prior research has found that a high level of residential racial segregation, or the degree to which racial/ethnic groups are isolated from one another, is associated with worsened infant health outcomes, particularly among non-Hispanic (NH) Black infant populations. However, because exposure to segregation is non-random, it is unclear whether and to what extent segregation is causally linked to infant health. To overcome this empirical limitation, we leverage exogenous variation in the placement of railroad tracks in the 19th century to predict contemporary segregation, an approach first introduced by Ananat (2011). In alignment with prior literature, we find that residential segregation has statistically significant associations with negative birth outcomes among Black infant populations in the area. Using OLS methods underestimates the negative impacts of segregation on infant health. We fail to detect comparable effects on health outcomes among NH White infant populations. Further, we identify several key mechanisms by which residential segregation could influence health outcomes among Black infant populations, including lower access to prenatal care during the first trimester, higher levels of anti-Black prejudice, greater transportation barriers, and increased food insecurity. Given that poor birth outcomes have adverse effects on adults' health and well-being, the findings suggest that in-utero exposure to residential segregation could have important implications for Black-White inequality over the life course.

Trends and structural factors affecting health equity in the United States at the local level, 1990-2019.

Health equity is fundamental to improving the health of populations, but in recent decades progress towards this goal has been mixed. To better support this mission, a deeper understanding of the local heterogeneity within population-level health equity is vital. This analysis presents trends in average health and health equity in the United States at the local level from 1990 to 2019 using three different health outcomes: mortality, self-reported health status, and healthy days. Furthermore, it examines the association between these measures of average health and health equity with several structural factors. Results indicate growing levels of geographic inequality disproportionately impacting less urbanized parts of the country, with rural counties experiencing the largest declines in health equity, followed by Medium and Small Metropolitan counties. Additionally, lower levels of health equity are associated with poorer local socioeconomic context, including several measures that are proxies for structural racism. Altogether, these findings strongly suggest social and economic factors play a pivotal role in explaining growing levels of geographic health inequality in the United States. Policymakers invested in improving health equity must adopt holistic and upstream approaches to improve and equalize economic opportunity as a means of fostering health equity.

Social Determinants of Premature Birth.

Social determinants of health have received increasing attention in public health, leading to increased understanding of how social factors-individual and contextual-shape the health of the mother and infant. However, racial differences in birth outcomes persist, with incomplete explanation for the widening disparity. Here, we highlight the social determinants of preterm birth, with special attention to the social experiences among African American women, which are likely attributed to structural racism and discrimination throughout life.