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.

The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans.

BACKGROUND: Structural racism is how society maintains and promotes racial hierarchy and discrimination through established and interconnected systems. Structural racism is theorized to promote alcohol and tobacco use, which are risk factors for adverse health and cancer-health outcomes. The current study assesses the association between measures of state-level structural racism and alcohol and tobacco use among a national sample of 1,946 Black Americans. METHODS: An existing composite index of state-level structural racism including five dimensions (subscales; i.e., residential segregation and employment, economic, incarceration, and educational inequities) was merged with individual-level data from a national sample dataset. Hierarchical linear and logistic regression models, accounting for participant clustering at the state level, assessed associations between structural racism and frequency of alcohol use, frequency of binge drinking, smoking status, and smoking frequency. Two models were estimated for each behavioral outcome, one using the composite structural racism index and one modeling dimensions of structural racism in lieu of the composite measure, each controlling for individual-level covariates. RESULTS: Results indicated positive associations between the incarceration dimension of the structural racism index and binge drinking frequency, smoking status, and smoking frequency. An inverse association was detected between the education dimension and smoking status. CONCLUSIONS: Results suggest that state-level structural racism expressed in incarceration disparities, is positively associated with alcohol and tobacco use among Black Americans. IMPACT: Addressing structural racism, particularly in incarceration practices, through multilevel policy and intervention may help to reduce population-wide alcohol and tobacco use behaviors and improve the health outcomes of Black populations.

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods.

Background: Addressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism. Methods: We used California census data from three decennial census spanning 1920-1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated "color or race" at the population level. Results: Surname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60-0.67 across census years), followed by the Indian (0.54-0.61) and Japanese (0.51-0.62) surname lists. Sensitivity was much lower for Korean (0.40-0.45) and Filipino (0.10-0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920-1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup. Discussion: Surname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated "color or race." These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.

Identifying and Mitigating Disparities in Central Line-Associated Bloodstream Infections in Minoritized Racial, Ethnic, and Language Groups.

Importance: Although inequitable care due to racism and bias is well documented in health care, the impact on health care-associated infections is less understood. Objective: To determine whether disparities in first central catheter-associated bloodstream infection (CLABSI) rates existed for pediatric patients of minoritized racial, ethnic, and language groups and to evaluate the outcomes associated with quality improvement initiatives for addressing these disparities. Design, Setting, and Participants: This cohort study retrospectively examined outcomes of 8269 hospitalized patients with central catheters from October 1, 2012, to September 30, 2019, at a freestanding quaternary care children's hospital. Subsequent quality improvement interventions and follow-up were studied, excluding catheter days occurring after the outcome and episodes with catheters of indeterminate age through September 2022. Exposures: Patient self-reported (or parent/guardian-reported) race, ethnicity, and language for care as collected for hospital demographic purposes. Main Outcomes and Measures: Central catheter-associated bloodstream infection events identified by infection prevention surveillance according to National Healthcare Safety Network criteria were reported as events per 1000 central catheter days. Cox proportional hazards regression was used to analyze patient and central catheter characteristics, and interrupted time series was used to analyze quality improvement outcomes. Results: Unadjusted infection rates were higher for Black patients (2.8 per 1000 central catheter days) and patients who spoke a language other than English (LOE; 2.1 per 1000 central catheter days) compared with the overall population (1.5 per 1000 central catheter days). Proportional hazard regression included 225 674 catheter days with 316 infections and represented 8269 patients. A total of 282 patients (3.4%) experienced a CLABSI (mean [IQR] age, 1.34 [0.07-8.83] years; female, 122 [43.3%]; male, 160 [56.7%]; English-speaking, 236 [83.7%]; LOE, 46 [16.3%]; American Indian or Alaska Native, 3 [1.1%]; Asian, 14 [5.0%]; Black, 26 [9.2%]; Hispanic, 61 [21.6%]; Native Hawaiian or Other Pacific Islander, 4 [1.4%]; White, 139 [49.3%]; ≥2 races, 14 [5.0%]; unknown race and ethnicity or refused to answer, 15 [5.3%]). In the adjusted model, a higher hazard ratio (HR) was observed for Black patients (adjusted HR, 1.8; 95% CI, 1.2-2.6; P = .002) and patients who spoke an LOE (adjusted HR, 1.6; 95% CI, 1.1-2.3; P = .01). Following quality improvement interventions, infection rates in both subgroups showed statistically significant level changes (Black patients: -1.77; 95% CI, -3.39 to -0.15; patients speaking an LOE: -1.25; 95% CI, -2.23 to -0.27). Conclusions and Relevance: The study's findings show disparities in CLABSI rates for Black patients and patients who speak an LOE that persisted after adjusting for known risk factors, suggesting that systemic racism and bias may play a role in inequitable hospital care for hospital-acquired infections. Stratifying outcomes to assess for disparities prior to quality improvement efforts may inform targeted interventions to improve equity.

Disparities in Socioeconomic Factors Mediate the Impact of Racial Segregation Among Patients With Hepatopancreaticobiliary Cancer.

BACKGROUND: Structural racism within the U.S. health care system contributes to disparities in oncologic care. This study sought to examine the socioeconomic factors that underlie the impact of racial segregation on hepatopancreaticobiliary (HPB) cancer inequities. METHODS: Both Black and White patients who presented with HPB cancer were identified from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2005-2015) and 2010 Census data. The Index of Dissimilarity (IoD), a validated measure of segregation, was examined relative to cancer stage at diagnosis, surgical resection, and overall mortality. Principal component analysis and structural equation modeling were used to determine the mediating effect of socioeconomic factors. RESULTS: Among 39,063 patients, 86.4 % (n = 33,749) were White and 13.6 % (n = 5314) were Black. Black patients were more likely to reside in segregated areas than White patients (IoD, 0.62 vs. 0.52; p < 0.05). Black patients in highly segregated areas were less likely to present with early-stage disease (relative risk [RR], 0.89; 95 % confidence interval [CI] 0.82-0.95) or undergo surgery for localized disease (RR, 0.81; 95% CI 0.70-0.91), and had greater mortality hazards (hazard ratio 1.12, 95% CI 1.06-1.17) than White patients in low segregation areas (all p < 0.05). Mediation analysis identified poverty, lack of insurance, education level, crowded living conditions, commute time, and supportive income as contributing to 25 % of the disparities in early-stage presentation. Average income, house price, and income mobility explained 17 % of the disparities in surgical resection. Notably, average income, house price, and income mobility mediated 59 % of the effect that racial segregation had on long-term survival. CONCLUSION: Racial segregation, mediated through underlying socioeconomic factors, accounted for marked disparities in access to surgical care and outcomes for patients with HPB cancer.

Beyond "Chilling Effects": Latinx and Asian Immigrants' Experiences With Enforcement and Barriers to Health Care.

OBJECTIVES: Immigration enforcement policies are associated with immigrants' barriers to health care. Current evidence suggests that enforcement creates a "chilling effect" in which immigrants avoid care due to fear of encountering enforcement. Yet, there has been little examination of the impact of immigrants' direct encounters with enforcement on health care access. We examined some of the first population-level data on Asian and Latinx immigrants' encounters with law and immigration enforcement and assessed associations with health care access. METHODS: We analyzed the 2018 and 2019 Research on Immigrant Health and State Policy survey in which Asian and Latinx immigrants in California (n=1681) reported on 7 enforcement experiences (eg, racial profiling and deportation). We examined the associations between measures of individual and cumulative enforcement experiences and the usual sources of care and delay in care. RESULTS: Latinx, compared with Asian respondents, reported the highest levels of enforcement experiences. Almost all individual enforcement experiences were associated with delaying care for both groups. Each additional cumulative experience was associated with a delay in care for both groups (OR=1.30, 95% CI 1.10-1.50). There were no associations with the usual source of care. CONCLUSION: Findings confirm that Latinx immigrants experience high levels of encounters with the enforcement system and highlight new data on Asian immigrants' enforcement encounters. Direct experiences with enforcement have a negative relationship with health care access. Findings have implications for health systems to address the needs of immigrants affected by enforcement and for changes to health and immigration policy to ensure immigrants' access to care.

The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes.

AIMS: While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease. METHODS: We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we controlled for a wide range of potential confounding variables. RESULTS: Our calculations revealed striking geographic differences in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Higher levels of structural racism were significantly associated with greater racial disparities in mortality for all but two of the health outcomes. CONCLUSIONS: There is a robust relationship between structural racism and Black-White disparities in multiple health outcomes across states. Programs and policies to reduce racial heath disparities must include strategies to help dismantle structural racism and its consequences.

Experiences of the Flint Water Crisis Among Reproductive-Age Michigan Women in Communities Outside of Flint: Differences by Race and Ethnicity.

We sought to understand how women in Michigan communities outside of Flint experienced the Flint water crisis, an avoidable public health disaster widely attributed to structural racism. Using survey data from 950 Michigan women aged 18-45 from communities outside of Flint, we examined racial and ethnic differences in personal connections to Flint, perceived knowledge about the water crisis, and beliefs about the role of anti-Black racism in the water crisis factors that could contribute to poor health via increased psychological stress. We found that White (OR = 0.32; 95% CI: 0.22, 0.46) and Hispanic (OR = 0.21; 95% CI: 0.09, 0.49) women had lower odds than Black women of having family or friends who lived in Flint during the water crisis. Compared to Black women, White women were less likely to be moderately or very knowledgeable about the water crisis (OR = 0.58; 95% CI: 0.41, 0.80). White women (OR = 0.26; 95% CI: 0.18, 0.37), Hispanic women (OR = 0.38; 95% CI: 0.21, 0.68), and women of other races (OR = 0.28; 95% CI: 0.15, 0.54) were less likely than Black women to agree that the water crisis happened because government officials wanted to hurt Flint residents. Among those who agreed, White women (OR = 0.47; 95% CI: 0.30, 0.74) and women of other races (OR = 0.33; 95% CI: 0.12, 0.90) were less likely than Black women to agree that government officials wanted to hurt people in Flint because most residents are Black. We conclude that the Flint water crisis was a racialized stressor, with potential implications for the health of reproductive-age Black women.

COVID-19 Vaccine Hesitancy and Experiences of Discrimination Among Black Adults.

Early in the COVID-19 vaccine rollout, Black adults consistently reported more hesitancy than White adults, but few studies have examined variation in hesitancy among Black adults or its associations with racial discrimination. Data were collected from Black Arkansas residents age 18 and older (n = 350) between July 12th and July 30th, 2021, as part of a larger survey of Arkansans (N = 1500). Participants were recruited through random digit dialing of both landline and cell phones, with oversampling of Black and Hispanic residents. Respondents reported COVID-19 vaccine hesitancy, sociodemographic information, influenza vaccination history, pandemic-related experiences, and experiences of racial discrimination. Almost half (48.9%) of Black adults in Arkansas were not hesitant towards COVID-19 vaccines, while the remainder reported some level of hesitancy. Nearly a quarter were very hesitant (22.4%), while fewer reported being somewhat (14.0%) and a little (14.7%) hesitant. Using an ordered logistic regression with partial proportional odds, we find odds of COVID-19 vaccine hesitancy decreased as age and influenza vaccination increased. Odds of COVID-19 vaccine hesitancy were 1.70 times greater for Black adults who experienced the death of a close friend/family member due to COVID-19 and 2.61 times greater for individuals reporting discrimination with police or in the courts. Within-group analysis revealed nearly half of Black adults did not report any COVID-19 vaccine hesitancy and heterogeneity among those who were hesitant. Findings suggest there may be an important link between racial discrimination in the criminal justice system and COVID-19 vaccine hesitancy among Black adults.

Development, construct validity, and measurement invariance of the Modified Classes of Racism Frequency of Racial Experiences Measure (M-CRFRE) to capture direct and indirect exposure to perceived racism-based police use of force for Black emerging adults.

OBJECTIVES: To utilize focus groups, cognitive interviews, content expert panel, and computer-assisted surveys to develop and pilot survey items assessing exposure to perceived racism-based police violence to enhance the Classes of Racism Frequency of Racial Experiences (CRFRE). METHOD: Focus groups and cognitive interviews were conducted with Black emerging adults (n = 44) in St. Louis, Missouri. Utilizing a grounded theory approach, a thematic analysis of the focus group and cognitive interview transcripts was conducted to identify key items to be added to the CRFRE. Three content experts assessed the face and content validity of survey items. Computer-assisted surveys were conducted to pilot the modified CRFRE with a sample of Black emerging adults (n = 300). Confirmatory factor analyses and structural paths were used to examine the construct validity of the modified CRFRE. RESULTS: Participant's qualitative data and suggestions from content experts resulted in the development of 16 additional survey items regarding exposure to perceived racism-based police violence across three domains (victim, witness in person, and seen in media). The modified CRFRE measure showed construct validity, internal reliability, and measurement invariance between men and women. CONCLUSIONS: This study advances our epidemiological methodology for quantifying exposure to perceived racism-based police violence. Future research is necessary to assess the prevalence of exposure to perceived racism-based police violence and associated mental and behavioral outcomes for Black emerging adults in the U.S. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Health System Structure: An Opportunity to Address Structural Racism and Discrimination.

OBJECTIVE: To examine the role of hub-and-spoke systems as a factor in structural racism and discrimination. BACKGROUND: Health systems are often organized in a "hub-and-spoke" manner to centralize complex surgical care to 1 high-volume hospital. Although the surgical health care disparities are well described across health care systems, it is not known how they seem across a single system's hospitals. METHODS: Adult patients who underwent 1 of 10 general surgery operations in 12 geographically diverse states (2016-2018) were identified using the Healthcare Cost and Utilization Project's State Inpatient Databases. System status was assigned using the American Hospital Association dataset. Hub designation was assigned in 2 ways: (1) the hospital performing the most complex operations (general hub) or (2) the hospital performing the most of each specific operation (procedure-specific hub). Independent multivariable logistic regression was used to evaluate the risk-adjusted odds of treatment at hubs by race and ethnicity. RESULTS: We identified 122,236 patients across 133 hospitals in 43 systems. Most patients were White (73.4%), 14.2% were Black, and 12.4% Hispanic. A smaller proportion of Black and Hispanic patient underwent operations at general hubs compared with White patients (B: 59.6% H: 52.0% W: 62.0%, P <0.001). After adjustment, Black and Hispanic patients were less likely to receive care at hub hospitals relative to White patients for common and complex operations (general hub B: odds ratio: 0.88 CI, 0.85, 0.91 H: OR: 0.82 CI, 0.79, 0.85). CONCLUSIONS: When White, Black, and Hispanic patients seek care at hospital systems, Black and Hispanic patients are less likely to receive treatment at hub hospitals. Given the published advantages of high-volume care, this new finding may highlight an opportunity in the pursuit of health equity.

Racial and ethnic disparities in excess mortality among U.S. veterans during the COVID-19 pandemic.

OBJECTIVE: The COVID-19 pandemic disproportionately affected racial and ethnic minorities among the general population in the United States; however, little is known regarding its impact on U.S. military Veterans. In this study, our objectives were to identify the extent to which Veterans experienced increased all-cause mortality during the COVID-19 pandemic, stratified by race and ethnicity. DATA SOURCES: Administrative data from the Veterans Health Administration's Corporate Data Warehouse. STUDY DESIGN: We use pre-pandemic data to estimate mortality risk models using five-fold cross-validation and quasi-Poisson regression. Models were stratified by a combined race-ethnicity variable and included controls for major comorbidities, demographic characteristics, and county fixed effects. DATA COLLECTION: We queried data for all Veterans residing in the 50 states plus Washington D.C. during 2016-2020. Veterans were excluded from analyses if they were missing county of residence or race-ethnicity data. Data were then aggregated to the county-year level and stratified by race-ethnicity. PRINCIPAL FINDINGS: Overall, Veterans' mortality rates were 16% above normal during March-December 2020 which equates to 42,348 excess deaths. However, there was substantial variation by racial and ethnic group. Non-Hispanic White Veterans experienced the smallest relative increase in mortality (17%, 95% CI 11%-24%), while Native American Veterans had the highest increase (40%, 95% CI 17%-73%). Black Veterans (32%, 95% CI 27%-39%) and Hispanic Veterans (26%, 95% CI 17%-36%) had somewhat lower excess mortality, although these changes were significantly higher compared to White Veterans. Disparities were smaller than in the general population. CONCLUSIONS: Minoritized Veterans experienced higher rates excess of mortality during the COVID-19 pandemic compared to White Veterans, though with smaller differences than the general population. This is likely due in part to the long-standing history of structural racism in the United States that has negatively affected the health of minoritized communities via several pathways including health care access, economic, and occupational inequities.

Race, structural racism and racial disparities in firearm homicide victimisation.

OBJECTIVES: To identify an approach in measuring the association between structural racism and racial disparities in firearm homicide victimisation focusing on racism, rather than race. METHODS: We examined associations of six measures of structural racism (Black/white disparity ratios in poverty, education, labour force participation, rental housing, single-parent households and index crime arrests) with state-level Black-white disparities in US age-adjusted firearm homicide victimisation rates 2010-2019. We regressed firearm homicide victimisation disparities on four specifications of independent variables: (1) absolute measure only; (2) absolute measure and per cent Black; (3) absolute measure and Black-white disparity ratio and (4) absolute measure, per cent Black and disparity ratio. RESULTS: For all six measures of structural racism the optimal specification included the absolute measure and Black-white disparity ratio and did not include per cent Black. Coefficients for the Black-white disparity were statistically significant, while per cent Black was not. CONCLUSIONS: In the presence of structural racism measures, the inclusion of per cent Black did not contribute to the explanation of firearm homicide disparities in this study. Findings provide empiric evidence for the preferred use of structural racism measures instead of race.

Remapping racial and ethnic inequities in severe maternal morbidity: The legacy of redlining in California.

BACKGROUND: Historical mortgage redlining, a racially discriminatory policy designed to uphold structural racism, may have played a role in producing the persistently elevated rate of severe maternal morbidity (SMM) among racialised birthing people. OBJECTIVE: This study examined associations between Home-Owner Loan Corporation (HOLC) redlining grades and SMM in a racially and ethnically diverse birth cohort in California. METHODS: We leveraged a population-based cohort of all live hospital births at ≥20 weeks of gestation between 1997 and 2017 in California. SMM was defined as having one of 21 procedures and diagnoses, per an index developed by Centers for Disease Control and Prevention. We characterised census tract-level redlining using HOLC's security maps for eight California cities. We assessed bivariate associations between HOLC grades and participant characteristics. Race and ethnicity-stratified mixed effects logistic regression models assessed the risk of SMM associated with HOLC grades within non-Hispanic Black, Asian/Pacific Islander, American Indian/Alaskan Native and Hispanic groups, adjusting for sociodemographic information, pregnancy-related factors, co-morbidities and neighbourhood deprivation index. RESULTS: The study sample included 2,020,194 births, with 24,579 cases of SMM (1.2%). Living in a census tract that was graded as "Hazardous," compared to census tracts graded "Best" and "Still Desirable," was associated with 1.15 (95% confidence interval [CI] 1.03, 1.29) and 1.17 (95% CI 1.09, 1.25) times the risk of SMM among Black and Hispanic birthing people, respectively, independent of sociodemographic factors. These associations persisted after adjusting for pregnancy-related factors and neighbourhood deprivation index. CONCLUSIONS: Historical redlining, a tool of structural racism that influenced the trajectory of neighbourhood social and material conditions, is associated with increased risk of experiencing SMM among Black and Hispanic birthing people in California. These findings demonstrate that addressing the enduring impact of macro-level and systemic mechanisms that uphold structural racism is a vital step in achieving racial and ethnic equity in birthing people's health.

The Minority Scientists' Experience: Challenging and Overcoming Barriers to Enhancing Diversity and Career Advancement.

Minority groups face barriers in accessing quality health care, professional advancement, and representation in immunology research efforts as a result of institutional racism that if unaddressed can perpetuate a lack of diversity. In 2021, the AAI Minority Affairs Committee convened a cross section of academic and industry scientists from underrepresented groups at various stages of their professions to discuss how best to address the toll racism takes on study design and scientific careers. Panelists drew directly from their own experiences as scientists to share perspectives and strategies for countering a lack of representation in clinical research, responding to microaggressions, navigating academic advancement, and providing effective mentorship. The session reinforced the need for minority scientists to take an active role in advocating for diversity, engaging mentors, and taking responsibility to face rather than avoid institutional obstacles. Overall, increased dialogue and institutional awareness of the experience of scientists from underrepresented groups in research remain the best tools to ensure a health equity mindset and advancement of their careers.

Adolescents' Experiences, Emotions, and Coping Strategies Associated With Exposure to Media-Based Vicarious Racism.

Importance: Adolescents frequently encounter racism vicariously through online news and social media and may experience negative emotional responses due to these exposures. To mitigate potential adverse health impacts, including negative emotional health, it is important to understand how adolescents cope with these exposures. Objectives: To examine adolescents' responses to online and media-based vicarious racism exposure and to explore coping strategies, particularly positive coping strategies, that may be used to combat negative emotions. Design, Setting, and Participants: This qualitative study rooted in phenomenological research methods conducted 4 semistructured focus groups, with 3 to 6 English-speaking adolescents (aged 13-19 years) in each group, between November 2018 and April 2019. Focus groups were facilitated by 2 research team members. The study was conducted at community sites and youth organizations in the greater Chicago, Illinois, area. Interview transcripts were analyzed thematically. Exposures: Lived experiences of media-based vicarious racism. Main Outcomes and Measures: Focus group participants shared their experiences with media-based vicarious racism online, including their responses to exposure and the coping strategies used. Results: Four focus group sessions were conducted with a total of 18 adolescents. Participants had a mean (SD) age of 16.4 (1.6) years. Overall, 7 participants (39%) self-identified as Black/African American, 8 (44%) as Hispanic/Latinx, and 3 (17%) as White individuals; 7 (39%) were in grades 7 to 9, 8 (44%) in grades 10 to 12 grade, and 3 (17%) at the college or university level. Central themes emerged related to adolescents' experiences, including their emotional and coping responses to media-based vicarious racism. Many participants reported helplessness as a major negative emotion associated with these exposures. Activism was endorsed as a key positive coping strategy that participants used, including online and in-person modalities. Conclusions and Relevance: The findings from this qualitative study suggest adolescents may experience helplessness as a primary negative emotion after exposure to media-based vicarious racism and activism may serve as a coping mechanism. Activism may represent an important and constructive means by which adolescents cope with and combat structural racism, mitigate negative emotions, and potentially prevent adverse health effects.

Racial inequity in grant funding from the US National Institutes of Health.

Biomedical science and federal funding for scientific research are not immune to the systemic racism that pervades American society. A groundbreaking analysis of NIH grant success revealed in 2011 that grant applications submitted to the National Institutes of Health in the US by African-American or Black Principal Investigators (PIs) are less likely to be funded than applications submitted by white PIs, and efforts to narrow this funding gap have not been successful. A follow-up study in 2019 showed that this has not changed. Here, we review those original reports, as well as the response of the NIH to these issues, which we argue has been inadequate. We also make recommendations on how the NIH can address racial disparities in grant funding and call on scientists to advocate for equity in federal grant funding.