"Hang Ups, Let Downs, Bad Breaks, Setbacks": Impact of Structural Socioeconomic Racism and Resilience on Cognitive Change Over Time for Persons Racialized as Black.

Introduction: Older adults racialized as Black experience higher rates of dementia than those racialized as White. Structural racism produces socioeconomic challenges, described by artist Marvin Gaye as "hang ups, let downs, bad breaks, setbacks" that likely contribute to dementia disparities. Robust dementia literature suggests socioeconomic factors may also be key resiliencies. Methods: We linked state-level data reflecting the racialized landscape of economic opportunity across the 20th Century from the U.S. Census (1930-2010) with individual-level data on cognitive outcomes from the U.S. Health and Retirement Study participants racialized as Black. A purposive sample of participants born after the Brown v. Board ruling (born 1954-59) were selected who completed the modified Telephone Interview for Cognitive Status between 2010 and 2020 (N=1381). We tested associations of exposure to structural racism and resilience before birth, and during childhood, young-adulthood, and midlife with cognitive trajectories in mid-late life using mixed-effects regression models. Results: Older adults born in places with higher state-level structural socioeconomic racism experienced a more rapid cognitive decline in later life compared to those with lower levels of exposure. In addition, participants born in places with higher levels of state-level structural socioeconomic resilience experienced slower cognitive change over time than their counterparts. Discussion: These findings reveal the impact of racist U.S. policies enacted in the past that influence cognitive health over time and dementia risk later in life.

Instruments for racial health equity: a scoping review of structural racism measurement, 2019-2021.

Progress toward racial health equity cannot be made if we cannot measure its fundamental driver - structural racism. As in other epidemiological studies, the first step is to measure the exposure. But how to measure structural racism is an ongoing debate. To characterize the approaches epidemiologists and other health researchers use to quantitatively measure structural racism, highlight methodological innovations, and identify gaps in the literature, we conducted a scoping review of the peer-reviewed and grey literature published during 2019-2021 to accompany the work of Groos et al. (J Health Dispar Res Pract. 2018;11(2):Article 13), which surveys the scope of structural racism measurement up to 2017. We identified several themes from the recent literature: the current predominant focus on measuring anti-Black racism, using residential segregation as well as other segregation-driven measures as proxies of structural racism, measuring structural racism as spatial exposures, an increasing call by epidemiologists and other health researchers to measure structural racism as a multidimensional, multi-level determinant of health and related innovations, the development of policy databases, the utility of simulated counterfactual approaches in the understanding of how structural racism drive racial health inequities, and the lack of measures of antiracism and limited work on later life effects. Our findings sketch out several future steps to improve the science around structural racism measurements, which is the key to advancing antiracism policies.

The impact of neighborhoods and friendships on interracial anxiety among medical students and residents: A report from the medical student CHANGES study.

OBJECTIVE: To examine the experience of interracial anxiety among health professionals and how it may affect the quality of their interactions with patients from racially marginalized populations. We explored the influence of prior interracial exposure-specifically through childhood neighborhoods, college student bodies, and friend groups-on interracial anxiety among medical students and residents. We also examined whether levels of interracial anxiety change from medical school through residency. DATA SOURCE: Web-based longitudinal survey data from the Medical Student Cognitive Habits and Growth Evaluation Study. STUDY DESIGN: We used a retrospective longitudinal design with four observations for each trainee. The study population consisted of non-Black US medical trainees surveyed in their 1st and 4th years of medical school and 2nd and 3rd years of residency. Mixed effects longitudinal models were used to assess predictors of interracial anxiety and assess changes in interracial anxiety scores over time. PRINCIPAL FINDINGS: In total, 3155 non-Black medical trainees were followed for 7 years. Seventy-eight percent grew up in predominantly White neighborhoods. Living in predominantly White neighborhoods and having less racially diverse friends were associated with higher levels of interracial anxiety among medical trainees. Trainees' interracial anxiety scores did not substantially change over time; interracial anxiety was highest in the 1st year of medical school, lowest in the 4th year, and increased slightly during residency. CONCLUSIONS: Neighborhood and friend group composition had independent effects on interracial anxiety, indicating that premedical racial socialization may affect medical trainees' preparedness to interact effectively with diverse patient populations. Additionally, the lack of substantial change in interracial anxiety throughout medical training suggests the importance of providing curricular tools and structure (e.g., instituting interracial cooperative learning activities) to foster the development of healthy interracial relationships.

US Medical School Admissions Leaders' Experiences With Barriers to and Advancements in Diversity, Equity, and Inclusion.

Importance: Despite decades-long calls for increasing racial and ethnic diversity, the medical profession continues to exclude members of Black or African American, Hispanic or Latinx, and Indigenous groups. Objective: To describe US medical school admissions leaders' experiences with barriers to and advances in diversity, equity, and inclusion. Design, Setting, and Participants: This qualitative study involved key-informant interviews of 39 deans and directors of admission from 37 US allopathic medical schools across the range of student body racial and ethnic composition. Interviews were conducted in person and online from October 16, 2019, to March 27, 2020, and analyzed from October 2019 to March 2021. Main Outcomes and Measures: Participant experiences with barriers to and advances in diversity, equity, and inclusion. Results: Among 39 participants from 37 medical schools, admissions experience ranged from 1 to 40 years. Overall, 56.4% of participants identified as women, 10.3% as Asian American, 25.6% as Black or African American, 5.1% as Hispanic or Latinx, and 61.5% as White (participants could report >1 race and/or ethnicity). Participants characterized diversity broadly, with limited attention to racial injustice. Barriers to advancing racial and ethnic diversity included lack of leadership commitment; pressure from faculty and administrators to overemphasize academic scores and school rankings; and political and social influences, such as donors and alumni. Accreditation requirements, holistic review initiatives, and local policy motivated reforms but may also have inadvertently lowered expectations and accountability. Strategies to overcome challenges included narrative change and revision of school leadership structure, admissions goals, practices, and committee membership. Conclusions and Relevance: In this qualitative study, admissions leaders characterized the ways in which entrenched beliefs, practices, and power structures in medical schools may perpetuate institutional racism, with far-reaching implications for health equity. Participants offered insights on how to remove inequitable structures and implement process changes. Without such action, calls for racial justice will likely remain performative, and racism across health care institutions will continue.

Associations Between State and Local Government Spending and Pregnancy-Related Mortality in the U.S.

INTRODUCTION: There is limited evidence on how government spending is associated with maternal death. This study investigates the associations between state and local government spending on social and healthcare services and pregnancy-related mortality among the total, non-Hispanic Black, Hispanic, and non-Hispanic White populations. METHODS: State-specific total population and race/ethnicity-specific 5-year (2015-2019) pregnancy-related mortality ratios were estimated from annual natality and mortality files provided by the National Center for Health Statistics. Data on state and local government spending and population-level characteristics were obtained from U.S. Census Bureau surveys. Generalized linear Poisson regression models with robust SEs were fitted to estimate adjusted rate ratios and 95% CIs associated with proportions of total spending allocated to social services and healthcare domains, adjusting for state-level covariates. All analyses were completed in 2021-2022. RESULTS: State and local government spending on transportation was associated with 11% lower overall pregnancy-related mortality (adjusted rate ratio=0.89, 95% CI=0.83, 0.96) and 9%-12% lower pregnancy-related mortality among the racial/ethnic groups. Among spending subdomains, expenditures on higher education, highways and roads, and parks and recreation were associated with lower pregnancy-related mortality rates in the total population (adjusted rate ratio=0.90, 95% CI=0.86, 0.94; adjusted rate ratio=0.87, 95% CI=0.81, 0.94; and adjusted rate ratio=0.68, 95% CI=0.49, 0.95, respectively). These results were consistent among the racial/ethnic groups, but patterns of associations with pregnancy-related mortality and other spending subdomains differed notably between racial/ethnic groups. CONCLUSIONS: Investing more in local- and state-targeted spending in social services may decrease the risk for pregnancy-related mortality, particularly among Black women.

Neighborhood Proactive Policing and Racial Inequities in Preterm Birth in New Orleans, 2018‒2019.

Objectives. To measure neighborhood exposure to proactive policing as a manifestation of structural racism and its association with preterm birth. Methods. We linked all birth records in New Orleans, Louisiana (n = 9102), with annual census tract rates of proactive police stops using data from the New Orleans Police Department (2018-2019). We fit multilevel Poisson models predicting preterm birth across quintiles of stop rates, controlling for several individual- and tract-level covariates. Results. Nearly 20% of Black versus 8% of White birthing people lived in neighborhoods with the highest rates of proactive police stops. Fully adjusted models among Black birthing people suggest the prevalence of preterm birth in the neighborhoods with the highest proactive policing rates was 1.41 times that of neighborhoods with the lowest rates (95% confidence interval = 1.04, 1.93), but associations among White birthing people were not statistically significant. Conclusions. Taken together with previous research, high rates of proactive policing likely contribute to Black‒White inequities in reproductive health. Public Health Implications. Proactive policing is widely implemented to deter violence, but alternative strategies without police should be considered to prevent potential adverse health consequences. (Am J Public Health. 2023;113(S1):S21-S28. https://doi.org/10.2105/AJPH.2022.307079).

Predicting the onset of hypertension for workers: does including work characteristics improve risk predictive accuracy?

Despite extensive evidence of work as a key social determinant of hypertension, risk prediction equations incorporating this information are lacking. Such limitations hinder clinicians' ability to tailor patient care and comprehensively address hypertension risk factors. This study examined whether including work characteristics in hypertension risk equations improves their predictive accuracy. Using occupation ratings from the Occupational Information Network database, we measured job demand, job control, and supportiveness of supervisors and coworkers for occupations in the United States economy. We linked these occupation-based measures with the employment status and health data of participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study. We fit logistic regression equations to estimate the probability of hypertension onset in five years among CARDIA participants with and without variables reflecting work characteristics. Based on the Harrell's c- and Hosmer-Lemeshow's goodness-of-fit statistics, we found that our logistic regression models that include work characteristics predict hypertension onset more accurately than those that do not incorporate these variables. We also found that the models that rely on occupation-based measures predict hypertension onset more accurately for White than Black participants, even after accounting for a sample size difference. Including other aspects of work, such as workers' experience in the workplace, and other social determinants of health in risk equations may eliminate this discrepancy. Overall, our study showed that clinicians should examine workers' work-related characteristics to tailor hypertension care plans appropriately.

Race-based medicine in the point-of-care clinical resource UpToDate: A systematic content analysis.

Background: Race-based practices in medical education and clinical care may exacerbate health inequities. Misguided use of race in popular point-of-care clinical decision-making tools like UpToDate® may promote harmful practices of race-based medicine. This article investigates the nature of mentions of Black/African American race in UpToDate®. Methods: We conducted a systematic content analysis of UpToDate® articles mentioning Black or African American race to assess for biological interpretations of racial categories. Following a simple text search for the terms "Black" and "African American" in UpToDate® on January 24 and March 19, 2020, respectively, removal of duplicates yielded an analytical sample of 208 documents. We adopted a deductive coding approach and systematically applied 16 a priori codes to all documents, refining the codebook to achieve a final inter-rater reliability of 0.91. We then developed these codes into two themes: (1) biologization of race and (2) racialized research and practice. Findings: Biologization of race occurred nearly universally across all documents (93.3%), with discussions of inherent physiological differences between racial groups and presentation of epidemiologic disparities without context emerging most frequently. Sixty-eight documents (32.7%) included codes related to racialized biomedical research and clinical practice, including references to racialized patterns of behavior and cultural practices, insufficient data on Black populations, research limiting study to a specific racial group, and race-based clinical practices guidelines. Interpretation: Our findings suggest that UpToDate® articles often inappropriately link Black race to genetics or clinical phenotype-without considering socio-structural variables or the health effects of structural racism-thus perpetuating a false narrative that race is inherently biological. UpToDate® articles may also promote unequal treatment by recommending race-based clinical practices. Such racial essentialism risks exacerbating racialized health inequities. Funding: The study is supported by the Health Policy Research Scholars Program, Robert Wood Johnson Foundation, Medical Scientist Training Program, National Institutes of Health, the National Science Foundation, the JPB Foundation, the Minnesota Population, the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD), and the Center for Antiracism Research for Health Equity at the University of Minnesota.

Multidimensional structural racism predicts birth outcomes for Black and White Minnesotans.

OBJECTIVE: The objective of this study is to determine the linkage between multidimensional structural racism typologies and preterm birth (PTB), low birthweight (LBW), and small-for-gestational-age (SGA) birth among infants of White, US-born Black, and foreign-born Black pregnant people in Minnesota. DATA SOURCES: The measures of structural racism were based on the 2017 American Community Survey 5-year estimates and the 2017 jail incarceration data from the Vera Institute of Justice. Birth outcomes of infants born in 2018 were based on birth records from the Minnesota Department of Health. STUDY DESIGN: We conducted a latent class analysis to identify multidimensional structural racism typologies in 2017 and related these typologies to birth outcomes of pregnant people who gave birth in Minnesota in 2018 using Vermunt's 3-step approach. Racial group-specific age-adjusted risks of PTB, LBW, and SGA by structural racism typologies were estimated. DATA COLLECTION: Study data were from public sources. PRINCIPAL FINDINGS: Our analysis identified three multidimensional structural racism typologies in Minnesota in 2017. These typologies can have high structural racism in some dimensions but low in others. The interactive patterns among various dimensions cannot simply be classified as "high" (i.e., high structural racism in all dimensions), "medium," or "low." The risks of PTB, LBW, and SGA for US-born Black pregnant Minnesotans were always higher than for their White counterparts regardless of the typologies in which they lived during pregnancy. Furthermore, these excess risks among US-born Black pregnant people did not vary significantly across the typologies. We did not find clear patterns when comparing the predicted risks for infants of US- and foreign-born Black pregnant people. CONCLUSION: Multidimensional structural racism increases the risks of adverse birth outcomes for US-born Black Minnesotans. Policy interventions to dismantle structural racism and eliminate birth inequities must be multi-sectoral as changes in one or a few dimensions, but not all, will unlikely reduce birth inequities.

The language of less-lethal weapons.

It has been over 1 year since we observed the policing of the George Floyd protests in the United States [R. R. Hardeman, E. M. Medina, R. W. Boyd, N. Engl. J. Med. 383, 197-199 (2020)]. Multiple injury reports emerged in medical journals, and the scientific community called for law enforcement to discontinue the use of less-lethal weapons [E. A. Kaske et al., N. Engl. J. Med. 384, 774-775 (2021) and K. A. Olson et al., N. Engl. J. Med. 383, 1081-1083 (2020)]. Despite progress in research, policy change has not followed a similar pace. Although the reasoning for this discrepancy is multifactorial, failure to use appropriate language may be one contributing factor to the challenges faced in updating policies and practices. Here, we detail how language has the potential to influence thinking and decision-making, we discuss how the language of less-lethal weapons minimizes harm, and we provide a framework for naming conventions that acknowledges harm.

Occupational Segregation And Hypertension Inequity: The Implication Of The Inverse Hazard Law Among Healthcare Workers.

In the United States (US), Black-particularly Black female-healthcare workers are more likely to hold occupations with high job demand, low job control with limited support from supervisors or coworkers and are more vulnerable to job loss than their white counterparts. These work-related factors increase the risk of hypertension. This study examines the extent to which occupational segregation explains the persistent racial inequity in hypertension in the healthcare workforce and the potential health impact of workforce desegregation policies. We simulated a US healthcare workforce with four occupational classes: health diagnosing professionals (i.e., highest status), health treating professionals, healthcare technicians, and healthcare aides (i.e., lowest status). We simulated occupational segregation by allocating 25-year-old workers to occupational classes with the race- and gender-specific probabilities estimated from the American Community Survey data. Our model used occupational class attributes and workers' health behaviors to predict hypertension over a 40-year career. We tracked the hypertension prevalence and the Black-white prevalence gap among the simulated workers under the staus quo condition (occupational segregation) and the experimental conditions in which occupational segregation was eliminated. We found that the Black-white hypertension prevalence gap became approximately one percentage point smaller in the experimental than in the status quo conditions. These findings suggest that policies designed to desegregate the healthcare workforce may reduce racial health inequities in this population. Our microsimulation may be used in future research to compare various desegregation policies as they may affect workers' health differently. Supplementary Information: The online version contains supplementary material available at 10.1007/s41996-022-00098-5.

Improving The Measurement Of Structural Racism To Achieve Antiracist Health Policy.

Antiracist health policy research requires methodological innovation that creates equity-centered and antiracist solutions to health inequities by centering the complexities and insidiousness of structural racism. The development of effective health policy and health equity interventions requires sound empirical characterization of the nature of structural racism and its impact on public health. However, there is a disconnect between the conceptualization and measurement of structural racism in the public health literature. Given that structural racism is a system of interconnected institutions that operates with a set of racialized rules that maintain White supremacy, how can anyone accurately measure its insidiousness? This article highlights methodological approaches that will move the field forward in its ability to validly measure structural racism for the purposes of achieving health equity. We identify three key areas that require scholarly attention to advance antiracist health policy research: historical context, geographical context, and theory-based novel quantitative and qualitative methods that capture the multifaceted and systemic properties of structural racism as well as other systems of oppression.

Where are the labor markets?: Examining the association between structural racism in labor markets and infant birth weight.

Racist policies and practices that restrict Black, as compared to white workers, from employment may drive racial inequities in birth outcomes among workers. This study examined the association between structural racism in labor markets, measured at a commuting zone where workers live and commute to work, and low-birthweight birth. We found the deleterious effect of structural racism in labor markets among US-born Southern Black pregnant people of working age, but not among African- or Caribbean-born counterparts in any US region. Our analysis highlights the intersections of structural racism, culture, migration, and history of racial oppression that vary across regions and birth outcomes of Black workers.

Developing Tools to Report Racism in Maternal Health for the CDC Maternal Mortality Review Information Application (MMRIA): Findings from the MMRIA Racism & Discrimination Working Group.

PURPOSE: The purpose of this report from the field is to describe the process by which an multidisciplinary workgroup, selected by the CDC Foundation in partnership with maternal health experts, developed a definition of racism that would be specifically appropriate for inclusion on the Maternal Mortality Review Information Application (MMRIA) form. DESCRIPTION: In the United States Black women are nearly 4 times more likely to experience a pregnancy-related death. Recent evidence points to racism as a fundamental cause of this inequity. Furthermore, the CDC reports that 3 of 5 pregnancy related deaths are preventable. With these startling facts in mind, the CDC created the Maternal Mortality Review Information Application (MMRIA) for use by Maternal Mortality Review Committees (MMRC) to support standardized data abstraction, case narrative development, documentation of committee decisions, and analysis on maternal mortality to inform practices and policies for preventing maternal mortality. ASSESSMENT: Charged with the task of defining racism and discrimination as contributors to pregnancy related mortality, the work group established four goals to define their efforts: (1) the desire to create a product that was inclusive of all forms of racism and discrimination experienced by birthing people; (2) an acknowledgement of the legacy of racism in the U.S. and the norms in health care delivery that perpetuate racist ideology; (3) an acknowledgement of the racist narratives surrounding the issue of maternal mortality and morbidity that often leads to victim blaming; and (4) that the product would be user friendly for MMRCs. CONCLUSION: The working group developed three definitions and a list of recommendations for action to help MMRC members provide suggested interventions to adopt when discrimination or racism were contributing factors to a maternal death. The specification of these definitions will allow the systematic tracking of the contribution of racism to maternal mortality through the MMRIA and allow a greater standardization of its identification across participating jurisdictions with MMRCs that use the form.

The Impact of Culturally-Centered Care on Peripartum Experiences of Autonomy and Respect in Community Birth Centers: A Comparative Study.

OBJECTIVE: National studies report that birth center care is associated with reduced racial and ethnic disparities and reduced experiences of mistreatment. In the US, there are very few BIPOC-owned birth centers. This study examines the impact of culturally-centered care delivered at Roots, a Black-owned birth center, on the experience of client autonomy and respect. METHODS: To investigate if there was an association between experiences of autonomy and respect for Roots versus the national Giving Voice to Mothers (GVtM) participants, we applied Wilcoxon rank-sum tests for the overall sample and stratified by race. RESULTS: Among BIPOC clients in the national GVtM sample and the Roots sample, MADM and MORi scores were statistically higher for clients receiving culturally-centered care at Roots (MADM p < 0.001, MORi p = 0.011). No statistical significance was found in scores between BIPOC and white clients at Roots Birth Center, however there was a tighter range among BIPOC individuals receiving care at Roots showing less variance in their experience of care. CONCLUSIONS FOR PRACTICE: Our study confirms previous findings suggesting that giving birth at a community birth center is protective against experiences of discrimination when compared to care in the dominant, hospital-based system. Culturally-centered care might enhance the experience of perinatal care even further, by decreasing variance in BIPOC experience of autonomy and respect. Policies on maternal health care reimbursement should add focus on making community birth sustainable, especially for BIPOC provider-owners offering culturally-centered care.

Stress and Mental Health: A Focus on COVID-19 and Racial Trauma Stress.

In the United States, COVID-19 unfolded alongside profound racial trauma. Drawing on a population representative sample of 20-60 year-olds who were married or cohabiting, the National Couples' Health and Time Study (N =3,642), we examine two specific sources of stress: COVID-19 and racial trauma. We leverage the fully powered samples of respondents with racial/ethnic and sexual minority identities and find that COVID-19 and racial trauma stress were higher among individuals who were not White or heterosexual most likely due to racism, xenophobia, and cis-heterosexism at the individual and structural levels. Both COVID-19 and racial trauma stress were associated with poorer mental health outcomes even after accounting for a rich set of potential mechanistic indicators, including discrimination and social climate. We argue that the inclusion of assessments of stress are critical for understanding health and well-being among individuals impacted by systemic and interpersonal discrimination.

Testing a Self-Affirmation Intervention for Improving the Psychosocial Health of Black and White Medical Students in the US.

Self-affirmation interventions have been shown to mitigate the negative psychological effects of stereotype threat on Black students in secondary and undergraduate education. However, there is currently limited research testing whether Black students in medical schools may also experience the negative influences of stereotype threat. Until now, it has been unclear whether Black (vs. White) students experience a lower sense of belonging in medical school and whether they can benefit from self-affirmation interventions during medical training. With a longitudinal field experiment, we tested (a) whether Black (vs. White) medical students in the US experience decrements in psychological well-being (i.e., fatigue, depression, anxiety), sense of belonging, perceived residency competitiveness, and residency goal stability; and (b) the extent to which a self-affirmation intervention would ameliorate any observed disparities in these outcomes for Black students. With a sample of 234 Black and 182 White medical students across 50 schools in the US, we found that Black students tended to report more fatigue and less belonging than White students; however, the self-affirmation intervention did not significantly influence students' fatigue, depression, anxiety, or belonging. Unexpectedly, Black students in the self-affirmation (vs. control) condition reported lower perceived competitiveness for residency. White students' perceived competitiveness for residency was unaffected by the intervention. Exploratory analyses revealed that Black (vs. White) students were less likely to indicate stable residency goals over time, which may be an indication of threat; however, this racial gap was eliminated with the intervention. We discuss the plausible reasons for these findings and provide recommendations for future work in this area.