Structural racism, economic opportunity and racial health disparities: Evidence from U.S. counties

Institutional Context Shapes the Physical Health of College Graduates Differently for U.S. White, Black, and Hispanic Adults

Greater educational attainment is generally associated with healthier and longer lives. However, important heterogeneity in who benefits from educational attainment, how much, and why remains underexplored. In particular, in the United States, the physical health returns to educational attainment are not as large for minoritized racial and ethnic groups compared with individuals racialized as White. Yet, our current understanding of ethnoracial differences in educational health disparities is limited by an almost exclusive focus on the quantity of education attained without sufficient attention to heterogeneity within educational attainment categories, such as different institution types among college graduates. Using biomarker data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we test whether the physical health of college graduates in early adulthood (aged 24-32) varies by institution type and for White, Black, and Hispanic adults. In considering the role of the college context, we conceptualize postsecondary institutions as horizontally stratified and racialized institutional spaces with different implications for the health of their graduates. Finally, we quantify the role of differential attendance at and returns to postsecondary institution type in shaping ethnoracialized health disparities among college graduates in early adulthood.

Community and household-level incarceration and its association with mental health in a racially/ethnically diverse sample of families

This study examines the association between community incarceration rates, household incarceration, and the mental health of parents and children. Participant families had children ages 5-9 (n = 1307) from the African American, Latinx, Hmong, Somali/Ethiopian, Native American, and White communities in the Twin Cities, Minnesota. Linear mixed models were used to estimate associations between parent and child mental health, household incarceration exposure, and census tract race, ethnicity and gender-specific incarceration rates matched to the family's home address and race/ethnicity. Findings indicated that living in census tracts with elevated incarceration rates of men from your same racial or ethnic group was significantly associated with psychological distress in parents and externalizing behaviors in boys, regardless of household exposure to incarceration. The association between incarceration rates and externalizing behaviors was only observed among girls with exposure to household incarceration. Policies that deconstruct pervasive racism in penal systems are needed to improve population mental health.

Delays in Care by Race, Ethnicity, and Gender Before and During the COVID-19 Pandemic Using Cross-Sectional Data From National Institutes of Health's All of Us Research Program

PURPOSE

Delays in receiving medical care are an urgent problem. This study aims to determine whether the odds of, and reasons for, experiencing care delays differ by gender, race-ethnicity, and survey completion before versus during the COVID-19 pandemic.

METHODS

We conducted a cross-sectional analysis of survey data from participants age ≥18 in the National Institutes of Health's All of Us Research Program collected from May 6, 2018, to January 1, 2022. Logistic regressions were performed to assess the association of gender, race-ethnicity, and survey completion date with any of nine reasons for delaying care in the past 12 months.

RESULTS

Of 119,983 participants, 37.8% reported delaying care in the past 12 months. After adjusting for employment status, education, income, marital status, health insurance, and age, women of every race-ethnicity and Black and other race-ethnicity men were more likely than white men to report delays in care: Asian women (odds ratio [OR] 1.23; 95% confidence interval [CI] [1.13, 1.34]), Black men (OR 1.15; 95% CI [1.05, 1.25]) and women (OR 1.46; 95% CI [1.38, 1.54]), Hispanic women (OR 1.36; 95% CI [1.28, 1.44]), white women (OR 1.55; 95% CI [1.50, 1.60]), and other race-ethnicity men (OR 1.15; 95% CI [1.05, 1.27]) and women (OR 1.79; 95% CI [1.67, 1.91]). A small but statistically significant difference was seen in reports of care delays for non-pandemic-related reasons during versus before the COVID-19 pandemic (OR 0.88; 95% CI [0.83, 0.93]).

CONCLUSIONS

In this study of diverse U.S. participants, women and Black and other race-ethnicity men were more likely than white men to report delays in care, both before and during COVID-19. Addressing care delays may be necessary to ameliorate health disparities by race-ethnicity and gender.

Structural Discrimination against and Structural Support for Lesbian, Gay, and Bisexual People as a Predictor of Late HIV Diagnoses among Black Men who Have Sex with Men

Black men who have sex with men (MSM) have been consistently reported to have the highest estimated HIV incidence and prevalence among MSM. Despite broad theoretical understanding that discrimination is a major social and structural determinant that contributes to disparate HIV outcomes among Black MSM, relatively little extant research has empirically examined structural discrimination against sexual minorities as a predictor of HIV outcomes among this population. The present study therefore examines whether variation in policies that explicitly discriminate against lesbian, gay, and bisexual (LGB) people and variation in policies that explicitly protect LGB people differentially predict metropolitan statistical-area-level variation in late HIV diagnoses among Black MSM over time, from 2008 to 2014. HIV surveillance data on late HIV diagnoses among Black MSM in each of the 95 largest metropolitan statistical areas in the United States, from 2008 to 2014, were used along with data on time-varying state-level policies pertaining to the rights of LGB people. Results from multilevel models found a negative relationship between protective/supportive laws and late HIV diagnoses among Black MSM, and a positive relationship between discriminative laws and late HIV diagnoses among Black MSM. These findings illuminate the potential epidemiological importance of policies pertaining to LGB populations as structural determinants of HIV outcomes among Black MSM. They suggest a need for scrutiny and elimination of discriminatory policies, where such policies are currently in place, and for advocacy for policies that explicitly protect the rights of LGB people where they do not currently exist.

Linked emergence of racial disparities in mental health and epigenetic biological aging across childhood and adolescence

Marginalization due to structural racism may confer an increased risk for aging-related diseases - in part - via effects on people's mental health. Here we leverage a prospective birth cohort study to examine whether the emergence of racial disparities in mental health and DNA-methylation measures of biological aging (i.e., DunedinPACE, GrimAge Acceleration, PhenoAge Acceleration) are linked across childhood and adolescence. We further consider to what extent racial disparities are statistically accounted for by perinatal and postnatal factors in preregistered analyses of N=4,898 participants from the Future of Families & Child Wellbeing Study, of which N=2,039 had repeated saliva DNA methylation at ages 9 and 15 years. We find that racially marginalized children had higher levels of externalizing and internalizing behaviors and diverging longitudinal internalizing slopes. Black compared to White identifying children, children living in more racially segregated neighborhoods, and racially marginalized children more affected by colorism tended to have higher age-9 levels of biological aging and more biological age acceleration over adolescence. Notably, longitudinal increases in internalizing and externalizing behavior were correlated with longitudinal increases in biological aging. While racial and ethnic disparities in mental health were largely statistically accounted for by socioeconomic variables, racial differences in biological aging were often still visible beyond covariate controls. Our findings indicate that racial disparities in mental health and biological aging are linked and emerge early in life. Programs promoting racial health equity must address the psychological and physical impacts of structural racism in children. Comprehensive measures of racism are lacking in current population cohorts.

Racial Disparities in Occupational Distribution Among Black and White Adults with Similar Educational Levels: Analysis of Middle-Aged and Older Individuals in the Health and Retirement Study

Background

Occupational classes play a significant role in influencing both individual and population health, serving as a vital conduit through which higher education can lead to better health outcomes. However, the pathway from education to corresponding occupational classes does not apply uniformly across different racial and ethnic groups, hindered by factors such as social stratification, labor market discrimination, and job segregation.

Aims

This study seeks to investigate the relationship between educational attainment and occupational classes among Black, Latino, and White middle-aged and older adults, with a focus on their transition into retirement.

Methods

Using cross-sectional data from the Health and Retirement Study (HRS), this research examines the impact of race/ethnicity, educational attainment, occupational classes, and timing of retirement among middle-aged and older adults. The analysis includes a sample of 7,096 individuals identified as White, Black, or Latino. Through logistic regression, we assess the additive and multiplicative effects of race/ethnicity and education on six defined occupational classes: 1. Managerial and specialty operations, 2. Professional Specialty, 3. Sales, 4. Clerical/administrative support, 5. Services, and 6. Manual labor.

Results

Participants were Black (n = 1,143) or White (n =5,953). This included Latino (N =459) or non-Latino (n = 6,634). Our analysis reveals a skewed distribution of Black and Latino adults in manual and service occupations, in stark contrast to White adults who were more commonly found in clerical/administrative and managerial positions. Educational attainment did not equate to similar occupational outcomes across racial groups. Key findings include: Firstly, Black individuals with a college degree or higher were less likely to occupy clerical and administrative positions compared to their White counterparts. Secondly, holding a General Educational Development (GED) credential or some college education was generally linked to reduced likelihood of being in managerial roles; however, this inverse relationship was less evident among Black middle-aged and older adults than White ones. Thirdly, having a GED reduced the chances of working in sales roles, while having a college degree increased such chances. An interaction between race and some college education revealed that the impact of some college education on sales roles was more significant for Black adults than for White ones. We did not observe any interaction between ethnicity (Latino) and educational attainment on occupational classes. Given the stability of occupational classes, these findings could also apply to the last occupation held prior to retirement.

Conclusion

This study highlights significant racial disparities in occupational classes among individuals with comparable levels of education, underscoring the profound implications for health and wellbeing disparities. Future research should explore strategies to alleviate labor market discrimination and job segregation as ways to close these occupational gaps. Additionally, the influence of social stratification, job segregation, and historical legacies, such as the repercussions of the Jim Crow era, on these disparities merits further investigation. Addressing these issues is crucial for enhancing the health and wellbeing of all populations.

Structural Racism and Health Stratification: Connecting Theory to Measurement

Less than 1% of studies on racialized health inequities have empirically examined their root cause: structural racism. Moreover, there has been a disconnect between the conceptualization and measurement of structural racism. This study advances the field by (1) distilling central tenets of theories of structural racism to inform measurement approaches, (2) conceptualizing U.S. states as racializing institutional actors shaping health, (3) developing a novel latent measure of structural racism in states, (4) using multilevel models to quantify the association between structural racism and five individual-level health outcomes among respondents from the Health and Retirement Study (N = 9,020) and the Behavioral Risk Factor Surveillance System (N = 308,029), and (5) making our measure of structural racism publicly available to catalyze research. Results show that structural racism is consistently associated with worse health for Black people but not White people. We conclude by highlighting this study's contributions (theoretical, methodological, and substantive) and important avenues for future research on the topic.

Making cities mental health friendly for adolescents and young adults

Urban life shapes the mental health of city dwellers, and although cities provide access to health, education and economic gain, urban environments are often detrimental to mental health1,2. Increasing urbanization over the next three decades will be accompanied by a growing population of children and adolescents living in cities3. Shaping the aspects of urban life that influence youth mental health could have an enormous impact on adolescent well-being and adult trajectories4. We invited a multidisciplinary, global group of researchers, practitioners, advocates and young people to complete sequential surveys to identify and prioritize the characteristics of a mental health-friendly city for young people. Here we show a set of ranked characteristic statements, grouped by personal, interpersonal, community, organizational, policy and environmental domains of intervention. Life skills for personal development, valuing and accepting young people's ideas and choices, providing safe public space for social connection, employment and job security, centring youth input in urban planning and design, and addressing adverse social determinants were priorities by domain. We report the adversities that COVID-19 generated and link relevant actions to these data. Our findings highlight the need for intersectoral, multilevel intervention and for inclusive, equitable, participatory design of cities that support youth mental health.

Upward Mobility Context and Health Outcomes and Behaviors during Transition to Adulthood: The Intersectionality of Race and Sex

This study investigates how upward mobility context affects health during transition to adulthood and its variations by race and sex. Using county-level upward mobility measures and data from the Panel Study of Income Dynamics, we apply propensity score weighting techniques to examine these relationships. Results show that low upward mobility context increases the likelihood of poor self-rated health, obesity, and cigarette use but decreases alcohol consumption probability. Conversely, high upward mobility context raises the likelihood of distress, chronic conditions, and alcohol use but reduces cigarette use likelihood. In low-opportunity settings, Black individuals have lower risks of chronic conditions and cigarette use than White men. In high-opportunity settings, Black women are more likely to experience depression and chronic conditions, and Black men are likelier to smoke than White men. Our findings emphasize the complex link between upward mobility context and health for different racial and sex groups.

Ethico-racial positioning in campaigns for COVID-19 research and vaccination featuring public figures

This article analyses a set of videos which featured public figures encouraging racially minoritised people in the UK to take the COVID-19 vaccine or get involved in related research. As racially targeted health communication has both potentially beneficial and problematic consequences, it is important to examine this uniquely high-profile case. Using a purposive sample of 10 videos, our thematic content analysis aimed to reveal how racially minoritised people were represented and the types of concerns about the vaccine that were expressed. We found representations of racialised difference that centred on 'community' and invoked shared social experiences. The expressed concerns centred on whether ethnic difference was accounted for in the vaccine's design and development, plus the overarching issue of trust. Our analysis adopts and develops the concept of 'racialisation'; we explore how 'mutuality' underpinned normative calls to action ('ethico-racial imperatives') and how the videos 'responsibilised' racially minoritised people. We discuss two points of tension in this case: the limitations for addressing the causes of mistrust and the risks of reductivism that accompanied the ambiguous notion of community. Our analysis develops scholarship on racialisation in health contexts and provides public health practitioners with insights into the socio-political considerations of racially targeted communications.

Inequality by Skin Color in Breast Cancer Screening in Brazil: a Differences-in-Differences Analysis of the COVID-19 Pandemic

Breast cancer is the second most common cancer type and the first in mortality among Brazilian women. Mammograms are one of the main early diagnosis strategies. National breast cancer screening coverage is still low. Brazil's low screening coverage is due to high mammography access inequality. Skin color defines healthcare access differences. Our article explores the natural event of the COVID-19 pandemic to analyze differences in screening rates between two racial groups of women through the application of the differences in differences (DiD) estimator. The results indicate that BBI women (Black, Brown, and Indigenous Brazilian) have lower screening rates than WY women (White and Yellow) and that the pandemic reduced the difference between these two groups due to the lower number of mammograms performed by WY women. It is believed that the information channel can explain much of this result. The BA population, wealthier and more educated, may have had additional information about COVID-19 and its consequences, as well as an increased likelihood of working remotely and practicing social distance. Structural racism causes many social indicators to be correlated with inequality of access to mammography and negatively impacts health conditions for BBI women. Public policies are necessary for equal access to breast cancer screening for the most vulnerable women.

Measuring Structural Racism and Its Association with Racial Disparities in Firearm Homicide

INTRODUCTION

Structural racism is strongly related to racial health disparities. However, surprisingly few studies have developed empirical tools to measure structural racism. In addition, the few measures that have been employed have only considered structural racism at the neighborhood level. To expand upon previous studies, this paper uses a novel measure to measure structural racism at the county level for the non-Hispanic Black population.

METHODS

We used confirmatory factor analysis to create a model to measure the latent construct of structural racism for 1181 US counties. The model included five indicators across five dimensions: racial segregation, incarceration, educational attainment, employment, and economic status/wealth. Structural equation modeling and factor analysis were used to generate factor scores that weighted the indicators in order to produce the best model fit. The resulting factor scores represented the level of structural racism in each county. We demonstrated the utility of this measure by demonstrating its strong correlation with Black-White disparities in firearm homicide rates.

RESULTS

Our calculations revealed striking geographic differences across counties in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Structural racism was significantly associated with higher Black firearm homicide rates, lower White homicide rates, and a higher Black-White racial disparity in firearm homicide.

CONCLUSIONS

These new measures can be utilized by researchers to relate structural racism to racial health disparities at the county level.

Racial differences in low value care among older adult Medicare patients in US health systems: retrospective cohort study

OBJECTIVE

To characterize racial differences in receipt of low value care (services that provide little to no benefit yet have potential for harm) among older Medicare beneficiaries overall and within health systems in the United States.

DESIGN

Retrospective cohort study SETTING: 100% Medicare fee-for-service administrative data (2016-18).

PARTICIPANTS

Black and White Medicare patients aged 65 or older as of 2016 and attributed to 595 health systems in the United States.

MAIN OUTCOME MEASURES

Receipt of 40 low value services among Black and White patients, with and without adjustment for patient age, sex, and previous healthcare use. Additional models included health system fixed effects to assess racial differences within health systems and separately, racial composition of the health system's population to assess the relative contributions of individual patient race and health system racial composition to low value care receipt.

RESULTS

The cohort included 9 833 304 patients (6.8% Black; 57.9% female). Of 40 low value services examined, Black patients had higher adjusted receipt of nine services and lower receipt of 20 services than White patients. Specifically, Black patients were more likely to receive low value acute diagnostic tests, including imaging for uncomplicated headache (6.9% v 3.2%) and head computed tomography scans for dizziness (3.1% v 1.9%). White patients had higher rates of low value screening tests and treatments, including preoperative laboratory tests (10.3% v 6.5%), prostate specific antigen tests (31.0% v 25.7%), and antibiotics for upper respiratory infections (36.6% v 32.7%; all P<0.001). Secondary analyses showed that these differences persisted within given health systems and were not explained by Black and White patients receiving care from different systems.

CONCLUSIONS

Black patients were more likely to receive low value acute diagnostic tests and White patients were more likely to receive low value screening tests and treatments. Differences were generally small and were largely due to differential care within health systems. These patterns suggest potential individual, interpersonal, and structural factors that researchers, policy makers, and health system leaders might investigate and address to improve care quality and equity.

Learning Clinical Judgments With a Lens of Inclusivity

ABSTRACT

To prepare practice-ready graduates and promote NCLEX® success, many schools of nursing have adopted a clinical judgment model (CJM) to provide a framework for their curriculum and teaching strategies. Missing from most CJMs are clear principles of justice, equity, diversity, and inclusion (JEDI), imperative to prepare a nursing workforce to care holistically for diverse populations. This article describes the curriculum integration of an adapted model with added JEDI principles. By intentionally integrating the language and understanding of a CJM with JEDI principles, nurse educators can promote the clinical judgment development necessary to prepare graduates to care for diverse populations.

Using measures of race to make clinical predictions: Decision making, patient health, and fairness

The use of race measures in clinical prediction models is contentious. We seek to inform the discourse by evaluating the inclusion of race in probabilistic predictions of illness that support clinical decision making. Adopting a static utilitarian framework to formalize social welfare, we show that patients of all races benefit when clinical decisions are jointly guided by patient race and other observable covariates. Similar conclusions emerge when the model is extended to a two-period setting where prevention activities target systemic drivers of disease. We also discuss non-utilitarian concepts that have been proposed to guide allocation of health care resources.

Factors Associated With In-Hospital Death Among Pneumonia Patients in US Hospitals From 2016~2019

BACKGROUND

Pneumonia is one of the leading causes of hospital admission in the United States with a global health burden of about 6.8 million hospitalizations and 1.1 million deaths in patients over 65 years old in 2015. This study aimed to identify possible patient and hospital-related risk factors for in-hospital pneumonia death across US hospitals.

METHODS

The National Inpatient Sample (NIS) was used to identify nationwide pneumonia patients (n=374 766, weighted n=1 873 828) from 2016 to 2019. We examined the characteristics of the study sample and their association with in-hospital death. Multivariate survey logistic regression models were used to identify risk factors.

RESULTS

During the study periods, in-hospital death rates continuously decreased (2.45% in 2016 to 2.19% in 2019). Descriptive statistics showed that patient and hospital factors had varied in-hospital death rates. Survey logistic regression results suggested that male, very low income, non-Medicare, government hospitals, rural hospitals, and specific hospital regions were associated with higher in-hospital death rates than their reference groups.

CONCLUSION

Socioeconomic factors, including income and insurance, are associated with pneumonia mortality. Census region, hospital ownership, and rural location are also related to in-hospital mortality. Such findings in underserved, impoverished, and rural areas to identify possible health disparities.

The Future of Social Determinants of Health: Looking Upstream to Structural Drivers

Policy Points Policies that redress oppressive social, economic, and political conditions are essential for improving population health and achieving health equity. Efforts to remedy structural oppression and its deleterious effects should account for its multilevel, multifaceted, interconnected, systemic, and intersectional nature. The U.S. Department of Health and Human Services should facilitate the creation and maintenance of a national publicly available, user-friendly data infrastructure on contextual measures of structural oppression. Publicly funded research on social determinants of health should be mandated to (a) analyze health inequities in relation to relevant data on structural conditions and (b) deposit the data in the publicly available data repository.

Demographic Disparities in the Federal Drug Approval Process for Allergic Rhinitis Medications

OBJECTIVE

Demographic minorities are underrepresented in clinical trials. For the approval of new drug applications (NDAs), the Food and Drug Administration (FDA) has asserted that clinical trial enrollment should represent the demographics of patients likely to receive the trial drug. The aim of this study is to assess the demographics of clinical trials included in NDAs and biologics license applications (BLAs) approved by the FDA since 1990 for allergic rhinitis (AR), a condition whose demographic prevalence mirrors the US population.

METHODS

Federal Freedom of Information Act requests were submitted to the US government to obtain documents related to all relevant NDAs and BLAs. The Drugs@FDA database was queried for all clinical trial documentation. Demographic data were extracted from clinical trials used to inform FDA approval for AR pharmacotherapies. Demographics were analyzed relative to national US Census data.

RESULTS

Since 1990, 22 drugs have been approved for AR. The racial, ethnic, and sex composition of all included study populations differed significantly (p < 0.05) from the demographics of AR and from US Census data. Most NDAs and BLAs included overrepresentation of White participants and underrepresentation of Black, Asian, Pacific Island, Native American, and Hispanic participants.

CONCLUSION

The patients enrolled in clinical trials used to inform FDA approval for AR pharmacotherapeutics do not represent the demographics of the United States or the demographics of AR. The clinical significance of unrepresentative demography between study and treatment populations has been examined for several medical disorders, but has not been studied for AR.

LEVEL OF EVIDENCE

4 Laryngoscope, 133:755-763, 2023.

Association of County-level Upward Economic Mobility with Stage at Diagnosis and Receipt of Treatment Among Patients Diagnosed with Pancreatic Adenocarcinoma

OBJECTIVE

Determining the impact of county-level upward economic mobility on stage at diagnosis and receipt of treatment among Medicare beneficiaries with pancreatic adenocarcinoma.

SUMMARY BACKGROUND DATA

The extent to which economic mobility contributes to socioeconomic disparities in health outcomes remains largely unknown.

METHODS

Pancreatic adenocarcinoma patients diagnosed in 2004-2015 were identified from the SEER-Medicare linked database. Information on countylevel upward economic mobility was obtained from the Opportunity Atlas. Its impact on early-stage diagnosis (stage I or II), as well as receipt of chemotherapy or surgery was analyzed, stratified by patient race/ethnicity.

RESULTS

Among 25,233 patients with pancreatic adenocarcinoma, 37.1% (n = 9349) were diagnosed at an early stage; only 16.7% (n = 4218) underwent resection, whereas 31.7% (n = 7996) received chemotherapy. In turn, 10,073 (39.9%) patients received any treatment. Individuals from counties with high upward economic mobility were more likely to be diagnosed at an earlier stage (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.07-1.25), as well as to receive surgery (OR 1.58, 95% CI 1.41-1.77) or chemotherapy (OR 1.51, 95% CI 1.39-1.63). White patients and patients who identified as neither White or Black had increased odds of being diagnosed at an early stage (OR 1.12, 95% CI 1.02-1.22 and OR 1.35, 95% CI 1.02-1.80, respectively) and of receiving treatment (OR 1.73, 95% CI 1.59-1.88 and OR 1.49, 95% CI 1.13-1.98, respectively) when they resided in a county of high vs low upward economic mobility. The impact of economic mobility on stage at diagnosis and receipt of treatment was much less pronounced among Black patients (high vs low, OR 1.28, 95% CI 0.96-1.71 and OR 1.30, 95% CI 0.99-1.72, respectively).

CONCLUSIONS

Pancreatic adenocarcinoma patients from higher upward mobility areas were more likely to be diagnosed at an earlier stage, as well as to receive surgery or chemotherapy. The impact of county-level upward mobility was less pronounced among Black patients.

"If you're in a community together, then you're basically a family": Perceptions of community among a predominantly African-American/Black youth cohort in a semi-rural region in the Southeastern United States

Geographic racism gives rise to health inequities that impact communities in detrimental ways. Southern ethnic minority groups, particularly African American/Black semi-rural communities, are subject to especially unjust outcomes in health, education, and wealth. Asset-based community development (ABCD) is a way of engaging with communities in participatory and positive ways that center community voices as expert. Youth can participate in ABCD, are sensitive to the ways in which their communities are structured, and have insights as to how to improve the places they live. We undertook a qualitative interview study which included a cognitive mapping exercise with 28 youth to understand how African American/Black youth who had participated in an ABCD-informed summer program conceptualized community and preferences about where they lived. Using a phenomenological approach to qualitative analysis, our study revealed that many youth defined community as a combination of people and place, enjoyed engaging with unique resources in their communities as well as seeking peace and quiet, experienced hardships as "something everybody knows" when observing constraints on their communities, and were committed to their communities and interested in seeing-and participating in-their flourishing. Our study provides a nuanced and contemporary understanding of the ways in which African American/Black semi-rural youth experience community which can contribute to cyclical asset-based development strategy aimed at empowering young people and improving health outcomes in resilient communities.

Structural racism theory, measurement, and methods: A scoping review

Introduction

Epidemiologic and public health interest in structural racism has grown dramatically, producing both increasingly sophisticated questions, methods, and findings, coupled with concerns of atheoretical and ahistorical approaches that often leave the actual production of health or disease ambiguous. This trajectory raises concerns as investigators adopt the term "structural racism" without engaging with theories and scholars with a long history in this area. This scoping review aims to build upon recent work by identifying current themes about the incorporation of structural racism into (social) epidemiologic research and practice with respect to theory, measurement, and practices and methods for trainees and public health researchers who are not already deeply grounded in this work.

Methods

This review uses methodological framework and includes peer-review articles written in English published between January 2000-August 2022.

Results

A search of Google Scholar, manual collection, and referenced lists identified a total of 235 articles; 138 met the inclusion criteria after duplicates were removed. Results were extracted by, and organized into, three broad sections: theory, construct measurement, and study practice and methods, with several themes summarized in each section.

Discussion

This review concludes with a summary of recommendations derived from our scoping review and a call to action echoing previous literature to resist an uncritical and superficial adoption of "structural racism" without attention to already existing scholarship and recommendations put forth by experts in the field.

Racial differences in sympathetic nervous system indicators: Implications and challenges for research

Growing evidence indicates the presence of racial differences in sympathetic nervous system (SNS) functioning, yet the nature of these differences is unclear and appears to vary across different indices of SNS activity. Moreover, racial differences among commonly used indices of SNS activity are under-investigated. This systematic review examines racial differences among widely used resting SNS indices, such as electrodermal activity (EDA), pre-ejection period (PEP), and salivary alpha-amylase (sAA). Our review reveals that Black participants have consistently been found to display lower resting EDA compared to White participants. The few studies that have investigated or reported racial differences in PEP and sAA yield mixed findings about whether racial differences exist. We discuss potential reasons for racial differences in SNS activity, such as index-specific factors, lab confounds, psychosocial environmental factors, and their interactions. We outline a framework characterizing possible contributors to racial differences in SNS functioning. Lastly, we highlight the implications of several definitional, analytic, and interpretive issues concerning the treatment of group differences in psychophysiological activity and provide future recommendations.

Student loans, physical and mental health, and health care use and delay in college

Objective: Determine relationships between college students' student loan presence and self-rated physical and mental health, major medical problems, mental health conditions, physical, dental, and mental health care visits and delays, and medication use and reductions. Participants: A total of 3,248 undergraduates at two regional public U.S. universities, surveyed Spring 2017. Methods: OLS and Logistic regression. Results: Loan presence was related to significantly worse self-rated physical and mental health and more major medical problems, but not to mental health conditions, or physical or mental health medication use. Respondents with loans were less likely to visit the dentist and more likely to report delaying medical, dental, and mental health care, and reducing medication use to save money. Conclusions: Results provide evidence of health and health care use divides among college students by loan presence.

Racism, xenophobia, and discrimination: mapping pathways to health outcomes

Despite being globally pervasive, racism, xenophobia, and discrimination are not universally recognised determinants of health. We challenge widespread beliefs related to the inevitability of increased mortality and morbidity associated with particular ethnicities and minoritised groups. In refuting that racial categories have a genetic basis and acknowledging that socioeconomic factors offer incomplete explanations in understanding these health disparities, we examine the pathways by which discrimination based on caste, ethnicity, Indigeneity, migratory status, race, religion, and skin colour affect health. Discrimination based on these categories, although having many unique historical and cultural contexts, operates in the same way, with overlapping pathways and health effects. We synthesise how such discrimination affects health systems, spatial determination, and communities, and how these processes manifest at the individual level, across the life course, and intergenerationally. We explore how individuals respond to and internalise these complex mechanisms psychologically, behaviourally, and physiologically. The evidence shows that racism, xenophobia, and discrimination affect a range of health outcomes across all ages around the world, and remain embedded within the universal challenges we face, from COVID-19 to the climate emergency.

Enhancing the Utility of the Health and Retirement Study (HRS) to Identify Drivers of Rising Mortality Rates in the United States

A recent report from the National Academies of Sciences, Engineering, and Medicine (NASEM) highlights rising rates of working-age mortality in the United States, portending troubling population health trends for this group as they age. The Health and Retirement Study (HRS) is an invaluable resource for researchers studying health and aging dynamics among Americans ages 50 and above and has strong potential to be used by researchers to provide insights about the drivers of rising U.S. mortality rates. This paper assesses the strengths and limitations of HRS data for identifying drivers of rising mortality rates in the U.S. and provides recommendations to enhance the utility of the HRS in this regard. Among our many recommendations, we encourage the HRS to prioritize the following: link cause of death information to respondents; reduce the age of eligibility for inclusion in the sample; increase the rural sample size; enhance the existing HRS Contextual Data Resource by incorporating longitudinal measures of structural determinants of health; develop additional data linkages to capture residential settings and characteristics across the life course; and add measures that capture drug use, gun ownership, and social media use.

"Outside the Skin": The Persistence of Black-White Disparities in U.S. Early-Life Mortality

Research on Black-White disparities in mortality emphasizes the cumulative pathways through which racism gets "under the skin" to affect health. Yet this framing is less applicable in early life, when death is primarily attributable to external causes rather than cumulative, biological processes. We use mortality data from the National Vital Statistics System Multiple Cause of Death files and population counts from the Surveillance, Epidemiology, and End Result Program to analyze 705,801 deaths among Black and White males and females, ages 15-24. We estimate age-standardized death rates and single-decrement life tables to show how all-cause and cause-specific mortality changed from 1990 to 2016 by race and sex. Despite overall declines in early-life mortality, Black-White disparities remain unchanged across several causes-especially homicide, for which mortality is nearly 20 times as high among Black as among White males. Suicide and drug-related deaths are higher among White youth during this period, yet their impact on life expectancy at birth is less than half that of homicide among Black youth. Critically, early-life disparities are driven by preventable causes of death whose impact occurs "outside the skin," reflecting racial differences in social exposures and experiences that prove harmful for both Black and White adolescents and young adults.

Structural racism and adverse maternal health outcomes: A systematic review

In the United States, racial disparities in adverse maternal health outcomes remain a pressing issue, with Black women experiencing a 3-4 times higher risk of maternal mortality and a 2-3 times higher risk of severe maternal morbidity. Despite recent encouraging efforts, fundamental determinants of these alarming inequities (e.g. structural racism) remain understudied. Approaches that address these structural drivers are needed to then intervene upon root causes of adverse maternal outcomes and their disparities and to ultimately improve maternal health across the U.S. In this paper, we offer a conceptual framework for studies of structural racism and maternal health disparities and systematically synthesize the current empirical epidemiologic literature on the links between structural racism measures and adverse maternal health outcomes. For the systematic review, we searched electronic databases (Pubmed, Web of Science, and EMBASE) to identify peer-reviewed U.S. based quantitative articles published between 1990 and 2021 that assessed the link between measures of structural racism and indicators of maternal morbidity/mortality. Our search yielded 2394 studies and after removing duplicates, 1408 were included in the title and abstract screening, of which 18 were included in the full text screening. Only 6 studies met all the specified inclusion criteria for this review. Results revealed that depending on population sub-group analyzed, measures used, and covariates considered, there was evidence that structural racism may increase the risk of adverse maternal health outcomes. This review also highlighted several areas for methodological and theoretical development in this body of work. Future work should more comprehensively assess structural racism in a way that informs policy and interventions, which can ameliorate its negative consequences on racial/ethnic disparities in maternal morbidity/mortality.

Trends in Measures of Child and Adolescent Well-being in the US From 2000 to 2019

Importance

Improving child and adolescent well-being is a critical public health goal, yet monitoring of this measure at the national level remains limited. Composite indices aggregate existing indicators from population data sources, but these indices currently have weaknesses that may inhibit widespread use.

Objective

To apply a novel, more child-centric index method to document changes in overall child and adolescent well-being in the US from 2000 to 2019, assess which states and racial and ethnic subpopulations experienced the greatest inequities in well-being, and identify the specific components associated with changes in the index over time.

Design, Setting, and Participants

This cross-sectional study applied the Child and Adolescent Thriving Index 1.0 to population-level data from 2000 to 2019 from several data sources. The area-based sampling frame for each of the component data sources allowed for nationally representative estimates for every year of the study period. The indices for every state and by race and ethnicity were also calculated. Due to the scope and breadth of the index components from across the life course, the Child and Adolescent Thriving Index 1.0 is intended to approximate the well-being of persons up to age 17 years. Data were analyzed from June 7, 2021, to March 17, 2022.

Exposures

Time in years.

Main Outcomes and Measures

The Child and Adolescent Thriving Index 1.0 is a weighted mean of 11 indicators intended to proxy well-being. The index comprises 11 components: non-low birth weight in neonates, preschool attendance in children aged 3 to 4 years, reading proficiency in fourth-grade students, math proficiency in eighth-grade students, food security in children younger than 18 years, general health status, nonobesity in high school students, nonsmoking in adolescents aged 12 to 17 years, non-marijuana use in adolescents aged 12 to 17 years, high school graduation in young adults aged 18 to 21 years, and nonarrest rate in children aged 10 to 17 years. The index ranges from 0 to 1, with 0 indicating minimum and 1 indicating maximum possible well-being at the population level.

Results

The Child and Adolescent Thriving Index 1.0 was applied to data from 12 320 national, state, and racial and ethnic population-level estimates. Over the study period, the Child and Adolescent Thriving Index 1.0 score increased from 0.780 points in 2000 to 0.843 points in 2019. Despite some convergence in geographic and racial and ethnic disparities, inequities were still present in 2019 in the South (-0.021 points) compared with the Northeast and among American Indian or Alaska Native (-0.079 points), Black (-0.053 points), and Latinx (-0.047 points) children and adolescents compared with White youths. Index components most associated with the overall increases in index scores of well-being were high school graduation rate (+0.028 units) and nonsmoking in adolescents (+0.022 units), amounting to 80.6% of the total increase.

Conclusions and Relevance

Results of this study suggest that child and adolescent well-being scores increased from 2000 to 2019, but substantial work remains to address persistent inequities across states and racial and ethnic populations. The newly developed Child and Adolescent Thriving Index 1.0 may be used in future work to evaluate which public policy types (economic, social, health care, housing, or education) are associated with higher levels of well-being.

Race, ethnicity and mortality in the United States during the first year of the COVID-19 pandemic: an assessment

The fact that a disproportionate share of the disease burden from COVID-19, including mortality, has been borne by racial and ethnic minority communities is well documented. The purpose of this paper is to reassess the "race/ethnicity effect" in COVID-19 mortality in the United States. Using an ecological regression framework and county-level data, the study aims to make two contributions. First, it estimates the race/ethnicity effect for all major racial/ethnic groups at four important junctures during the first year of the pandemic. In doing so, it seeks to provide the fullest possible picture of the nature and evolution of the race/ethnicity effect. Second, it estimates the race/ethnicity effect net of basic socioeconomic factors (SEF). This helps to identify the likely mechanisms through which the race/ethnicity effect operates. Racial/ethnic composition is flexibly measured in two ways-by percentage contributions to county population and by indicators of group plurality. The ecological regressions revealed a positive association between the size of three racial/ethnic groups-non-Hispanic Blacks, non-Hispanic American Indian and Alaskan Natives (AIAN) and Hispanics-and county mortality, although the association was stronger and more consistent for Blacks and AIANs. Furthermore, accounting for basic SEF had different impacts on the race/ethnicity-mortality association for the three groups. For Hispanics, it was almost fully mediated. For Blacks, it decreased but remained statistically significant [62-6% higher mortality associated with a 1-standard deviation increase in Black share of county population; 2.3-1.1 times higher mortality in the average Black plurality county]. For AIANs, it was largely unaffected or even increased [44-10% higher mortality associated with a 1-standard deviation increase in AIAN share; 6.2-1.8 times higher mortality in AIAN plurality county). For all groups, the race/ethnicity effect generally decreased as the pandemic wore on during the first year.

Supplementary Information

The online version contains supplementary material available at 10.1007/s44155-022-00019-9.

Institutional Racism and Health: a Framework for Conceptualization, Measurement, and Analysis

Despite growing interest in the health-related consequences of racially discriminatory institutional policies and practices, public health scholars have yet to reach a consensus on how to measure and analyze exposure to institutional racism. The purpose of this paper is to provide an overview of the conceptualization, measurement, and analysis of institutional racism in the context of quantitative research on minority health and health disparities in the United States. We begin by providing definitions of key concepts (e.g., racialization, racism, racial inequity) and describing linkages between these ideas. Next, we discuss the hypothesized mechanisms that link exposure to institutional racism with health. We then provide a framework to advance empirical research on institutional racism and health, informed by a literature review that summarizes measures and analytic approaches used in previous studies. The framework addresses six considerations: (1) policy identification, (2) population of interest, (3) exposure measurement, (4) outcome measurement, (5) study design, and (6) analytic approach. Research utilizing the proposed framework will help inform structural interventions to promote minority health and reduce racial and ethnic health disparities.

Maternal childhood trauma and prenatal stressors are associated with child behavioral health

Maternal adversity and prenatal stress confer risk for child behavioral health problems. Few studies have examined this intergenerational process across multiple dimensions of stress; fewer have explored potential protective factors. Using a large, diverse sample of mother-child dyads, we examined associations between maternal childhood trauma, prenatal stressors, and offspring socioemotional-behavioral development, while also examining potential resilience-promoting factors. The Conditions Affecting Neurocognitive Development and Learning and Early Childhood (CANDLE) study prospectively followed 1503 mother-child dyads (65% Black, 32% White) from pregnancy. Exposures included maternal childhood trauma, socioeconomic risk, intimate partner violence, and geocode-linked neighborhood violent crime during pregnancy. Child socioemotional-behavioral functioning was measured via the Brief Infant Toddler Social Emotional Assessment (mean age = 1.1 years). Maternal social support and parenting knowledge during pregnancy were tested as potential moderators. Multiple linear regressions (N = 1127) revealed that maternal childhood trauma, socioeconomic risk, and intimate partner violence were independently, positively associated with child socioemotional-behavioral problems at age one in fully adjusted models. Maternal parenting knowledge moderated associations between both maternal childhood trauma and prenatal socioeconomic risk on child problems: greater knowledge was protective against the effects of socioeconomic risk and was promotive in the context of low maternal history of childhood trauma. Findings indicate that multiple dimensions of maternal stress and adversity are independently associated with child socioemotional-behavioral problems. Further, modifiable environmental factors, including knowledge regarding child development, can mitigate these risks. Both findings support the importance of parental screening and early intervention to promote child socioemotional-behavioral health.

Census Tract Demographics Associated with Libraries' Social, Economic, and Health-Related Programming

Background: Public libraries can contribute to reducing economic, social, and health inequities through their programming and practices. However, the extent to which libraries regularly provide programming that improve the social determinants of health (SDH) in underserved communities is unclear. Objective: This study explored the relationship between census tract demographic characteristics and library programming implicated in the SDH for underserved groups at risk for health disparities. Method: A stratified random sample of libraries (n = 235) who completed the 2017 Public Libraries Survey were recruited. Librarians completed surveys about their libraries' economic, social, and health-related programming. Libraries' census tract demographic characteristics were taken from the 2013-2017 American Community Survey. Linear regressions were estimated to determine the relationship between relevant census tract demographic characteristics and programming offered at libraries in the census tracts. Results: Higher proportions of racial and ethnic minorities were associated with more frequent economic and social programs, but results were mixed for health-related programs. Lower proportions of populations with no more than a high school diploma or GED were related to more frequent economic, social, and health-related programs. Conclusions: The inequitable distribution of SDH-related library programming highlights gaps in libraries' responsiveness to community needs. Libraries' programming likely perpetuate systemic inequities.

Assessing the Influence of Food Insecurity and Retail Environments as a Proxy for Structural Racism on the COVID-19 Pandemic in an Urban Setting

A collaborative partnership launched the Great Grocer Project (GGP) in March 2021 in Detroit, Michigan where health inequities, including deaths due to COVID-19, have historically been politically determined and informed by socially entrenched norms. Institutional and structural racism has contributed to a lack of diversity in store ownership among Detroit grocers and limited access to high-quality, affordable healthy foods as well as disparate food insecurity among Detroit residents. The GGP seeks to promote Detroit's healthy grocers to improve community health and economic vitality through research, programs, and policies that have the potential to advance health equity. A cross-sectional design was used to explore relationships between scores from the Nutrition Environment Measures Surveys-Stores (NEMS-S) in 62 stores and city-level data of COVID-19 cases and deaths as well as calls to 211 for food assistance. Regression and predictive analyses were conducted at the ZIP code level throughout the city to determine a relationship between the community food environment and food insecurity on COVID-19 cases and deaths. COVID-19 cases and deaths contributed to greater food insecurity. The use of ZIP code data and the small sample size were limitations within this study. Causation could not be determined in this study; therefore, further analyses should explore the potential effects of individual grocery stores on COVID-related outcomes since a cluster of high-scoring NEMS-S stores and calls to 211 for food security resources inferred a potential protective factor. Poor nutrition has been shown to be associated with increased hospitalizations and deaths due to COVID-19. It is important to understand if a limited food environment can also have a negative effect on COVID-19 rates and deaths. Lessons learned from Detroit could have implications for other communities in using food environment improvements to prevent an uptick in food insecurity and deaths due to COVID-19 and other coronaviruses.

Advancing health equity through integrated biology and population health research: A community-based sample cortisol feasibility and exploratory study

Background

Community-based research inclusive of self-assessment and objective environmental metrics can be enhanced by the collection of biomarker data in unity toward assessing the health impacts of the totality of environmental stress driven by structural racism. Cortisol dynamic range (CDR), a measure of chronic stress burden, may underpin place-based connections to health, but a gap remains in elucidating community-based CDR methodology.

Purpose

To 1) assess the feasibility of cortisol collection and CDR measurement in a community-based study with home-based, participant-directed specimen collection, and 2) explore the association between CDR and other individual and environmental measures in a sample of predominantly Black participants. Methods: In this cross-sectional, observational study in predominantly Black urban neighborhoods, participants (n = 73) completed health assessments and in-home, self-collected salivary cortisol. For feasibility, CDR (peak-nadir) was compared to cortisol awakening response (CAR) slope over time. Comparisons of CDR quartile by person and place variables were explored (ANOVA).

Results

The cohort (77% Black, 39.7% <$15 k/year income, high perceived stress) completed 98.6% of cortisol collection timepoints. CDR was calculated in all participants without interruptions to sleep-wake cycle as seen with CAR collection. Participants in the lowest quartile of CDR were the oldest (p = 0.03) with lowest reported mental health (p = 0.048) with no associations seen for CAR.

Conclusion

Participant-collected 10.13039/501100011622CDR is more feasible than cortisol measures dependent on slopes over time in a community-based, predominately Black cohort with exploratory findings supporting relevance to outcomes of interest to future work. Future community-based studies should integrate CDR with environment and psychosocial measures.

•

Biological and social metrics can enhance community studies of structural racism.

•

Cortisol dynamic range (CDR) may reflect the burden of chronic stress in a community.

•

In-home, participant-collected salivary cortisol is feasible with in-field guidance.

•

CDR may be more feasible in community-based study than measures dependent on time.

•

Greatest CDR is seen with youngest age and best self-reported mental health.

Integrated Behavioral Health Implementation Patterns in Primary Care Using the Cross-Model Framework: A Latent Class Analysis

Primary care has increasingly adopted integrated behavioral health (IBH) practices to enhance overall care. The IBH Cross-Model Framework clarifies the core processes and structures of IBH, but little is known about how practices vary in the implementation of these processes and structures. This study aimed to describe clusters of clinics using the IBH Cross-Model Framework for a large sample of primary care clinics, as well as contextual variables associated with differences in implementation. Primary care clinics (N = 102) in Minnesota reported their level of implementation across 18 different components of IBH via the site self-assessment (SSA). The components were mapped to all five principles and four of the nine structures of the IBH Cross-Model Framework. latent class analysis was used to identify unique clusters of IBH components from the SSA across the IBH Cross-Model Framework's processes and structures. Latent classes were then regressed onto context variables. A four-class model was determined to be the best fit: Low IBH (39.6%), Structural IBH (7.9%), Partial IBH (29.4%), and Strong IBH (23.1%). Partial IBH clinics were more urban than the other three classes, lower in SES risk than Structural IBH clinics, and located in smaller organizations than Strong IBH clinics. There were no differences between classes in race/ethnicity of the clinic area or practice size. Four groups of IBH implementation were identified representing unique profiles of integration. These clusters may represent patterns of community-based implementation of IBH that indicate easier and more challenging aspects of IBH implementation.

Downward income mobility among individuals with poor initial health is linked with higher cardiometabolic risk

The effects of socioeconomic position (SEP) across life course accumulate and produce visible health inequalities between different socioeconomic groups. Yet, it is not well-understood how the experience of intergenerational income mobility between origin and destination SEP, per se, affects health outcomes. We use data from the National Longitudinal Study of Adolescent to Adult Health collected in the United States with the outcome measure of cardiometabolic risk (CMR) constructed from data on LDL Cholesterol, Glucose MG/DL, C-reactive protein, systolic and diastolic blood pressure, and resting heart rate. Intergenerational income mobility is estimated as the difference between Waves 1 and 5 income quintiles. Diagonal reference models are used to test if intergenerational income mobility, net of origin and destination income quintile effects, is associated with CMR. We find that individuals in the lowest and the highest income quintiles have, respectively, the highest and the lowest CMR; both origin and destination income quintiles are equally important; there are no significant overall income mobility effects for different gender and race/ethnicity groups, but downward income mobility has negative health implications for individuals with poor initial health. We conclude that downward income mobility can increase inequalities in CMR in the United States by worsening the health of those who had poor health before their mobility experiences.

Structural racism and the education gradient for early all-cause mortality

There are clear connections between education achieved and health over the course of a lifetime, with higher education achievement being associated with better health. However, the association between education and mortality have differed by race, with minoritized populations reaping fewer benefits from education attained. This paper aims to understand the moderating effect of structural racism (measured at the state level) on the association between education and all-cause early mortality for Black and White participants. We utilize a nationally representative longitudinal sample of youth (NLSY97), and estimates of structural racism for each state through measures of political participation, employment and job status, education attainment ratios, and judicial treatment. Random effects models were then utilized to compare associations between Black and White participants, and assess the association of education on early mortality. Results indicate significant, yet nuanced findings in each of the models assessed suggesting that Black and White participants experienced diminished returns of education on the probability of early mortality. Findings support previous research suggesting that structural racism is costing all citizens, but is especially harmful for minoritized populations.

Contextualizing Educational Disparities in Health: Variations by Race/Ethnicity, Nativity, and County-Level Characteristics

Educational disparities in health are well documented, yet the education-health relationship is inconsistent across racial/ethnic and nativity groups. These inconsistencies may arise from characteristics of the early life environments in which individuals attain their education. We evaluate this possibility by investigating (1) whether educational disparities in cardiometabolic risk vary by race/ethnicity and nativity among Black, Hispanic, and White young adults; (2) the extent to which racial/ethnic-nativity differences in the education-health relationship are contingent on economic, policy, and social characteristics of counties of early life residence; and (3) the county characteristics associated with the best health at higher levels of education for each racial/ethnic-nativity group. Using data from the National Longitudinal Study of Adolescent to Adult Health, we find that Black young adults who achieve high levels of education exhibit worse health across a majority of contexts relative to their White and Hispanic counterparts. Additionally, we observe more favorable health at higher levels of education across almost all contexts for White individuals. For all other racial/ethnic-nativity groups, the relationship between education and health depends on the characteristics of the early life counties of residence. Findings highlight place-based factors that may contribute to the development of racial/ethnic and nativity differences in the education-health relationship among U.S. young adults.

Health Disparities and Climate Change: The Intersection of Three Disaster Events on Vulnerable Communities in Houston, Texas

Although evidence suggests that successive climate disasters are on the rise, few studies have documented the disproportionate impacts on communities of color. Through the unique lens of successive disaster events (Hurricane Harvey and Winter Storm Uri) coupled with the COVID-19 pandemic, we assessed disaster exposure in minority communities in Harris County, Texas. A mixed methods approach employing qualitative and quantitative designs was used to examine the relationships between successive disasters (and the role of climate change), population geography, race, and health disparities-related outcomes. This study identified four communities in the greater Houston area with predominantly non-Hispanic African American residents. We used data chronicling the local community and environment to build base maps and conducted spatial analyses using Geographic Information System (GIS) mapping. We complemented these data with focus groups to assess participants' experiences in disaster planning and recovery, as well as community resilience. Thematic analysis was used to identify key patterns. Across all four communities, we observed significant Hurricane Harvey flooding and significantly greater exposure to 10 of the 11 COVID-19 risk factors examined, compared to the rest of the county. Spatial analyses reveal higher disease burden, greater social vulnerability, and significantly higher community-level risk factors for both pandemics and disaster events in the four communities, compared to all other communities in Harris County. Two themes emerged from thematic data analysis: (1) Prior disaster exposure prepared minority populations in Harris County to better handle subsequent disaster suggesting enhanced disaster resilience, and (2) social connectedness was key to disaster resiliency. Long-standing disparities make people of color at greater risk for social vulnerability. Addressing climate change offers the potential to alleviate these health disparities.

Alternative Payment Models and Associations With Stroke Outcomes, Spending, and Service Utilization: A Systematic Review

Stroke contributes an estimated $28 billion to US health care costs annually, and alternative payment models aim to improve outcomes and lower spending over fee-for-service by aligning economic incentives with high value care. This systematic review evaluates historical and current evidence regarding the impacts of alternative payment models on stroke outcomes, spending, and utilization. Included studies evaluated alternative payment models in 4 categories: pay-for-performance (n=3), prospective payments (n=14), shared savings (n=5), and capitated payments (n=14). Pay-for-performance models were not consistently associated with improvements in clinical quality indicators of stroke prevention. Studies of prospective payments suggested that poststroke spending was shifted between care settings without consistent reductions in total spending. Shared savings programs, such as US Medicare accountable care organizations and bundled payments, were generally associated with null or decreased spending and service utilization and with no differences in clinical outcomes following stroke hospitalizations. Capitated payment models were associated with inconsistent effects on poststroke spending and utilization and some worsened clinical outcomes. Shared savings models that incentivize coordination of care across care settings show potential for lowering spending with no evidence for worsened clinical outcomes; however, few studies evaluated clinical or patient-reported outcomes, and the evidence, largely US-based, may not generalize to other settings.

We are part of the problem: the role of children's hospitals in addressing health inequity

Racism is an ongoing public health crisis that undermines health equity for all children in hospitals across our nation. The presence and impact of institutionalized racism contributes to health inequity and is under described in the medical literature. In this review, we focus on key interdependent areas to foster inclusion, diversity, and equity in Children's Hospitals, including 1) promotion of workforce diversity 2) provision of anti-racist, equitable hospital patient care, and 3) prioritization of academic scholarship focused on health equity research, quality improvement, medical education, and advocacy. We discuss the implications for clinical and academic practice.Plain Language Summary: Racism in Children's Hospitals harms children. We as health-care providers and hospital systems are part of the problem. We reviewed the literature for the best ways to foster inclusion, diversity, and equity in hospitals. Hospitals can be leaders in improving child health equity by supporting a more diverse workforce, providing anti-racist patient care, and prioritizing health equity scholarship.

COVID-19 Healthcare Inequity: Lessons Learned from Annual Influenza Vaccination Rates to Mitigate COVID-19 Vaccine Disparities

The COVID-19 pandemic has infected 33 million Americans and resulted in more than 600,000 deaths as of late Spring 2021. Black, Indigenous, and Latinx (BIL) people are disproportionately infected, hospitalized, and dying. Effective vaccines were rapidly developed and have been widely available in the United States since their initial rollout in late 2020-early 2021 but vaccination rates in BIL communities have remained low compared with non-BIL communities. Limited access to the vaccine, lack of customized information, and mistrust of the medical system, all contribute to vaccine hesitancy and low vaccination rates. Regrettably, COVID-19 is not the only vaccine-preventable illness with racial/ethnic inequities. Similar inequities are seen with the seasonal influenza vaccine. We review the racial/ethnic health disparities in COVID-19 illness and vaccination rates and what inequities contribute to these disparities. We use evidence from the seasonal influenza vaccination efforts to inform potential strategies to attenuate these inequities. The development of effective and sustainable strategies to improve vaccination rates and reduce factors that result in health inequities is essential in managing current and future pandemics and promoting improved health for all communities.

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

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

Racial and ethnic disparities in birth Outcomes: A decomposition analysis of contributing factors

This study seeks to quantify and rank the contribution of selected factors to the observed racial/ethnic disparities in low-birth-weight births (LBWBs) and preterm births (PTBs). Based on vital statistics data on births to primiparous women and characteristics of mothers in the State of Nebraska during the period of 2005 to 2014 (n = 93,375), unadjusted and adjusted odds ratios were estimated to examine the association between selected variables and the odds of having LBWBs or PTBs. Fairlie decomposition analysis was performed to quantify the contribution of each selected factor to racial/ethnic differences in LBWB and PTB rates. The prevalence of PTBs was 9.1% among non-Hispanic White (NHW) women, as compared to 12.8% among non-Hispanic Black (NHB) women and 10.6% among Hispanic women. The corresponding prevalence of LBWBs in the three groups were 5.9%, 11.9%, and 7.2%, respectively. The higher educational attainment among NHW women, relative to NHB women accounted for 10% of the observed difference in LBWB rate between the two groups. Health insurance coverage was the second most important factor accounting for the observed disparities in birth outcomes. Addressing socioeconomic disadvantages in NHB and Hispanic women would be important for them to narrow their gaps with NHW women in LBWB and PTB prevalence. More research is needed to identify key factors leading to the disparities in birth outcomes between NHW and NHB women.

Intersectionality of Net Worth and Race Relative to Utilization of Total Hip and Knee Arthroplasty

BACKGROUND

Although the number of total hip arthroplasty and total knee arthroplasty (THA and TKA) increases, individuals of color continue to be less likely to undergo these procedures. Socioeconomic status may be a key influencer of THA and TKA utilization and outcomes. We explore the influence of net worth and race on THA and TKA utilization and outcomes of length of stay and readmissions using a large patient database.

METHODS

The StrataSphere data set, an aggregation of 49 health systems representing 209 hospitals, was used for primary THA and TKA procedures performed in the calendar year 2019. Net worth was determined from Market Vue Partners' data sources. Statistical analyses were performed to investigate relationships between net worth and patients undergoing THA or TKA.

RESULTS

When comparing our overall patient cohorts with the US population using Census data, we found differences in the utilization pattern indicated by index ratios most clearly in the lowest net worth categories. In the <$10K net worth category, THA and TKA index ratios were 0.51 and 0.54, respectively. In addition, we found that patients in the $100-250 and $250-500K net worth categories had increased utilization of both THA (index ratios of 1.39, 1.53) and TKA (index ratios of 1.45, 1.47) surgeries.

CONCLUSION

Net worth is a strong driver of disparities in utilization of THA and TKA with lower utilization of these surgeries in patients with net worth <$10K and increased utilization in patients with net worth from $100-250 and $250-500K.

Actual Racial/Ethnic Disparities in COVID-19 Mortality for the Non-Hispanic Black Compared to Non-Hispanic White Population in 353 US Counties and Their Association with Structural Racism

Introduction

Although disparities in COVID-19 mortality have been documented at the national and state levels, no previous study has quantified such disparities at the county level by explicitly measuring race-specific COVID-19 death rates. In this paper, we quantify the racial/ethnic disparities in COVID-19 mortality between the non-Hispanic Black and non-Hispanic White populations at the county level by estimating age-adjusted, race-specific death rates.

Methods

Using COVID-19 case data from the Centers for Disease Control and Prevention, we calculated crude and indirect age-adjusted COVID-19 mortality rates for the non-Hispanic White and non-Hispanic Black populations in each of 353 counties for the period February 2, 2020, through January 30, 2021. Using linear regression analysis, we examined the relationship between several county-level measures of structural racism and the observed differences in racial disparities in COVID-19 mortality across counties.

Results

Ninety-three percent of the counties in our study experienced higher death rates among the Black compared to the White population, with an average ratio of Black to White death rates of 1.9 and a 17.5-fold difference between the disparity in the lowest and highest counties. Three traditional measures of structural racism were significantly related to the magnitude of the Black-White racial disparity in COVID-19 mortality rates across counties.

Conclusions

There are large disparities in COVID-19 mortality rates between the Black and White populations at the county level, there are profound differences in the level of these disparities, and those differences are directly related to the level of structural racism in a given county.

Intergenerational upward mobility and racial differences in mortality among young adults: Evidence from county-level analyses

Inspired by the influential "deaths of despair" narrative, which emphasizes the role of worsening economic opportunity in driving the increasing mortality for non-Hispanic Whites in the recent decades, a rising number of studies have provided suggestive evidence that upward mobility levels across counties may partly explain variations in mortality rates. A gap in the literature is the lack of life-course studies examining the relationship between early-life upward mobility and later-life mortality across counties. Another gap is the lack of studies on how the relationship between upward mobility and mortality across counties varies across diverse sociodemographic populations. This study examines differences across race and sex in the relationship between early-life intergenerational upward mobility and early adulthood mortality at the county level. We use administrative data on upward mobility and vital statistics data on mortality across 3030 counties for those born between 1978 and 1983. We control for a variety of county-level socioeconomic variables in a model with fixed effects for state and year. Subgroup analyses by educational attainment and urban status were also performed for each race-sex combination. Results show strong negative relationships between early-life upward mobility and early adulthood mortality across racial-sex combinations, with a particularly greater magnitude for non-Hispanic Black males. In addition, individuals without a college degree and living in urban counties are particularly affected by early life upward mobility. The findings of this study highlight the vulnerability of less-educated, young urban Black males, due to the intersecting effects of the urban context, education, race, and sex.

Equitable allocation of COVID-19 vaccines in the United States

Many vaccine rationing guidelines urge planners to recognize, and ideally reduce, inequities. In the United States, allocation frameworks are determined by each of the Centers for Disease Control and Prevention's 64 jurisdictions (50 states, the District of Columbia, five cities and eight territories). In this study, we analyzed vaccine allocation plans published by 8 November 2020, tracking updates through to 30 March 2021. We evaluated whether jurisdictions adopted proposals to reduce inequity using disadvantage indices and related place-based measures. By 30 March 2021, 14 jurisdictions had prioritized specific zip codes in combination with metrics such as COVID-19 incidence, and 37 jurisdictions (including 34 states) had adopted disadvantage indices, compared to 19 jurisdictions in November 2020. Uptake of indices doubled from 7 to 14 among the jurisdictions with the largest shares of disadvantaged communities. Five applications were distinguished: (1) prioritizing disadvantaged groups through increased shares of vaccines or vaccination appointments; (2) defining priority groups or areas; (3) tailoring outreach and communication; (4) planning the location of dispensing sites; and (5) monitoring receipt. To ensure that equity features centrally in allocation plans, policymakers at the federal, state and local levels should universalize the uptake of disadvantage indices and related place-based measures.