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

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.

An Exploratory Study of Epigenetic Age in Preeclamptic and Normotensive Pregnancy Reveals Differences by Self-Reported Race but Not Pregnancy Outcome

Preeclampsia is a leading cause of maternal and neonatal morbidity and mortality. Chronological age and race are associated with preeclampsia, but the role of these factors is not entirely understood. We hypothesized that DNA methylation age, a measure of biological age, would be higher in individuals with preeclampsia than in individuals with normotensive pregnancy and that DNA methylation age would differ by race across pregnancy. This was a longitudinal, exploratory study of 56 pregnant individuals (n = 28 preeclampsia cases and n = 28 normotensive controls). Genome-wide DNA methylation data were generated from trimester-specific peripheral blood samples. DNA methylation age was estimated using the "Improved Precision" clock, and ∆age, the difference between DNA methylation age and chronological age, was computed. DNA methylation age was compared with chronological age using Pearson correlations. The relationships between ∆age and preeclampsia status, self-reported race, and covariates were tested using multiple linear regression and performed both with and without consideration of cell-type heterogeneity. We observed strong correlation between chronological age and DNA methylation age across pregnancy, with significantly stronger correlation observed in White participants than in Black participants. We observed no association between ∆age and preeclampsia status. However, ∆age was higher in participants with higher pre-pregnancy body mass index in trimester 1 and lower in Black participants than in White participants in trimesters 2 and 3. Observations were largely consistent when controlling for cell-type heterogeneity. Our findings in a small sample support the need for additional studies to investigate the relationship between race and biological age, which could provide further insight into racial disparities across pregnancy. However, this study does not support an association between ∆age and preeclampsia status.

Socioeconomic Status and Psychosocial Resources Mediate Racial/Ethnic Differences in Psychological Health Among Gay and Bisexual Men: A Longitudinal Analysis Using Structural Equation Modeling

A large body of research demonstrates disparities in psychological health attributed to sexual minority identity, racial/ethnic minority identity, and socioeconomic status (SES). Fewer studies have explicated the role of these multiple attributes on psychological health and explored the role of SES and psychosocial resources in determining outcomes. We analyzed data from Project STRIDE, a longitudinal survey involving a diverse sample of gay and bisexual adult men (n = 198). Using structural equation modeling, we tested hypothesized direct and indirect effects of race/ethnicity, SES, and three psychosocial mediational variables (collective self-efficacy, everyday discrimination, internalized homophobia) on two outcome variables-psychological and social well-being-assessed at 1-year follow-up. Our model indicated that: (1) race/ethnicity and SES were significantly associated with each other and with each psychosocial mediator; (2) higher SES was directly and indirectly associated with both measures of well-being; and (3) collective self-esteem and everyday discrimination mediated the association between SES and both measures of well-being. The model also indicated that racial/ethnic associations with psychological mediators and outcomes are evident in the context of SES, but these effects might be suppressed when the model does not consider SES. Findings highlight the critical role of SES and race/ethnicity in determining the psychological and social well-being of sexual minority men. Specification of mediating variables-collective self-efficacy, everyday discrimination, internalized homophobia-indicates potential intervention targets to improve psychological and social health in sexual minority men. Associations between race/ethnicity and SES support the need for intersectional frameworks in addressing the health of sexual minority men.

The Relationship Between Social Determinants of Health and Racial Disparities in COVID-19 Mortality

BACKGROUND

The COVID-19 pandemic has magnified existing health disparities for marginalized populations in the United States (U.S.), particularly among Black Americans. Social determinants of health are powerful drivers of health outcomes that could influence COVID-19 racial disparities.

METHODS

We collected data from publicly available databases on COVID-19 death rates through October 28, 2020, clinical covariates, and social determinants of health indicators at the U.S. county level. We utilized negative binomial regression to assess the association between social determinants of health and COVID-19 mortality focusing on racial disparities in mortality.

RESULTS

Counties with higher death rates had a higher proportion of Black residents and greater levels of adverse social determinants of health. A one percentage point increase in percent Black residents, percent uninsured adults, percent low birthweight, percent adults without high school diploma, incarceration rate, and percent households without internet in a county increased COVID-19 death rates by 0.9% (95% CI 0.5%-1.3%), 1.9% (95% CI 1.1%-2.7%), 7.6% (95% CI 4.4%-11.0%), 3.5% (95% CI 2.5%-4.5%), 5.4% (95% CI 1.3%-9.7%), and 3.4% (95% CI 2.5%-4.2%), respectively. Counties in the lowest quintile of a measure of economic privilege had an increased COVID-19 death rates of 67.5% (95% CI 35.9%-106.6%). Multivariate regression and subgroup analyses suggested that adverse social determinants of health may partially explain racial disparities in COVID-19 mortality.

CONCLUSIONS

This study demonstrates that social determinants of health contribute to COVID-19 mortality for Black Americans at the county level, highlighting the need for public health policies that address racial disparities in health outcomes.

Race, explicit racial attitudes, implicit racial attitudes, and COVID-19 cases and deaths: An analysis of counties in the United States

OBJECTIVES

To examine the potential moderating effects of explicit racial attitudes and implicit racial attitudes on the relationship between percent of Black county residents and COVID-19 cases and deaths.

METHODS

We collected data from a variety of publicly available sources for 817 counties in the US. (26% of all counties). Cumulative COVID-19 deaths and cases from January 22 to August 31, 2020 were the dependent variables; explicit racial attitudes and implicit racial attitudes served as the moderators; subjective poor or fair health, food insecurity, percent uninsured, percent unemployed, median family income, percent women, percent of Asian county resident, percent of Hispanic county residents, and percent of people 65 or older were controls.

RESULTS

The percent of Black county residents was positively associated with COVID-19 cases and deaths at the county level. The relationship between percent of Black residents and COVID-19 cases was moderated by explicit racial attitudes and implicit racial attitudes.

CONCLUSIONS

Implicit racial attitudes can take on a shared property at the community level and effectively explain racial disparities. COVID-19 cases are highest when both the percent of Black county residents and implicit racial attitudes are high.

Economic influences on population health in the United States: Toward policymaking driven by data and evidence

Atheendar S. Venkataramani and colleagues discuss economic factors and population health in the United States.