Perceptions of Racial-Ethnic Inequities in COVID-19 Healthcare and Willingness to Receive the COVID-19 Vaccine.

BACKGROUND: Perceptions of the US healthcare system can impact individuals' healthcare utilization, including vaccination intentions. This study examined the association between perceived racial-ethnic inequities in COVID-19 healthcare and willingness to receive the COVID-19 vaccine. METHODS: This study used data from REACH-US, a nationally representative online survey of a large, diverse sample of U.S. adults (N=5145 January 26, 2021-March 3, 2021). Confirmatory factor and regression analyses examined a latent factor of perceived racial-ethnic inequities in COVID-19 healthcare, whether the factor was associated with willingness to receive the COVID-19 vaccine, and whether associations varied across racial-ethnic groups reported as probit estimates (B) and 95% confidence intervals (CIs). RESULTS: Perceived racial-ethnic inequities in COVID-19 healthcare were highest among Black/African American adults (mean latent factor score: 0.65 ± 0.43) and lowest among White adults (mean latent factor score: 0.04 ± 0.67). Black/African American (B = -0.08; 95% CI = -0.19, 0.03) and Native Hawaiian/Pacific Islander (B = -0.08; 95% CI = -0.23, 0.07) adults who perceived greater racial-ethnic inequities in COVID-19 healthcare were less willing than participants who perceived lower inequities. In contrast, American Indian/Alaska Native (B = 0.15; 95% CI = -0.01, 0.30), Asian (B = 0.20; 95% CI = 0.08, 0.31), Hispanic/Latino (English language preference) (B = 0.22; 95% CI = 0.01, 0.43), Multiracial (B = 0.23; 95% CI = 0.09, 0.36), and White (B = 0.31; 95% CI = 0.19, 0.43) adults who perceived greater racial-ethnic inequities in COVID-19 healthcare were more willing to receive the COVID-19 vaccine than participants perceiving higher inequities. CONCLUSIONS: Greater perceived racial-ethnic inequities in COVID-19 healthcare were associated with less willingness to receive the COVID-19 vaccine among Black/African American and Native Hawaiian/Pacific Islander adults.

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.

Racialized Health Inequities: Quantifying Socioeconomic and Stress Pathways Using Moderated Mediation.

Racism drives population health inequities by shaping the unequal distribution of key social determinants of health, such as socioeconomic resources and exposure to stressors. Research on interrelationships among race, socioeconomic resources, stressors, and health has proceeded along two lines that have largely remained separate: one examining differential effects of socioeconomic resources and stressors on health across racialized groups (moderation processes), and the other examining the role of socioeconomic resources and stressors in contributing to racial inequities in health (mediation processes). We conceptually and analytically integrate these areas using race theory and a novel moderated mediation approach to path analysis to formally quantify the extent to which an array of socioeconomic resources and stressors-collectively and individually-mediate racialized health inequities among a sample of older adults from the Health and Retirement Study. Our results yield theoretical contributions by showing how the socioeconomic status-health gradient and stress processes are racialized (24% of associations examined varied by race), substantive contributions by quantifying the extent of moderated mediation of racial inequities (approximately 70%) and the relative importance of various social factors, and methodological contributions by showing how commonly used simple mediation approaches that ignore racialized moderation processes overestimate-by between 5% and 30%-the collective roles of socioeconomic status and stressors in accounting for racial inequities in health.

Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood.

The public health burden of alcohol is unevenly distributed across the life course, with levels of use, abuse, and dependence increasing across adolescence and peaking in early adulthood. Here, we leverage this temporal patterning to search for common genetic variants predicting developmental trajectories of alcohol consumption. Comparable psychiatric evaluations measuring alcohol consumption were collected in three longitudinal community samples (N=2,126, obs=12,166). Consumption-repeated measurements spanning adolescence and early adulthood were analyzed using linear mixed models, estimating individual consumption trajectories, which were then tested for association with Illumina 660W-Quad genotype data (866,099 SNPs after imputation and QC). Association results were combined across samples using standard meta-analysis methods. Four meta-analysis associations satisfied our pre-determined genome-wide significance criterion (FDR<0.1) and six others met our 'suggestive' criterion (FDR<0.2). Genome-wide significant associations were highly biological plausible, including associations within GABA transporter 1, SLC6A1 (solute carrier family 6, member 1), and exonic hits in LOC100129340 (mitofusin-1-like). Pathway analyses elaborated single marker results, indicating significant enriched associations to intuitive biological mechanisms, including neurotransmission, xenobiotic pharmacodynamics, and nuclear hormone receptors (NHR). These findings underscore the value of combining longitudinal behavioral data and genome-wide genotype information in order to study developmental patterns and improve statistical power in genomic studies.

A Life Course Approach to Inequality: Examining Racial/Ethnic Differences in the Relationship between Early Life Socioeconomic Conditions and Adult Health Among Men.

OBJECTIVE: Previous research has documented a relationship between childhood socioeconomic conditions and adult health, but less is known about racial/ethnic differences in this relationship, particularly among men. This study utilizes a life course approach to investigate racial/ethnic differences in the relationships among early and later life socioeconomic circumstances and health in adulthood among men. DESIGN: Panel data from the Health and Retirement Study and growth curve models are used to examine group differences in the relationships among childhood and adult socioeconomic factors and age-trajectories of self-rated health among White, Black and Mexican American men aged 51-77 years (N=4147). RESULTS: Multiple measures of childhood socioeconomic status (SES) predict health in adulthood for White men, while significantly fewer measures of childhood SES predict health for Black and Mexican American men. Moreover, the health consequences of childhood SES diminish with age for Black and Mexican American men. The childhood SES-adult health relationship is largely explained by measures of adult SES for White men. CONCLUSIONS: The life course pathways linking childhood SES and adult health differ by race/ethnicity among men. Similar to arguments that the universality of the adult SES-health relationship should not be assumed, results from our study suggest that scholars should not assume that the significance and nature of the association between childhood SES and health in adulthood is similar across race/ethnicity among men.

Racial/Ethnic Disparities in Men's Health: Examining Psychosocial Mechanisms.

This study uses data from the Health and Retirement Study and an approach informed by the Biopsychosocial Model of Racism as a Stressor to examine the extent to which socioeconomic status, stressors, discrimination, and neighborhood conditions are mechanisms underlying racial/ethnic disparities in functional limitations among men. Results reveal that racial/ethnic differences in socioeconomic status, stressors, discrimination, and neighborhood conditions-individually and collectively-account for a substantial proportion of racial/ethnic disparities in functional limitations. Findings suggest that the social determinants of health for men of color need to be more seriously considered in investigations of and efforts to address health disparities.

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.

Multimorbidity trajectories in early adulthood and middle age: Findings from the CARDIA prospective cohort study.

Background: Multimorbidity research has focused on the prevalence and consequences of multimorbidity in older populations. Less is known about the accumulation of chronic conditions earlier in the life course. Methods: We identified patterns of longitudinal multimorbidity accumulation using 30 years of data from in-person exams, annual follow-ups, and adjudicated end-points among 4,945 participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. Chronic conditions included arthritis, asthma, atrial fibrillation, cancer, end stage renal disease, chronic obstructive pulmonary disease, coronary heart disease, diabetes, heart failure, hyperlipidemia, hypertension, and stroke. Trajectory patterns were identified using latent class growth curve models. Results: Mean age (SD) at baseline (1985-6) was 24.9 (3.6), 55% were female, and 51% were Black. The median follow-up was 30 years (interquartile range 25-30). We identified six trajectory classes characterized by when conditions began to accumulate and the rapidity of accumulation: (1) early-fifties, slow, (2) mid-forties, fast, (3) mid-thirties, fast, (4) late-twenties, slow, (5) mid-twenties, slow, and (6) mid-twenties, fast. Compared with participants in the early-fifties, slow trajectory class, participants in mid-twenties, fast were more likely to be female, Black, and currently smoking and had a higher baseline mean waist circumference (83.6 vs. 75.6 cm) and BMI (27.0 vs. 23.4 kg/m2) and lower baseline physical activity (414.1 vs. 442.4 exercise units). Conclusions: A life course approach that recognizes the heterogeneity in patterns of accumulation of chronic conditions from early adulthood into middle age could be helpful for identifying high risk subgroups and developing approaches to delay multimorbidity progression.

How Social Roles Affect Sleep Health during Midlife.

This study draws on role theory and the life course perspective to examine how sleep health (duration, quality, and latency) is shaped by social role accumulation (number of roles), role repertoires (role combinations), and role contexts among middle-aged adults. We also examine how the relationships between social roles and sleep health are gendered. We use data from the National Longitudinal Survey of Youth 1979 Cohort (N = 7,628). Results show that role accumulation is associated with less sleep and decreased insomnia symptoms, and that role repertoires also impact sleep (e.g., parenthood leads to diminished sleep quantity and quality). There is also evidence that contextual factors related to employment history, marital quality, and parenthood affect sleep health. Furthermore, results reveal that several of the relationships between social roles and sleep are gendered. Taken together, findings demonstrate the utility of examining links between multiple dimensions of social roles and sleep health.

Attribution for everyday discrimination typologies and mortality risk among older black adults: Evidence from the health and retirement study?

BACKGROUND: The present study assessed how attributions of everyday discrimination typologies relate to all-cause mortality risk among older Black adults. METHODS: This study utilized data from a subsample of older Black adults from the 2006/2008 Health and Retirement Study (HRS). Attributions for everyday discrimination (i.e., ancestry, age, gender, race, physical appearance, physical disability, sexual orientation, weight, and other factors) were based on self-reports, while their vital statuses were obtained from the National Death Index and reports from key informants (spanning 2006-2019). We applied latent class analysis (LCA) to identify subgroups of older Black adults based on their attributions to everyday discrimination. Cox proportional hazards models were used to analyze time to death as a function of LCA group membership and other covariates. RESULTS: Based on fit statistics, we selected a four-class model that places respondents into one of the following classes: Class One (7%) attributed everyday discrimination to age, race, and physical disability; Class Two (72%) attributed everyday discrimination to few/no sources, Class Three (19%) attributed everyday discrimination to race and national origin; and Class Four (2%) attributed everyday discrimination to almost every reason. After adjusting for sociodemographic, behavioral, multisystem physiological dysregulation, and socioeconomic characteristics, we found that the relative risk of death remained higher for the respondents in Class One (Hazard Ratio [H.R.]: 1.80, 95% Confidence Interval [C.I.]: (1.09-2.98) and Class Four (H.R.: 3.92, 95% C.I.: 1.62-9.49) compared to respondents in Class Two. CONCLUSIONS: Our findings illustrate the utility of using attribution for everyday discrimination typologies in research on the psychosocial dimensions of mortality risk among older Black adults. Future research should assess the mechanisms that undergird the link between everyday discrimination classes and all-cause mortality risk among older Black adults.

Work-Related Stress, Psychosocial Resources, and Insomnia Symptoms Among Older Black Workers.

Objectives: To examine the association between work-related stress (job lock and job stress appraisal) and insomnia symptoms among older Black workers, as well as the extent to which psychosocial resources (mastery, social support, and religious involvement) mediate or moderate this association. Methods: This study uses Ordinary Least Squares regression analysis and data from the Health and Retirement Study (HRS) on Black workers aged 51 and older (N = 924). Results: Job lock due to financial reasons and job stress appraisal are associated with increased insomnia symptoms among older Black workers. Religious attendance buffers the harmful effects of financial job lock on sleep quality, while religiosity exacerbates the effects of job stress on insomnia symptoms. Discussion: Taken together, findings underscore the utility of the Stress Process Model for understanding diverse stress and sleep experiences in later life. Furthermore, findings have the potential to inform efficacious policies for reducing work-related stress and mitigating its harmful consequences.

Sick And Tired Of Being Excluded: Structural Racism In Disenfranchisement As A Threat To Population Health Equity.

Theoretical research suggests that racialized felony disenfranchisement-a form of structural racism-is likely to undermine the health of Black people, yet empirical studies on the topic are scant. We used administrative data on disproportionate felony disenfranchisement of Black residents across US states, linked to geocoded individual-level health data from the 2016 Health and Retirement Study, to estimate race-specific regression models describing the relationship between racialized disenfranchisement and health among middle-aged and older adults, adjusting for other individual- and state-level factors. Results show that living in states with higher levels of racialized disenfranchisement is associated with more depressive symptoms, more functional limitations, more difficulty performing instrumental activities of daily living, and more difficulty performing activities of daily living among Black people. However, there are no statistically significant relationships between racialized disenfranchisement and health among White people. These findings suggest that policies aiming to mitigate disproportionate Black felony disenfranchisement not only are essential for political inclusion but also may be valuable tools for improving population health equity.

Empirical evidence on structural racism as a driver of racial inequities in COVID-19 mortality.

Objective: This study contributes to the literature by empirically testing the extent to which place-based structural racism is a driver of state-level racial inequalities in COVID-19 mortality using theoretically-informed, innovative approaches. Methods: CDC data are used to measure cumulative COVID-19 death rates between January 2020 and August 2022. The outcome measure is a state-level Black-White (B/W) ratio of age-adjusted death rates. We use state-level 2019 administrative data on previously validated indicators of structural racism spanning educational, economic, political, criminal-legal and housing to identify a novel, multi-sectoral latent measure of structural racism (CFI = 0.982, TLI = 0.968, and RMSEA = 0.044). We map B/W inequalities in COVID-19 mortality as well as the latent measure of structural racism in order to understand their geographic distribution across U.S. states. Finally, we use regression analyses to estimate the extent to which structural racism contributes to Black-White inequalities in COVID-19 mortality, net of potential confounders. Results: Results reveal substantial state-level variation in the B/W ratio of COVID-19 death rates and structural racism. Notably, regression estimates indicate that the relationship between the structural racism and B/W inequality in COVID-19 mortality is positive and statistically significant (p < 0.001), both in the bivariate model (adjusted R2 = 0.37) and net of the covariates (adjusted R2 = 0.54). For example, whereas states with a structural racism value 2 standard deviation below the mean have a B/W ratio of approximately 1.12, states with a structural racism value 2 standard deviation above the mean have a ratio of just above 2.0. Discussion: Findings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains.

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

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

Structural Intersectionality as a New Direction for Health Disparities Research.

This article advances the field by integrating insights from intersectionality perspectives with the emerging literatures on structural racism and structural sexism-which point to promising new ways to measure systems of inequality at a macro level-to introduce a structural intersectionality approach to population health. We demonstrate an application of structural intersectionality using administrative data representing macrolevel structural racism, structural sexism, and income inequality in U.S. states linked to individual data from the Behavioral Risk Factor Surveillance System to estimate multilevel models (N = 420,644 individuals nested in 76 state-years) investigating how intersecting dimensions of structural oppression shape health. Analyses show that these structural inequalities: (1) vary considerably across U.S. states, (2) intersect in numerous ways but do not strongly or positively covary, (3) individually and jointly shape health, and (4) are most consistently associated with poor health for black women. We conclude by outlining an agenda for future research on structural intersectionality and health.

The Color of COVID-19: Structural Racism and the Disproportionate Impact of the Pandemic on Older Black and Latinx Adults.

OBJECTIVES: The aim of this evidence-based theoretically informed article was to provide an overview of how and why the COVID-19 outbreak is particularly detrimental for the health of older Black and Latinx adults. METHODS: We draw upon current events, academic literature, and numerous data sources to illustrate how biopsychosocial factors place older adults at higher risk for COVID-19 relative to younger adults, and how structural racism magnifies these risks for black and Latinx adults across the life course. RESULTS: We identify 3 proximate mechanisms through which structural racism operates as a fundamental cause of racial/ethnic inequalities in COVID-19 burden among older adults: (a) risk of exposure, (b) weathering processes, and (c) health care access and quality. DISCUSSION: While the ongoing COVID-19 pandemic is an unprecedented crisis, the racial/ethnic health inequalities among older adults it has exposed are longstanding and deeply rooted in structural racism within American society. This knowledge presents both challenges and opportunities for researchers and policymakers as they seek to address the needs of older adults. It is imperative that federal, state, and local governments collect and release comprehensive data on the number of confirmed COVID-19 cases and deaths by race/ethnicity and age to better gauge the impact of the outbreak across minority communities. We conclude with a discussion of incremental steps to be taken to lessen the disproportionate burden of COVID-19 among older Black and Latinx adults, as well as the need for transformative actions that address structural racism in order to achieve population health equity.

Budgetary Consequences of High Medical Spending Across Age and Social Status: Evidence from the Consumer Expenditure Surveys.

BACKGROUND AND OBJECTIVES: This study examines high medical spending among younger, midlife, and older households. RESEARCH DESIGN AND METHODS: We investigate high medical spending using data from the 2010 through March 2018 Consumer Expenditures Surveys (n = 92,951). We classify and describe high medical spenders relative to others within three age groups (household heads age 25-44, 45-64, and 65+) using finite mixture models and multinomial logistic regression, respectively. We then use hierarchical linear models to estimate the effects of high medical spending on nonmedical spending. RESULTS: Among younger households, high medical spending is positively associated with higher education and increased spending on housing and food. Among older households, high medical spending is associated with lower education and decreased nonmedical spending. DISCUSSION AND IMPLICATIONS: Earlier in the life course, high medical spending is more likely to indicate an investment in future household well-being, while at older ages, high medical spending is likely to indicate medical consumption.

Divergent pathways? Racial/ethnic differences in older women's labor force withdrawal.

OBJECTIVES: The purpose of this study was to investigate how women's labor force withdrawal behavior varies across race/ethnicity and to identify life course factors that generate these differences. METHODS: Using a sample of 7,235 women from the 1992-2004 Health and Retirement Study, we estimated cross-sectional multinomial logit models to explore racial/ethnic differences in labor force status at first interview. We then examined the prospective risk of exiting the labor force via retirement, work disability, or death using discrete-time hazard models. RESULTS: Black and Hispanic women had twice the odds of Whites of being work-disabled at first interview. Whereas younger minorities had lower odds of being retired at first interview, older minorities had higher odds. The prospective results showed that both Blacks and Hispanics had higher risks of work disability but not of retirement or of dying in the labor force. Overall, racial/ethnic differences in mid- and later life work behavior stemmed primarily from disparities in life course capital. DISCUSSION: This study shows that substantial racial/ethnic disparities in labor force exit behavior have already emerged by midlife. It is important to note that distinguishing between alternative pathways out of the labor force demonstrates that work disability is a more common experience for Black and Hispanic women than for Whites.

Psychosocial Mechanisms Underlying Older Black Men's Health.

Objectives: To evaluate the psychosocial mechanisms underlying older Black men's self-rated health, we examined: (a) the individual, cumulative, and collective effects of stressors on health; (b) the direct effects of psychosocial resources on health; and (c) the stress-moderating effects of psychosocial resources. Method: This study is based on a nationally representative sample of Black men aged 51-81 (N = 593) in the Health and Retirement Study (HRS). Ordinary least squares (OLS) regression models of the psychosocial determinants of self-rated health draw on data from the HRS 2010 and 2012 Core datasets and Psychosocial Modules. Results: Each of the six measures of stressors as well as a cumulative measure of stressors are predictive of worse self-rated health. However, when considered collectively, only two stressors (chronic strains and traumatic events) have statistically significant effects. Furthermore, two of the five psychosocial resources examined (mastery and optimism) have statistically significant protective effects, and prayer moderates the harmful effects of traumatic events on self-rated health. Discussion: Conventional measures of stressors and coping resources-originally developed to account for variance in health outcomes among predominantly white samples-may not capture psychosocial factors most salient for older Black men's health. Future research should incorporate psychosocial measures that reflect their unique experiences.