Race and Ethnicity, Racism, and Population Health in the United States: The Straightforward, the Complex, Innovations, and the Future.

For far too long, U.S. racialized groups have experienced human suffering and loss of life far too often and early. Thus, it is critical that the population sciences community does its part to improve the science, education, and policy in this area of study and help to eliminate ethnoracial disparities in population health. My 2022 PAA Presidential Address focuses on race and ethnicity, racism, and U.S. population health in the United States and is organized into five sections. First, I provide a descriptive overview of ethnoracial disparities in U.S. population health. Second, I emphasize the often overlooked scientific value of such descriptive work and demonstrate how such seemingly straightforward description is complicated by issues of population heterogeneity, time and space, and the complexity of human health. Third, I make the case that the population sciences have generally been far too slow in incorporating the role of racism into explanations for ethnoracial health disparities and lay out a conceptual framework for doing so. Fourth, I discuss how my research team is designing, collecting, and disseminating data for the scientific community that will have potential to, among many other purposes, create a better understanding of ethnoracial health disparities and the role of racism in producing such disparities. Finally, I close by suggesting some policy- and education-related efforts that are needed to address racism and population health within U.S. institutions.

Exposure to Family Member Deaths Across the Life Course for Hispanic Individuals.

The present study documents differences in exposure to family member deaths among foreign-born and U.S.-born Hispanic individuals compared with non-Hispanic Black and non-Hispanic White individuals. We use data from the Health and Retirement Study (HRS; 1992-2016, ages 51+; N = 23,228) and the National Longitudinal Study of Adolescent to Adult Health (Add Health; Waves I-V, ages 12-43; N = 11,088) to estimate the risk of exposure to the death of a mother, father, spouse, sibling, and child across the life course. HRS results show more inequities in exposure to family deaths compared with Add Health results, suggesting differences by age or birth cohort. Compared with non-Hispanic Whites, U.S.-born Hispanic individuals in the HRS have a higher risk of experiencing a child's death throughout adulthood and a sibling's death in later life; the latter is explained by larger sibship size, indicating a greater lifetime risk of bereavement experiences. The higher risk of parental death during childhood for U.S.-born and foreign-born Hispanic individuals is explained by covariates (e.g., lower levels of educational attainment). Hispanic individuals generally have a lower risk of family deaths than non-Hispanic Black individuals, but at times a higher risk of exposure relative to non-Hispanic White individuals.

"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.

Race/ethnicity, immigrant generation, and physiological dysregulation among U.S. adults entering midlife.

This study aimed to better understand racial/ethnic and immigrant generation disparities in physiological dysregulation in the early portion of the adult life course. Using biomarker-measured allostatic load, we focused on the health of child/adolescent immigrant, second-, and third-plus-generation Asian, Black, Hispanic, and White Americans in their late 30s and early 40s. We drew on restricted-access data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), Waves I and V. The results indicate lower levels of physiological dysregulation for most racial/ethnic groups of child/adolescent immigrants relative to both third-plus-generation Whites and third-plus-generation same race/ethnic peers. Socioeconomic, social, and behavioral control variables measured in different parts of the life course had little impact on these patterns. Thus, evidence of an immigrant health advantage is found for this cohort using allostatic load as a measure of physiological dysregulation, even though immigrants in Add Health arrived at the United States during childhood and adolescence. Implications of these findings in the context of immigrant health advantages and trajectories are discussed.

Skin Tone and the Health Returns to Higher Status.

This study addresses two questions. First, why do Black Americans exhibit worse health outcomes than White Americans even at higher levels of socioeconomic status (SES)? Second, are diminished health returns to higher status concentrated among Black Americans with darker skin color? Novel hypotheses are tested with biosocial panel data from Add Health, a nationally representative cohort of Black and White adolescents who have transitioned to adulthood. We find that White and light-skin Black respondents report improved health after achieving higher SES, on average, while their darker-skin Black peers report declining health. These patterns persist regardless of controls for adolescent health status and unmeasured between-person heterogeneity. Moreover, increased inflammation tied to unfair treatment and perceptions of lower status helps to account for patterns of diminished health returns for dark-skin Black groups. Our study is the first to document skin tone heterogeneity in diminished health returns and one of few studies to identify life course stress processes underlying such disparities. We consider additional processes that could be examined in future studies, as well as the broader health and policy implications of our findings.

Social status differences in allostatic load among young adults in the United States.

Allostatic load refers to wear and tear on the body due to repeated activation of the stress response and, thus, may be an early subclinical indicator of future disease and mortality risk. To date, few studies of allostatic load have focused on young adults, racial/ethnic comparisons that include Mexican Americans, or the interplay between race/ethnicity, gender, and educational attainment. To fill these gaps, we used data on non-Hispanic Black, non-Hispanic White, and Mexican-origin respondents from Waves I (1994-1995) and IV (2007-2008) of the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 11,807). We calculated allostatic load scores based on respondents' values for 10 metabolic, cardiovascular, and inflammatory biomarkers measured at Wave IV, when respondents were 24-34 years old. We then used negative binomial regression models to assess the combined effects of race/ethnicity, gender, and educational attainment on allostatic load, while controlling for key covariates. We found that Black women had significantly higher allostatic load scores than White women and Black men, net of educational attainment and other covariates. Yet, education modified the relationship between race/ethnicity, gender, and allostatic load. Obtaining a college education was protective for White males and females but no more or less protective for other women and deleterious for Black males. In other words, by the time they reach young adulthood, the cumulative physiological burden of stress on Black women and college-educated Black men is already greater than it is among their similarly or less educated White counterparts. These findings provide important information about the intermediate physiological dysregulation that underlies social inequalities in stress-related health outcomes, especially those that occur at the intersections of race/ethnicity, gender, and educational attainment. They also suggest that research on its antecedents should focus on earlier life periods.

Social Inequality and the Future of U.S. Life Expectancy.

Despite decades of progress, the future of life expectancy in the United States is uncertain due to widening socioeconomic disparities in mortality, continued disparities in mortality across racial/ethnic groups, and an increase in extrinsic causes of death. These trends prompt us to scrutinize life expectancy in a high-income but enormously unequal society like the United States, where social factors determine who is most able to maximize their biological lifespan. After reviewing evidence for biodemographic perspectives on life expectancy, the uneven diffusion of health-enhancing innovations throughout the population, and the changing nature of threats to population health, we argue that sociology is optimally positioned to lead discourse on the future of life expectancy. Given recent trends, sociologists should emphasize the importance of the social determinants of life expectancy, redirecting research focus away from extending extreme longevity and towards research on social inequality with the goal of improving population health for all.

Is educational attainment associated with young adult cardiometabolic health?

Educational disparities in health and mortality are well-documented and evidence suggests that they may be widening. Yet, there is much unknown about when educational disparities begin to emerge and for whom. This paper investigates the association between educational attainment and cardiometabolic health in young adults with critical attention paid to differences across racial/ethnic and sex subgroups. We focus on cardiometabolic health in young adulthood as it is particularly relevant for understanding current population health trends. We used data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) when participants were aged 12-19 years (Wave I) and aged 24-32 years (Wave IV). Using a series of logistic regression models, we first estimated the association between education and five markers of cardiometabolic health (high-risk blood pressure, high-risk waist circumference, diabetes/pre-diabetes, hyperlipidemia, and high-risk inflammation). We then examined the extent to which this association was explained by adolescent health and both adolescent and young adult socioeconomic status (SES) (including parental education, participant educational attainment, household income, and employment status). Finally, we investigated whether the association between educational attainment and cardiometabolic health differed by race/ethnicity and sex. We found evidence of an association between educational attainment and cardiometabolic health that persisted net of adolescent health, adolescent SES, and young adult SES. We also found some evidence of modest differences in this association by race/ethnicity and sex. Our findings suggest that even as early as young adulthood there are disparities in cardiometabolic health by educational attainment, which may lead to even larger disparities in late life health.

Patterns of black and white hysterectomy incidence among reproductive aged women.

OBJECTIVE: To investigate the intersection of race and economic context in treatment with hysterectomy among reproductive aged women with noncancerous gynecologic conditions. DATA SOURCES: We combined administrative billing records of inpatient and outpatient hysterectomy procedures (N = 28 301) occurring in North Carolina between 2011 and 2014 with census data to calculate county-level hysterectomy rates. STUDY DESIGN: Spatial analysis techniques examined the distribution of black and white hysterectomy rates across counties, and county-level black and white rate differences were compared across economic contexts. DATA COLLECTION/EXTRACTION: We restricted to those of premenopausal age identifying as non-Hispanic black or white, undergoing hysterectomy for nonemergent causes (N = 28 301 procedures). PRINCIPAL FINDINGS: County-level hysterectomy rates were spatially patterned (Moran's I, P < .05) and similarly so for black and white women (LISA, P < .005). The black-white difference in hysterectomy rates was the largest in the high economic tier counties (22/10 000 person-years [PY], P < .05) and smallest in the mid and low economic tier counties (11/10 000 PY, P > .05 and 10/10 000 PY, P > .05, respectively). CONCLUSION: Socioeconomic context is important to understand, particularly for black-white disparities in hysterectomy. Efforts should be made to understand the causes of higher rates of hysterectomy among blacks than whites, especially in counties in the highest economic tier.

Life Course Socioeconomic Disadvantage and the Aging Immune System: Findings From the Health and Retirement Study.

OBJECTIVES: Previous research has documented a consistent association between current socioeconomic status (SES) and cytomegalovirus (CMV). Early life is likely a critical period for CMV exposure and immune development, but less is known about early-life socioeconomic factors and CMV, particularly in older age populations. Using data from the Health and Retirement Study, we investigated the association between life course socioeconomic disadvantage and immune response to CMV among older adults. METHODS: Using ordered logit models, we estimated associations between several measures of socioeconomic disadvantage and the odds of being in a higher CMV Immunoglobulin G (IgG) response category in a sample of 8,168 respondents aged older than 50 years. RESULTS: We found a significant association between educational attainment and CMV IgG response. Those with less than a high school education had 2.00 (95% confidence interval [CI]: 1.67-2.40) times the odds of being in a higher CMV category compared to those with a college degree or greater. In addition, we also observed a significant association with parental education and CMV response. Individuals with parents having 8 years or less of schooling had 2.32 (95% CI: 2.00-2.70) times the odds of higher CMV response compared to those whose parents had greater than high school education. DISCUSSION: CMV IgG levels in older adults are associated with both early-life and adult SES. Life course socioeconomic disadvantage may contribute to disparities in immunological aging.

Which Aspects of Education Matter for Early Adult Mortality? Evidence from the High School and Beyond Cohort.

What dimensions of education matter for people's chances of surviving young adulthood? Do cognitive skills, non-cognitive skills, course taking patterns, and school social contexts matter for young adult mortality, even net of educational attainment? We analyze data from High School & Beyond-a nationally representative cohort of ~25,000 high school students first interviewed in 1980. Many dimensions of education are associated with young adult mortality, and high school students' math course taking retain their associations with mortality net of educational attainment. Our work draws on theories and measures from sociological and educational research and enriches public health, economic, and demographic research on educational gradients in mortality that has almost exclusively relied on ideas of human capital accumulation and measures of degree attainment. Our findings also call on social and education researchers to engage together in research on the life-long consequences of educational processes, school structures, and inequalities in opportunities to learn.

A gender framework for understanding health lifestyles.

PURPOSE: A health lifestyles approach holds promise for understanding change in women's and men's health behaviors and reducing gendered health disparities. The emerging theoretical and empirical literature on health lifestyles (individuals' bundled health behaviors that are shaped by group-based identities and norms) helps elucidate complex disparities in health behaviors, but research is needed on how gender shapes the development of health lifestyles. This study proposed and assessed a dynamic multilevel framework for understanding health lifestyles that draws on insights from contemporary gender and life course scholarship. DATA: Using the transition from adolescence into adulthood as an empirical case, we analyzed US data from the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 6605), which followed adolescents through young adulthood, collecting information on their health behaviors and social contexts. FINDINGS: Latent class analyses showed that health lifestyles differed significantly by gender. Results supported the dynamic multilevel framework, finding more variation in health lifestyle behaviors within genders than between, high levels of change across ages, intersections of gender with age, and socioeconomic status as a structural pathway for gender's influence. CONCLUSION: Taken together, these findings suggest that conceptualizing gender as a dynamic multilevel system intersecting with other social statuses is fruitful for understanding how health lifestyles form and change. These findings can inform more effective policies to change health behaviors.

Greater mortality variability in the United States in comparison with peer countries.

BACKGROUND: Over the past several decades, US mortality declines have lagged behind other high-income countries. However, scant attention has been devoted to how US mortality variability compares with other countries. OBJECTIVE: We examine trends in mortality and mortality variability in the US and 16 peer countries from 1980 through 2016. METHODS: We employ the Human Mortality Database and demographic techniques - with a focus on patterns in the interquartile (IQR), interdecile (IDR), and intercentile (ICR) ranges of survivorship - to better understand US mortality and mortality variability trends in comparative perspective. RESULTS: Compared to other high-income countries, the US: (1) mortality ranking has slipped for nearly all age groups; (2) is losing its old age mortality advantage; (3) has seen growth in relative age-specific mortality gaps from infancy through midlife; and (4) exhibits greater concentrations of deaths from infancy through adulthood, resulting in much greater mortality variability. CONCLUSIONS: We contribute to calls for renewed attention to the relatively low and lagging US life expectancy. The ICR draws particular attention to the comparatively high US early and midlife mortality. CONTRIBUTION: We find comparatively high variability in US mortality. Further reductions in early and midlife mortality could diminish variability, reduce years of potential life lost, and increase life expectancy. Consistent with previous research, we encourage policymakers to focus on reducing the unacceptably high early and midlife mortality in the US. And we urge researchers to more frequently monitor and track mortality variation in conjunction with mortality rates and life expectancy estimates.

Lung cancer mortality among never-smokers in the United States: estimating smoking-attributable mortality with nationally representative data.

PURPOSE: Lung cancer mortality among never-smokers is an often overlooked yet important cause of adult mortality. Moreover, indirect approaches for estimating smoking-attributable mortality use never-smoker lung cancer death rates to approximate smoking burden. To date, though, most studies using indirect approaches import rates from the Cancer Prevention Study II (CPS-II), which is not representative of the U.S. METHODS: We use the nationally representative 1985-2015 National Health Interview Survey-Linked Mortality Files (NHIS-LMF) to calculate lung cancer death rates among never-smokers aged 50 years or older. We then import rates from NHIS-LMF and CPS-II into the Preston-Glei-Wilmoth indirect method to determine whether smoking-attributable fractions differ. RESULTS: Never-smokers account for 16% of U.S. lung cancer deaths among women and 11% among men. Lung cancer death rates among never-smokers are higher in NHIS-LMF than CPS-II for several age groups. Smoking-attributable fractions of mortality are slightly lower with NHIS-LMF rates (19% of male deaths and 16% of female deaths) than with CPS-II rates (21% of male deaths and 17% of female deaths). CONCLUSIONS: Fractions based on nonrepresentative CPS-II data may modestly overestimate smoking-attributable mortality. Thus, indirect methods should use never-smoker lung cancer death rates from such nationally representative datasets as NHIS-LMF.

Occupation, employment status, and "despair"-associated mortality risk among working-aged U.S. adults, 1997-2015.

The recent rise in U.S. midlife mortality has been conceptualized as a "working-class" crisis, defined by increasing mortality among blue-collar and/or unemployed workers and the decline of manual labor; yet research on the topic overwhelmingly focuses on educational attainment as the key socioeconomic determinant of midlife mortality, especially among "despair"-related deaths. The present study addresses this gap by using data on 360,146 adults ages 25-64 from restricted-use National Health Interview Survey-Linked Mortality Files (1997-2015; average follow-up 9.87 years) to estimate associations between individuals' occupation and employment status and alcoholic liver disease, suicide, or accidental poisoning mortality risk, net of confounders. Adults in service, manual labor, and transport occupations exhibited two-to-three times the risk of mortality from accidental poisonings compared to those in managerial/administrative positions. Notably, health professionals exhibited the highest accidental poisoning mortality risks. Relative to managerial/administrative professionals, adults not in the labor force had double the suicide risk and nearly seven times the accidental poisoning risk, net of confounders. Unemployed adults and those having never worked also had elevated risks from accidental poisoning mortality. Critically, the fact that individuals' occupations and employment status are independently associated with midlife mortality due to deaths of despair - especially accidental poisoning - highlights the need for measures of socioeconomic status beyond educational attainment and income in understanding rising midlife mortality. Moreover, policies addressing working-aged mortality must target particular workplace contexts and the consequences of unemployment, both of which affect a large and growing segment of the working-aged U.S. population.

The persistent southern disadvantage in US early life mortality, 1965-2014.

BACKGROUND: Recent studies of US adult mortality demonstrate a growing disadvantage among southern states. Few studies have examined long-term trends and geographic patterns in US early life (ages 1 to 24) mortality, ages at which key risk factors and causes of death are quite different than among adults. OBJECTIVE: This article examines trends and variations in early life mortality rates across US states and census divisions. We assess whether those variations have changed over a 50-year time period and which causes of death contribute to contemporary geographic disparities. METHODS: We calculate all-cause and cause-specific death rates using death certificate data from the Multiple Cause of Death files, combining public-use files from 1965-2004 and restricted data with state geographic identifiers from 2005-2014. State population (denominator) data come from US decennial censuses or intercensal estimates. RESULTS: Results demonstrate a persistent mortality disadvantage for young people (ages 1 to 24) living in southern states over the last 50 years, particularly those located in the East South Central and West South Central divisions. Motor vehicle accidents and homicide by firearm account for most of the contemporary southern disadvantage in US early life mortality. CONTRIBUTION: Our results illustrate that US children and youth living in the southern United States have long suffered from higher levels of mortality than children and youth living in other parts of the country. Our findings also suggest the contemporary southern disadvantage in US early life mortality could potentially be reduced with state-level policies designed to prevent deaths involving motor vehicles and firearms.

Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?

BACKGROUND: Inequalities by race and ethnicity in hysterectomy for noncancerous conditions suggest that some subgroups may be shouldering an unfair burden of procedure-associated negative health impacts. We aimed to estimate race- and ethnicity-specific rates in contemporary hysterectomy incidence that address three challenges in the literature: exclusion of outpatient procedures, no hysterectomy prevalence adjustment, and paucity of non-White and non-Black estimates. METHODS: We used surveillance data capturing all inpatient and outpatient hysterectomy procedures performed in North Carolina from 2011 to 2014 (N = 30,429). Integrating data from the Behavior Risk Factor Surveillance System and US Census population estimates, we calculated prevalence-corrected hysterectomy incidence rates and differences by race and ethnicity. RESULTS: Prevalence-corrected estimates show that non-Hispanic (nH) Blacks (62, 95% confidence interval [CI] = 61, 63) and nH American Indians (85, 95% CI = 79, 93) per 10,000 person-years (PY) had higher rates, compared with nH Whites (45 [95% CI = 45, 46] per 10,000 PY), while Hispanic (20, 95% CI = 20, 21) and nH Asian/Pacific Islander rates (8, 95% CI = 8.0, 8.2) per 10,000 PY were lower than nH Whites. CONCLUSION: Through strategic surveillance data use and application of bias correction methods, we demonstrate wide differences in hysterectomy incidence by race and ethnicity. See video abstract at, http://links.lww.com/EDE/B657.

Race, death of a child, and mortality risk among aging parents in the United States.

The death of a child is a stressful and traumatic life event that has been linked to increased mortality risk among parents. Tragically, black parents are significantly more likely than white parents to lose a child in the United States; however, prior research has not addressed this racial disadvantage in relation to parents' mortality risk. In this study, we focus on the racial context of the United States to suggest that black parents already face higher mortality rates compared to white parents, and the unequal burden of child death adds to their mortality risk. Using discrete-time event history models, we consider whether the death of a child by midlife is associated with increased mortality risk for black parents and for white parents in mid- to later-life using longitudinal data from the Health and Retirement Study (HRS; 1996-2016). Descriptive results show that by midlife, black parents, especially black mothers, experience substantially higher child mortality compared with white parents. At the same time, we find that losing a child prior to midlife is associated with heightened mortality risk for aging black mothers and white mothers. Controlling for educational attainment explains the association between child death and parental mortality risk among white mothers, whereas heightened biopsychosocial and behavioral risk factors explain the association for black mothers. Overall, the death of a child is associated with increased mortality risk for black mothers and for white mothers, but the processes linking child death to parental mortality seem to differ for black and white parents. These findings have implications for policies and interventions that address increased mortality risk for parents following the death of a child.

Race/Ethnicity, Gender, and Trajectories of Depressive Symptoms Across Early- and Mid-Life Among the Add Health Cohort.

While disparities in depressive symptoms by race/ethnicity and gender have been documented, left unclear is how such status characteristics intersect to influence mental health, particularly across early life and among a diverse set of population subgroups. This study investigates how intra- and inter-individual trends in depressive symptoms unfold across a 30-year span (ages 12-42) and are structured by the intersection of race/ethnicity and gender among White, Black, Hispanic, and Asian American young adults (N = 18,566). Analyses use data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adolescents who have been followed through their fourth decade of life. We draw on Waves I-IV and a representative subsample of the brand new Wave V data. Growth curve models indicated depressive symptoms decreased across adolescence and young adulthood before increasing in the early 30s. Racial/ethnic minorities reported more depressive symptoms than Whites. Women reported more depressive symptoms than men and experienced especially steep increases in their late 30s. Racial/ethnic-gender disparities remained stable with age, except for Hispanic-White disparities among women and Asian American-White disparities among men, which narrowed with age. Overall, findings demonstrate dynamic inequalities across a longer period of the life span than was previously known, as well as heterogeneity in trajectories of poor mental health within and between racial/ethnic-gender groups. Results also suggest that Black and Asian American women experience the highest mental health risks and that interventions for reducing disparities in depressive symptoms should focus on adults in their late 20s/early 30s, particularly women of color.