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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., (© 2023 Milbank Memorial Fund.)

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.

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.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study examines how the intersecting consequences of race-ethnicity, gender, socioeconomics status (SES), and age influence health inequality. We draw on multiple-hierarchy stratification and life course perspectives to address two main research questions. First, does racial-ethnic stratification of health vary by gender and/or SES? More specifically, are the joint health consequences of racial-ethnic, gender, and socioeconomic stratification additive or multiplicative? Second, does this combined inequality in health decrease, remain stable, or increase between middle and late life? We use panel data from the Health and Retirement Study (N = 12,976) to investigate between- and within-group differences in in self-rated health among whites, blacks, and Mexican Americans. Findings indicate that the effects of racial-ethnic, gender, and SES stratification are interactive, resulting in the greatest racial-ethnic inequalities in health among women and those with higher levels of SES. Furthermore, racial-ethnic/gender/SES inequalities in health tend to decline with age. These results are broadly consistent with intersectionality and aging-as-leveler hypotheses. [ABSTRACT FROM AUTHOR]

Racial-ethnic disparities in static levels of health are well documented. Less is known about racial-ethnic differences in age trajectories of health. The few studies on this topic have examined only single health outcomes and focused on black-white disparities. This study extends prior research by using a life course perspective, panel data from the Health and Retirement Study, and multilevel growth curve models to investigate racial-ethnic differences in the trajectories of serious conditions and functional limitations among blacks, Mexican Americans, and whites. We test three hypotheses on the nature of racial-ethnic disparities in health across the life course (aging-as-leveler, persistent inequality, and cumulative disadvantage). Results controlling for mortality selection reveal that support for the hypotheses varies by health outcome, racial-ethnic group, and life stage. Controlling for childhood socioeconomic status, adult social and economic resources, and health behaviors reduces but does not eliminate racial-ethnic disparities in health trajectories. [ABSTRACT FROM AUTHOR]