Structural racism, economic opportunity and racial health disparities: Evidence from U.S. counties.
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SUBMITTER: O'Brien R
PROVIDER: S-EPMC7076092 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Quantitative studies of racial health disparities often use static measures of self-reported race and conventional regression estimators, which critics argue is inconsistent with social-constructivist theories of race, racialization, and racism. We demonstrate an alternative counterfactual approach to explain how multiple racialized systems dynamically shape health over time, examining racial inequities in cardiometabolic risk in the National Longitudinal Study of Adolescent to Adult Health. This framework accounts for the dynamics of time-varying confounding and mediation that is required in operationalizing a "race" variable as part of a social process (racism) rather than a separable, individual characteristic. We decompose the observed disparity into three types of effects: a controlled direct effect ("unobserved racism"), proportions attributable to interaction ("racial discrimination"), and pure indirect effects ("emergent discrimination"). We discuss the limitations of counterfactual approaches while highlighting how they can be combined with critical theories to quantify how interlocking systems produce racial health inequities.
| S-EPMC11251000 | biostudies-literature
Project description:IntroductionStructural 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.MethodsWe 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.ResultsOur 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.ConclusionsThese new measures can be utilized by researchers to relate structural racism to racial health disparities at the county level.
| S-EPMC9744051 | biostudies-literature
Project description:Research has made strides in disaggregating health data among racial/ethnic minorities, but less is known about the extent of diversity among Whites. Using logistic regression modeling applied to data on respondents aged 40+ from the 2008 to 2016 American Community Survey, we disaggregated the non-Hispanic White population by ancestry and other racial/ethnic groups (non-Hispanic Black, non-Hispanic Asian, and Hispanic) by common subgroupings and examined heterogeneity in disability. Using logistic regression models predicting six health outcome measures, we compared the spread of coefficients for each of the large racial/ethnic groups and all subgroupings within these large categories. The results revealed that health disparities within the White population are almost as large as disparities within other racial groups. In fact, when Whites were disaggregated by ancestry, mean health appeared to be more varied among Whites than between Whites and members of other racial/ethnic groups in many cases. Compositional changes in the ancestry of Whites, particularly declines in Whites of western European ancestry and increases in Whites of eastern European and Middle Eastern ancestry, contribute to this diversity. Together, these findings challenge the oft-assumed notion that Whites are a homogeneous group and indicate that the aggregate White category obscures substantial intra-ethnic heterogeneity in health.
| S-EPMC8653968 | biostudies-literature
Project description:ImportanceUnderstanding how structural racism is associated with adolescent mental health is critical to advance health equity.ObjectiveTo assess associations between neighborhood privilege, measured by the Index of Concentration at the Extremes (ICE) and adolescent depressive symptoms, suicidality, and related racial and ethnic disparities.Design, setting, and participantsThis was a retrospective cohort study using electronic health records of adolescents aged 12 to 16 years who attended well-teen visits between 2017 and 2021. Kaiser Permanente Northern California is an integrated health care delivery system serving 4.6 million members. The cohort included 34 252 individuals born singleton at an affiliated facility from January 1, 2005, to December 31, 2009, and who had completed at least 1 mental health screener during a well-teen visit by November 23, 2021.ExposuresAmerican Community Survey 2016 to 2021 5-year estimates were used to calculate ICE scores for adolescents' residential census tract at ages 10 to 11. Three ICE measures were used as proxies of structural racism: racial privilege (ICE-race and ethnicity; hereinafter ICE-race), economic privilege (ICE-income), and combined economic and racial privilege (ICE-income plus race and ethnicity; herinafter ICE-income plus race). ICE scores were categorized into quintiles based on California statewide distributions.Main outcomes and measuresDepressive symptoms and suicidality were assessed through self-report screeners during well-teen visits. Depressive symptoms were considered to be present if patients had a score on the Patient Health Questionnaire-2 of 3 or higher (the tool uses a Likert scale to determine the frequency [0 = not at all; 3 = nearly every day] that they had depressed mood and lack of pleasure in usual activities in the past 2 weeks; responses were summed and dichotomized).ResultsAnalyses included 34 252 adolescents (12-16 years of age; mean [SD] age, 13.7 [0.8] years; 17 557 [51.3%] male, 7284 [21.3%] Asian or Pacific Islander, 2587 [7.6%] Black], 9061 [26.5%] Hispanic, 75 [0.2%] American Indian or Indigenous, 12 176 [35.5%] White, and 3069 [9%] other or unknown). Risks of depressive symptoms and suicidality generally increased with each level of declining neighborhood privilege. Adjusted risk ratios comparing adolescents from neighborhoods with the least to most racial and economic privilege were 1.37 (95% CI, 1.20-1.55) for depressive symptoms and 1.59 (95% CI, 1.23-2.05) for suicidality. Racial disparities between Black and White youth and Hispanic and White youth decreased after adjusting for each ICE measure, and became nonsignificant in models adjusting for ICE-race and ICE-income plus race.Conclusions and relevanceIn this cohort study, lower neighborhood privilege was associated with greater risks of adolescent depressive symptoms and suicidality. Furthermore, adjusting for neighborhood privilege reduced mental health disparities affecting Black and Hispanic adolescents. These findings suggest that efforts to promote equity in adolescent mental health should extend beyond the clinical setting and consider the inequitable neighborhood contexts that are shaped by structural racism.
| S-EPMC10439477 | biostudies-literature
Project description:ObjectiveTo examine racial/ethnic disparities in medical and oral health status, access to care, and use of services in U.S. adolescents.Data sourceSecondary data analysis of the 2003 National Survey of Children's Health. The survey focus was children 0-17 years old.Study designBivariate and multivariable analyses were conducted for white, African American, Latino, Asian/Pacific Islander, American Indian/Alaskan Native, and multiracial adolescents 10-17 years old (n = 48,742) to identify disparities in 40 measures of health and health care.Principal findingsCertain disparities were especially marked for specific racial/ethnic groups and multiracial youth. These disparities included suboptimal health status and lack of a personal doctor or nurse for Latinos; suboptimal oral health and not receiving all needed medications in the past year for African Americans; no physician visit or mental health care in the past year for Asian/Pacific Islanders; overweight/obesity, uninsurance, problems getting specialty care, and no routine preventive visit in the past year for American Indian/Alaska Natives; and not receiving all needed dental care in multiracial youth.ConclusionsU.S. adolescents experience many racial/ethnic disparities in health and health care. These findings indicate a need for ongoing identification and monitoring of and interventions for disparities for all five major racial/ethnic groups and multiracial adolescents.
| S-EPMC3513617 | biostudies-literature
Project description:ObjectiveTo analyze the effect of economic and racial/ethnic residential segregation on breast cancer-specific survival (BCSS) in South Florida, a diverse metropolitan area that mirrors the projected demographics of many United States regions.Summary background dataDespite advances in diagnosis and treatment, racial and economic disparities in BCSS. This study evaluates these disparities through the lens of racial and economic residential segregation, which approximate the impact of structural racism.MethodsRetrospective cohort study of stage I to IV breast cancer patients treated at our institution from 2005 to 2017. Our exposures include index of concentration at the extremes, a measurement of economic and racial neighborhood segregation, which was computed at the census-tract level using American Community Survey data. The primary outcome was BCSS.ResultsRandom effects frailty models predicted that patients living in low-income neighborhoods had higher mortality compared to those living in high-income neighborhoods [hazard ratios (HR): 1.56, 95% confidence interval (CI): 1.23-2.00]. Patients living in low-income non-Hispanic Black and Hispanic neighborhoods had higher mortality compared to those living in high-income non-Hispanic White (NHW) neighborhoods (HR: 2.43, 95%CI: 1.72, 3.43) and (HR: 1.99, 95%CI: 1.39, 2.84), after controlling for patient characteristics, respectively. In adjusted race-stratified analysis, NHWs living in low-income non-Hispanic Black neighborhoods had higher mortality compared to NHWs living in high-income NHW neighborhoods (HR: 4.09, 95%CI: 2.34-7.06).ConclusionsExtreme racial/ethnic and economic segregation were associated with lower BCSS. We add novel insight regarding NHW and Hispanics to a growing body of literature that demonstrate how the ecological effects of structural racism-expressed through poverty and residential segregation-shape cancer survival.
| S-EPMC9102835 | biostudies-literature
Project description:OBJECTIVE:To understand the role of county characteristics in the growing divide between rural and urban mortality from 1980 to 2010. DATA SOURCE:Age-adjusted mortality rates for all U.S. counties from 1980 to 2010 were obtained from the CDC Compressed Mortality File and combined with county characteristics from the U.S. Census Bureau, the Area Health Resources File, and the Inter-University Consortium for Political and Social research. STUDY DESIGN:We used Oaxaca-Blinder decomposition to assess the extent to which rural-urban mortality disparities are explained by observed county characteristics at each decade. PRINCIPAL FINDINGS:Decomposition shows that, at each decade, differences in rural/urban characteristics are sufficient to explain differences in mortality. Furthermore, starting in 1990, rural counties have significantly lower predicted mortality than urban counties when given identical county characteristics. We find changes in the effect of characteristics on mortality, not the characteristics themselves, drive the growing mortality divide. CONCLUSIONS:Differences in economic and demographic characteristics between rural and urban counties largely explain the differences in age-adjusted mortality in any given year. Over time, the role these characteristics play in improving mortality has increased differentially for urban counties. As characteristics continue changing in importance as determinants of health, this divide may continue to widen.
| S-EPMC6232410 | biostudies-literature
Project description:Building on nascent literature examining the health-related effects of vicarious structural racism, we examined indirect exposure to the Flint Water Crisis (FWC) as a predictor of birth outcomes in Michigan communities outside of Flint, where residents were not directly exposed to lead-contaminated water. Using linear regression models, we analyzed records for all singleton live births in Michigan from 2013 to 2016, excluding Flint, to determine whether birth weight (BW), gestational age (GA), and size-for-gestational-age (SzGA) decreased among babies born to Black people, but not among babies born to White people, following the highly publicized January 2016 emergency declaration in Flint. In adjusted regression models, BW and SzGA were lower for babies born to both Black and White people in the 37 weeks following the emergency declaration compared to the same 37-week periods in the previous 3 years. There were no racial differences in the association of exposure to the emergency declaration with BW or SzGA. Among infants born to Black people, GA was 0.05 weeks lower in the 37-week period following the emergency declaration versus the same 37-week periods in the previous 3 years (95% CI: -0.09, -0.01; p = 0.0177), while there was no change in GA for infants born to White people following the emergency declaration (95% CI: -0.01, 0.03; p = 0.6962). The FWC, which was widely attributed to structural racism, appears to have had a greater impact, overall, on outcomes for babies born to Black people. However, given the frequency of highly publicized examples of anti-Black racism over the study period, it is difficult to disentangle the effects of the FWC from the effects of other racialized stressors.
| S-EPMC9486078 | biostudies-literature
Project description:IntroductionThere is a growing body of literature illustrating the negative impact of racial bias on clinical care. Despite the growing evidence, medical schools have been slow to make necessary curricular changes. Most attempts to educate on racial health disparities focus on transferring knowledge and do not foster the development of skills to understand one's own bias or address bias and racism in the clinical setting. To address this, we developed a small-group, case-based curriculum for rising third-year medical students.MethodsThis session was designed to be delivered in concurrently run, 1-hour small-group sessions, with each small group ideally comprising no more than 10 students and one facilitator. The curriculum was integrated into an existing 3-week clerkship preparation course for 122 students during the 2015-2016 academic year. The session materials include a facilitator's guide and three cases for discussion.ResultsThe session was evaluated using a 6-point Likert scale (1 = poor, 6 = exceptional). Students rated this session overall a 4.28 out of 6 (N = 79). Qualitative feedback varied, with the most common theme focusing on the need for more time to discuss this topic.DiscussionThough one session before starting clinical clerkships is not enough to maintain the practice of sustained critical thinking regarding bias and racism in clinical medicine, this session is a starting point for curriculum developers looking to use an evidence-based approach to racial bias in clinical care.
| S-EPMC6440415 | biostudies-literature
Project description:ObjectiveThis 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.MethodsCDC 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.ResultsResults 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.DiscussionFindings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains.
| S-EPMC9723349 | biostudies-literature