Racism

ImportanceExamining how discrimination is associated with mental health across different demographic groups can guide efforts to improve mental well-being.ObjectivesTo analyze associations between discrimination and mental health and explore how these associations may vary by race and ethnicity and sex.Design, setting, and participantsCross-sectional data of 29 522 adults weighted to represent a population of 258 237 552 US adults from the 2023 US National Health Interview Survey were analyzed.ExposuresExposure to discrimination was measured using the Everyday Discrimination Scale, which assesses frequency of being treated with less courtesy, receiving poor service, being treated as not smart, being feared, and experiencing harassment. A summative scale and a nominal variable (none, low, and high) measured degree and levels of discrimination exposure.Main outcomes and measuresOutcomes included depression (measured with the Patient Health Questionnaire-2 scale) and anxiety (measured with the Generalized Anxiety Disorder-2 scale), with scores of 3 or greater indicating positive screening results for each scale. Multinomial logistic regression analyses examined associations of interest and tests of interaction explored effect modification by race and ethnicity and sex.ResultsAmong a sample of 29 522 adults weighted to represent a population of 258 237 552 US adults (mean age, 48.1 years [95% CI, 47.8-48.4 years]; 51.1% female; 17.5% Hispanic or Latino, 2.5% multiracial or other, 6.2% non-Hispanic Asian, 11.6% non-Hispanic or non-Latino Black, and 62.2% non-Hispanic or non-Latino White), each unit increase in exposure to discrimination was associated with increased odds of positive screening results for depression (odds ratio [OR], 1.15 [95% CI, 1.12-1.17]), anxiety (OR, 1.14 [95% CI, 1.12-1.16]), and both depression and anxiety (OR, 1.19 [95% CI, 1.16-1.21]). Compared with no exposure to discrimination, low and high exposure to discrimination were associated with increased odds of positive screening results for depression (low exposure: OR, 2.20 [95% CI, 1.77-2.72]; high exposure: OR, 5.39 [95% CI, 3.61-8.04]), anxiety (low exposure: OR, 1.97 [95% CI, 1.66-2.33]; high exposure: OR, 4.98 [95% CI, 3.59-6.91]), and both depression and anxiety (low exposure: OR, 2.60 [95% CI, 2.13-3.18]; high exposure: OR, 8.84 [95% CI, 6.44-12.14]). Associations between discrimination and positive screening results for depression alone (F4,607 = 3.35; P = .01) and between discrimination and positive screening results for both depression and anxiety (F4,607 = 2.80; P = .03) varied by race and ethnicity. Associations of interest did not differ by sex.Conclusions and relevanceFindings of this cross-sectional study suggest an association between discrimination and mental health across US adults, emphasizing the need for further evaluation and increased awareness of how these associations may vary across different demographic groups.

BackgroundStructural racism is increasingly recognized as a fundamental cause of health inequities. It operates through laws, institutional policies, and systemic practices that disproportionately disadvantage racially and ethnically minoritized populations. Although the body of evidence on structural racism and health is expanding, much of it remains fragmented across disciplines and sectors. This scoping review synthesized peer-reviewed research by examining the pathways through which structural racism affects health, the most frequent outcomes, and the interventions and policies implemented to address these disparities.MethodsThe review adhered to frameworks by Arksey and O'Malley, Levac et al., and the Joanna Briggs Institute. Six databases (MEDLINE, Embase, Web of Science, CINAHL, PsycINFO, and Scopus) were searched for English-language, peer-reviewed studies published before February 15, 2025, examining structural, systemic, or institutional racism in relation to health. Two reviewers independently screened and extracted data, and findings were analyzed using thematic synthesis.ResultsEighty-three studies met the inclusion criteria, covering healthcare, housing, the criminal legal system, environmental exposures, and other intersecting sectors. Structural racism was consistently associated with adverse outcomes in maternal and infant health, cancer, cardiovascular disease, HIV care, mental health, and COVID-19. Key mechanisms included redlining, residential segregation, carceral practices, discriminatory clinical treatment, and environmental injustice. Intersectional burdens were most pronounced among Black, Indigenous, LGBQ, immigrant, and socioeconomically marginalized groups. Although some promising interventions were identified, including culturally tailored perinatal care, community health worker models, and equity-focused quality improvement, few had been rigorously evaluated or embedded in broader structural policy changes.ConclusionStructural racism was found to operate across institutional and societal systems to perpetuate health disparities. While targeted interventions show promise, significant gaps remain in the development and implementation of scalable, evidence-based reforms. To achieve health equity, public health strategies must prioritize cross-sectoral actions for confronting and dismantling the structural conditions that maintain racial injustice. This synthesis highlights the urgent need for scalable policy reforms and structural accountability measures across sectors.

ImportanceThe prevalence of cardiovascular disease differs substantially across neighborhoods. However, few studies have examined the contribution of neighborhood-level structural racism to inequities in cardiovascular health.ObjectiveTo investigate the association between neighborhood-level manifestations of structural racism and the prevalence of cardiovascular clinical and behavioral risk factors and cardiovascular diseases.Design, setting, and participantsThis cross-sectional study consisted of 71 915 US census tracts. The Structural Racism Effect Index (SREI) was appended to the 2020 Centers for Disease Control and Prevention's PLACES dataset. Race and ethnicity were self-reported and obtained from the 2019 American Community Survey 5-year estimates. Data analysis was conducted from June 2024 to October 2024.ExposureThe SREI is a composite score of census tract measures within 9 domains affected by structural racism (built environment, criminal justice, education, employment, housing, income and poverty, social cohesion, transportation, and wealth). The SREI scores were categorized into distribution-based quintiles, where higher quintiles represented greater neighborhood structural racism.Main outcomes and measuresNeighborhood-level prevalence of cardiovascular clinical (high blood pressure, high cholesterol, obesity, and diabetes) and behavioral (current cigarette smoking and no leisure-time physical activity) risk factors and cardiovascular disease (coronary heart disease and stroke). Multilevel-linear mixed models, adjusting for confounders, were used to estimate adjusted prevalence rate ratios (aPRR).ResultsAmong 71 915 census tracts, neighborhoods in the highest quintiles of structural racism were more likely than neighborhoods in the lowest quintile to be in the southern region (quintile 1, 19.9% vs quintile 5, 56.8%). The proportion of the population that was Black was largest in neighborhoods in the highest quintile of structural racism (quintile 1, 2.2% vs quintile 5, 23.0%). After adjustment, compared with the lowest quintile of structural racism, the highest quintile had significantly higher prevalence rates of cardiovascular clinical risk factors, including high blood pressure (aPRR, 1.37; 95% CI, 1.37-1.38), obesity (aPRR, 1.40; 95% CI, 1.39-1.40), and diabetes (aPRR, 1.80; 95% CI, 1.79-1.81). Similarly, for cardiovascular behavioral risk factors, the highest quintile of structural racism had significantly higher prevalence rates of current cigarette smoking (aPRR, 1.84; 95% CI, 1.83-1.85) and no leisure-time physical activity (aPRR, 1.88; 95% CI, 1.87-1.89). Additionally, for cardiovascular diseases, the highest quintile of structural racism had higher prevalence rates of coronary heart disease (aPRR, 1.80; 95% CI, 1.79-1.82) and stroke (aPRR, 1.99; 95% CI, 1.98-2.00).Conclusions and relevanceIn this cross-sectional study, structural racism was associated with inequities in neighborhood cardiovascular health, highlighting opportunities for place-based prevention efforts.

The aim of the study was to clarify how ethnic identity may impact poor mental health outcomes related to discrimination among Arab American adults in Southeast Michigan, USA. 286 respondents completed a health attitudes and behaviors survey. We used structural equation modeling with path and multi-group analyses to examine moderation effects of ethnic identity on the relationship between discrimination and depression and anxiety, and further moderation based on gender. Ethnic identity positively buffered against depression and anxiety associated with discrimination. In the subgroup analysis, ethnic identity was protective for female participants, though not male participants. These findings provide evidence for ethnic identity as a buffer between discrimination and poor mental health among Arab American adults. Mechanisms may include feelings of belonging and social support. The stronger effects for women may be due to their role of transmitting cultural and religious traditions. Future interventions should incorporate ethnic identity as a protective feature for mental health.