PURPOSE Although we know that racial and ethnic minorities are more likely to have mistrust in the health care system, very limited knowledge exists on correlates of such medical mistrust among this population. In this study, we explored correlates of medical mistrust in a representative sample of adults. METHODS We analyzed cross-sectional study data from the Survey of California Adults on Serious Illness and End-of-Life 2019. We ascertained race/ethnicity, health status, perceived discrimination, demographics, socioeconomic factors, and medical mistrust. For data analysis, we used multinomial logistic regression models. RESULTS Analyses were based on 704 non-Hispanic Black adults, 711 Hispanic adults, and 913 non-Hispanic White adults. Racial/ethnic background was significantly associated with the level of medical mistrust. Adjusting for all covariates, odds of reporting medical mistrust were 73% higher (adjusted odds ratio [aOR] = 1.73; 95% CI, 1.15-2.61, P <.01) and 49% higher (aOR = 1.49; 95% CI, 1.02-2.17, P <.05) for non-Hispanic Black and Hispanic adults when compared with non-Hispanic White adults, respectively. Perceived discrimination was also associated with higher odds of medical mistrust. Indicating perceived discrimination due to income and insurance was associated with 98% higher odds of medical mistrust (aOR = 1.98; 95% CI, 1.71-2.29, P <.001). Similarly, the experience of discrimination due to racial/ethnic background and language was associated with a 25% increase in the odds of medical mistrust (aOR = 1.25; 95% CI, 1.10-1.43; P <.001). CONCLUSIONS Perceived discrimination is correlated with medical mistrust. If this association is causal, that is, if perceived discrimination causes medical mistrust, then decreasing such discrimination may improve trust in medical clinicians and reduce disparities in health outcomes. Addressing discrimination in health care settings is appropriate for many reasons related to social justice. More longitudinal research is needed to understand how complex societal, economic, psychological, and historical factors contribute to medical mistrust. This type of research may in turn inform the design of multilevel community- and theory-based training models to increase the structural competency of health care clinicians so as to reduce medical mistrust.

The health effects of economic resources (eg, education, employment, and living place) and psychological assets (eg, self-efficacy, perceived control over life, anger control, and emotions) are well-known. This article summarizes the results of a growing body of evidence documenting Blacks’ diminished return, defined as a systematically smaller health gain from economic resources and psychological assets for Blacks in comparison to Whites. Due to structural barriers that Blacks face in their daily lives, the very same resources and assets generate smaller health gain for Blacks compared to Whites. Even in the presence of equal access to resources and assets, such unequal health gain constantly generates a racial health gap between Blacks and Whites in the United States. In this paper, a number of public policies are recommended based on these findings. First and foremost, public policies should not merely focus on equalizing access to resources and assets, but also reduce the societal and structural barriers that hinder Blacks. Policy solutions should aim to reduce various manifestations of structural racism including but not limited to differential pay, residential segregation, lower quality of education, and crime in Black and urban communities. As income was not found to follow the same pattern demonstrated for other resources and assets (ie, income generated similar decline in risk of mortality for Whites and Blacks), policies that enforce equal income and increase minimum wage for marginalized populations are essential. Improving quality of education of youth and employability of young adults will enable Blacks to compete for high paying jobs. Policies that reduce racism and discrimination in the labor market are also needed. Without such policies, it will be very difficult, if not impossible, to eliminate the sustained racial health gap in the United States.

Background: Despite the wealth of literature on social determinants of mental health, less is known about the intersection of these determinants. Using a nationally representative sample, this study aimed to study separate, additive, and multiplicative effects of race, gender, and SES on the risk of major depressive episode (MDE) among American adults. Methods: National Survey of American Life (NSAL) included 3570 African Americans and 891 Whites. Race, gender, socioeconomic status (SES, household income, education, employment, and marital status) were independent variables. Twelve-month MDE was measured by the Composite International Diagnostic Interview (CIDI). A series of logistic regressions were used to analyze the data. Results: In the pooled sample, race and household income, but not gender, education, employment, and marital status were associated with 12-month MDE. Gender interacted with the effects of income on MDE, suggesting that the association between household income and MDE is larger for women than men. In race by gender specific models that controlled for other SES indicators, high income was protective for White women, education was protective for African American women, and high income became a risk factor for African American men. High income did not show a risk effect for African American men in the absence of other SES indicators. Conclusions: Findings suggest that race, gender, and class interact on how SES indicators, such as education or income, become a protective or a risk factor for MDE among American Adults. When the outcome is MDE, White women benefit more from income, African American women gain from education, however, the residual effect of high income (above and beyond education, employment, and marital status) may become a risk factor for African American men.