Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: J Health Soc Behav. 2018 Dec;59(4):466–485. doi: 10.1177/0022146518814251

Stress and the Mental Health of Populations of Color:Advancing Our Understanding of Race-related Stressors

David R Williams 1,2,3
PMCID: PMC6532404  NIHMSID: NIHMS1012456  PMID: 30484715

Abstract

This article provides an overview of research on race-related stressors that can affect the mental health of socially disadvantaged racial and ethnic populations. It begins by reviewing the research on self-reported discrimination and mental health. Although discrimination is the most studied aspect of racism, racism can also affect mental health through structural/institutional mechanisms and racism that is deeply embedded in the larger culture. Key priorities for research include more systematic attention to stress-proliferation processes due to institutional racism, the assessment of stressful experiences linked to natural or manmade environmental crises, documenting and understanding the health effects of hostility against immigrants and people of color, cataloguing and quantifying protective resources, and enhancing our understanding of the complex association between physical and mental health.

Keywords: race, stress, racial discrimination, racism, mental health, mental disorders


There is considerable complexity in the association between race and mental health. The patterning of racial differences in mental health appear to vary by indicator of mental health status. For several decades, research has shown that while blacks (or African Americans) often have higher rates of psychological distress than whites, some studies also find that whites have elevated levels of depressive and anxiety symptoms compared to blacks (Dohrenwend 1969, Vega and Rumbaut 1991). Blacks tend to report lower levels of psychological well-being on cognitively focused measures such as life satisfaction and happiness (Hughes and Thomas 1998), but also report higher levels of flourishing than whites (Keyes 2007). Flourishing refers to the absence of mental disorders and the presence of high levels of psychological well-being. With regards to defined psychiatric disorders, Hispanics (or Latinos),with the exception of Puerto Ricans, blacks, and Asians all have lower rates of lifetime and past year psychiatric disorders than whites (Miranda et al. 2008). However, when blacks and Latinos experience mental illness, their episodes tend to be are more severe, persist for longer periods of time, and are more debilitating than for any other race/ethnic group (Breslau et al. 2005). For example, in the national Study of American Life (NSAL), African Americans and Caribbean Blacks had lower current and lifetime rates of major depression than whites (Williams et al. 2007). However, once depressed, both black groups were more likely than whites to be chronically or persistently depressed, have more severe symptoms, higher levels of impairment, and not receive treatment.

We do not currently have a clear sense of either the determinants of the levels of mental health status for the major racial/ethnic groups in the U.S. or the patterning of the various indicators of mental health status for all of these minority populations. However, there is broad agreement that social contextual factors that reflect exposure to chronic and acute stressors linked to the living and working conditions of these populations play a role in shaping their mental health risk (Pearlin et al. 2005, Turner 2013, Vega and Rumbaut 1991). Historically, the assessment of stressful life experiences was heavily driven by the stressors experienced by middle class white males. There has been enormous scientific interest and effort in recent decades in conceptualizing and measuring the stressors that may be distinctive to, or more prevalent among, socially stigmatized racial and ethnic minority populations and how these stressors can affect their physical and mental health. These stressors are viewed as interconnected and driven by exposures in social contexts, structures, and roles (Pearlin et al. 1981). This article provides an overview of research that suggests that the mental health of racial/ethnic socially stigmatized populations is embedded in these larger contextual factors. It begins with an overview of the research on racial discrimination and health and then situates this research in the need to more clearly document the other pathways by which racism can also adversely affect mental health.

Racial Discrimination and Mental Health

In recent decades, research on racial discrimination and mental health has been a rapidly growing area of scientific investigation. However, racial discrimination is best understood as one of the pathways by which racism affects health (Williams and Mohammed 2013). The term “racism” refers to an organized system that is premised on the categorization and ranking of societal groups into races (Bonilla-Silva 1996). The dominant group devalues, disempowers, and differentially allocates desirable societal opportunities and resources to racial groups categorized as inferior. Supporting and buttressing the structure of racism is an ideology that is deeply embedded in the culture of the society, that provides the rationale for the ranking of groups. This leads to the development of negative attitudes and beliefs toward racial out-groups (prejudice and stereotypes), and differential treatment (discrimination) of these groups by both individuals and social institutions. There is a large body of high quality scientific evidence that documents the persistence of racial discrimination in employment, housing, banking and other commercial transactions, and a broad range of domains of life (Pager and Shepherd 2008).

Targets of discrimination are aware of at least some of these incidents of bias and they are often experienced as stressors that can adversely affect mental and physical health. Historically, such experiences had not been included in the typical scales used to assess acute and chronic stress. Considerable evidence now suggests that these experiences are commonplace in contemporary society. For example, a recent national survey assessed discrimination both as acute major experiences (e.g., not being hired for a job or being unfairly harassed by the police) and as chronic, minor experiences captured by the Everyday Discrimination scale (e.g., being treated with less courtesy and respect than others and receiving poorer service in restaurants and stores) (American Psychological Association 2016). This study found that 69% of American adults reported experiencing at least one experience of discrimination and 61% reported experiencing everyday discrimination. Importantly these experiences were patterned by race. For example, 35% of African Americans and Native Americans, 25% of Latinos, 22% of Asians, and 18% of whites reported that they had had an experience of being unfairly not being hired for a job. Similarly, 34% of American Indians, 23% of blacks, 19% of Hispanics, and 11% of Asians and non-Hispanic whites reported that they experienced Everyday Discrimination almost every day or at least once a week (American Psychological Association 2016).

Early Empirical Research on Racial Discrimination

Early studies of discrimination and health found that self-report measures of discrimination were inversely associated with good mental and physical health. Reviews of this early literature revealed that most studies were cross-sectional, most assessed mental health outcomes or other self-reported indicators of health, and most focused on African American adults in the U.S. (Krieger 1999, Williams, Neighbors and Jackson 2003). Although these findings were consistent with the notion that experiences of discrimination were neglected psychosocial stressors, there were serious scientific limitations. There was the possibility of shared response bias between self-reported measures of discrimination and self-reported measures of health in cross-sectional analyses. It was possible that mentally ill individuals could be (mis-)perceiving discrimination that did not even exist. There was also concern that key psychological confounding factors such as social desirability, negative affect, neuroticism, or self-esteem could drive the observed associations.

Subsequent research has addressed these methodological concerns. An important early study analyzed longitudinal data from 779 black adults in the National Study of Black Americans (NSBA) (Brown et al. 2000). This study found that psychological distress and diagnosed major depression at Wave 2 (1987–1988) were unrelated to reports of discrimination at Wave 3 (1988–1989), indicating that poor mental health did not predict subsequent reports of discrimination. The study also found that racial discrimination at Wave 2 was positively associated with psychological distress, but not depression, at Wave 3. Although the majority of studies of discrimination and health are still cross-sectional, there are a growing number of prospective studies that link changes over time in discrimination to increases in symptoms of distress and depression (Lewis, Cogburn and Williams 2015, Paradies et al. 2015, Pascoe and Richman 2009, Schulz et al. 2006, Wallace, Nazroo and Bécares 2016, Williams and Mohammed 2009). Personality traits are not routinely included as potential confounders in studies of self-reported discrimination. However, several studies have found that the association between discrimination and health remains robust after adjustment for personality characteristics such as hostility, neuroticism, social desirability, negative affect, and trait anxiety (Lewis, Cogburn and Williams 2015, Williams and Mohammed 2009). Research has also documented that discrimination is associated with a broad range of disease states (e.g., cancer, cardiovascular disease, diabetes) and preclinical indicators of disease (e.g., allostatic load, inflammation, shorter telomere length, BMI, incident obesity, coronary artery calcification, cortisol dysregulation, and oxidative stress) that are not assessed via self-report (Lewis, Cogburn and Williams 2015, Paradies et al. 2015).

Recent Empirical Research on Discrimination and Mental Health - Adults

A recent review documented that discrimination is positively associated with measures of depression and anxiety symptoms and psychological distress, as well as, with defined psychiatric disorders (Lewis, Cogburn and Williams 2015). For example, in the NSAL, among African American and Caribbean Black adults 55 years and older, positive but small associations were evident between both racial and non-racial every day discrimination and the risk of any lifetime (LT) disorder, as well as LT mood, and anxiety disorders. Discrimination was also associated with a small increased risk of depressive symptoms and serious psychological distress (Mouzon et al. 2017). Similarly, in the National Latino and Asian American Study (NLAAS), Everyday Discrimination was associated, in multivariate models, with increased odds of any DSM-IV disorder (Odds Ratio [OR] = 1.90), depressive disorder (OR=1.72), and anxiety disorder (OR=2.24) among Asian Americans (Gee et al. 2007). Discrimination was also associated with comorbidity. Compared to persons with no disorders, Everyday Discrimination was associated with a 2-fold risk of having two disorders and a 3-fold risk of having three or more disorders. This pattern in the overall sample of Asian Americans was similar to that observed among the subset who were immigrants. In the NLAAS and NSAL national studies, among Latino, Asian, African Americans, and Caribbean Black adults, Everyday Discrimination was positively associated with both 12-month (OR=4.59) and lifetime psychotic experiences (OR=4.27) (Oh et al. 2014). This pattern was evident for visual (OR=3.75) and auditory (OR=5.65) hallucinatory experiences as well as for delusional ideation (OR=7.21).

Discrimination has also been associated with increased risk of mental disorders in international contexts. For example, in the national South Africa Study of Stress and Health, acute and chronic nonracial discrimination were moderately associated with elevated risk of 12-month and lifetime rates of any disorder, even after adjustment for other stressors and potentially confounding psychological factors (Moomal et al. 2009). For example, chronic everyday non-racial discrimination was associated with increased risk of lifetime mood (OR=1.68), anxiety (OR=1.94), and substance use disorders (OR=1.72) in the fully adjusted models. The UK Household Longitudinal Study also assessed discrimination in four domains and related those exposures to changes in mental health from wave one to wave three (Wallace, Nazroo and Bécares 2016). It found a dose-response relationship between the number of experiences of discrimination with the degree of deterioration in mental health over time, as measured by a scale of psychological distress. The study found that those participants who had reported only one prior experience of discrimination had greater deterioration in mental health (1.93 points lower on a scale of psychological distress) than those who reported none. Those who reported two or more experiences of discrimination at one prior time point had even greater mental health deterioration (2.98 points lower). The level of mental health decline further increased for those who reported two or more experiences of discrimination at one time point and one incident at the other time point (5.65 points lower), with the greatest degree of mental health deterioration evident among those who reported two or more experiences of discrimination at both time points (8.26 points lower).

Based on in-depth qualitative interviews, Fleming and colleagues conclude that incidents of racial discrimination matter so profoundly for mental health because they are experiences of exclusion that trigger feelings of a ‘defilement of self’ (Fleming, Lamont and Welburn 2012). This includes feelings of being over-scrutinized, overlooked, underappreciated, misunderstood and, disrespected. Importantly, experiences of discrimination violate cultural expectations of fairness, morality, dignity, and rights. Pearlin and colleagues (2005) had earlier argued that stressors linked to race may be especially pathogenic because they could be perceived as a direct attack on an individual’s identity.

Most studies of discrimination and health have not explored the role of discrimination in contributing to racial disparities in health. However, a few studies in the U.S. and internationally have documented that perceived discrimination makes an incremental contribution over SES in accounting for racial/ethnic inequities in mental health and self-reported measures of physical health. This is evident for measures of distress and global measures of mental and physical health in community and national studies in the U.S. (Pole et al. 2005, Ren, Amick and Williams 1999, Williams et al. 1997). This has also been observed, in national data from New Zealand, for Maori-European disparities on a global measure of mental health and three other indicators of self-reported health (Harris et al. 2006). A similar pattern has been documented in Australia for Aboriginal–non Aboriginal variations in self- reported mental and physical health (Larson et al. 2007). A national study in South Africa also found that experiences of discrimination were positively related to psychological distress and reduced the residual association between race and distress after adjustment had been made for SES (Williams et al. 2008).

Empirical Research on Discrimination and Mental Health – Children and Adolescents

Research reveals that exposure to discrimination and its negative consequences for mental health begins early in life. A review of research of discrimination among children and adolescents found 121 studies (and 461 outcomes) that had examined the association between discrimination and health among persons zero to 18 years old (Priest et al. 2013). Exposure to discrimination predicted worse mental health (e.g., anxiety and depression symptoms) in 76% of the 127 associations examined. Similarly, discrimination was inversely associated with positive mental health (e.g., resilience, self-worth, self-esteem) in 62% of the 108 associations examined. As in studies of adults, most studies are cross-sectional, but there is also an emerging body of longitudinal research. For example, a study in rural Georgia of 714 black adolescents, aged 10–12 at baseline, assessed their exposure to discrimination three times over the next five years (Brody et al. 2006 ). It found that increases in racial discrimination were associated with conduct problems and depressive symptoms, with the association between discrimination and conduct problems stronger for boys but no gender difference evident for depressive symptoms.

Several studies in this review documented that parental exposure to discrimination can adversely affect the child. For example, a study of black adolescents found that parental racial discrimination was associated with symptoms of anxiety and depression in the child, independent of the child’s experiences of racial discrimination (Gibbons et al. 2004). In this study, parental experiences of discrimination were also associated with substance use in children that was mediated by both parental and child anxiety and depression (Gibbons et al. 2004). Another study of 10 and 11 year olds found that mother reports of racial discrimination were associated with poor parental mental health, which in turn adversely affected parenting behaviors and parenting satisfaction (Murry et al. 2001).

A large study in the U.K., the Millennium Cohort Study, examined, longitudinally, the pathways by which maternal discrimination among Ethnic Minority mothers can affect four domains of social and emotional behavior in children—conduct, peer problems, emotional symptoms, and hyperactivity (Becares, Nazroo and Kelly 2015). The study found that adjusted for socio-demographic factors and mother’s mental health in the year 2006, there were three pathways by which maternal racial/ethnic discrimination in 2006 were associated with children’s social and emotional behavior in 2012. First, maternal discrimination in 2006 directly predicted child outcomes in 2012. In addition, mother’s discrimination in 2006 was associated with poorer maternal mental health and harsh parenting practices in 2008, and both of these factors were associated with child social and emotional development in 2012.

A recent systematic review documented how children can often be the unintended victims of discrimination because of their links to other individuals (Heard-Garris et al. 2018). This review found 30 studies that had examined the association between vicarious discrimination (secondhand exposure to racism) and child health. Most of the studies were longitudinal and had been published after 2011. Two-thirds of the studies focused on African Americans in urban areas of the U.S., but there were also studies of Asian Americans, Hispanics, whites, and indigenous groups in Australia, New Zealand, and the U.S. Socio-emotional and mental health outcomes were most frequently assessed, and the review found that in almost half of the examined associations, indirect exposure to racism by children was inversely related to child health. There is clearly a need for sustained research attention that would comprehensively characterize both direct and indirect exposure to discrimination and document how these experiences accumulate over the life course to affect the onset and course of illness (Gee, Walsemann and Brondolo 2012, Heard-Garris et al. 2018). Greater attention needs to be given in future research to identifying sensitive periods, the interdependence in exposures among persons, latency periods, stress proliferation processes, and effects that may be linked to historical period and birth cohort (Gee, Walsemann and Brondolo 2012).

Vigilance and the Threat of Exposure to Discrimination

Discrimination, like other stressors, can affect health through both actual exposure and the threat of exposure. Heightened vigilance refers to living in a state of psychological arousal in order to monitor, respond to, and attempt to protect oneself from threats linked to potential experiences of discrimination and other dangers in one’s immediate environment (Williams, Lavizzo-Mourey and Warren 1994). The Heightened Vigilance scale was developed as a companion measure to the Everyday Discrimination scale and seeks to capture efforts to protect oneself from discrimination and minimize exposure (Williams et al. 1997) Studies with this scale or abbreviated versions of it highlight the importance of assessing the health consequences of race-related vigilance. Research reveals that race-related vigilance is positively associated with large arterial elasticity (a preclinical index of cardiovascular function) for African American boys but not girls (Clark, Benkert and Flack 2006), the risk of sleep difficulties and racial disparities in sleep (Hicken et al. 2013), the odds of hypertension for blacks and Hispanics but not Whites and the racial gap in hypertension (Hicken et al. 2014), and waist circumference and BMI among black women (Hicken, Lee and Hing 2018).

Vigilance also matters for mental health. A study of Baltimore adults found that blacks have higher levels of heightened vigilance than whites, and vigilance was positively associated with depressive symptoms and contributed to the black-white disparity in depression (LaVeist et al. 2014). Similarly, Lindstrom (2008) found that a single-item measure of anticipatory ethnic discrimination was associated with lower levels of psychological health in a national sample of adults in Sweden. A study of Latino college students also found that the anticipation of being discriminated against led to greater concern and threat emotions before an encounter with a potential perpetrator of discrimination and more stress and greater cardiovascular responses after the encounter (Sawyer et al. 2012). Our current understanding is limited with regard to all of the contexts and conditions that give rise to perceptions of threat, the optimal ways to assess vigilance with regards to discrimination, and the ways in which vigilance combines with other risk factors to affect mental health.

Discrimination and Other Stressors

Discrimination must be understood and assessed within the context of other mechanisms of racism. Social disadvantages and stressors often cluster in people and places. In addition, institutional/structural racism can give rise to what Pearlin and colleagues (2005) called stress proliferation processes, in which an initial stressor can initiate or exacerbate stressors in other domains of life. Thus, living and working conditions created by racism can initiate and sustain differential exposure to a broad range of stressors that, at face value, may not appear to be related to racism. These can include “traditional stressors” such as violence, criminal victimization, neighborhood conditions, financial stress, and relationship stress. According to Pearlin and colleagues, these are the “serious stressors,” patterned by social disadvantage, that capture major hardships, conflicts, and disruptions in life, and are especially virulent when they are chronic and recur in major social roles and domains (Pearlin et al. 2005).

An example of the comprehensive assessment of stressors comes from the Chicago Community Adult Health Study. This study measured stressors in eight domains that reflect key arenas in which people operate (e.g., home, work, neighborhood) and major roles/statuses they occupy (Sternthal, Slopen and Williams 2011). The stressors included a brief battery of acute life events (lifetime traumatic experiences and recent life events), childhood adversity, chronic stressors in relationships, finances, neighborhoods and at work, and acute and chronic life experiences of discrimination (Everyday Discrimination, discrimination at work and major experiences of discrimination). Blacks and American-born Hispanics tended to have higher prevalence of each of the individual classes of stressors, and greater clustering of multiple stressors, compared to whites. The analyses found that each stressor was positively associated with depressive symptoms, in models that considered all eight stressors simultaneously. Moreover, in models that counted the number of domains in which an individual scored high on stress, the study found a graded association between the number of stressors and an increase in depressive symptoms. In addition, the study found that the association between SES (especially income) and depressive symptoms was reduced substantially after coefficients for stress were added to the model, suggesting that stress exposure operates apart from SES but also through exposure to stressors that accompany low SES (Sternthal, Slopen and Williams 2011).

However, research attention is needed to fully characterize the ways in which institutional mechanisms of racism shape exposure to stressors. For example, residential racial segregation is recognized as one of the most striking and consequential legacies of institutional racism that has pervasive negative effects on living conditions and health (Williams and Collins 2001). It is a major contributor to racial differences in income, education, and employment, and the concentration of poverty, isolation, marginalization, and other social ills that tend to co-occur with segregation (Cutler and Glaeser 1997, Williams and Collins 2001). However, prior assessments of stressors have failed to fully capture all of the stress inducing aspects of what Chester Pierce called the “extreme mundane environment” of disadvantaged neighborhoods (Pierce 1975).

A recent qualitative study of Baltimore residents who resided in public housing illustrates how segregation can create the concentration of poverty and poor housing and neighborhood conditions that trigger a range of acute and chronic secondary stressors (Turney, Kissane and Edin 2013). The study found that residents were exposed to high levels of stressors linked to the social environment, including pervasive witnessing shootings, seeing drug activity, resorting to violence to defend oneself, high levels of break-ins and theft, incessant shouting and cursing, undesirable role models for children, unsafe places to raise children, and the resultant constant worry about child safety. In addition, stressors linked to the physical environment included broken elevators, roach and rodent infestation, trash buildup, dampness in the walls, extremely hot (or cold) interior temperatures, the absence of green open spaces, crumbling sidewalks, graffiti, litter, and inadequate lighting. It is not clear that existing batteries to capture acute and chronic stressors capture all of these aspects of stressful exposures. This is important because failure to measure stress comprehensively underestimates the negative effects of stressors on physical and mental health (Thoits 2010).

Comprehensively capturing the full mental health impact of exposure to discrimination requires careful attention to the changing nature of racism in society and assessing it in all of the contexts where it becomes evident. Research on discrimination in online contexts illustrates this point. A recent study of Latino adolescents found that both individual online discrimination (derogatory text, images, and symbols directly targeted at individuals because of their race and ethnicity) and vicarious online discrimination (derogatory incidents targeted to people of one’s own racial or ethnic group) were adversely related to adolescent mental health (Umaña-Taylor et al. 2015).

Capturing “Hidden” Aspects of Race-Related Stressors on Mental Health

A related need is to give more systematic attention to understanding how some life experiences that are not explicitly linked to racism can indeed reflect the effects of racism, and to better document their contribution to mental health. For example, the death of a loved one is a standard indicator of stress on scales of life events, but the ways in which such exposures are driven by the larger racism in the society is not typically understood and appreciated. Deborah Umberson’s (2017) research on community bereavement illustrates the value of this approach. She shows that structural conditions linked to racism lead to lower life expectancy for African Americans. A consequence of the large racial differences in life expectancy is that compared to whites, black Americans are exposed to more deaths of friends and relatives from early childhood through late life and to more losses earlier in the life course. For example, compared with whites, black children are three times as likely to lose a mother by age 10, and black adults are more than twice as likely to lose a child by age 30, and a spouse by age 60. Umberson indicates that this elevated rate of bereavement and loss of social ties is a unique stressor that adversely affects levels of supportive social ties and mental (and physical health) across the life course (Umberson 2017).

The Criminal Justice system has also been identified as an instrument of institutional racism, a societal system that generates policies and procedures that have differential negative effects on stigmatized racial ethnic populations. Emerging evidence suggests that policies within this system that have differential impact on racial groups are an example of institutional racism. With approximately 700 per 100,000 citizens incarcerated at any given time, the United States has the largest number and rate of incarcerated people in the world (Wildeman and Wang 2017). The rates of incarceration increased dramatically in the 1970s. Disparities in surveillance, prosecution, and sentencing have been associated with a 10-fold increase in risk of incarceration for non-Hispanic blacks compared to white men in the United States, often reinforced by policies which have differentially criminalized substance abuse and mental illness (Wildeman and Wang 2017).

One factor contributing to the marked increase in incarceration rates for racial minorities was the laws that linked criminal penalties for cocaine to an arbitrary distinction of whether cocaine was used in powder form or as crack-cocaine, the cheaper, solid, adulterated version of the former. The 1986 Anti-Drug Abuse Act created a 100:1 sentence disparity—a mandatory minimum prison sentence of five years for a defendant possessing five grams of crack cocaine (primarily used by blacks) or 500 grams of powder cocaine (primarily used by whites) (Free Jr. 1997). Thus, despite similar rates of cocaine use among black and white Americans and despite crack and powder cocaine having the same chemical make-up and similar physiologic effects, black people were more likely to be charged for drug possession and to serve markedly longer prison sentences than whites (Free Jr. 1997).

Incarceration, in turn, has negative ripple effects on mental health for families and communities. Paternal incarceration is associated with poorer school outcomes and increases in aggressive behaviors, problematic externalizing and internalizing behaviors in their children (Wildeman, Goldman and Turney 2018). In contrast, there is not a consistent association between maternal incarceration and mental health and school outcomes. Factors that exacerbate the effects of parental incarceration include the presence of domestic violence, parental residence in the home before incarceration, child sex being male, and child race being white. Some studies have also quantified the impact of parental incarceration on racial disparities in child health and well-being (Wildeman, Goldman and Turney 2018). These studies reveal that mass incarceration has increased racial inequities in children’s behavioral and mental health problems by 15% to 25% for externalizing problems and by 24% to 46% for internalizing problems. In addition, the black-white disparity in infant mortality would be 10% lower if mass incarceration did not exist.

Aggressive policing can also adversely affect the mental health of those targeted and the larger community. A study in New York City of 1261 young men aged 18 to 26 years assessed whether and how many times they had been stopped by the police, and what had occurred during the encounter (Geller et al. 2014). The study found that the frequency of stops, the intrusiveness of the encounter, and the perception of injustice and disrespect in the encounter were all positively associated with symptoms of PTSD and anxiety. These associations were robust after adjustment for race, education, public housing residence, and criminal activity.

There are also frequent media reports of incidents of police violence directed towards black, Latino, and Native American communities, and there is emerging evidence that the steady drumbeat and reminders of these police shootings can be chronic stressors that adversely affect the mental health of the larger community. A recent nationally-representative, quasi-experimental study, found that police killings of unarmed black Americans worsened mental health among blacks in the general population but had no effect on whites (Bor et al. 2018). The effect was not evident for police shootings of armed black men. Each police killing led to a per capita increase of.14 poor mental health days per month in the three months after the event. At the population level, police killings of unarmed black Americans resulted in 55 million poor mental health days annually in the black American community.

Other evidence indicates that witnessing community violence is also a risk factor for mental health problems (Clark et al. 2008). A study of 386 women receiving care at an urban health center reported on the location and timing of witnessing incidents of violence in their neighborhoods. The study found that women who witnessed violence in their community were twice as likely to report depressive and anxiety symptoms compared to those who reported no violence (adjusted for marital status, age, education, and IPV victimization). There is also an emerging body of evidence that suggests that there may be a complex pattern of association between the stressor of community violence and mental health, at least for male adolescents of color (Gaylord-Harden et al. 2017a, Gaylord-Harden et al. 2017b). In longitudinal studies of African American and Latino male adolescents in Chicago, this research has found that higher levels of exposure to community violence is positively associated with aggression, delinquency, and PTSD symptoms such as hyperarousal. However, the association between violence and depressive symptoms is curvilinear, with depressive symptoms increasing only up to a point, then beginning to decline. The authors suggest that youth of color may become emotionally desensitized to community violence as violence increases. Moreover, both emotional numbing and physiological arousal mediate the association between violence exposure and aggressive and delinquent behavior in these adolescent males. Future research needs to explore the extent to which these patterns are generalizable to other population subgroups and the extent to which community violence is a unique stressor in terms of its effect on mental health and behavior.

Cultural Racism and Mental Health

Research also reveals that racism is deeply embedded in American culture and can contribute to adversely affecting mental health in multiple ways (Williams and Mohammed 2013). One indicator of the persistence of racism in the culture is the high levels of negative stereotypes in the population. A recent national study documented that it is not only adult members of disadvantaged racial/ethnic groups that are stereotyped negatively, but even young children (aged 0 to 8 years) and youth of color in the U.S. face high levels of negative racial stereotyping from adults who work with them (Priest et al. 2018). The study analyzed the stereotypes held by white adults who work or volunteer with children across the U.S., examining their reported views towards adults, teenagers, and children from a range of racial and ethnic backgrounds (blacks, Hispanics, whites, Native Americans, Asians, and Arab Americans). The study found high levels of negative racial stereotyping towards non-Whites of all ages, among adults working or volunteering with children. The highest levels of negative stereotypes were found towards blacks across all stereotypes measured (lazy, unintelligent, violent, and having unhealthy habits), with Native Americans and Hispanics seen as similarly negative on several stereotypes.

Negative stereotyping by whites were most pronounced towards adults, but were seen even towards young children. For example, young black children (aged 0–8 years) were almost three times more likely as white adults to be rated as being lazy, with Native American and Hispanic children also more likely to be considered lazy than white adults. Young black children were more than twice as likely to be rated as unintelligent or violence-prone compared to white children of the same age, with Hispanic children also seen as more unintelligent or violence-prone than White children. Some of the strongest levels of negative stereotyping by white adults working with children were reported towards teenagers, with black and Native American teens being almost ten times as likely to be viewed as lazy as white adults. African American and Hispanic teens were between one and a half to two times more likely to be considered violence-prone and unintelligent than white adults and teens.

Provider Biases and Access and Quality of Care

Cultural racism can trigger unconscious bias that can result in reduced access to health enhancing opportunities and resources for non-dominant racial/ethnic groups. This has been well-documented in the case of medical care, including mental health care. Research reveals that high levels of negative stereotypes, through normal, subtle and often subconscious processes, can guide expectations and interactions with others in ways that reduce the quality of service provided by mental health professionals to persons who belong to stigmatized social groups (American Psychological Assocation Presidential Task Force on Preventing Discrimination and Promoting Diversity 2012). Importantly, even the most well-meaning and consciously egalitarian individual who holds a negative stereotype of a social group will likely discriminate against a member of that group when s/he has an encounter with that individual. These are universal processes and all persons are capable of them.

Considerable scientific research indicates that these processes affect the care provided by physicians and other clinicians. A landmark 2003 report from the National Academy of Medicine concluded that across virtually every type of medical intervention, from the most simple to the most sophisticated, blacks and other minorities receive fewer procedures and poorer quality medical care than whites (Smedley, Stith and Nelson 2003). Most physicians, like other professionals and ordinary Americans, have an implicit preference for whites over blacks (Sabin et al. 2009), and this implicit bias among providers is often associated with biased treatment recommendations in the care of black and other minority patients (van Ryn et al. 2011). Provider implicit bias is also associated with poorer quality of patient provider communication and lower patient evaluation of the quality of the medical encounter including provider nonverbal behavior (Cooper et al. 2012, van Ryn et al. 2011).

For example, a study of 422 patients independently observed over five years in a psychiatric emergency room (ER) illustrates how race can play a role in mental health care (Segal, Bola and Watson 1996). The study found that after adjusting for psychotic disorders, severity of disturbance, dangerousness, psychiatric history, use of restraints, time spent in ER, and other factors, compared to other patients, black patients received, on average, one additional dose of psychiatric medication, one additional anti-psychotic dose and an additional half dose of anti-psychotic medication by injection. In addition, clinicians spent less time to evaluate a black patient than a white one, and the tendency to overmedicate black patients was lower when clinicians’ efforts to engage the patient in treatment (e.g. elicit information, include patient in planning, respond with empathy) were rated as higher.

A recent phone-based experimental study documented discrimination by race, gender, and class in getting access to mental health care (Kugelmass 2016). As part of the study, 326 licensed psychotherapists in New York city received a voice mail message from a black middle-class and a white middle-class individual or from a black and white working-class person seeking an appointment. Each message used a racially distinctive name and a race- and class-based speech pattern. The study found that middle-class seekers were offered appointments at a rate almost three times higher than their working-class peers. Among the middle-class, whites were more likely than blacks to get appointments. And among middle class males, white males were more than twice as likely to get an appointment than their black counterparts. Appointment offer rates did not differ by gender, but women were more likely than men to get an offer of an appointment during their preferred time range. Future research needs to quantify the contribution of provider biases to the well-documented patterns of racial and ethnic inequities in seeking mental health care, engagement with treatment, and in the severity and course of disease.

Internalized Racism

Internalized racism (or internalized stigma or self-stereotyping) is another pathway by which cultural racism can harm mental health. It refers to the acceptance and personal endorsement, by marginalized racial populations, of the negative societal beliefs and stereotypes about the inherent deficiencies of one’s group in the larger society. Thus, the normative cultural characterization of the superiority of whiteness and the devaluing of non-white groups can lead to the perception of self as worthless and lower self-esteem and psychological well-being in stigmatized groups and have broad negative effects on mental health by adversely affecting identity, self-competence, and health behaviors (Kwate and Meyer 2011).

Several studies have empirically examined the association of internalized racism and mental health. The Nandanolitization scale was an early measure of internalized racism (Taylor and Grundy 1996). It captures the extent to which blacks are socially uncomfortable with other blacks and endorse traditional racist stereotypes of blacks such as blacks are mentally defective (intellectually, morally, emotionally) or blacks are physically gifted (athletically, sexually, artistically). Research by Jerome Taylor and colleagues revealed that internalized racism was associated with higher consumption of alcohol and higher levels of psychological distress and depressive symptoms (Taylor and Jackson 1990, Taylor, Henderson and Jackson 1991, Taylor and Jackson 1991).

In the National Survey of Black Americans (NSBA), internalized racism was assessed by capturing the degree of agreement with positive and negative stereotypes of black people. A study of the 2,107 black American adults in that sample found that both the rejection of positive stereotypes and the endorsement of negative stereotypes were associated with lower levels of self-esteem (Brown, Sellers and Gomez 2002). More recently, the NSAL has also measured internalized racism by capturing the extent to which blacks endorse negative stereotypes of blacks. One study found that African Americans who had high levels of racial identity but also scored high on internalized racism were more likely to have lower levels of mastery and higher levels of depressive symptoms (Hughes et al. 2015). Another study using this same sample found that internalized racism was positively associated with depressive symptoms and serious psychological distress among African Americans, U.S.-born Caribbean Blacks, and foreign-born Caribbean Blacks (Mouzon and McLean 2017). However, African Americans had the highest levels of internalized racism, followed by U.S.-born Caribbean Blacks, and then foreign-born Caribbean Blacks, and the association with mental health symptoms was weakest for the foreign-born group. Another study using the NSAL data found, surprisingly, that among Caribbean Blacks, but not African Americans, internalized racism was associated with a reduced risk of having major depressive disorder in the past year (Molina and James 2016).

The internalization of negative cultural images by stigmatized groups may also create expectations, anxieties, and reactions that can adversely affect not only psychological wellbeing but also decrease motivation for socioeconomic attainment (Kwate and Meyer 2011). Research in the U.S. reveals that when a stigma of inferiority was activated under experimental conditions, student performance on an examination was adversely affected (Steele 1997). African Americans who were told in advance that blacks perform more poorly on exams than whites, women who were told that they perform more poorly than men, and white men who were told that they usually do worse than Asians, all had lower scores on an examination than control groups who were not confronted with a stigma of inferiority (Fischer et al. 1996, Steele 1997). Limited scientific evidence also indicates that the presence of stereotype threat in the encounter of a minority patient with a provider may adversely affect the quality of interaction with the provider and patient adherence to medical recommendations (Aronson et al. 2013). This may be especially important in the context of mental health care where the quality of patient-provider interpersonal interaction can be a critical contributor to the quality of the therapeutic relationship.

Unlike the case of discrimination and health, research on internalized racism and mental health is in its infancy. At the present time, we are unaware of the optimal assessment of internalized racism and of the mechanisms and processes by which this type of racism adversely affects mental health. However, it is urgent that future research addresses this gap, given that studies with the Nandanolitization scale using non-representative community and student samples have estimated that one in three blacks score high on internalized racism (Taylor and Grundy 1996). A similar estimate comes from a study of Indigenous adults in Australia in which internalized racism was measured by a four-item scale that captured agreement with not feeling good about being Indigenous, wanting Indigenous people to think and act more like other Australians, disagreeing that Indigenous people have fewer opportunities than other Australians, and reporting not being accepted by other Indigenous people (Paradies and Cunningham 2009). The study found that one third of Aboriginal adults had high levels of internalized racism. We are also not clear about the factors that increase the likelihood that processes of internalized racism are triggered. For example, research reveals that exposure of American Indians to mascots can adversely affect a sense of self-esteem and community worth (Fryberg et al. 2008). Future research needs to identify the extent to which processes of internalized racism are operative within this context or if there are other processes linked to cultural racism that are at work.

Other Key Priorities for Future Research

There are a number of emerging mental risks that require more systematic attention in order to identify and effectively address current and future sources of stress and mental health challenges for populations of color. These include hostility and stress in the current political environment, the complex relationships between mental health and physical health, the mental health consequences of climate change and other emerging environmental risks, identifying sources of psychological resilience, and understanding and confronting patterns of increased mental health risks.

Hostility and Stress in the Larger Culture

There is an urgent need to quantify and better understand the mental health consequences of stressors linked to the increasing levels of racial hostility and political polarization in recent years. The election of President Barack Obama played a critical role. A review of research on this topic revealed that his election led to the rise of the Tea Party movement with its racist rhetoric, declining white support for the Democratic party, and increases in the belief among whites that racism no longer exists, that was combined with opposition to efforts to address racial inequities (Parker 2016). His election also triggered a large increase in racial animosity in social media that included the emergence of anti-Obama Facebook pages, hate websites, and the proliferation online of historical racial stereotypes that are no longer utilized in most mainstream media outlets (Moody 2012). The campaign of Donald Trump further brought to the surface pre-existing negative attitudes towards immigrants, Muslims, and racial and ethnic minorities. A national but non-representative survey of 2,000 Kindergarten through grade 12 teachers documented that more than a half of them indicated that since the Trump presidential campaign had begun, there had been an increase among some of their students in using slurs, name-calling, and saying bigoted and hostile things about immigrants, minorities, and Muslims, and many students in these targeted groups were afraid and worried about potential negative effects on their families after the election (Costello 2016). For example, some African American children whose families had been in the U.S. for centuries were concerned about a return to slavery and black people being sent back to Africa.

And in the wake of Trump’s election there was a marked spike in hate crimes and harassment with K-12 schools being the most commonly reported location where these incidents of harassment had occurred (Lenz, 2016). This hostility in the larger environment contributed to high levels of fear and stress in the population. A national survey conducted by the American Psychological Association in January 2017 reported that two-thirds of all American adults said that they were stressed about the future of the country. Moreover, 69% of blacks, 57% of Asians, 56% of Hispanics, and 42% of non-Hispanic Whites reported that the outcome of the 2016 presidential election was a “very significant” or “somewhat significant” source of stress (American Psychological Association 2017). Some 72% of Democrats and 26% of Republicans were similarly stressed. Recent studies have documented that residing in communities with high levels of racial prejudice is associated with an elevated risk of mortality, especially for racial minorities who reside in those communities (Chae et al. 2015, Lee et al. 2015, Leitner et al. 2016). Similarly, elevated mortality risk has been found among lesbian, gay and bisexual individuals living in areas with high levels of anti-gay prejudice (Hatzenbuehler et al. 2014). However, inadequate research attention has been given to documenting the short-term and long-term mental health consequences of residence in hostile environments.

Relatedly, research also suggests that anti-immigrant policies and initiatives can trigger hostility toward immigrants that can lead to perceptions of vulnerability, fear, and psychological distress for both immigrants who are directly targeted and those who are not direct targets (Szkupinski Quiroga, Medina and Glick 2014). A study in Arizona documented that this hostility in the environment led to reductions in the use of health care and social services among Hispanic women, with the effect being larger among Latinas who were U.S. born than among those who were foreign-born (Toomey et al. 2014). Descriptions of federal immigration raids also suggest that they can have negative emotional effects on an entire community (Novak, Geronimus and Martinez-Cardoso 2017). A recent study documented that a large immigration raid at a meat-processing plant was associated with an increase in low birth weight to infants born to Hispanic, but not non-Hispanic white mothers, in that community in the year after the raid compared with infants born in the year before the raid (Novak, Geronimus and Martinez-Cardoso 2017). Similarly, a study in a midwestern U.S. community found that immigration enforcement stressors and levels of self-rated ill health were higher for the Latino community residents who were interviewed after an immigration raid compared to those interviewed before the raid (Lopez et al. 2017). More systematic efforts are needed to document and quantify this stress, fear, and vulnerability, and assess their consequences for mental health. An earlier body of research found that increases in hostility in the media and general society against Muslims and persons from the Middle East in the wake of the September 11, 2011 terrorist attacks were associated with increased risk of low birthweight and preterm birth for Arab American women (Lauderdale 2006) and to elevated levels of mental health symptoms among persons from the Middle East (Padela and Heisler 2010).

Understanding Complex Interactions between Physical Health and Mental Health Risks

Several lines of evidence suggest that among racial minorities, there are complex and sometimes paradoxical associations between mental and physical health that we need to better understand so that we can improve overall health. First, some evidence suggests that psychological resources and positive emotional health can be associated with negative effects on physical health. For example, a study that followed a sample of relatively economically disadvantaged African American adolescents in the rural southeast over time, found that those low SES youth with high self-control and self-regulation at age 11 succeeded academically and emotionally in young adulthood and at age 20 use fewer drugs and drink less alcohol (Brody et al. 2013). However, these same youth had greater obesity, higher blood pressure, and higher levels of stress hormones and epigenetic aging (based on DNA methylation profiles) than their low SES peers who were low on self-control, and than their higher SES peers(Chen et al. 2015, Miller et al. 2015).

Similarly, in the National Longitudinal Study of Adolescent to Adult Health, lower levels of depression are associated with college completion, irrespective of childhood disadvantage and for all racial/ethnic groups (blacks, whites, Hispanics) (Gaydosh et al. 2018). In contrast, college completion is associated with lower metabolic syndrome for whites, irrespective of exposure to childhood disadvantage, but among black and Hispanic youth, college completion is associated with higher metabolic syndrome among those from disadvantaged childhood environments. Future research needs to better understand the contexts and exposures that appear to have opposite effects on mental health versus physical health. One useful framework is John Henryism, or high-effort, active coping, that is a positive attribute among well-resourced racial minorities but is associated with worse health among those who lack the resources to facilitate success (are low SES) or encounter blocked opportunity (James 1994). However, it is unclear how processes linked to John Henryism and blocked opportunity relate to each other and can combine to affect physical and mental health. One national study of African Americans found that education was positively associated with experiences of racial discrimination and both John Henryism and discrimination were associated with the increased odds of major depression, but John Henryism did not moderate the relationship between discrimination and depression (Hudson et al. 2016).

Analyses of longitudinal data also indicate that African American and Hispanic youth who experience upward socioeconomic mobility report greater increases in acute and chronic discrimination compared to their peers whose SES was stable (Colen et al. 2018). These experiences of discrimination are adversely related to health and partially contributed to disparities in health between these minority young adults and their white counterparts. This research is broadly consistent with a larger paradox in the research literature between mental and physical health risks among African Americans. African Americans tend to have worse health than whites on virtually every indicator of physical health, but, as noted earlier, despite higher levels of stress, they have lower rates of stress-related mental health outcomes, such as major depression, than whites. We do not understand what drives this phenomenon. Analyses of national data revealed that lower levels of depression among blacks than whites was evident across virtually every demographic subgroup defined by sex, age, and education—a finding that is not consistent with the view that the observed pattern is due to selection bias because of limited coverage of some subgroups of the black population in surveys due to incarceration or homelessness (Barnes, Keyes and Bates 2013). Other recent analyses have documented that neither high levels of social support among blacks (Mouzon 2013) nor the elevated levels of religious involvement among African Americans compared to whites account for the racial differences in depression (Mouzon 2017). A novel hypothesis to account for this paradox was that engagement in unhealthy behaviors (eating, alcohol and tobacco use) to cope with stress is more protective of depression risk for blacks than whites (Jackson, Knight and Rafferty 2010). Using a large national sample, Keyes and colleagues (Keyes, Barnes and Bates 2011) did not find support for this hypothesis. Engaging in unhealthy behaviors was not associated with reduced risk of depression for blacks or for whites. So the paradox remains as an important scientific question to be answered.

Future research must also pay greater attention to the contribution that mental health symptoms among racial/ethnic minorities may play in the elevated risk of chronic physical conditions. A recent study that pooled data from 16 prospective studies in the U.K. and followed people for about 10 years, found that higher levels of distress were associated with increased risk of cancer of all sites, cancers not related to smoking as well as leukemia and colorectal, prostate, pancreatic, and esophageal cancer (Batty et al. 2017). The associations persisted after adjustment for demographic factors, SES, smoking and alcohol use. A graded stepwise risk was evident between psychological distress and prostate and colorectal cancer. This research highlights the value of sustained research attention that would enable us to better understand how risk and protective factors relate to each other and combine over time to affect physical and mental health and the relationship between them.

Climate Change, Environmental Risks, and Mental Health

As we look to the future, it is also important to give attention to assessing the mental health consequences of the stressors that may emerge from natural and manmade disasters. For example, a monthly survey in Flint, Michigan, during the time of the recent water crisis, found that community respondents reported stress, anxiety, depression and fear within the community due to the ongoing crisis (Cuthbertson et al. 2016). These negative mental health consequences were viewed as being related not only to the actual contamination of the water but also to distrust of the official response to the crisis and the inadequacy of their response (Cuthbertson et al. 2016). Similarly, a review of research on the mental health impact of a devastating earthquake in Japan in 2011 found long-term negative mental health impact for the population affected (Ando et al. 2017). While posttraumatic stress symptoms tended to decline over time, and initial increases in suicide decreased two years after the quake, elevated symptoms of depression persisted during the entire follow-up period. These findings suggest the need for long-term and ongoing mental health support for communities and populations that face high levels of exposure to traumatic experiences.

Climate change is also likely to exacerbate the challenges faced by vulnerable populations and add to their mental health burden. Because of climate change, many cities are likely to get warmer, heat waves are expected to last longer, increase in frequency, and be more intense (Jesdale, Morello-Frosch and Cushing 2013). Prior research has found that there are large racial disparities in heat-related deaths. Urban tree canopy can mitigate the negative effects of extreme heat and urban trees can provide shade, reduce waste water loads, reduce air pollution, and reduce noise pollution. However, disadvantaged SES and racial/ethnic groups are more vulnerable to heat exposure because they are more likely to have higher rates of illness (e.g. CVD, respiratory, renal, diabetes), reside in high crime areas (fear of assault is a barrier to opening windows or traveling to cooler locations), and occupy poorer quality housing (Gronlund 2014). They also have lower access to working fans, cool public spaces, and air conditioning (Gronlund 2014). All of these factors suggest that the mental health burden will be greater for socially disadvantaged racial and ethnic populations. Inadequate attention has been given to examining the short- and long-term mental health impact of natural or manmade environmental crises.

Protective Factors

A few studies have identified psychosocial resources that can reduce the negative effects of the stress of discrimination on mental health. Religious involvement has reduced the negative effects of discrimination on health in two national studies. In prospective analyses using data from the NSBA, higher levels of religious involvement (church attendance, and seeking religious guidance in everyday life) reduced the positive association between racial discrimination and psychological distress (Ellison, Musick and Henderson 2008). In the national MIDUS study, church attendance buffered the adverse effect of discrimination on negative affect among African-Americans but not among Whites (Bierman 2006). In a study of 414 rural low-income black mothers, Church-based social support captured by a 21 item scale that assessed support from one’s relationship with God, with the congregation, and from the clergy, buffered the negative effect of discrimination on depressive symptoms (Odom, Vernon‐Feagans and Investigators 2010). A measure of optimism also reduced the negative effect of discrimination on depression. Relatedly, a study using a 31 item measure of trait mindfulness in a non-representative community sample of 605 adults found that mindfulness reduced the negative effects of discrimination on depressive symptoms (Brown-Iannuzzi et al. 2014).

The receipt of social support from family members and friends is widely recognized as a psychosocial resource that can reduce the negative effects of stressful life experiences on health. A few studies have documented a similar pattern for the stress of discrimination. A study of 714 black adolescents, ages 10–12 at baseline, interviewed three times over five years, found that the negative effects of discrimination on depressive symptoms was reduced among those adolescents who had had high levels of support from their parents and friends (Brody et al. 2006 ). A subsequent follow-up of this same study found that high levels of social support (caregiver emotional and instrumental support and peer support) reduced the negative effect of discrimination on allostatic load (Brody et al. 2014).

Future research is needed to better understand the conditions under which particular aspects of religious involvement, social support, and psychological resources can reduce the negative effects of the stress of discrimination on mental health. Research is also needed to characterize the full range of resources that might play a role in ameliorating the negative impacts of discrimination on mental health.

Emerging Mental Health Challenges

There is evidence of large and worsening mental health challenges for minority youth. Suicide data is illustrative. Native Americans have the highest rates of suicide. It is the 8th leading cause of death overall and the second leading cause between the ages of 10 to 34 (Odafe et al. 2016). There are also marked increases in suicide rates among Hispanics, especially among adolescents and young adults. Suicide is the third leading cause of death for blacks aged 15 to 24, and although blacks still have lower suicide rates than whites, an increase in suicide among black youth in recent decades has narrowed the racial gap. A recent study documented that suicide was the leading cause of death among school-aged children aged 5 to 11 years in the U.S. (Bridge et al. 2015). The study found that although overall suicide rates for children aged 5 to 11 years had remained stable between 1993 to 1997 and 2008 to 2012, the rate had declined for whites and remained stable for Hispanics and other racial groups, but had almost doubled for blacks.

More research is needed to identify the determinants of these challenges and identify how they can be effectively addressed. A recent study (Edwards et al. 2017) of 365 emerging adults (96% African American), aged 18 to 24 years old affiliated with a university in a northeastern metro area, sheds light on the significant stressful challenges that youth perceive. The young adults report that their biggest concerns were aggressive policing, high levels of community violence, and the instability of their housing. These youth reported that they faced constant threat and fear, high levels of hopelessness, and low perceived economic opportunity. Accordingly, they lived in the moment because of their uncertainty about their future. Changing the current trajectory of stress and mental health problems will require significant investment in enabling youth to develop skills and resources to confront and cope with the stressors they face.

Conclusion

Understanding the ways in which the social context of populations of color affect their mental health requires detailed and comprehensive characterization of the exposures in their social context that can affect health. The overview of the research provided here highlights the multiple ways in which racism can affect mental health. Other conditions linked to race and ethnicity can also play a role in shaping the mental health of disadvantaged populations, and we need to understand these stressors in their full complexity. Future research must characterize this full range of risk factors and resources that may be unique to, or more prevalent among, stigmatized racial and ethnic populations and identify how they combine with each other, over the life course, to affect patterns of mental health. Such research must be attentive to the changing social context of racial/ethnic status and incorporate emerging threats to mental health as well as opportunities that may arise to promote enhanced mental wellbeing.

Acknowledgments

FUNDING AND ACKNOWLEDGMENTS

Preparation of this paper was supported in part by the National Institute on Minority Health and Health Disparities (NIMHD) of the National Institutes of Health under Award Number R01 MD009719. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institutes of Health. The author thanks Sandra Krumholz for her assistance in preparing the manuscript.

AUTHOR BIO

David R. Williams is the Norman Professor of Public Health, African and African American Studies and Sociology at Harvard University and an Honorary Professor, Department of Psychiatry and Mental Health, University of Cape Town, South Africa. His research focuses on the ways in which socioeconomic status, race, stress, racism and religious involvement can affect health. He is the author of over 400 scholarly papers and is an elected member of the National Academy of Medicine and the American Academy of Arts and Sciences. In 2014, he was ranked as one of the World’s Most Influential Scientific Minds.

REFERENCES

  1. American Psychological Assocation Presidential Task Force on Preventing Discrimination and Promoting Diversity. 2012. “Dual Pathways to a Better America: Preventing Discrimination and Promoting Diversity” Washington, D.C.: American Psychological Association. [Google Scholar]
  2. American Psychological Association. 2016, “Stress in America: The Impact of Discrimination. Stress in America Survey”. Retrieved 2016 (https://www.apa.org/news/press/releases/stress/2015/impact-of-discrimination.pdf).
  3. American Psychological Association. 2017, “Stress in America: Coping with Change. Stress in America Survey”. Retrieved February 22, 2017, (https://www.apa.org/news/press/releases/stress/2016/coping-with-change.PDF).
  4. Ando Shuntaro, Kuwabara Hitoshi, Araki Tsuyoshi, Kanehara Akiko, Tanaka Shintaro, Morishima Ryo, Kondo Shinsuke and Kasai Kiyoto. 2017. “Mental Health Problems in a Community after the Great East Japan Earthquake in 2011: A Systematic Review.” Harvard review of psychiatry 25(1):15–28. doi: 10.1097/hrp.0000000000000124. [DOI] [PubMed] [Google Scholar]
  5. Aronson Joshua, Burgess Diana, Phelan Sean M. and Juarez Lindsay. 2013. “Unhealthy Interactions: The Role of Stereotype Threat in Health Disparities.” American Journal of Public Health 103(1):50–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Barnes David M., Keyes Katherine M. and Bates Lisa M. 2013. “Racial Differences in Depression in the United States: How Do Subgroup Analyses Inform a Paradox?”. Social Psychiatry and Psychiatric Epidemiology 48(12):1941–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Batty G. David, Russ Tom C., Stamatakis Emmanuel and Kivimaki Mika. 2017. “Psychological Distress in Relation to Site Specific Cancer Mortality: Pooling of Unpublished Data from 16 Prospective Cohort Studies.” BMJ 356:j108. doi: 10.1136/bmj.j108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Becares Laia, Nazroo James and Kelly Yvonee. 2015. “A Longitudinal Examination of Maternal, Family, and Area-Level Experiences of Racism on Children’s Socioemotional Development: Patterns and Possible Explanations.” Social Science & Medicine 142:128–35. doi: 10.1016/j.socscimed.2015.08.025. [DOI] [PubMed] [Google Scholar]
  9. Bierman Alex. 2006. “Does Religion Buffer the Effects of Discrimination on Mental Health? Differing Effects by Race.” Journal for the Scientific Study of Religion 45(4):551–65. [Google Scholar]
  10. Bonilla-Silva Eduardo. 1996. “Rethinking Racism: Toward a Structural Interpretation.” American Sociological Review 62(3):465–80. [Google Scholar]
  11. Bor Jacob, Venkataramani Atheendar S., Williams David R. and Tsai Alexander C. 2018. “Police Killings and Their Spillover Effects on the Mental Health of Black Americans: A Population-Based, Quasi-Experimental Study.” The Lancet 392(10144):302–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Breslau Joshua, Kendler Kenneth S., Su Maxwell, Gaxiola-Aguilar Sergio and Kessler Ronald C. 2005. “Lifetime Risk and Persistence of Psychiatric Disorders across Ethnic Groups in the United States.” Psychological Medicine 35(3):317–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bridge Jeffrey A., Asti Lindsey, Horowitz Lisa M., Greenhouse Joel B., Fontanella Cynthia A., Sheftall Arielle H., Kelleher Kelly J. and Campo John V. 2015. “Suicide Trends among Elementary School–Aged Children in the United States from 1993 to 2012.” JAMA Pediatrics 169(7):673–77. [DOI] [PubMed] [Google Scholar]
  14. Brody Gene H., Chen Yi-Fu, Murry Velma McBride, Xiaojia Ge, Simons RL, Gibbons Frederick X., Gerrard Meg and Cutrona Carolyn E. 2006. “Perceived Discrimination and the Adjustment of African American Youths: A Five-Year Longitudinal Analysis with Contextual Moderation Effects.” Child Development 77(5):1170–89. [DOI] [PubMed] [Google Scholar]
  15. Brody Gene H., Yu Tianyi, Chen Edith, Miller Gregory E., Kogan Steven M. and Beach Steven RH. 2013. “Is Resilience Only Skin Deep? Rural African Americans’ Socioeconomic Status–Related Risk and Competence in Preadolescence and Psychological Adjustment and Allostatic Load at Age 19.” Psychological Science 24(7):1285–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Brody Gene H., Lei Man-Kit, Chae David H., Yu Tianyi, Kogan Steven M. and Beach Steven R. H. 2014. “Perceived Discrimination among African American Adolescents and Allostatic Load: A Longitudinal Analysis with Buffering Effects.” Child Development 85(3):989–1002. doi: 10.1111/cdev.12213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Brown-Iannuzzi Jazmin L., Adair Kathryn C., Payne B. Keith, Richman Laura Smart and Fredrickson Barbara L. 2014. “Discrimination Hurts, but Mindfulness May Help: Trait Mindfulness Moderates the Relationship between Perceived Discrimination and Depressive Symptoms.” Personality and Individual Differences 56:201–05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Brown Tony N., Williams David R., Jackson James S., Neighbors Harold W., Torres Myriam, Sellers Sherill L. and Brown Kendrick T. 2000. “Being Black and Feeling Blue: The Mental Health Consequences of Racial Discrimination.” Race and Society 2(2):117–31. [Google Scholar]
  19. Brown Tony N., Sellers Sherrill L. and Gomez John P. 2002. “The Relationship between Internalization and Self-Esteem among Black Adults.” Sociological Focus 35(1):55–71. [Google Scholar]
  20. Chae David H., Clouston Sean, Hatzenbuehler Mark L., Kramer Michael R., Cooper Hannah LF, Wilson Sacoby M., Stephens-Davidowitz Seth I., Gold Robert S. and Link Bruce G. 2015. “Association between an Internet-Based Measure of Area Racism and Black Mortality.” PloS one 10(4):e0122963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chen Edith, Miller Gregory E., Brody Gene H. and Lei ManKit. 2015. “Neighborhood Poverty, College Attendance, and Diverging Profiles of Substance Use and Allostatic Load in Rural African American Youth.” Clinical Psychological Science 3(5):675–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Clark Cheryl, Ryan Louise, Kawachi Ichiro, Canner Marina, Berkman Lisa and Wright Rosalind. 2008. “Witnessing Community Violence in Residential Neighborhoods: A Mental Health Hazard for Urban Women.” Journal of Urban Health 85(1):22–38. doi: 10.1007/s11524-007-9229-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Clark Rodney, Benkert Ramona A. and Flack John M. 2006. “Large Arterial Elasticity Varies as a Function of Gender and Racism-Related Vigilance in Black Youth.” Journal of Adolescent Health 39(4):562–69. [DOI] [PubMed] [Google Scholar]
  24. Colen Cynthia G., Ramey David M., Cooksey Elizabeth C. and Williams David R. 2018. “Racial Disparities in Health among Nonpoor African Americans and Hispanics: The Role of Acute and Chronic Discrimination.” Social Science & Medicine 199:167–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Cooper Lisa A., Roter Debra L., Carson Kathryn A., Mary Catherine Beach Janice A. Sabin, Greenwald Anthony G. and Inui Thomas S. 2012. “The Associations of Clinicians’ Implicit Attitudes About Race with Medical Visit Communication and Patient Ratings of Interpersonal Care.” American Journal of Public Health 102(5):979–87. doi: 10.2105/ajph.2011.300558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Costello Maureen B. 2016, “The Trump Effect: The Impact of the Presidential Campaign on Our Nation’s Schools”, Montgomery, AL: Southern Poverty Law Center; Retrieved 2016, (https://www.splcenter.org/sites/default/files/splc_the_trump_effect.pdf.) [Google Scholar]
  27. Cuthbertson Courtney A., Newkirk Cathy, Ilardo Joan, Loveridge Scott and Skidmore Mark. 2016. “Angry, Scared, and Unsure: Mental Health Consequences of Contaminated Water in Flint, Michigan.” Journal of Urban Health: Bulletin of the New York Academy of Medicine 93(6):899–908. doi: 10.1007/s11524-016-0089-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Cutler David M. and Glaeser Edward L. 1997. “Are Ghettos Good or Bad?”. The Quarterly Journal of Economics 112(3):827–72. [Google Scholar]
  29. Dohrenwend Bruce P. Dohrenwend Barbara S. 1969. Social Status and Psychological Disorder: A Casual Inquiry. New York: Wiley. [Google Scholar]
  30. Edwards Lorece V., Lindong Ian, Brown Lawrence, Hawkins Anita S., Dennis Sabriya, Fajobi Olaoluwa, Rowel Randolph, Braithwaite Ronald and Sydnor Kim D. 2017. “None of Us Will Get out of Here Alive: The Intersection of Perceived Risk for Hiv, Risk Behaviors and Survival Expectations among African American Emerging Adults.” Journal of Health Care for the Poor and Underserved 28(2):48–68. [DOI] [PubMed] [Google Scholar]
  31. Ellison Christopher G., Musick Marc A. and Henderson Andrea K. 2008. “Balm in Gilead: Racism, Religious Involvement, and Psychological Distress among African‐American Adults.” Journal for the Scientific Study of Religion 47(2):291–309. [Google Scholar]
  32. Fischer Claude S., Hout Michael, Jankowski Martín Sánchezs, Lucas Samuel R., Swidler Ann and Voss Kim 1996. Inequality by Design: Cracking the Bell Curve Myth. Princeton, NJ: Princeton University Press. [Google Scholar]
  33. Fleming Crystal M., Lamont Michèle and Welburn Jessica S. 2012. “African Americans Respond to Stigmatization: The Meanings and Salience of Confronting, Deflecting Conflict, Educating the Ignorant and ‘Managing the Self’.” Ethnic and Racial Studies 35(3):400–17. [Google Scholar]
  34. Free Marvin D Jr. 1997. “The Impact of Federal Sentencing Reforms on African Americans.” Journal of Black Studies 28(2):268–86. [Google Scholar]
  35. Fryberg Stephanie A., Markus Hazel Rose, Oyserman Daphna and Stone Joseph M. 2008. “Of Warrior Chiefs and Indian Princesses: The Psychological Consequences of American Indian Mascots.” Basic and Applied Social Psychology 30(3):208–18. [Google Scholar]
  36. Gaydosh Lauren, Schorpp Kristen M., Chen Edith, Miller Gregory E. and Harris Kathleen Mullan 2018. “College Completion Predicts Lower Depression but Higher Metabolic Syndrome among Disadvantaged Minorities in Young Adulthood.” Proceedings of the National Academy of Sciences 115(1):109–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Gaylord-Harden Noni K., So Suzanna, Bai Grace J., Henry David B. and Tolan Patrick H. 2017a. “Examining the Pathologic Adaptation Model of Community Violence Exposure in Male Adolescents of Color.” Journal of Clinical Child & Adolescent Psychology 46(1):125–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gaylord-Harden Noni K., So Suzanna, Bai Grace J. and Tolan Patrick H. 2017b. “Examining the Effects of Emotional and Cognitive Desensitization to Community Violence Exposure in Male Adolescents of Color.” American Journal of Orthopsychiatry 87(4):463–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Gee Gilbert C., Spencer Michael, Chen Juan, Yip Tiffany and Takeuchi David T. 2007. “The Association between Self-Reported Racial Discrimination and 12-Month Dsm-Iv Mental Disorders among Asian Americans Nationwide.” Social Science & Medicine 64(10):1984–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Gee Gilbert C., Walsemann Katrina M. and Brondolo Elizabeth 2012. “A Life Course Perspective on How Racism May Be Related to Health Inequities.” American Journal of Public Health 102(5):967–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Geller Amanda, Fagan Jeffrey, Tyler Tom and Link Bruce G. 2014. “Aggressive Policing and the Mental Health of Young Urban Men.” American Journal of Public Health 104(12):2321–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Gibbons Frederick X., Gerrard Meg, Cleveland Michael J., Wills Thomas A. and Brody Gene 2004. “Perceived Discrimination and Substance Use in African American Parents and Their Children: A Panel Study.” Journal of Personality and Social Psychology 86(4):517–29. [DOI] [PubMed] [Google Scholar]
  43. Gronlund Carina J. 2014. “Racial and Socioeconomic Disparities in Heat-Related Health Effects and Their Mechanisms: A Review.” Current Epidemiology Reports 1(3):165–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Harris Ricci, Tobias Martin, Jeffreys Mona, Waldegrave Kiri, Karlsen Saffron and Nazroo James 2006. “Effects of Self-Reported Racial Discrimination and Deprivation on Maori Health and Inequalities in New Zealand: Cross-Sectional Study.” Lancet 367(9527):2005–9. doi: 10.1016/S0140-6736(06)68890-9. [DOI] [PubMed] [Google Scholar]
  45. Hatzenbuehler Mark L., Bellatorre Anna, Lee Yeonjin, Finch Brian K., Muennig Peter and Fiscella Kevin 2014. “Structural Stigma and All-Cause Mortality in Sexual Minority Populations.” Social Science & Medicine 103:33–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Heard-Garris NJ, Cale M, Camaj L, Hamati MC and Dominguez TP 2018. “Transmitting Trauma: A Systematic Review of Vicarious Racism and Child Health.” Social Science & Medicine 199:230–40. [DOI] [PubMed] [Google Scholar]
  47. Hicken Margaret T., Lee Hedwig, Ailshire Jennifer, Burgard Sarah A. and Williams David R. 2013. ““Every Shut Eye, Ain’t Sleep”: The Role of Racism-Related Vigilance in Racial/Ethnic Disparities in Sleep Difficulty.” Race and Social Problems 5(2):100–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Hicken Margaret T., Lee Hedwig, Morenoff Jeffrey, House James S. and Williams David R. 2014. “Racial/Ethnic Disparities in Hypertension Prevalence: Reconsidering the Role of Chronic Stress.” American Journal of Public Health 104(1):117–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Hicken Margaret T., Lee Hedwig and Hing Anna K. 2018. “The Weight of Racism: Vigilance and Racial Inequalities in Weight-Related Measures.” Social Science & Medicine 199:157–66. doi: 10.1016/j.socscimed.2017.03.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Hudson Darrell L., Neighbors Harold W., Geronimus Arline T. and Jackson James S. 2016. “Racial Discrimination, John Henryism, and Depression among African Americans.” Journal of Black Psychology 42(3):221–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Hughes Michael and Thomas Melvin E. 1998. “The Continuing Significance of Race Revisited: A Study of Race, Class, and Quality of Life in America, 1972 to 1996.” American Sociological Review 63:785–95. [PubMed] [Google Scholar]
  52. Hughes Michael, Kiecolt K. Jill, Keith Verna M. and Demo David H. 2015. “Racial Identity and Well-Being among African Americans.” Social Psychology Quarterly 78(1):25–48. [Google Scholar]
  53. Jackson James S., Knight Katherine M. and Rafferty Jane A. 2010. “Race and Unhealthy Behaviors: Chronic Stress, the Hpa Axis, and Physical and Mental Health Disparities over the Life Course.” American Journal of Public Health 100(5):933–9. doi: 10.2105/ajph.2008.143446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. James Sherman A. 1994. “John Henryism and the Health of African-Americans.” Culture, Medicine and Psychiatry 18(2):163–82. [DOI] [PubMed] [Google Scholar]
  55. Jesdale Bill M., Morello-Frosch Rachel and Cushing Lara 2013. “The Racial/Ethnic Distribution of Heat Risk–Related Land Cover in Relation to Residential Segregation.” Environmental Health Perspectives 121(7):811–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Keyes Corey LM 2007. “Promoting and Protecting Mental Health as Flourishing: A Complementary Strategy for Improving National Mental Health.” American Psychologist 62(2):95–108. [DOI] [PubMed] [Google Scholar]
  57. Keyes Katherine M., Barnes David M. and Bates Lisa M. 2011. “Stress, Coping, and Depression: Testing a New Hypothesis in a Prospectively Studied General Population Sample of U.S.-Born Whites and Blacks.” Social Science & Medicine 72(5):650–9. doi: 10.1016/j.socscimed.2010.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Krieger Nancy 1999. “Embodying Inequality: A Review of Concepts, Measures, and Methods for Studying Health Consequences of Discrimination.” International Journal of Health Services 29(2):295–352. [DOI] [PubMed] [Google Scholar]
  59. Kugelmass Heather 2016. ““Sorry, I’m Not Accepting New Patients” an Audit Study of Access to Mental Health Care.” Journal of Health and Social Behavior 57(2):168–83. [DOI] [PubMed] [Google Scholar]
  60. Kwate Naa Oyo A. and Meyer Ilan H. 2011. “On Sticks and Stones and Broken Bones: Stereotypes and African American Health.” Du Bois Review: Social Science Research on Race 8(1):191–98. doi: doi: 10.1017/S1742058X11000014. [DOI] [Google Scholar]
  61. Larson Ann, Gillies Marisa, Howard Peter J. and Coffin Juli 2007. “It’s Enough to Make You Sick: The Impact of Racism on the Health of Aboriginal Australians.” Australian and New Zealand Journal of Public Health 31(4):322–29. [DOI] [PubMed] [Google Scholar]
  62. Lauderdale Diane S. 2006. “Birth Outcomes for Arabic-Named Women in California before and after September 11.” Demography 43(1):185–201. [DOI] [PubMed] [Google Scholar]
  63. LaVeist Thomas A., Thorpe Roland J. Jr., Pierre Geraldine, Mance GiShawn A. and Williams David R. 2014. “The Relationships among Vigilant Coping Style, Race, and Depression.” Journal of Social Issues 70(2):241–55. doi: 10.1111/josi.12058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Lee Yoenjin, Muennig Peter, Kawachi Ichiro and Hatzenbuehler Mark L. 2015. “Effects of Racial Prejudice on the Health of Communities: A Multilevel Survival Analysis.” American Journal of Public Health 105(11):2349–55. doi: 10.2105/ajph.2015.302776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Leitner Jordan B., Hehman Eric, Ayduk Ozlem and Mendoza-Denton Rodolfo 2016. “Blacks’ Death Rate Due to Circulatory Diseases Is Positively Related to Whites’ Explicit Racial Bias: A Nationwide Investigation Using Project Implicit.” Psychological Science 27(10):1299–311. [DOI] [PubMed] [Google Scholar]
  66. Lenz Ryan “Neo-Nazi Andrew Anglin Cheers on Anti-Muslim Harassment as Reports of Attacks Mount": Southern Poverty Law Center; Retrieved November 10, 2016, (https://www.splcenter.org/hatewatch/2016/11/10/neo-nazi-andrew-anglin-cheers-anti-muslim-harassment-reports-attacks-mount.) [Google Scholar]
  67. Lewis Tené T., Cogburn Courtney D. and Williams David R. 2015. “Self-Reported Experiences of Discrimination and Health: Scientific Advances, Ongoing Controversies, and Emerging Issues.” Annual review of clinical psychology 11:407–40. doi: 10.1146/annurev-clinpsy-032814-112728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Lindström Martin 2008. “Social Capital, Anticipated Ethnic Discrimination and Self-Reported Psychological Health: A Population-Based Study.” Social Science & Medicine 66(1):1–13. [DOI] [PubMed] [Google Scholar]
  69. Lopez William D., Kruger Daniel J., Delva Jorge, Llanes Mikel, Ledón Charo, Waller Adreanne, Harner Melanie, Martinez Ramiro, Sanders Laura, Harner Margaret and Israel Barbara 2017. “Health Implications of an Immigration Raid: Findings from a Latino Community in the Midwestern United States.” Journal of Immigrant and Minority Health 19:702–08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Miller Gregory E., Yu Tianyi, Chen Edith and Brody Gene H. 2015. “Self-Control Forecasts Better Psychosocial Outcomes but Faster Epigenetic Aging in Low-Ses Youth.” Proceedings of the National Academy of Sciences 112(33):10325–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Miranda Jeanne, McGuire Tomas G., Williams David R. and Wang Philip 2008. “Mental Health in the Context of Health Disparities.” American Journal of Psychiatry 165(9):1102–8. doi: 10.1176/appi.ajp.2008.08030333 [DOI] [PubMed] [Google Scholar]
  72. Molina Kristine M. and James Drexler 2016. “Discrimination, Internalized Racism, and Depression: A Comparative Study of African American and Afro-Caribbean Adults in the Us.” Group Processes & Intergroup Relations 19(4):439–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Moody Mia 2012. “New Media-Same Stereotypes: An Analysis of Social Media Depictions of President Barack Obama and Michelle Obama.” The Journal of New Media & Culture 8(1):1–23. [Google Scholar]
  74. Moomal Hashim, Jackson Pamela B., Stein Dan. J., Herman Allen, Myer Landon, Seedat Soraya, Madela-Mntla Edith and Williams David R. 2009. “Perceived Discrimination and Mental Health Disorders: The South African Stress and Health Study.” South African Medical Journal 99(5 Pt 2):383–9. [PMC free article] [PubMed] [Google Scholar]
  75. Mouzon Dawne M. 2013. “Can Family Relationships Explain the Race Paradox in Mental Health?”. Journal of Marriage and Family 75(2):470–85. [Google Scholar]
  76. Mouzon Dawne M. 2017. “Religious Involvement and the Black–White Paradox in Mental Health.” Race and Social Problems 9(1):63–78. [Google Scholar]
  77. Mouzon Dawne M. and McLean Jamila S. 2017. “Internalized Racism and Mental Health among African-Americans, Us-Born Caribbean Blacks, and Foreign-Born Caribbean Blacks.” Ethnicity & Health 22(1):36–48. [DOI] [PubMed] [Google Scholar]
  78. Mouzon Dawne M., Taylor Robert Joseph, Keith Verna M., Nicklett Emily J. and Chatters Linda M. 2017. “Discrimination and Psychiatric Disorders among Older African Americans.” International Journal of Geriatric Psychiatry 32(2):175–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Murry Velma McBride, Bynum Mia S., Brody Gene H., Willert Amanda and Stephens Dionne 2001. “African American Single Mothers and Children in Context: A Review of Studies on Risk and Resilience.” Clinical Child and Family Psychology Review 4(2):133–55. [DOI] [PubMed] [Google Scholar]
  80. Novak Nicole L., Geronimus Arline T. and Martinez-Cardoso Aresha M. 2017. “Change in Birth Outcomes among Infants Born to Latina Mothers after a Major Immigration Raid.” International journal of epidemiology 46(3):839–49. doi: 10.1093/ije/dyw346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Odafe Mary O., Talavera David C., Cheref Soumia, Hong Judy H. and Walker Rheeda L. 2016. “Suicide in Racial and Ethnic Minority Adults: A Review of the Last Decade.” Current Psychiatry Reviews 12(2):181–98. [Google Scholar]
  82. Odom Erica C., Vernon‐Feagans Lynne and Family Life Project Key Investigators. 2010. “Buffers of Racial Discrimination: Links with Depression among Rural African American Mothers.” Journal of Marriage and Family 72(2):346–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Oh Hans, Yang Lawrence H., Anglin Deidre M. and DeVylder Jordan E. 2014. “Perceived Discrimination and Psychotic Experiences across Multiple Ethnic Groups in the United States.” Schizophrenia Research 157(1–3):259–65. doi: 10.1016/j.schres.2014.04.036. [DOI] [PubMed] [Google Scholar]
  84. Padela Aasim I. and Heisler Michele 2010. “The Association of Perceived Abuse and Discrimination after September 11, 2001, with Psychological Distress, Level of Happiness, and Health Status among Arab Americans.” American Journal of Public Health 100(2):284–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Pager Devah and Shepherd Hana 2008. “The Sociology of Discrimination: Racial Discrimination in Employment, Housing, Credit, and Consumer Markets.” Annual Review of Sociology 34:181–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Paradies Yin and Cunningham Joan 2009. “Experiences of Racism among Urban Indigenous Australians: Findings from the Druid Study.” Ethnic and Racial Studies 32(3):548–73. [Google Scholar]
  87. Paradies Yin, Ben Jehonathan, Denson Nida, Elias Amanuel, Priest Naomi, Pieterse Alex, Gupta Arpana, Kelaher Margaret and Gee Gilbert 2015. “Racism as a Determinant of Health: A Systematic Review and Meta-Analysis.” PloS one 10(9):e0138511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Parker Christopher Sebastian 2016. “Race and Politics in the Age of Obama.” Annual Review of Sociology 42:217–30. [Google Scholar]
  89. Pascoe Elizabeth A. and Richman Laura S. 2009. “Perceived Discrimination and Health: A Meta-Analytic Review.” Psychological Bulletin 135(4):531–54. doi: 10.1037/a0016059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Pearlin Leonard I., Menaghan Elizabeth G., Lieberman Morton A. and Mullan Joseph T. 1981. “The Stress Process.” Journal of Health and Social Behavior 22:337–56. [PubMed] [Google Scholar]
  91. Pearlin Leonard I., Schieman Scott, Fazio Elena M. and Meersman Stephen C. 2005. “Stress, Health, and the Life Course: Some Conceptual Perspectives.” Journal of Health and Social Behavior 46(June):205–19. [DOI] [PubMed] [Google Scholar]
  92. Pierce Chester M. 1975. “The Ghetto: An Extreme Sleep Environment.” Journal of the National Medical Association 67(2):162. [PMC free article] [PubMed] [Google Scholar]
  93. Pole Nnamdi, Best Suzanne R., Metsler Thomas and Marmar Charles R. 2005. “Why Are Hispanics at Greater Risk for Ptsd?”. Cultural Diversity and Ethnic Minority Psychology 11(2):144–61. [DOI] [PubMed] [Google Scholar]
  94. Priest Naomi, Paradies Yin, Trenerry Brigid, Truong Mandy, Karlsen Saffron and Kelly Yvonne 2013. “A Systematic Review of Studies Examining the Relationship between Reported Racism and Health and Wellbeing for Children and Young People.” Social Science & Medicine 95:115–27. [DOI] [PubMed] [Google Scholar]
  95. Priest Naomi, Slopen Natalie, Woolford Susan, Philip Jeny Tony, Singer Dianne, Kauffman Anna Daly, Moseley Kathryn, Davis Matthew, Ransome Yusuf and Williams David R. 2018. “Stereotyping across Intersections of Race and Age: Racial Stereotyping among White Adults Working with Children.” PLoS One 13(9):e0205614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Ren Xinhua S., Amick Benjamin C. and Williams David R. 1999. “Racial/Ethnic Disparities in Health: The Interplay between Discrimination and Socioeconomic Status.” Ethnicity & Disease 9(2):151–65. [PubMed] [Google Scholar]
  97. Sabin Janice A., Nosek Brian A., Greenwald Anthony G. and Rivara Frederick P. 2009. “Physicians’ Implicit and Explicit Attitudes About Race by Md Race, Ethnicity, and Gender.” Journal of Health Care for the Poor and Underserved 20(3):896–913. doi: 10.1353/hpu.0.0185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Sawyer Pamela J., Major Brenda, Casad Bettina J., Townsend Sarah SM and Mendes Wendy Berry 2012. “Discrimination and the Stress Response: Psychological and Physiological Consequences of Anticipating Prejudice in Interethnic Interactions.” American Journal of Public Health 102(5):1020–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Schulz Amy J., Gravlee Clarence C., Williams David R., Israel Barbara A., Mentz Graciela and Rowe Zachary 2006. “Discrimination, Symptoms of Depression, and Self-Rated Health among African American Women in Detroit: Results from a Longitudinal Analysis.” American Journal of Public Health 96(7):1265–70. doi: 10.2105/ajph.2005.064543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Segal Steven R., Bola John R. and Watson Margaret A. 1996. “Race, Quality of Care, and Antipsychotic Prescribing Practices in Psychiatric Emergency Services.” Pscyhiatric Services 47(3):282–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Smedley Brian D., Stith Adrienne Y. and Nelson Alan R. 2003. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: National Academy Press. [PubMed] [Google Scholar]
  102. Steele Claude M. 1997. “A Threat in the Air: How Stereotypes Shape Intellectual Identity and Performance.” American Psychologist 52(6):613–29. [DOI] [PubMed] [Google Scholar]
  103. Sternthal Michelle J., Slopen Natalie and Williams David R. 2011. “Racial Disparities in Health: How Much Does Stress Really Matter?”. Du Bois Review: Social Science Research on Race 8(1):95–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Quiroga Szkupinski, Seline Medina, Dulce M and Glick Jennifer 2014. “In the Belly of the Beast: Effects of Anti-Immigration Policy on Latino Community Members.” American Behavioral Scientist 58(13):1723–42. [Google Scholar]
  105. Taylor J and Grundy C 1996. “Nadanolitization [Nad] Scale (1978).” Pp. 217–26 in Handbook of Tests and Measurements for Black Populations, Vol. 2, edited by Jones RL Hampton, VA: Cobb & Henry Publishers. [Google Scholar]
  106. Taylor Jerome and Jackson Beryl 1990. “Factors Affecting Alcohol Consumption in Black Women, Part Ii.” The International Journal of Addictions 25(12):1415–27. [DOI] [PubMed] [Google Scholar]
  107. Taylor Jerome, Henderson Delores and Jackson Beryl. B. 1991. “A Holistic Model for Understanding and Predicting Depression in African American Women.” Journal of Community Psychology 19:306–20. [Google Scholar]
  108. Taylor Jerome and Jackson Beryl B. 1991. “Evaluation of a Holistic Model of Mental Health Symptoms in African American Women.” Journal of Black Psychology 18:19–45. [Google Scholar]
  109. Thoits Peggy A. 2010. “Stress and Health Major Findings and Policy Implications.” Journal of Health and Social Behavior 51(1 suppl):S41–S53. doi: 10.1177/0022146510383499. [DOI] [PubMed] [Google Scholar]
  110. Toomey Russell B., Umaña-Taylor Adriana J., Williams David R., Harvey-Mendoza Elizabeth, Jahromi Laudan B. and Updegraff Kimberly A. 2014. “Impact of Arizona’s Sb 1070 Immigration Law on Utilization of Health Care and Public Assistance among Mexican-Origin Adolescent Mothers and Their Mother Figures.” American Journal of Public Health 104 Suppl 1:S28–34. doi: 10.2105/ajph.2013.301655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Jay. Turner, R. 2013. “Understanding Health Disparities: The Relevance of the Stress Process Model.” Society and Mental Health 3(3):170–86. [Google Scholar]
  112. Turney Kristin, Kissane Rebecca and Edin Kathryn 2013. “After Moving to Opportunity: How Moving to a Low-Poverty Neighborhood Improves Mental Health among African American Women.” Society and Mental Health 3(1):1–21. [Google Scholar]
  113. Umaña-Taylor Adriana J., Tynes Brendesha M., Toomey Russell B., Williams David R. and Mitchell Kimberly J. 2015. “Latino Adolescents’ Perceived Discrimination in Online and Offline Settings: An Examination of Cultural Risk and Protective Factors.” Developmental Psychology 51(1):87–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Umberson Debra 2017. “Black Deaths Matter: Race, Relationship Loss, and Effects on Survivors.” Journal of Health and Social Behavior 58(4):405–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. van Ryn Michelle, Burgess Diana J., Dovidio John F., Phelan Sean M., Saha Somnath, Malat Jennifer, Griffin Joan M., Fu Steven S. and Perry Sylvia 2011. “The Impact of Racism on Clinician Cognition, Behavior, and Clinical Decision Making.” Du Bois Review 8(1):199–218. doi: 10.1017/S1742058X11000191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Vega William A. and Rumbaut Ruben G. 1991. “Ethnic Minorities and Mental Health.” Annual Review of Sociology 17:351–83. [Google Scholar]
  117. Wallace Stephanie, Nazroo James and Bécares Laia 2016. “Cumulative Effect of Racial Discrimination on the Mental Health of Ethnic Minorities in the United Kingdom.” American Journal of Public Health 106(7):1294–300. doi: 10.2105/AJPH.2016.303121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Wildeman Christopher and Wang Emily A. 2017. “Mass Incarceration, Public Health, and Widening Inequality in the USA.” The Lancet 389(10077):1464–74. [DOI] [PubMed] [Google Scholar]
  119. Wildeman Christopher, Goldman Alyssa W. and Turney Kristin 2018. “Parental Incarceration and Child Health in the United States.” Epidemiologic Reviews 40(1):146–56. [DOI] [PubMed] [Google Scholar]
  120. Williams David R., Lavizzo-Mourey Risa and Warren Rueben C. 1994. “The Concept of Race and Health Status in America.” Public Health Reports 109(1):26. [PMC free article] [PubMed] [Google Scholar]
  121. Williams David R., Yu Yan, Jackson James S. and Anderson Norman B. 1997. “Racial Differences in Physical and Mental Health: Socioeconomic Status, Stress, and Discrimination.” Journal of Health Psychology 2(3):335–51. [DOI] [PubMed] [Google Scholar]
  122. Williams David R. and Collins Chiquita 2001. “Racial Residential Segregation: A Fundamental Cause of Racial Disparities in Health.” Public Health Reports 116(5):404–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Williams David R., Neighbors Harold W. and Jackson James S. 2003. “Racial/Ethnic Discrimination and Health: Findings from Community Studies.” American Journal of Public Health 93(2):200–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Williams David R., Gonzalez Hector M., Neighbors Harold, Nesse Randolph, Abelson Jamie, Sweetman Julie and Jackson James S. 2007. “Prevalence and Distribution of Major Depressive Disorder in African Americans, Caribbean Blacks, and Non-Hispanic Whites: Results from the National Survey of American Life.” Archives of General Psychiatry 64(3):305–15. [DOI] [PubMed] [Google Scholar]
  125. Williams David R., Gonzalez Hector M., Williams Stacey, Mohammed Selina. A., Moomal Hashim and Stein Dan J. 2008. “Perceived Discrimination, Race and Health in South Africa.” Social Science & Medicine 67(3):441–52. doi: 10.1016/j.socscimed.2008.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Williams David R. and Mohammed Selina A. 2009. “Discrimination and Racial Disparities in Health: Evidence and Needed Research.” Journal of Behavioral Medicine 32(1):20–47. doi: 10.1007/s10865-008-9185-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Williams David R. and Mohammed Selina A. 2013. “Racism and Health I: Pathways and Scientific Evidence.” American Behavioral Scientist 57(8):1152–73. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES