Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

There is abundant evidence about the negative impact of discrimination on well-being, but less research on factors that can reduce this negative effect, mainly focused on North American samples and with incipient development on South–South migration. The objective of this research was to analyze the effect of ethnic identity on the relationship between the experience of racial and ethnic discrimination and psychological well-being in Colombian immigrants living in Chile. A total of 962 immigrants over the age of 18 from three cities in Chile participated. Of these, 50.7% were women. The average age was 35 years (SD = 10.23). Participants were evaluated using Ryff’s Psychological Well-Being Scales, Phinney’s adapted version of the Multigroup Ethnic Identity Scale, and Krieger’s Discrimination Experience Scale. After the analysis of the measurement models, a mediation model was analyzed using structural equations. The results provide evidence that ethnic and racial discrimination have negative effects on psychological well-being, with the effect of racial discrimination being greater. Likewise, ethnic identity has positive effects on psychological well-being and partially and completely mediates the effects of ethnic and racial discrimination on psychological well-being. The full effect of discrimination on psychological well-being, mediated by ethnic identity, is exercised only by racial discrimination and not by ethnic discrimination.

Indonesia has a wide variety of ethnic, so it is very vulnerable to various conflicts such as discriminatory treatment of ethnic minorities. Despite laws prohibiting racial and ethnic discrimination, discriminatory acts still occur in some parts of Indonesia. Discrimination against ethnic minorities is a serious and complex problem and can take many forms, such as unfair treatment, negative stereotypes, exclusion, restrictions on access to resources and opportunities, and acts of violence and persecution that harm ethnic minorities. Some ethnic minorities that often experience discrimination in Indonesia include ethnic Chinese, Papuans, Dayaks, and several other ethnicities. One of the main causes of ethnic discrimination is due to prejudices and stereotypes that develop in society. These stereotypes often lead to the exclusion of ethnic minorities. Ethnic identity plays an important role in shaping perceptions, attitudes, and behaviors of individuals and groups, and can provide valuable insights for the management and handling of issues of ethnic discrimination. This can be the focus of research to identify how the role of ethnic identity can provide a deeper understanding of how ethnic identity can be used as a tool in addressing ethnic minority discrimination. The method in this study is qualitative descriptive with data collection techniques through literature studies such as journals, textbooks, handbooks, notes, and appendices related to the research topic, and the data analysis using content analysis. The results showed that to overcome the problem of ethnic discrimination, collective efforts from various parties are needed. In this regard, the role of media and education is very important to build awareness about diversity and reduce negative stereotypes. It is hoped that with awareness and cooperation from various parties, ethnic discrimination in Indonesia can be reduced and eliminated gradually.Keywords: Identity, Ethnicity, Discrimination, Stereotype, Minority

Using the IAT to Predict Ethnic and Racial Discrimination: Small Effect Sizes of Unknown Societal Significance

Greenwald, Banaji, and Nosek (2015) present a reanalysis of the meta-analysis by Oswald, Mitchell, Blanton, Jaccard, and Tetlock (2013) that examined the effect sizes of Implicit Association Tests (IATs) designed to predict racial and ethnic discrimination. We discuss points of agreement and disagreement with respect to methods used to synthesize the IAT studies, and we correct an error by Greenwald et al. that obscures a key contribution of our meta-analysis. In the end, all of the meta-analyses converge on the conclusion that, across diverse methods of coding and analyzing the data, IAT scores are not good predictors of ethnic or racial discrimination, and explain, at most, small fractions of the variance in discriminatory behavior in controlled laboratory settings. The thought experiments presented by Greenwald et al. go well beyond the lab to claim systematic IAT effects in noisy real-world settings, but these hypothetical exercises depend crucially on untested and, arguably, untenable assumptions.

ObjectivesResearch and policies in the United Kingdom have repeatedly highlighted the need to reduce ethnic disparities and improve engagement with mental health services among Black African and Caribbean people with psychosis. The aim of this study was to examine the role of social network characteristics and psychological factors in engagement with services in Black people with psychosis.MethodsA cross‐sectional study was conducted with 51 Black African and Caribbean adults with non‐affective psychosis and currently receiving care from mental health services in England. Measures were completed to examine relationships between social networks, illness perceptions, perceived racial or ethnic discrimination in services, internalized stigma, and current engagement with services from service user and staff perspectives.ResultsSocial network composition (ethnic homogeneity) moderately correlated with better service user and staff reported engagement. Greater perceived personal control over problems was associated with better staff reported engagement. Lower perceived ethnic or racial discrimination in services, and specific illness perceptions (higher perceived treatment control, greater self‐identification with psychosis symptoms, more concern and greater emotional response related to problems) were associated with better service user reported engagement. Internalized stigma was not associated with service engagement. Multivariate regression analyses suggested that a more ethnically homogenous social network was the strongest predictor of better service user and staff reported engagement.ConclusionsPsychosocial interventions that target social networks, perceived ethnic and racial discrimination in services, and illness perceptions may facilitate better engagement and improve outcomes. Further longitudinal studies are required to examine causal mechanisms.

During the coronavirus disease 2019 (COVID-19) pandemic, a growing prevalence of racial and ethnic discrimination occurred when many Americans struggled to maintain healthy lifestyles. This study investigated the associations of racial and ethnic discrimination with changes in exercise and screen time during the pandemic in the United States. We included 2,613 adults who self-identified as non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, or Hispanic from the Health, Ethnicity, and Pandemic study, a cross-sectional survey conducted among a nationally representative sample of United States adults between October and November 2020. We assessed self-reported racial and ethnic discrimination by measuring COVID-19-related racial and ethnic bias and examined its associations with changes in exercise and screen time using multivariable logistic regression models. We analyzed data between September 2021 and March 2022. COVID-19-related racial and ethnic bias was associated with decreased exercise time among non-Hispanic Asian (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.13 to 1.89) and Hispanic people (OR, 1.91; 95% CI, 1.32 to 2.77), and with increased screen time among non-Hispanic Black people (OR, 1.94; 95% CI, 1.33 to 2.85), adjusting for age, sex, education, marital status, annual household income, insurance, and employment status. Racial and ethnic discrimination may have adversely influenced exercise and screen time changes among racial and ethnic minorities during the COVID-19 pandemic in the United States. Further studies are needed to investigate the mechanisms through which racial and ethnic discrimination can impact lifestyles and to develop potential strategies to address racial and ethnic discrimination as a barrier to healthy lifestyles.

This article compares feelings of discomfort and experiences of discrimination attributed to racial and ethnic difference among visible minorities and two white groups: “Europeans” and “white charter” individuals. In conducting the analysis, attention is given to the role of location by examining how responses vary in three types of locations in Canada: large and diverse metropolitan areas, smaller “second‐tier” cities, and towns and rural areas. Using the Ethnic Diversity Survey (EDS) as the principal data source, the results of descriptive and explanatory multivariate analyses are presented. Logistic regression analyses confirm that race frequently is interpreted as underlying experiences of discomfort and discrimination in Canada, with visible minorities much more likely to report racial and ethnic discomfort and discrimination than the two white groups. While location is not strongly related to racial and ethnic discrimination, it has a significant impact on reports of discomfort. Residents of Montreal, Toronto, and Vancouver are more likely to report racial and ethnic discomfort than those living in non‐metropolitan areas. As others have reported in Australia and Great Britain, living in diverse social environments where negotiation of difference is an everyday necessity heightens discomfort. The findings highlight geographical variations in the lived experience of multiculturalism that warrant further investigation.

The Ethnic Minority‐Majority Income Gap in Rural China during Transition

Discrimination, Racial and Ethnic

Asian Indians were the first South Asians to immigrate to the United States in the late 1800s and are currently the largest ethnic group of South Asians living in the United States. Despite this the literature on perceived ethnic and racial discrimination experiences among this group is relatively understudied. The documented experiences of Asian Indians who either recently immigrated from India or were born and raised in America pose an important question: what are the experiences of perceived discrimination among Asian Indians living in America, particularly among younger populations who are continuing to develop their racial and ethnic identities? The current study utilized phenomenological methodology to explore the experiences of nine Asian Indian American adolescents' (ages 12–17 years). Data were collected via semi-structured interviews to assess participants' experiences of ethnic and racial discrimination and identity development. Thematic analysis was used to identify themes and subthemes among the participants' responses. Asian Indian adolescents living in the United States report experiencing discrimination at a young age. It is also evident that Asian Indian youth experience significant challenges when developing their sense of ethnic and racial identity while living within the United States. Findings document the racial and ethnic discrimination that Asian Indian adolescents living in the United States may experience from a young age. Importantly, these discrimination experiences are occurring as Asian Indian adolescents are developing their racial and ethnic identities. This study provides insight for future research, which is necessary to fully understand the experiences of Asian Indian adolescents.

Drawing from cultural ecological models of adolescent development, the present research investigates how early adolescents received ethnic–racial socialization from parents as well as how experiences of ethnic and racial discrimination are associated with their ethnic identity (i.e., centrality, private regard, and public regard). Data for this study were drawn from a multimethod study of ethnically and socioeconomically diverse early adolescents in three mid‐ to high‐achieving schools in New York City. After accounting for the influences of race/ethnicity, social class, gender, immigrant status, and self‐esteem, parental ethnic–racial socialization was associated with higher levels of ethnic centrality (i.e., the extent to which youth identify themselves in terms of their group), more positive private regard (i.e., feelings about one's own ethnic group), and public regard (i.e., perceptions of other people's perceptions of their ethnic group). Ethnic discrimination from adults at school and from peers was associated with more negative perceptions of one's ethnic group (i.e., public regard). In addition, the association of ethnic–racial parent socialization and ethnic identity beliefs was stronger for those who reported higher levels of adult discrimination. Results highlight key ways in which ethnic identity may be shaped by the social ecologies in which adolescents are embedded.

Investigating racial and ethnic discrimination in medical education is crucial for addressing disparities and fostering an inclusive environment. To assess how racial and ethnic discrimination in medical school is associated with personal and professional identity formation (PPIF) by race and ethnicity. This retrospective cross-sectional study used deidentified data on 37 610 medical students who matriculated in 2014 or 2015 and took the Association of American Medical Colleges Graduation Questionnaire (GQ) between 2016 and 2020. Statistical analysis was performed from September 1 to November 20, 2023. Experiences of racial and ethnic discrimination were assessed through responses to 3 GQ questions about denial of opportunities, offensive remarks or names, and lower evaluations or grades due to race or ethnicity. Personal and professional development were measured as 2 separate outcomes using 2 GQ statements rated on a 5-point Likert scale (where 1 indicated strongly disagree and 5 indicated strongly agree): "My medical school has done a good job fostering and nurturing my development as a person" and "My medical school has done a good job fostering and nurturing my development as a physician." Variables of personal and professional development were both dichotomized. Of 37 610 medical students, 18 200 (48.4%) were female, and 19 410 (51.6%) were male; 2458 (6.5%) were African American or Black, 7801 (20.7%) were Asian, 2430 (6.5%) were Hispanic, 21 380 (56.9%) were White, 2404 (6.4%) were multiracial, and 1137 (3%) were other race or ethnicity. Most respondents attested that their medical school fostered their personal (27 272 [72.5%]) and professional (34 560 [91.9%]) development. African American or Black students reported the lowest rates of personal (1603 of 2458 [65.2%]) and professional (2182 of 2458 [88.8%]) development, and experienced lower likelihoods of personal (adjusted risk ratio [ARR], 0.89 [95% CI, 0.86-0.93]) and professional (ARR, 0.95 [95% CI, 0.94-0.97]) development than White students. Racial discrimination was inversely associated with development, with the highest PPIF rates among those never experiencing discrimination (personal, 25 089 of 33 508 [74.9%]; and professional, 31 257 of 33 508 [93.3%]). Those experiencing isolated discrimination (personal: ARR, 0.83 [95% CI, 0.80-0.87]; professional: ARR, 0.92 [95% CI, 0.91-0.95]) and recurrent discrimination (personal: ARR, 0.63 [95% CI, 0.60-0.66]; professional: ARR, 0.82 [95% CI, 0.80-0.84]) had relatively lower likelihoods of PPIF. African American or Black students experienced the highest rate of recurrent discrimination (543 of 2458 [22.1%]). No significant PPIF risk differences were found for other racial and ethnic groups underrepresented in medicine without discrimination compared with White students without discrimination, but all groups with recurrent discrimination had relatively lower PPIF risk. In this cross-sectional study of US medical students, racial and ethnic discrimination was associated with lower PPIF across all racial and ethnic groups compared with White students without such experiences. African American or Black students disproportionately faced this discrimination. Systemic changes in medical education are needed to combat discrimination and ensure equity in holistic student development.

Racial and ethnic discrimination in health care have been associated with suboptimal use of health care. However, limited research has examined how facets of health care utilization influence, and are influenced by, discrimination. This study aimed to determine if type of insurance coverage and location of usual source of care used were associated with perceptions of racial or ethnic discrimination in health care. Additionally, this study examined if perceived racial or ethnic discrimination influenced delaying or forgoing prescriptions or medical care. Data from the 2015-2016 California Health Interview Survey were used. Logistic regression models estimated odds of perceiving racial or ethnic discrimination from insurance type and location of usual source of care. Logistic regression models estimated odds of delaying or forgoing medical care or prescriptions. Responses for 39,171 adults aged 18 and over were used. Key health care utilization variables were as follows: current insurance coverage, location of usual source of care, delaying or forgoing medical care, and delaying or forgoing prescriptions. We examined if these effects differed by race. Ever experiencing racial or ethnic discrimination in the health care setting functioned as a dependent and independent variable in analyses. When insurance type and location of care were included in the same model, only the former was associated with perceived discrimination. Specifically, those with Medicaid had 66% higher odds of perceiving discrimination, relative to those with employer-sponsored coverage (AOR = 1.66; 95% CI 1.11, 2.47). Race did not moderate the impact of discrimination. Perceived discrimination was associated with higher odds of delaying or forgoing both prescriptions (AOR = 1.97; 95% CI 1.26, 3.09) and medical care (AOR = 1.84; 95% CI 1.31, 2.59). Health care providers have an opportunity to improve the experiences of their patients, particularly those with publiclysponsored coverage.

The aims of this study were to determine the factor structure and psychometric properties (i.e., reliability and convergent validity) of the Malaysian Multi-Ethnic Discrimination Scale (MMEDS). It consists of 71-items measure experience, strategies used and consequences of ethnic discrimination. A sample of 649 university students from one of the higher education institution in Malaysia was asked to complete MMEDS, as well as Perceived Ethnic and Racial Discrimination. The exploratory factor analysis on ethnic discrimination experience extracted two factors labeled 'unfair treatment' (15 items) and 'Denial of the ethnic right' (12 items) which accounted for 60.92% of the total variance. The two sub scales demonstrated clear reliability with internal consistency above .70. The convergent validity of the Scale was supported by an expected pattern of correlations (positive and significant correlation) between the score of unfair treatment and denial of the ethnic right and the score of Perceived Ethnic and Racial Discrimination by Peers Scale. The results suggest that the MMEDS is a reliable and valid measure. However, further studies need to be carried out in other groups of sample as to validate the Scale.

The impact of anticipated, vicarious, and experienced racial and ethnic discrimination on depression and suicidal behavior among Chicago youth