Profiles of online racism exposure and mental health among Asian, Black, and Latinx emerging adults in the United States.

Online racism is a digital social determinant to health inequity and an acute and widespread public health problem. To explore the heterogeneity of online racism exposure within and across race, we latent class modelled this construct among Asian (n = 310), Black (n = 306), and Latinx (n = 163) emerging adults in the United States and analysed key demographic and psychosocial health correlates. We observed Low and Mediated Exposure classes across all racial groups, whereas High Exposure classes appeared among Asian and Black people and the Systemic Exposure classes emerged uniquely in Asian and Latinx people. Generally, the High Exposure classes reported the greatest psychological distress and unjust views of society compared to all other classes. The Mediated and Systemic Exposure classes reported greater mental health costs than the Low Exposure classes. Asian women were more likely to be in the Mediated Exposure class compared to the Low Exposure class, whereas Black women were more likely to be in the Mediated Exposure class compared to both High and Low Exposure classes. About a third of each racial group belonged to the Low Exposure classes. Our findings highlight the multidimensionality of online racism exposure and identify hidden yet divergently risky subgroups. Research implications include examination of class membership chronicity and change over time, online exposure to intersecting oppressions, and additional antecedents and health consequences of diverse forms of online racism exposure.

Gendered racism, family and external shame, depressive symptoms, and alcohol use severity among Asian American men.

OBJECTIVE: We investigated whether gendered racism predicts depressive symptoms and alcohol use severity among Asian American men (AAM) through indirect relations via culture-specific family and external shame. METHOD: We analyzed convenience data from 409 AAM. Sample age (M = 21.24), nativity, ethnicity, education, income, and self-reported social class were diverse and controlled for. We path modeled direct associations among gendered racism and depressive symptoms and alcohol use severity, and their indirect (mediated) associations through family and external shame. RESULTS: About 21% and 25% of the sample met the clinical cutoffs for depressive symptoms and risky alcohol use, respectively. Gendered racism predicted depressive symptoms indirectly via external shame, and predicted alcohol use severity directly and indirectly via family shame. The hypothesized model fits the data better than an alternative model with shame factors as predictors. CONCLUSION: Gendered racism is an insidious psychiatric risk factor for AAM and appears to exacerbate family and external shame, which may subsequently and divergently increase depressive symptoms and alcohol use severity. Findings highlight the role of cultural factors within gendered racism-related stress processes among AAM. Future research should consider longitudinal designs and additional mediating and outcome variables to examine the behavioral health sequelae of gendered racism among AAM. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

COVID-19 Racism, Depressive Symptoms, Drinking to Cope Motives, and Alcohol Use Severity Among Asian American Emerging Adults.

The COVID-19 pandemic has incited widespread anti-Asian racism, which is linked to numerous behavioral health consequences including depressive symptoms. As racism-induced depressive symptoms are linked to coping-related alcohol use and because alcohol-related problems represent a significant public health concern in this population, we investigated whether COVID-19 racism predicted alcohol use severity through depressive symptoms and drinking to cope motives among Asian American emerging adults (N = 139; Mage = 23.04; 50% women, 50% men). We conducted a serial mediation wherein COVID-19 racism predicted alcohol use severity sequentially through depressive symptoms and drinking to cope motives. COVID-19 racism directly and significantly predicted alcohol use severity. The indirect effect via depressive symptoms and drinking to cope motives was also significant, suggesting that COVID-19 racism is likely a risk factor for alcohol-related problems. Results inform intervention science and highlight the need for policy and behavioral health services to curb COVID-19 racism.

Reducing Internalized Homonegativity: Refinement and Replication of an Online Intervention for Gay Men.

We refined and replicated an efficacious brief intervention to reduce internalized homonegativity (IH) with a sample of gay and exclusively same-sex attracted men recruited from outside of LGBT community networks using Amazon Mechanical Turk. We sought to 1) determine if levels of IH differed between the original study's community-based sample and our non-community-based sample, 2) examine the efficacy of the replicated intervention, and 3) assess for longitudinal effects of the intervention at a 30-day follow-up. Four hundred eighty-four participants completed either the intervention or a stress management control condition. Mean levels of IH were higher in the current sample compared with the earlier study's community sample. The intervention was efficacious at reducing global IH, reducing personal homonegativity, and increasing gay affirmation. Ninety-six participants completed the follow-up; follow-up results were not significant and may have been affected by high rates of attrition. Implications for research and practice are discussed.

L or G or B or T: Matching Sexual and Gender Minorities with Subpopulation-Specific Interventions.

Sexual and gender minorities (SGM) may benefit from psychological interventions tailored to specific subpopulations (e.g., lesbians, gay men, bisexual people, transgender people) given differing experiences with stigma. However, determining the inclusion/exclusion process for subpopulation-specific interventions is challenging and recommendations for this process are scarce. We developed and evaluated a matching procedure to place 1183 SGM participants into four targeted online interventions designed to reduce internalized stigma for lesbian, gay, bisexual, and transgender people. We evaluated participant attrition, efficacy, satisfaction with placement, and qualitative feedback across the four interventions. Results indicated that our matching procedure was time-efficient and largely successful in terms of low attrition, high satisfaction, and reaching segments of the SGM population not usually captured with the LGBT acronym. Based on these findings, we offer six practical guidelines for devising the inclusion/exclusion process or matching procedure for future subpopulation-specific SGM interventions studies.

Syndemic behavioral risk and suicidality among bisexual adolescents: A latent class analysis.

OBJECTIVE: We explored the internal structure of within-group variation in the syndemic construct among bisexual adolescents, an understudied and highly vulnerable population known to experience health disparities compared with monosexuals (those attracted to a single gender). We sought to identify patterns of co-occurrence among three domains of high priority behavioral risks-sexual risk factors, substance use, and victimization-and their implications for suicidality. METHOD: We used a national sample of 1,053 ethnically/racially diverse, high school age bisexual adolescents drawn from the 2015 Youth Risk Behavior Surveillance System (YRBSS). We applied latent class analysis (LCA) to 15 indicators measuring the three aforementioned domains and modeled predictors and an outcome of class membership. RESULTS: Within-group variation in the syndemic construct appears categorical, systematic, and comprised of Low Risk (38%), Alcohol Use (20%), Peer-victimization (14%), Sexually Active (11%), Syndemic (11%), and Risk-taking (7%) classes. Classes were well-separated per classification statistics. The proportions of bisexual identification, sex, and race varied significantly across classes. Syndemic and Peer-victimization classes were equivalent and elevated in their suicidality risk, out of all classes. CONCLUSIONS: Results revealed multiple and diverging forms of conjoint behavioral risk that conferred differential health implications; illuminated the shape and functional form of the syndemic construct among bisexual adolescents; and illustrated the utility of LCA for classifying typologies of risky and normative health behavior patterns. Psychologists are recommended to carefully consider the comorbidly operant nature of behavioral risks in this population. Future directions include addressing replication, multiple-group invariance, additional auxiliary variables, and alternative mixture techniques. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Correction to: A Latent Profile Analysis of Bisexual Identity: Evidence of Within-Group Diversity.

This article has been corrected with the following revisions for errors unaddressed in the copy editing process. All of the revisions herein were technical in nature and did not substantively change any aspect of the content of the article, including main arguments and findings. The first author appreciates the understanding of the readers.

A Latent Profile Analysis of Bisexual Identity: Evidence of Within-Group Diversity.

Bisexual people experience unique psychosocial vulnerabilities and their mental health needs and social identity remain underserved and understudied, respectively. We report results from a latent profile analysis where we identified a preliminary typology of bisexual identity subgroups and its association with demographic and mental health variables. Bisexual+ adults (N = 292) residing in the U.S. were recruited from Amazon Mechanical Turk and administered a demographic survey, indicators of bisexual identity, and measures of internalizing symptoms and self-esteem. Joint consideration of statistical and substantive criteria in the modeling process yielded a well-differentiated and qualitatively distinctive three-profile solution comprised of Affirmative (e.g., having a positive orientation towards one's bisexuality), Vigilant (e.g., being significantly concerned about others' reactions to one's bisexuality), and Ambivalent (e.g., endorsing mixed but generally negative attitudes and beliefs about one's bisexuality) profiles of bisexual identity. Auxiliary analyses revealed conceptually and statistically significant associations among profile membership, demographic covariates, and mental health outcomes. Some key findings included that compared to the Affirmative profile, men and people of color were overrepresented in the Ambivalent profile, whereas men were overrepresented in the Vigilant profile. Bisexuals with a Vigilant profile displayed the poorest mental health constellation. Our findings highlight the categorically heterogeneous nature of bisexual identity, support the relevance of social identity to mental health among bisexuals, and represent the first attempt to model bisexual identity using mixture techniques. Future studies should consider larger and more demographically diverse samples, address replicability and generalizability, examine additional auxiliary variables, and investigate longitudinal developments in profiles.

Development and evaluation of the Internalized Racism in Asian Americans Scale (IRAAS).

This article presents the development and psychometric evaluation of the Internalized Racism in Asian Americans Scale (IRAAS), which was designed to measure the degree to which Asian Americans internalized hostile attitudes and negative messages targeted toward their racial identity. Items were developed on basis of prior literature, vetted through expert feedback and cognitive interviews, and administered to 655 Asian American participants through Amazon Mechanical Turk. Exploratory factor analysis with a random subsample (n = 324) yielded a psychometrically robust preliminary measurement model consisting of 3 factors: Self-Negativity, Weakness Stereotypes, and Appearance Bias. Confirmatory factor analysis with a separate subsample (n = 331) indicated that the proposed correlated factors model was strongly consistent with the observed data. Factor determinacies were high and demonstrated that the specified items adequately measured their intended factors. Bifactor modeling further indicated that this multidimensionality could be univocally represented for the purpose of measurement, including the use of a mean total score representing a single continuum of internalized racism on which individuals vary. The IRAAS statistically predicted depressive symptoms, and demonstrated statistically significant correlations in theoretically expected directions with four dimensions of collective self-esteem. These results provide initial validity evidence supporting the use of the IRAAS to measure aspects of internalized racism in this population. Limitations and research implications are discussed. (PsycINFO Database Record