Expressive writing treatments to reduce PTSD symptom severity and negative alcohol-related outcomes among trauma-exposed sexual minority women and transgender/nonbinary people: Study protocol for a mixed-method pilot trial.

Background: Sexual minority women (SMW) and transgender and/or nonbinary (TNB) individuals report an elevated prevalence of posttraumatic stress disorder (PTSD) symptoms and negative alcohol-related outcomes compared to heterosexual women and cisgender people. SMW and TNB individuals also face barriers to utilizing treatment, which can result in delayed or missed appointments. Accessible, feasible, and effective treatment approaches, such as web-based expressive writing (EW) treatments, are needed to address PTSD and negative alcohol-related outcomes in these populations. Method: We describe the design of a mixed-method pilot randomized controlled trial which will compare an EW treatment adapted for SMW and TNB people (stigma-adapted EW) and trauma (i.e., non-adapted) EW with an active (neutral-event) control to determine acceptability and feasibility of a future fully powered randomized controlled trial. The sample will include 150 trauma-exposed SMW and TNB individuals from across the United States who will be randomly assigned to stigma-adapted EW (n = 50), trauma EW (n = 50), or control (n = 50). Participants will be assessed before treatment, one-week after the first writing session, and three-months after the first writing session. This paper identifies steps for evaluating the acceptability and feasibility of the proposed study and determining changes in outcomes resulting from adapted and non-adapted EW treatments to inform refinements. This paper also highlights our strategy for testing theory-driven mediators and moderators of treatment outcomes. Conclusions: This mixed-method pilot trial will inform the first fully powered, self-administered, brief web-based treatment to reduce PTSD symptom severity and negative alcohol-related outcomes among trauma-exposed SMW and TNB individuals.

A quasi-experimental study examining the efficacy of multimodal bot screening tools and recommendations to preserve data integrity in online psychological research.

Bots are automated software programs that pose an ongoing threat to psychological research by invading online research studies and their increasing sophistication over time. Despite this growing concern, research in this area has been limited to bot detection in existing data sets following an unexpected encounter with bots. The present three-condition, quasi-experimental study aimed to address this gap in the literature by examining the efficacy of three types of bot screening tools across three incentive conditions ($0, $1, and $5). Data were collected from 444 respondents via Twitter advertisements between July and September 2021. The efficacy of five task-based (i.e., anagrams, visual search), question-based (i.e., attention checks, ReCAPTCHA), and data-based (i.e., consistency, metadata) tools was examined with Bonferroni-adjusted univariate and multivariate logistic regression analyses. In general, study results suggest that bot screening tools function similarly for participants recruited across incentive conditions. Moreover, the present analyses revealed heterogeneity in the efficacy of bot screening tool subtypes. Notably, the present results suggest that the least effective bot screening tools were among the most commonly used tools in existing literature (e.g., ReCAPTCHA). In sum, the study findings revealed highly effective and highly ineffective bot screening tools. Study design and data integrity recommendations for researchers are provided. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

High-risk polysubstance use among LGBTQ+ people who use drugs in the United States: An application of syndemic theory.

BACKGROUND: Compared to heterosexual and cisgender people, lesbian, gay, bisexual, transgender, queer, and other sexual and gender minority (LGBTQ+) people are more likely to develop problems with high-risk polysubstance use. According to syndemic theory, this disparity in high-risk polysubstance use is produced by the LGBTQ+ community's increased vulnerability to experiencing psychosocial (e.g., discrimination, unwanted sex) and structural (e.g., food insecurity, homelessness) conditions, greater likelihood of coping with concurrent health problems (e.g., human immunodeficiency virus [HIV]), and decreased opportunities to develop protective factors (e.g., social support, resilience). METHODS: Data from 306 LGBTQ+ participants living in the United States (U.S.) with a lifetime history of alcohol and drug use were analyzed; 21.2% reported lifetime problems with 10 different drugs. Bootstrapped hierarchical multiple regression was used to test demographic correlates and syndemic predictors of high-risk polysubstance use. One-way ANOVA and post-hoc comparison tests were used to test subgroup differences by gender. RESULTS: Results indicated that income, food insecurity, sexual orientation-based discrimination, and social support were associated with high-risk polysubstance use, explaining 43.9% of the variance of high-risk polysubstance use. Age, race, unwanted sex, gender identity-based discrimination, and resilience were not significant. Group comparison tests revealed that, compared to nonbinary people and cisgender sexual minority men and women, transgender individuals experienced significantly higher levels of high-risk polysubstance use and sexual orientation-based discrimination but significantly lower levels of homelessness and social support. CONCLUSION: This study provided further evidence for conceptualizing polysubstance use as an adverse outcome of syndemic conditions. Harm reduction strategies, anti-discrimination laws, and gender-affirming residential treatment options should be considered in U.S. drug policy. Clinical implications include targeting syndemic conditions to reduce high-risk polysubstance use among LGBTQ+ people who use drugs.

Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study.

BACKGROUND: The optimal treatment for gender dysphoria is medical intervention, but many transgender and nonbinary people face significant treatment barriers when seeking help for gender dysphoria. When untreated, gender dysphoria is associated with depression, anxiety, suicidality, and substance misuse. Technology-delivered interventions for transgender and nonbinary people can be used discretely, safely, and flexibly, thereby reducing treatment barriers and increasing access to psychological interventions to manage distress that accompanies gender dysphoria. Technology-delivered interventions are beginning to incorporate machine learning (ML) and natural language processing (NLP) to automate intervention components and tailor intervention content. A critical step in using ML and NLP in technology-delivered interventions is demonstrating how accurately these methods model clinical constructs. OBJECTIVE: This study aimed to determine the preliminary effectiveness of modeling gender dysphoria with ML and NLP, using transgender and nonbinary people's social media data. METHODS: Overall, 6 ML models and 949 NLP-generated independent variables were used to model gender dysphoria from the text data of 1573 Reddit (Reddit Inc) posts created on transgender- and nonbinary-specific web-based forums. After developing a codebook grounded in clinical science, a research team of clinicians and students experienced in working with transgender and nonbinary clients used qualitative content analysis to determine whether gender dysphoria was present in each Reddit post (ie, the dependent variable). NLP (eg, n-grams, Linguistic Inquiry and Word Count, word embedding, sentiment, and transfer learning) was used to transform the linguistic content of each post into predictors for ML algorithms. A k-fold cross-validation was performed. Hyperparameters were tuned with random search. Feature selection was performed to demonstrate the relative importance of each NLP-generated independent variable in predicting gender dysphoria. Misclassified posts were analyzed to improve future modeling of gender dysphoria. RESULTS: Results indicated that a supervised ML algorithm (ie, optimized extreme gradient boosting [XGBoost]) modeled gender dysphoria with a high degree of accuracy (0.84), precision (0.83), and speed (1.23 seconds). Of the NLP-generated independent variables, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) clinical keywords (eg, dysphoria and disorder) were most predictive of gender dysphoria. Misclassifications of gender dysphoria were common in posts that expressed uncertainty, featured a stressful experience unrelated to gender dysphoria, were incorrectly coded, expressed insufficient linguistic markers of gender dysphoria, described past experiences of gender dysphoria, showed evidence of identity exploration, expressed aspects of human sexuality unrelated to gender dysphoria, described socially based gender dysphoria, expressed strong affective or cognitive reactions unrelated to gender dysphoria, or discussed body image. CONCLUSIONS: Findings suggest that ML- and NLP-based models of gender dysphoria have significant potential to be integrated into technology-delivered interventions. The results contribute to the growing evidence on the importance of incorporating ML and NLP designs in clinical science, especially when studying marginalized populations.

Probable PTSD, PTSD symptom severity, and comorbid PTSD and hazardous drinking among sexual minority women compared to heterosexual women: A meta-analysis.

Posttraumatic stress disorder (PTSD) is more prevalent among sexual minority women (SMW) than among heterosexual women. PTSD risk varies among SMW, but no meta-analysis has clarified sexual identity-related disparities in probable PTSD among women or SMW's heterogeneity in PTSD risk. SMW are also at pronounced risk of comorbid PTSD and hazardous drinking (HD). However, the difference in comorbid PTSD/HD between SMW and heterosexual women is understudied. This meta-analysis aimed to provide a comprehensive understanding of differences between SMW and heterosexual women and among SMW across demographic characteristics. Peer-reviewed publications that were written in English and reported quantitative data on PTSD specific to SMW were included. Eligible publications (n = 45) were identified through a systematic search of 11 electronic databases, supplemented by a search of reference lists of relevant papers. We found that probable PTSD, PTSD symptom severity, and probable comorbid PTSD/HD are highly prevalent among SMW, with SMW of color, transgender and gender diverse people, and bi+ women (e.g., bisexual, pansexual, queer) being at greatest risk. These results emphasize the need to improve accurate assessment of trauma-related sequelae among SMW and to develop, disseminate, and implement culturally sensitive treatments to reduce PTSD and comorbid PTSD/HD among at-risk SMW.

Analysis of Smartphone Text Data Related to mpox from a U.S. Sample of Gay, Bisexual, and Other Men Who Have Sex with Men During the 2022 Outbreak.

Purpose: We sought to understand technology-based communication regarding mpox (monkeypox) among gay, bisexual, and other men who have sex with men (GBMSM) during the global outbreak in 2022. Methods: Forty-four GBMSM (Mage = 25.3 years, 68.2% cisgender, 43.2% non-White) living in the United States participated. From May 2022 to August 2022, all text data related to mpox (174 instances) were downloaded from the smartphones of GBMSM. Text data and smartphone app usage were analyzed. Results: Content analysis revealed 10 text-based themes and 7 app categories. GBMSM primarily used search and browser, texting, and gay dating apps to share vaccine updates, seek mpox vaccination, find general mpox information, share mpox information with other GBMSM, and discuss links between mpox and gay culture. Data visualizations revealed that changes in communication themes and app usage were responsive to major milestones in the mpox outbreak. Conclusion: GBMSM used apps to facilitate a community-driven mpox response.

Transgender Dehumanization and Mental Health: Microaggressions, Sexual Objectification, and Shame.

Using structural equation modeling in a national, nonprobabilistic sample of 292 transgender women and men, this project extends the pantheoretical dehumanization framework by testing direct and indirect relations between dehumanization (i.e., a higher-order construct from experiences of transgender microaggressions and sexual objectification), internalization processes (i.e., internalized transnegativity, self-objectification), shame, and general mental health. The model explained 55% of the variance in general mental health. Direct relations between dehumanization and all internalization processes were positive and significant. Internalized transnegativity and shame were significant, negative, direct predictors of mental health, but neither dehumanization nor self-objectification was a significant direct predictor of transgender mental health. Both self-objectification and internalized transnegativity directly predicted more feelings of shame. However, only shame yielded a significant indirect pathway from dehumanization to mental health. The indirect relations from self-objectification and internalized transnegativity to mental health through shame were significant. Research, advocacy, and clinical implications are discussed.

The Impact of the COVID-19 Pandemic on HIV-Positive Men Who Have Sex With Men: (Dis)connection to Social, Sexual, and Health Networks.

The COVID-19 pandemic has disproportionately affected HIV-positive cisgender men who have sex with men (MSM). Between May and June in 2020, we conducted one-on-one semi-structured qualitative interviews with 20 HIV-positive MSM aiming to describe their (dis)connection to social, sexual, and health networks during the COVID-19 pandemic. All participants relied on social support networks to manage pandemic-based distress, using computer-mediated communication as well as physical proximity. To connect to sexual networks, this sample described adaptations to their partner selection strategies, such as enumerating harm reduction approaches. To connect to health networks, participants depended on reassuring providers, resourceful case managers, telehealth, and streamlined access to their antiretroviral therapy (ART) medications. Nonetheless, stay-at-home recommendations reduced community connection, sexual activity, and healthcare access for many participants, and perceptions of these losses were shaped by psychosocial burdens (e.g., loneliness), structural burdens (e.g., environmental barriers, financial difficulties), and health-protective factors (e.g., hopeful outlook, adherence to a regular routine). The COVID-19 pandemic appears to have exacerbated health-related issues for HIV-positive MSM. Given the ongoing COVID-19 mutations, community-based organizations, clinicians, and researchers might use these findings to modify HIV prevention and intervention efforts.

"I Know Myself Again, Which Makes Me Motivated for Life": Feasibility and Acceptability of Using Experience Sampling Methods With Trauma-Exposed Sexual Minority Women.

Intensive longitudinal designs (e.g., experience sampling methods [ESMs]) hold promise for examining the dynamic interplay between daily adversity, coping strategies, and behavioral and mental health issues among marginalized populations. However, few studies have used intensive longitudinal designs with sexual minority women (SMW), an understudied and at-risk population. We assessed feasibility and acceptability of using once-daily, interval-contingent ESM with 161 trauma-exposed SMW (Mage = 29.1, SD = 7.57); 20.5% nonbinary; 32.3% queer; 52.2% people of color; 14.3% with annual incomes ≤$9,999; and 30.4% in Southern United States (U.S.). SMW completed one comprehensive online baseline assessment and once-daily brief online assessments for 14 days. Daily surveys assessed past-24-hour stressors, stress responses, and behavioral and mental health symptoms. At the end of the 14-day ESM period, SMW answered three open-ended questions about participating in this study and about research with SMW. Regarding feasibility, 151 participants (94.0%) initiated the post-baseline ESM study portion and 72 (45.0%) completed all 14 daily surveys. An average of 11.70 (median = 13, SD = 3.31) daily surveys (83.5%) were completed by those who initiated the ESM. ESM completion level varied by race/ethnicity and U.S. region. Qualitative acceptability data revealed several themes, namely that SMW (1) enjoyed participating and felt positively about the ESM experience, (2) felt supported to reflect on impacts of early and ongoing stressors, (3) appreciated the chance to self-reflect and challenge existing thought patterns and coping behaviors, (4) recognized their capacity to tolerate trauma-related distress, (5) recommended that researchers focus on SMW's diverse stressors and daily experiences, (6) wanted a rationale for providing sensitive information and more space to narrate their experiences, and (7) recognized the need for affirmative treatment and policies. Findings could inform modifications to ESM protocols to improve their feasibility and acceptability among trauma-exposed SMW and promote ongoing utility of this valuable method.

Associations Between Latent Classes of Trauma Exposure and Minority Stressors and Substance Use Among Cisgender Sexual Minority Women.

Psychosocial stressors (e.g., minority stressors, trauma exposure) profoundly impact sexual minority women's (SMW's) risk of alcohol and other drug (AOD) use. However, research has not examined whether there are distinct typologies (i.e., patterns) of psychosocial stressors and whether these vary based on sociodemographic characteristics or are differentially associated with AOD outcomes (e.g., alcohol dependence) among SMW. This study aimed to identify latent classes of SMW reporting distinct typologies of psychosocial stressors and examine predictors and outcomes of latent classes of psychosocial stressors among SMW. Participants included a community sample of 602 SMW (Mage = 39.9, SD = 14.0; 74.0% lesbian; 37.4% White, 36.6% Black, 22.3% Latinx; 26.6% annual income ≤$14,999). Latent class analysis was used to identify typologies of psychosocial stressors. Regression analyses were employed to examine sociodemographic predictors and AOD outcomes of class membership. Three classes of psychosocial stressors emerged. Participants in Class 1 were likely to report relatively low adversity. SMW in Class 2, who reported childhood physical abuse (CPA), severe childhood sexual abuse, and adult physical assault, were vulnerable to discrimination and stigma consciousness. A distinct subgroup of SMW (Class 3) was at heightened risk of CPA, adult sexual assault (ASA), and stigma consciousness. Older SMW, Black SMW, and SMW with lower social support were more likely to be in classes characterized by higher adversity. Older SMW were at disproportionate risk of CPA and ASA. Different combinations of psychosocial stressors were uniquely associated with AOD outcomes. Findings underscore the importance of considering within-group heterogeneity in SMW's differential risk of psychosocial stressors and AOD outcomes. Routine screening of psychosocial stressors across several dimensions, brief interventions targeting AOD outcomes, and policies mitigating structural drivers of SMW's increased risk of trauma and minority stressors may be especially important for older SMW, Black SMW, and SMW who lack social support.

Factorial Invariance of Scores on the Self-Objectification Beliefs and Behaviors Scale (SOBBS) Among Transgender and Nonbinary People.

The dimensionality and factorial invariance of scores on the Self-Objectification Beliefs and Behaviors Scale (SOBBS) were examined with a sample of 590 transgender and nonbinary participants. Results failed to disconfirm the two-factor model and provided adequate estimates of internal consistency reliability. Strong, strict, and structural invariance of scores were observed.

The Effectiveness of Didactic and Perspective-Taking Interventions on Reducing Multiple Dimensions of Heterosexism.

This study examined the effect of two interventions (didactic and perspective-taking) on five dimensions of heterosexism (hostile, aversive, amnestic, paternalistic, and positive stereotypic). Participants were 117 undergraduate students, randomly assigned to one of three groups in this posttest-only control group experiment. After the intervention, the participants completed measures of sexual prejudice, right-wing authoritarianism (RWA), gender role beliefs (GRB), and a demographic questionnaire. Results from the first step of hierarchical regression models showed that RWA and GRB were significantly predictive of all dimensions of heterosexism except for positive stereotypic, accounting for 13.8% to 56.7% of the variance. This suggests that interventions targeting sexual prejudice should examine both variables. When between-group comparisons were added during the second step, the didactic intervention in comparison with the control group was significantly predictive of lower paternalistic heterosexism; the perspective-taking intervention in comparison with the control group was significantly predictive of lower positive stereotypic heterosexism.

PTSD Symptoms and Hazardous Drinking Indicators among Trauma-Exposed Sexual Minority Women during Heightened Societal Stress.

Trauma-exposed sexual minority women (SMW) are at elevated risk of posttraumatic stress disorder (PTSD) and hazardous drinking compared to trauma-exposed heterosexual women. To understand whether these problems might be exacerbated during times of elevated societal stress, we collected data from a New York-based sample of trauma-exposed SMW between April 2020 and August 2020, a period of notable, compounding societal stressors, including: (a) living in or near one of the first epicenters of the coronavirus disease 2019 (COVID-19) epidemic in the United States and (b) living through multiple high-profile occurrences of racism-related police violence and subsequent racial unrest. SMW (n = 68) completed online self-report questionnaires related to trauma, PTSD symptoms, and alcohol use, and a subset (n = 29) completed semi-structured qualitative interviews. PsycINFO was searched with terms related to SMW, PTSD, and alcohol use to identify studies with samples of SMW from articles published within the last 10 years to which we could compare our sample; this produced nine studies. Welch's t-tests and Chi-square analyses revealed that SMW within our sample reported significantly higher PTSD symptom severity, probable PTSD, and hazardous drinking indicators (i.e., alcohol use disorder and heavy episodic drinking) between April 2020 and August 2020 compared to similar samples (i.e., trauma-exposed SMW and general samples of SMW) assessed previously. Qualitative reports also indicated that the societal stressors of 2020 contributed to mental and behavioral health concerns. These results underscore the need for integrated PTSD and alcohol use prevention and intervention efforts for trauma-exposed SMW during times of heightened societal stress.Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.2006132 .

Help-Seeking for Severe Intimate Partner Violence Among Sexual and Gender Minority Adolescents and Young Adults Assigned Female at birth: A Latent Class Analysis.

Sexual and gender minority adolescents and young adults assigned female at birth (SGM-AFAB) report high rates of intimate partner violence (IPV) victimization. Despite adverse health outcomes of IPV, many survivors, particularly SGM-AFAB, do not seek help. This study (1) examined the proportion of SGM-AFAB who reported severe IPV victimization who sought help; (2) elucidated patterns of help-seeking facilitators and barriers; and (3) identified associations between sociodemographic characteristics, IPV victimization types, and minority stressors and latent classes of help-seeking facilitators and barriers. Participants included 193 SGM-AFAB (Mage = 20.6, SD = 3.4; 65.8% non-monosexual; 73.1% cisgender; 72.5% racial/ethnic minority; 16.6% annual household income $20,000 or less). Most participants who experienced severe IPV did not seek help (62.2%). Having a person or provider who was aware of the participant's abusive relationship was the most common reason for seeking help (50; 68.5%). Minimizing IPV was the most common reason for not seeking help (103; 87.3%). Fewer than 5% of SGM-AFAB who experienced severe IPV and who did not seek help reported SGM-specific help-seeking barriers, including not wanting to contribute to negative perceptions of the LGBTQ community, not disclosing their SGM status, and perceiving a lack of tailored services. Help-seeking facilitators and barriers varied by sociodemographic characteristics. Three classes of help-seeking facilitators and two classes of help-seeking barriers emerged. SGM-AFAB subgroups based on sexual and gender identity, recent coercive control, and identity as IPV victims differed in latent classes. This study's findings confirm SGM-AFAB IPV survivors' low likelihood of seeking help. Our results also underscore the importance of continuing to bolster SGM-AFAB survivors' access to trauma-informed, culturally sensitive, and affirming support. Further, multilevel prevention and intervention efforts are needed to reduce minimization of abuse and anticipatory judgment and blame among SGM-AFAB who hold multiple marginalized identities, experience coercive control, and identify as IPV victims.

Developing technology-based interventions for infectious diseases: ethical considerations for young sexual and gender minority people.

Compared to their heterosexual and cisgender peers, young sexual and gender minority (YSGM) people are more likely to contract sexually transmitted infections (STIs; e.g., HIV) and to face adverse consequences of emerging infections, such as COVID-19 and mpox. To reduce these sexual health disparities, technology-based interventions (TBIs) for STIs and emerging infections among YSGM adolescents and young adults have been developed. In this Perspective, we discuss ethical issues, ethical principles, and recommendations in the development and implementation of TBIs to address STIs and emerging infections among YSGM. Our discussion covers: (1) confidentiality, privacy, and data security (e.g., if TBI use is revealed, YSGM are at increased risk of discrimination and family rejection); (2) empowerment and autonomy (e.g., designing TBIs that can still function if YSGM users opt-out of multiple features and data collection requests); (3) evidence-based and quality controlled (e.g., going above and beyond minimum FDA effectiveness standards to protect vulnerable YSGM people); (4) cultural sensitivity and tailoring (e.g., using YSGM-specific models of prevention and intervention); (5) balancing inclusivity vs. group specificity (e.g., honoring YSGM heterogeneity); (6) duty to care (e.g., providing avenues to contact affirming healthcare professionals); (7) equitable access (e.g., prioritizing YSGM people living in low-resource, high-stigma areas); and (8) digital temperance (e.g., being careful with gamification because YSGM experience substantial screen time compared to their peers). We conclude that a community-engaged, YSGM-centered approach to TBI development and implementation is paramount to ethically preventing and treating STIs and emerging infections with innovative technology.

Structural determinants of tailored behavioral health services for sexual and gender minorities in the United States, 2010 to 2020: a panel analysis.

BACKGROUND: Research indicates that tailored programming for sexual and gender minority (SGM; e.g., lesbian, gay, bisexual, transgender, queer) people, compared to non-tailored programming, is effective for reducing the disproportionate health burden SGM people experience relative to the general population. However, the availability of SGM-tailored programming is often over-reported and inconsistent across behavioral health (i.e., substance use and mental health) facilities in the United States (U.S.). METHODS: Using panel analysis, the National Survey of Substance Abuse Treatment Services (N-SSATS), and the National Mental Health Services Survey (N-MHSS), this study examines structural stigma and government funding as two structural determinants affecting the availability of SGM-tailored programming in the U.S. RESULTS: Results indicated that from 2010 to 2020, reductions in structural stigma (i.e., increases in state-level supportive SGM policies) were positively associated with increases in the proportion of substance use treatment facilities offering SGM-tailored programming. This effect was significant after controlling for over-reporting of SGM-tailored programming and time- and state-specific heterogeneity. On average, the effect of reduced structural stigma resulted in approximately two new SGM-tailored programs in the short term and about 31 new SGM-tailored programs in the long term across U.S. substance use treatment facilities. Structural stigma did not predict the availability of SGM-tailored programming in mental health treatment facilities. Government funding was not significant in either data set. However, without correcting for over-reporting, government funding became a significant predictor of the availability of SGM-tailored programming at substance use treatment facilities. CONCLUSIONS: Because SGM-tailored programming facilitates access to healthcare and the current study found longitudinal associations between structural stigma and the availability of SGM-tailored programming in substance use treatment facilities, our findings support claims that reducing structural stigma increases access to behavioral health treatment specifically and healthcare generally among SGM people. This study's findings also indicate the importance of correcting for over-reporting of SGM-tailored programming, raising concerns about how respondents perceive the N-SSATS and N-MHSS questions about SGM-tailored programming. Implications for future research using the N-SSATS and N-MHSS data and for public health policy are discussed.

A latent class analysis of tailored substance use treatment programs: Implications for treating syndemic conditions facing sexual and gender minority populations.

BACKGROUND: Syndemics (i.e., multiple, co-occurring, and synergistic conditions) contribute to elevated substance use among sexual and gender minority (SGM) people relative to heterosexual, cisgender people. Research suggests that syndemic-informed and SGM-tailored treatments are effective in substance use treatment among SGM people. However, few studies have examined 1) the proportion of substance use treatment facilities offering syndemic-informed, SGM-tailored treatment programming; and 2) the availability and accessibility of syndemic-informed, SGM-tailored treatment programs across the U.S. METHODS: We used the 2020 National Survey of Substance Abuse Treatment Services (N-SSATS) dataset to perform a latent class analysis examining whether substance use treatment facilities' tailored treatment programs cluster together to form distinct classes indicating whether facilities offer syndemic-informed and SGM-tailored programming. We then used multinomial logistic regression to examine associations between class membership and facility availability and accessibility. RESULTS: Analyses revealed four classes of substance use treatment facilities' tailored programs. Facilities with syndemic-informed and SGM-tailored treatment programs compared to facilities with no tailored programs were more likely to be in the Northeast compared to the Midwest and South; to offer payment assistance versus not offer payment assistance; and to be private, for-profit facilities versus public or non-profit facilities. CONCLUSIONS: This study's findings identify the need for more facilities with syndemic-informed and SGM-tailored treatment, particularly in the Midwestern and Southern U.S. regions. Facilities offering syndemic-informed and SGM-tailored treatment might present accessibility barriers for low-income SGM people, as they were more likely to be private, for-profit facilities; however, they were more likely to offer payment assistance.

Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory.

Because of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress disclosed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.

Invisible Stories: A Phenomenological Study of Bi and Trans Parent Experiences Within Elementary Schools in the Southwestern United States.

Heteronormativity, family hegemony, and gender biases in K-12 education threaten child safety, parental dignity, and identity among queer families. While prior research examined the experiences of queer parents-specifically those of lesbian and gay parents-empirical attention to school-related experiences of trans and bi parents is lacking. Hence, this phenomenological study focuses on the PK-12 school-related experiences of bi and trans parents. Using queer theory as a theoretical framework, we review relevant literature on family hegemony, gender biases, and heteronormativity within school settings and its impact on children with queer families. Then, we discuss the methods and analysis used to understand the experiences of bi and trans parent participants. Analysis revealed four themes: (a) concern for the child; (b) value for diversity; (c) heteronormative nature of schools; and (d) importance of inclusivity. Finally, we provide recommendations on ways school personnel can better support trans and bi parents and their children.