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Sexual and gender minority (SGM) youth experience high rates of victimization leading to health disparities. Community size and community climate are associated with health outcomes among SGM youth; however, we lack studies that include them as covariates alongside victimization to understand their collective impact on health. This study utilized minority stress theory to understand how community context shapes experiences of victimization and health among SGM youth. SGM youth in one Midwestern U.S. state completed an online survey ( n  = 201) with measures of physical health, mental health, community context, and victimization. Data were analyzed via multiple regression using a path analysis framework. Results indicate that perceived climate was associated with mental, but not physical, health; Community size was unrelated to health outcomes. Victimization mediated the association between community climate and mental health. Findings are discussed in light of current literature and implications for research and practice are shared.

Abstract Purpose: The purpose of this study was to assess sexual orientation differences in high-intensity binge drinking using nationally representative data. Methods: Data were from the National Epidemiologic Survey on Alcohol and Related Conditions III (N = 36,309), a nationally representative sample of U.S. adults collected in 2012–2013. Sex-stratified adjusted logistic regression models were used to test sexual orientation differences in the prevalence of standard (4+ for women and 5+ for men) and high-intensity binge drinking (8+ and 12+ for women; 10+ and 15+ for men) across three dimensions of sexual orientation: sexual attraction, sexual behavior, and sexual identity. Results: Sexual minority women, whether defined on the basis of sexual attraction, behavior, or identity, were more likely than sexual majority women to engage in high-intensity binge drinking at two (adjusted odds ratios [aORs] ranging from 1.52 to 2.90) and three (aORs ranging from 1.61 to 3.27) times the standard cutoff for women (4+). Sexual minority men, depending on sexual orientation dimension, were equally or less likely than sexual majority men to engage in high-intensity binge drinking. Conclusion: This study is the first to document sexual orientation-related disparities in high-intensity binge drinking among adults in the United States using nationally representative data. The results suggest that differences in alcohol-related risk among sexual minority individuals vary depending on sex and sexual orientation dimension.

Few societal attitudes and opinions have changed as quickly as those regarding sexual minority people and rights. In the context of dramatic social change, there have been multiple policy changes toward social inclusion and rights for lesbian, gay, and bisexual (LGB) people, and perceptions that the sociocultural context for LGB people—perhaps particularly for youth—has improved. Yet recent evidence from the developmental sciences points to paradoxical findings: in many cases there have been growing rather than shrinking health disparities. The authors suggest that there is a developmental collision between normative adolescent developmental processes and sexual minority youth identities and visibility.

Abstract Purpose: The purpose of this study was to identify subgroups of sexual and gender minority (SGM) youth who are most vulnerable to tobacco use. Methods: We analyzed data from a national nonprobability sample of 11,192 SGM youth (ages 13–17). Age of cigarette initiation and current use were modeled using Cox proportional hazard and binomial regression. Sexual and gender identities were explanatory variables and the models were adjusted for ethnoracial identity and age. Results: Approximately 7\% of the sample reported current smoking. Cisgender and transgender boys had higher odds of current smoking compared with cisgender and transgender girls (adjusted odds ratio [AOR] = 1.86; 95\% confidence interval [CI]: 1.56–2.21). Pansexual-identified youth had higher odds of smoking (AOR = 1.33; 95\% CI: 1.05–1.70) compared with gay/lesbian youth independent of gender identity. Pansexual-identified cisgender boys had the highest smoking prevalence (21.6\%). Predicted probabilities were higher among transgender boys across all sexual identities, except asexual. The hazard of smoking at a younger age was greater for transgender boys compared with cisgender boys (adjusted hazard ratio [AHR] = 1.67; 95\% CI: 1.43–1.94) as well as for bisexual (AHR = 1.12; 95\% CI: 1.01–1.24) and pansexual (AHR = 1.17; 95\% CI: 1.03–1.33) youth compared with those who identified as gay or lesbian. Conclusions: These findings suggest that transgender boys may be at higher risk for early and current cigarette use regardless of their sexual identity, whereas smoking varied more widely for youth across different sexual identities. The findings suggest that specific subgroups of SGM youth require focused attention in tobacco control research and practice.

Sexual and gender minority (SGM) youth experience high rates of victimization leading to health disparities. Community size and community climate are associated with health outcomes among SGM youth; however, we lack studies that include them as covariates alongside victimization to understand their collective impact on health. This study utilized minority stress theory to understand how community context shapes experiences of victimization and health among SGM youth. SGM youth in one Midwestern U.S. state completed an online survey ( n = 201) with measures of physical health, mental health, community context, and victimization. Data were analyzed via multiple regression using a path analysis framework. Results indicate that perceived climate was associated with mental, but not physical, health; Community size was unrelated to health outcomes. Victimization mediated the association between community climate and mental health. Findings are discussed in light of current literature and implications for research and practice are shared.

Jessica N. Fish, Family Science, investigates sexual-orientation-related disparities in mental, behavioral, and physical health

BACKGROUND: Using a population-based sample of youth, we examined rates of cigarette use and trends in cigarette use disparities between heterosexual youth and 3 subgroups of sexual minority youth (SMY) (ie, lesbian or gay, bisexual, and unsure) from 2005 to 2015. METHODS: Data are from 6 cohorts of the Youth Risk Behavior Survey, a national, biennial, school-based survey of ninth- to 12th-grade students in the United States (n = 404 583). Sex-stratified analyses conducted in 2017 examined trends in 2 cigarette-related behaviors: lifetime cigarette use and heavy cigarette use (20+ days in the past 30). RESULTS: Disparities in lifetime cigarette use between lesbian and heterosexual girls were statistically smaller in 2015 relative to 2005 (adjusted odds ratio [aOR] 0.29; 95% confidence interval [CI] 0.12–0.75; P = .011). Sexual orientation disparities in heavy use were narrower for bisexual boys in 2015 compared with 2005 (aOR 0.39; 95% CI 0.17–0.90; P = .028). Girls and boys unsure of their sexual identity had wider disparities in heavy use in 2015 (aOR 3.85; 95% CI 1.39–11.10; P = .009) relative to 2005 (aOR 2.44; 95% CI 1.22–5.00; P = .012). CONCLUSIONS: SMY remain at greater risk for cigarette-related behaviors despite greater acceptance of lesbian, gay, and bisexual people in the United States. Focused policies and programs aimed at reducing rates of SMY cigarette use are warranted, particularly for youth questioning their sexual identity.

PURPOSE: We aimed to estimate latent classes of concurrent polysubstance use and test for sexual orientation differences in latent class memberships with representative data from adolescents living in 19 U.S. states. We also tested whether sex, race/ethnicity, and age moderated the sexual identity differences in polysubstance use class memberships. METHODS: We analyzed data from 119,437 adolescents from 19 states who participated in the 2015 Youth Risk Behavior Survey. Latent class analysis characterized polysubstance use patterns based on self-reported frequency of lifetime and past-month use of alcohol (including heavy episodic drinking), tobacco (cigarettes, cigars, and smokeless tobacco), and marijuana. Multinomial logistic regression models tested differences in latent class memberships by sexual identity. Interaction terms tested whether sex, race/ethnicity, and age moderated the sexual identity differences in polysubstance use class memberships. RESULTS: A six-class model of polysubstance use fit the data best and included nonusers (61.5%), experimental users (12.2%), marijuana-alcohol users (14.8%), tobacco-alcohol users (3.8%), medium-frequency three-substance users (3.6%), and high-frequency three-substance users (4.1%). Gay/lesbian- and bisexual-identified adolescents had significantly higher odds than heterosexual-identified adolescents of being in all of the user classes compared with the nonuser class. These sexual identity differences in latent polysubstance use class memberships were generally larger for females than for males, varied occasionally by race/ethnicity, and were sometimes larger for younger ages. CONCLUSION: Compared with their heterosexual peers, gay/lesbian and bisexual adolescents-especially females-are at heightened risk of engaging in multiple types of polysubstance use. Designing, implementing, and evaluating interventions will likely reduce these sexual orientation disparities.

Gay‐Straight Alliances (GSA) and school policies focused on support for lesbian, gay, bisexual, transgender, and queer/questioning youth may reduce bias‐based bullying and enhance social supports in schools. Using multivariate regression, we tested the relationship between youth reports of the presence of GSAs and LGBTQ‐focused policies, independently and mutually, with experiences bullying and perceived support ( n  =   1,061). Youth reported higher classmate support in the presence of GSAs and higher teacher support in the presence of LGBTQ‐focused policies; the presence of both GSAs and LGBTQ‐focused policies was associated with less bullying and higher perceived classmate and teacher support. The findings indicate that GSAs and LGBTQ‐focused policies are distinctly and mutually important for fostering safer and more supportive school climates for youth.

BACKGROUND: Preliminary evidence suggests that sexual minority (e.g. lesbian, gay, bisexual, and same-sex attracted) youth are overrepresented in child welfare services. Yet, no study to date has been able to test this hypothesis with national data. OBJECTIVE: Using a two-study design, we test whether sexual minority youth are overrepresented in child welfare, foster care, and out-of-home placement using nationally representative data from the United States. PARTICIPANTS AND SETTING: Study 1 data are from the National Longitudinal Study of Adolescent to Adult Health (n = 14,154; Mean age = 15.4). Study 2 data are from wave three of the National Survey of Child and Adolescent Well-Being II (n = 1309; Mean age = 15.0). METHODS: For Study 1, we use adjusted logistic regression models to test differences in lifetime foster care involvement between sexual minority and heterosexual youth. In Study 2, we calculate a Disproportionality Representation Index (DRI) - a ratio of sample prevalence relative to the general population - to estimate whether sexual minority youth were overrepresented in child welfare and out-of-home care. RESULTS: Study 1 results indicate that sexual minority youth are nearly 2.5 times as likely as heterosexual youth to experience foster care placement (aOR = 2.43, 95% CI 1.40, 4.21, p = .002). Results from Study 2 show that sexual minority youth were largely overrepresented in child welfare services (DRI = 1.95-2.48) and out-of-home placement (DRI = 3.69-4.68). CONCLUSIONS: Findings are the first to demonstrate sexual minority youth's overrepresentation in child welfare, foster care, and out-of-home placement using nationally representative data and emphasizes the need for focused research on sexual minority youth involved in the child welfare system.