Minority stress theory has widespread research support in explaining health disparities experienced by sexual and gender minorities. However, less is known about how minority stress impacts multiply marginalized groups, such as lesbian, gay, bisexual, and transgender people of color (LGBT POC). Also, although research has documented resilience in the face of minority stress at the individual level, research is needed that examines macro-level processes such as community resilience (Meyer, 2015). In the current study, we integrate minority stress theory and intersectionality theory to examine multiple minority stress (i.e., racial/ethnic stigma in LGBT spaces and LGBT stigma in one's neighborhood) and community resilience (i.e., connection to LGBT community) among sexual minority men of different racial/ethnic groups who use a geosocial networking application for meeting sexual partners. Results showed that Black sexual minority men reported the highest levels of racial/ethnic stigma in LGBT spaces and White sexual minority men reported the lowest levels, with Asian and Hispanic/Latino men falling in between. Consistent with minority stress theory, racial/ethnic stigma in LGBT spaces and LGBT stigma in one's neighborhood were associated with greater stress for sexual minority men of all racial/ethnic groups. However, connection to LGBT community played more central role in mediating the relationship between stigma and stress for White than POC sexual minority men. Results suggest that minority stress and community resilience processes may differ for White and POC sexual minority men. Potential processes driving these differences and implications for minority stress theory are discussed.

Purpose: Lesbian, gay, bisexual, and transgender (LGBT) youth show increased risk for a number of negative mental health outcomes, which research has linked to minority stressors such as victimization. Further, social support promotes positive mental health outcomes for LGBT youth, and different sources of social support show differential relationships with mental health outcomes. However, little is known about how combinations of different sources of support impact mental health. Methods: In the present study, we identify clusters of family, peer, and significant other social support and then examine demographic and mental health differences by cluster in an analytic sample of 232 LGBT youth between the ages of 16 and 20 years. Results: Using k-means cluster analysis, three social support cluster types were identified: high support (44.0% of participants), low support (21.6%), and non-family support (34.5%). A series of chi-square tests were used to examine demographic differences between these clusters, which were found for socio-economic status (SES). Regression analyses indicated that, while controlling for victimization, individuals within the three clusters showed different relationships with multiple mental health outcomes: loneliness, hopelessness, depression, anxiety, somatization, general symptom severity, and symptoms of major depressive disorder (MDD). Conclusion: Findings suggest the combinations of sources of support LGBT youth receive are related to their mental health. Higher SES youth are more likely to receive support from family, peers, and significant others. For most mental health outcomes, family support appears to be an especially relevant and important source of support to target for LGBT youth.

Purpose Lesbian, gay, bisexual, and transgender (LGBT) adolescents are at greater risk for mental health problems than their heterosexual peers, in part due to victimization. Social support, particularly from families, has been identified as an important promotive factor. However, little is known about how LGBT youth experience multiple forms of support or how early support predicts mental health across adolescence and into young adulthood. Methods In an analytic sample of 232 LGBT youth aged 16–20 years at baseline across 5.5 years, we compared developmental trajectories of psychological distress between three empirically derived social support cluster types at baseline: those who reported uniformly low support, those who reported uniformly high support, and those who reported nonfamily support (i.e., high peer and significant other but low family support). Results Longitudinal multilevel modeling, controlling for age, victimization, and social support at each wave, indicated key differences between cluster types. Youth in the low and nonfamily support clusters reported greater distress across all time points relative to youth in the high support cluster; however, they also showed a sharper decline in distress. Youth in the nonfamily cluster gained family support across adolescence, such that they resembled youth in the high support cluster by early adulthood. Conclusions Findings underscore the importance of family support for LGBT youth. Youth who lack family support, but who have other forms of support, report a decrease in psychological distress and an increase in family support across adolescence. Youth who are low in all forms of support continue to exhibit high distress.

The study of adolescent development generally relies on two types of study, cross -sectional and longitudinal. Cross -sectional studies are quite common and involve comparing two or more cohorts of youth who are assessed at a single, concurrent measurement occasion. Longitudinal studies, in contrast, involve collecting data at two or more occasions, with the interval between occasions allowing for some sort of meaningful change to occur. As we describe next, there are several advantages associated with longitudinal designs and the analysis of longitudinal data. ADVANTAGES OF LONGITUDINAL DATALongitudinal data offer several advantages over cross -sectional data in the study of adolescent development. The first advantage is that longitudinal data allow us to draw more valid conclusions regarding developmental changes in levels (i.e., means) and processes (i.e., associations) of phenomena than can be drawn with cross -sectional data. Researchers may try to infer such changes from concurrent data collected from participants over a * Correspondence regarding this chapter should be addressed to Todd D. Little

The rise of social networking sites (SNSs) has created new contexts within which lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth and young adults manage their social identities and relationships. On one hand, SNSs provide important social support; on the other, they comprise another realm for victimization and discrimination. Context collapse refers to the ways diverse subgroups (e.g., family, co-workers) are often united in Facebook networks, which presents unique challenges related to outness. In this study, we examine the Facebook contexts of a cohort of LGBTQ youth and young adults with regard to outness, victimization, social support, and psychological distress by first examining descriptive statistics and correlations, and then testing a series of multiple regressions in an analytic sample of 175 (Mage = 24.02 years) LGBTQ youth. Participants reported levels of daily Facebook use comparable to other samples of non-LGBTQ youth; however, they reported greater use of security controls, which may function as a tool for managing outness. Participants reported slightly lower outness across relational subgroups on Facebook, and associations between outness to relational subgroups were slightly stronger on Facebook, illustrating the potential impact of context collapse. Regression results showed that great victimization, cyberbullying, and the offering of support online were positively associated with psychological distress. Study findings illuminate how LGBTQ youth use and manage their identities on Facebook and highlight the importance of online contexts in shaping wellbeing for LGBtQ outh and young adults.