Social-Ecological Correlates of Social Well-Being in Transgender and Gender Diverse Adults in the USA: Implications for Policy, Theory, and Research

IntroductionEmerging transgender and gender diverse (TGD) health models focus on social well-being. The present study contributes to this movement through investigation of hate crime statutes, state-level political and anti-TGD attitudes, and multiple marginalized identities as correlates of social well-being (i.e., outness, community connection, and workplace and familial support).MethodsThe current study merged data from three sources: (a) the 2015 United States Transgender Survey (USTS), (b) the 2014 and 2018 Cooperative Congressional Election Studies (CCES), and (c) the 2018 Anti-Defamation League's (ADL) Hate Crime Map. Bivariate (e.g., chi-square) and regression analyses were used to identify correlates of social well-being among TGD adults in the USA.ResultsAll types of hate crime laws showed bivariate protective associations for outness and family support. Regression models showed that several marginalized identities (e.g., having a disability) were the most consistent and largest correlates of social well-being. Higher state-level anti-TGD attitudes were linked with lower familial support and outness. The presence of state-level hate crime law civil action and police training statutes was positively associated with outness.ConclusionsThe results extend the limited research on correlates of TGD social well-being. Findings support TGD health models addressing resilience and social safety. Future research should address hate crime law policy analysis, police training evaluation, and prospective testing of TGD social well-being.Policy ImplicationsHate crime laws, in particular civil action and police training statutes, may be associated with better outcomes for transgender and gender diverse (TGD) persons. Evaluation of hate crime law effectiveness may need to focus on implementation as opposed to mere presence of laws. Policies specific to police training should include guidelines for training content and rigorous evaluation.