Mai-Han Trinh1, Rodrigo Aguayo-Romero2,3,4, Sari L Reisner5,2,3,4. 1. Department of Epidemiology, Harvard T. H. Chan School of Public Health, Kresge Building 9th Floor-Student Mail, 677 Huntington Ave, MA, 02115, Boston, USA. maihantrinh@hsph.harvard.edu. 2. Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA, USA. 3. Department of Medicine, Harvard Medical School, Boston, MA, USA. 4. The Fenway Institute, Fenway Health, Boston, MA, USA. 5. Department of Epidemiology, Harvard T. H. Chan School of Public Health, Kresge Building 9th Floor-Student Mail, 677 Huntington Ave, MA, 02115, Boston, USA.
Abstract
PURPOSE: Victimization contributes to mental and behavioral health inequities among transgender and gender diverse (TGD) people, but few studies have simultaneously examined health-promoting resiliencies. We sought to identify classes of risk and resilience among TGD adults, assess characteristics associated with these classes, and examine their relationship with mental health and substance use outcomes. METHODS: Cross-sectional data were from the 2015 US Transgender Survey, a non-probability study including 26,957 TGD adults. Using latent class analysis, we classified patterns of vulnerability and resilience based on risk (past-year denial of equal treatment, verbal harassment, physical attack, bathroom-related discrimination; lifetime sexual assault, intimate partner violence) and protective (activism; family, work, classmate support) factors. Regression models were fit to (1) determine the association between sociodemographic and gender affirmation characteristics and latent classes; (2) model associations between latent classes and mental health (current serious psychological distress, past-year and lifetime suicidal thoughts and attempts, and lifetime gender identity/transition-related counseling) and substance use (current binge alcohol use, smoking, illicit drug use; past-year drug/alcohol treatment) outcomes. RESULTS: Three latent classes were identified: high risks, with activism involvement ("risk-activism," 35%); low risks, with not being out about one's TGD identity ("not-out," 25%); and low risks, with high family support ("family-support," 40%). Gender affirmation and sociodemographic characteristics, such as race/ethnicity and sexual orientation, were associated with latent classes. Risk-activism class membership was associated with higher odds of negative mental health and substance use outcomes, while the family-support class had lower odds of these outcomes. CONCLUSIONS: Interventions leveraging family support, and policy protections from discrimination and victimization, may promote TGD mental and behavioral health.
PURPOSE: Victimization contributes to mental and behavioral health inequities among transgender and gender diverse (TGD) people, but few studies have simultaneously examined health-promoting resiliencies. We sought to identify classes of risk and resilience among TGD adults, assess characteristics associated with these classes, and examine their relationship with mental health and substance use outcomes. METHODS: Cross-sectional data were from the 2015 US Transgender Survey, a non-probability study including 26,957 TGD adults. Using latent class analysis, we classified patterns of vulnerability and resilience based on risk (past-year denial of equal treatment, verbal harassment, physical attack, bathroom-related discrimination; lifetime sexual assault, intimate partner violence) and protective (activism; family, work, classmate support) factors. Regression models were fit to (1) determine the association between sociodemographic and gender affirmation characteristics and latent classes; (2) model associations between latent classes and mental health (current serious psychological distress, past-year and lifetime suicidal thoughts and attempts, and lifetime gender identity/transition-related counseling) and substance use (current binge alcohol use, smoking, illicit drug use; past-year drug/alcohol treatment) outcomes. RESULTS: Three latent classes were identified: high risks, with activism involvement ("risk-activism," 35%); low risks, with not being out about one's TGD identity ("not-out," 25%); and low risks, with high family support ("family-support," 40%). Gender affirmation and sociodemographic characteristics, such as race/ethnicity and sexual orientation, were associated with latent classes. Risk-activism class membership was associated with higher odds of negative mental health and substance use outcomes, while the family-support class had lower odds of these outcomes. CONCLUSIONS: Interventions leveraging family support, and policy protections from discrimination and victimization, may promote TGD mental and behavioral health.
Authors: Arjee Restar; Harry Jin; Aaron Breslow; Sari L Reisner; Matthew Mimiaga; Sean Cahill; Jaclyn M W Hughto Journal: SSM Popul Health Date: 2020-05-11