ArticleSocial psychiatry and psychiatric epidemiology2022
Mental health and substance use risks and resiliencies in a U.S. sample of transgender and gender diverse adults.
Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Exploring alcohol use and harm reduction techniques among transgender and gender diverse youth in Canada: A qualitative study.International journal of transgender health · 2026Article
- Forms of transphobia and their influence on health outcomes among transgender, nonbinary, and gender diverse individuals: a global systematic review.International journal of transgender health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeVictimization 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.
methodsCross-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.
resultsThree 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.
conclusionsInterventions leveraging family support, and policy protections from discrimination and victimization, may promote TGD mental and behavioral health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.