Citation

Silva DC, Rabelo-da-Ponte FD, Salati LR, Lobato MIR. BMC Psychiatry 2022; 22(1): e79.

Copyright

(Copyright © 2022, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s12888-022-03727-3

PMID

35105327

PMCID

PMC8808968

Abstract

BACKGROUND: Population heterogeneity and the lack of clinical and sociodemographic information in transgender individuals with gender dysphoria (GD) remains a challenge for specialized services in mental health and surgical procedures. It aimed to identify and describe profiles in a sample waiting for gender-affirming surgery.
METHODS: A sample of 100 outpatients with GD was assessed through a structured interview, Emotion Regulation Difficulty Scale (DERS), Ruminative Response Scale (RRS), Depression, Anxiety and Stress Scale (DASS-21) and Life Satisfaction scale (SWLS). Cluster analysis was used to identify different profile categories.
RESULTS: Two subgroups with different profiles were identified: with less clinical severity (LCS) and with high clinical severity (HCS) on emotional dysregulation, acute symptoms of depression, anxiety, stress and association with mental rumination. The HCS cluster had greater vulnerability in terms of psychiatric history, use of psychotropic drugs, HIV positive, child abuse and suicidal behavior.
CONCLUSION: Different profiles were found regarding the vulnerability to mental health in a sample of transgender people with GD who seek a public hospital service for the same clinical-surgical objective. Longitudinal studies are essential to monitor the impact of these contrasts and to target personalized therapeutic approaches in the prevention of psychiatric disorders.

Language: en

Keywords

Humans; Child; Brazil; Suicidal Ideation; Mental Health; Cluster Analysis; Gender Dysphoria; Transgender Persons; Gender-affirming Surgery; Unsupervised Machine learning