Heterogeneity in gender dysphoria in a Brazilian sample awaiting gender-affirming surgery: a data-driven analysis.

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.

Prevalence of Gender Dysphoria in Southern Brazil: A Retrospective Study.

To ensure that public health services provide comprehensive and inclusive health care to the general population, it is important for countries to estimate how many of their citizens experience gender dysphoria and wish to receive specialized hormone treatment or gender-affirming surgery. The aim of this study was to estimate the prevalence of individuals with gender dysphoria seeking transgender health care in a public teaching hospital in southern Brazil. In this retrospective follow-up study, we analyzed the medical records and sociodemographic data of individuals aged > 15 years living in Rio Grande do Sul, Brazil, that enrolled in a specialized program to receive hormone therapy and gender-affirming surgery between 2000 and 2018. This study is the first to attempt estimating the prevalence of gender dysphoria in Rio Grande do Sul; it describes novel data on the clinical profile of individuals with gender dysphoria treated in a public hospital specialized in providing transgender health care. Prevalence estimates were calculated based on statewide annual population data in the study period. Of 934 identified individuals, 776 (601 trans women and 175 trans men) were included in this study. The overall prevalence of individuals with gender dysphoria was 9.3 per 100,000 individuals (95% CI: 8.6 to 9.8). Meanwhile, there were 15 trans women per 100,000 people (95% CI: 14 to 16) and 4.1 trans men per 100,000 people (95% CI: 3.5 to 4.8). There was a progressive increase in the number of people seeking hormone therapy and gender-affirming surgery during the study period. Future research is needed to determine the size of the trans population in other regions of Brazil and to expand the knowledge regarding gender dysphoria to allow for the development of effective public policies for people with gender dysphoria.

Medical care for transgender individuals at a hospital in southern Brazil: why do they drop out from our service?

Objective: The objective of the study was to investigate dropout rates and discern potential factors contributing to the discontinuation of treatment provided to transgender individuals by the Transdisciplinary Gender Identity Program at the Hospital de Clínicas de Porto Alegre (PROTIG). Methodology: This study employs a descriptive, cross-sectional, retrospective design to analyze socio-demographic and clinical data obtained from medical records of patients treated at PROTIG between 2000 and 2018. A structured form, devised by PROTIG's professional team, was utilized to extract and evaluate several variables including: age, gender, education level, diagnosis of F64 according to the International Classification of Diseases (ICD-10: Version: 2010), clinical comorbidities (coded by ICD-10), laboratory diagnosis of sexually transmitted infections, distance between patients' residence and the hospital, and year of entry into PROTIG. The patient cohort was stratified into two categories based on their duration of attendance: dropout (defined as attendance for up to 365 days) and non-dropout (attendance exceeding 365 days). Categorical variables between dropout and non-dropout groups were compared using Pearson's chi-square test. Additionally, Poisson regression analysis was utilized, employing a 95% confidence interval (CI) and setting the significance level at 0.05. Results: The study included a total of 888 patients accessing PROTIG, with 275 (31%) classified in the dropout group. Of the patient population, 65.5% (n = 582) self-identified as transgender women, while 34.5% (n = 306) identified as transgender men. Significant differences were noted between the dropout and non-dropout groups. Specifically, differences were noted among transgender women (p < 0.001), individuals with lower levels of education (p < 0.001), those with fewer diagnoses classified under ICD-10 as F64 (p < 0.001), individuals exhibiting fewer clinical comorbidities recorded in ICD-10 (p < 0.001), and those who commenced inclusion in PROTIG after 2010 (p < 0.001). Conclusion: There exists a notable rate of treatment discontinuation among individuals receiving care at PROTIG, with statistically significant variances observed between groups. We posit potential rationales for this discontinuation, informed by care experiences and feedback from group attendees: Increased accessibility to outpatient services in our jurisdiction for Transgender Care, along with heightened societal awareness of gender identity fostering diverse gender expression avenues devoid of reliance on gender-affirming surgical interventions.

Factors Associated With Ruminative Thinking in Individuals With Gender Dysphoria.

This study aimed to examine psychosocial factors and medical history as well as symptoms of depression, anxiety, and stress associated with ruminative thinking in transgender people with gender dysphoria (GD) before undergoing gender affirmation surgery (GAS). This study evaluated 189 participants with GD (111 trans women and 78 trans men) from a specialized service for GAS in southern Brazil. Semi-structured interviews were conducted, and participants were asked to complete self-report questionnaires. We recovered participants' sociodemographic and psychosocial data (e.g., history of sexual abuse, expulsion from home, and history of drug use) and data regarding their clinical history (e.g., medication, history of suicidal ideation and attempted suicide, and HIV status). Further, we implemented the Depression, Anxiety and Stress Scale (DASS-21) to examine participants' psychological state, as well as the Ruminative Response Scale (RRS) to assess ruminative thinking, which includes brooding and reflection. The predictor variables were those that exhibited a minimum level of significance of p ≤ 0.05 in multivariate linear regression. The ruminative thinking scores for trans women were higher than those of trans men (Brooding p = 0.014; Reflection p = 0.052).In the multivariate model, suicidal ideation, moderate depression, and severe/very severe anxiety were associated with both brooding and reflection. Feminine gender identity and stress symptoms moderated only brooding, while anxiety symptoms moderated only reflection. Our findings show that trans women had the highest ruminative thinking scores, and that depression, anxiety, stress, and suicidal ideation were associated with ruminative thinking in total sample. Psychological symptoms should be examined in the context of gender affirmation surgery to minimize the possibility of adverse mental health outcomes. Follow-up studies are required to measure ruminative thinking levels more accurately and to identify its predictors.