Expected vs. perceived effects of gender-affirming hormone therapy among transmasculine adolescents
Bibliographic record
Abstract
OBJECTIVES: Gender-affirming testosterone therapy is increasingly prescribed among transmasculine adolescents and has been associated with improved mental health outcomes. However, expected and perceived effects of testosterone have not previously been compared in this population. METHODS: We compared desired and reported effects of testosterone in all consecutive transmasculine adolescents followed at a large interdisciplinary gender diversity clinic in North America. Participants received a prescription for testosterone and were first seen between November 2016 and May 2021. Our study was a retrospective audit of case notes. We collected self-reported desired effects prior to initiation of testosterone and self-reported perceived effects from participants' medical records up to 24 months after initiation. The masculinizing effects of testosterone considered in our study were increased body/facial hair, voice deepening/Adam's apple growth, increased muscle mass, clitoromegaly, and body fat redistribution. RESULTS: There were 76 participants included in this study. Mean age at prescription of testosterone was 16.31 years (standard deviation: 0.99 years). The effects desired by the greatest proportion of participants prior to initiation were increased body/facial hair (69 %) and voice deepening/Adam's apple growth (52 %). These same two effects were the most reported by participants, reaching 80 % report rates at 12 months, and increasing steadily across the 24-month follow-up period. CONCLUSIONS: Our study shows that for most, but not all gender diverse adolescents undergoing testosterone therapy, the most expected physical changes were seen in the first year of gender-affirming treatment. More research and provider education are needed to offer optimal counseling for adolescents undergoing gender-affirming hormone therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".