Frequency of self-reported persistent post-treatment genital hypesthesia among past antidepressant users: a cross-sectional survey of sexual and gender minority youth in Canada and the US
Bibliographic record
Abstract
Purpose: Post-SSRI Sexual Dysfunction (PSSD) has been identified as an iatrogenic syndrome of enduring sexual dysfunction following the discontinuation of some antidepressants. We aimed to estimate the frequency of persistent post-treatment genital hypoesthesia (PPTGH) among past users of psychiatric treatments, particularly antidepressants.Methods: We used a subsample of UnACoRN, a US/Canada survey of sexual and gender minority youth aged 15 to 29. We included participants with history of psychiatric drug use. We excluded individuals with genital surgeries or without sexual experience. The analysis involved chi-square tests for initial group comparisons, post hoc tests for multiple comparisons, and logistic regression among those who had stopped taking medication. We exponentiated the regression to estimate the odds of PPTGH by drug type, adjusting for age, sex-assigned-at-birth, hormone treatment, and depression severity in three nested models. Results: 574 of 2179 survey participants reported genital hypoesthesia. They were older, more likely to report male sex assignment at birth, hormonal therapy history, and psychiatric drugs history. The frequency of PPTGH among antidepressant users was 13.2% (93/707) compared to 0.9% (1/102) among users of other medications; odds ratio: 14.2 (95% CI: 2.92 to 257).Conclusion: Antidepressant discontinuation strongly associated with PPTGH in two countries where SSRI/SNRI medications account for 80% of antidepressant prescriptions. We call for standardized international warnings and transparent, informed consent. Future research should expand upon our efforts to estimate the risk of PSSD by including all the proposed diagnostic criteria, including documentation of temporal changes in PSSD-related symptoms before and after treatment (<3 months).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".