Sexual Inactivity Among Transfeminine Persons: A Canadian Respondent-Driven Sampling Survey
Bibliographic record
Abstract
Sexual health research with transfeminine persons (individuals assigned male at birth who identify as female or feminine) has focused on HIV infection and sexual function following medical treatments. Yet, approximately half of transfeminine persons in Ontario, Canada, reported no partnered sex in the previous year. Therefore, we identified sociodemographic, social, and psychosocial factors associated with past-year sexual inactivity among transfeminine Ontarians. A multi-mode respondent-driven sampling survey of transgender people was conducted in 2009-2010 (N = 433), including 173 transfeminine individuals who had ever been sexually active. Frequencies and regression models were weighted using RDS II methods; prevalence ratios were estimated from logistic regression models using average marginal predictions. Of sexually experienced transfeminine persons, 43% (95% CI [31, 55]) reported no past-year sex partners. Sexual inactivity was independently associated with older age, childhood sexual abuse, and residing outside of the province's largest city. Transfeminine persons who had genital surgery for gender affirmation were less likely to be abstinent, as compared to those who were living in their felt gender without surgery. Transphobic harassment and higher levels of trans-related sexual body image worries were also associated with sexual inactivity, as was reduced sexual satisfaction. Implications for research and clinical practice are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".