Adult sexual risk behavior in a Canadian sample of two-spirit, trans, and non-binary survivors of childhood sexual abuse
Bibliographic record
Abstract
Background Research on the impacts of CSA on survivors’ sexual outcomes as adults has found an increase in sexual risk behaviors, including earlier sexual debut, greater involvement in transactional sex, and having sex under the influence of alcohol/drugs, among others. However, the impact of CSA on adult sexual risk behaviors in two-spirit, trans, and non-binary (2STNB) individuals has not been investigated.Objective The goal of this investigation was to determine the impact of CSA on sexual risk as measured through a composite instrument in a sample of Canadian 2STNB adults and to identify contributors to this relationship.Participants and setting A sample of 309 Canadian 2STNB individuals was recruited through the assistance of community organizations; 125 identified having experienced CSA.Methods Participants completed an online survey including measures of adverse childhood experiences, sexual self-esteem (SSE), condom self-efficacy (CSE), symptoms of post-traumatic stress disorder (PTSD), experiences of interpersonal violence (IPV), and sexual risk behavior, as well as demographic questions.Results Path analysis demonstrated significant indirect effects from CSA to risk behavior through IPV and PTSD (β=.03, p<.05), and through IPV and CSE (β = -0.02, p < .05). The full sequential pathway from CSA through SSE and CSE to risk was not statistically significant (β = .04, p = .13), though significant pathways were observed between SSE and sexual risk (β=.38, p<.05), and from SSE to CSE to risk (β = .04, p < .05).Conclusions Experiences of CSA were associated with greater risk behavior in survivors through their experiences of IPV and PTSD symptoms. Focused attention on these mediators through education and therapy could help decrease risk behavior in survivors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| 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".