Childhood and Adolescent/Adult Sexual Abuse in Relation to Sexual Function and Distress: Findings from a Cross-Cultural Study of 42 Countries
Bibliographic record
Abstract
Childhood sexual abuse (CSA) and adolescent/adult sexual assault (AASA) are significant public health issues that profoundly impact sexual well-being. This study examined the associations between CSA, AASA, and sexual function and distress across diverse demographic groups and cultural contexts. A cross-sectional, self-report study was conducted using the International Sex Survey with 82,243 participants from 42 countries. Data were analyzed using 3D association analyses and structural equation modeling to assess the impact of CSA and AASA on sexual function problems and sexual distress. Findings revealed significant associations between both CSA and AASA with higher levels of sexual distress and sexual function problems. Gender differences showed that men and gender-diverse individuals exhibited similar levels of sexual function problems and distress as women. Significant variations were observed across sexual orientations, with heterosexual and bisexual individuals reporting more sexual function problems and distress compared to queer, asexual, and pansexual individuals. These results emphasize the lasting impact of CSA and AASA on sexual well-being, highlighting the importance of trauma-informed and culturally sensitive interventions. Tailored approaches in trauma-informed sex therapy are critical, with particular attention to gender, sexual orientation, and cultural factors to effectively address the effects of abuse on sexual health.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".