Who am I as a Sexual Being? The Role of Sexual Self-Concept Between Dispositional Mindfulness and Sexual Satisfaction among Child Sexual Abuse Survivors
Bibliographic record
Abstract
Childhood sexual abuse (CSA) is associated with long-lasting and pervasive impacts on survivors' sexual health, particularly on their sexual satisfaction. Dispositional mindfulness has been found to be associated with greater sexual satisfaction among adult CSA survivors. However, the mechanisms involved in this association remain understudied. The present study examined the role of sexual self-concept (i.e., sexual esteem, sexual preoccupation, and sexual depression) in the relationship between dispositional mindfulness and sexual satisfaction among CSA survivors. A total of 176 adult CSA survivors (60.6% women, 39.4% men) completed an online survey assessing dispositional mindfulness, sexual self-concept, and sexual satisfaction. Path analyses revealed that dispositional mindfulness was positively related to sexual satisfaction through a significant indirect effect of higher sexual esteem and lower sexual depression. The integrative model explained 66.5% of the variance in sexual satisfaction. These findings highlight the key roles that dispositional mindfulness and sexual self-concept play in CSA survivors' sexual satisfaction. Implications for interventions based on trauma-sensitive mindfulness targeting the sexual self-concept are discussed, as they may promote sexual satisfaction in adult CSA 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 | 0.001 | 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 | 0.001 |
| 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".