Male Childhood Sexual Abuse, Self-Compassion, and Trauma Symptoms
Bibliographic record
Abstract
Objectives: There is limited research that has examined self-compassion among adult males who have experienced childhood sexual abuse. The current study investigated the potential role of self-compassion on post-traumatic stress symptoms in this population. In addition, we helped advance knowledge in the area of childhood sexual abuse by focusing on a range of sexual abuse characteristics (e.g., duration, relationship between the child and perpetrator) and by including other experiences of maltreatment (given that most victimized individuals have been exposed to more than one type). Methods: Participants were recruited from across Canada and the U.S. through websites for males with histories of childhood sexual abuse. Data were collected from 213 adult males who anonymously completed an on-line study. Results: Regression analyses indicated that childhood sexual abuse that was longer in duration and involved the use (or threat) of physical violence was associated with greater post-traumatic stress, as were the presence of emotional abuse and the absence of exposure to intimate partner violence. Once self-compassion was taken into account, these associations were no longer significant, with the exception of emotional abuse. Moreover, greater self-compassion was associated with fewer symptoms of posttraumatic stress, and it predicted 18% of the variance. Conclusion: Future research needs to continue examining the role of self-compassion on adult males’ maltreatment-related psychosocial outcomes. It also needs to take into account sexual abuse characteristics and other forms of maltreatment, given the common co-occurrence of different maltreatment types among children who experience victimization. Implications: Findings point to the importance of including self-compassion interventions as part of one’s clinical work with adult males who have experienced childhood sexual abuse. It is also important to understand the full nature of individuals’ sexual abuse experiences as well as any other forms of maltreatment to which they may have been exposed.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".