Sexual assault and posttraumatic stress disorder: A review of the biological, psychological and sociological factors and treatments
Bibliographic record
Abstract
Sexual assault occurs with alarming frequency in Canada. The prevalence of Posttraumatic Stress Disorder (PTSD) in assault survivors is drastically higher than the national prevalence of the disorder, which is a strong indication that the current therapies for sexual-assault-related PTSD are in need of improvement. Increasing knowledge and understanding of the pathologies associated with rape trauma in biological, psychological and sociological domains will help to develop more effective treatments for survivors. A dysregulation of the Hypothalamic-Pituitary-Adrenal (HPA) axis is observed in survivors of sexual assault and this may be a fundamental cause of the structural and functional abnormalities contributing to PTSD symptoms. Pharmacotherapies are available to treat PTSD; however, they are often inadequate or unwanted by the survivor. Psychological health is compromised following interpersonal trauma and many psychological therapies are available, but with varying efficacy. A person's cognitions have a dramatic effect on the onset, severity, and progress of PTSD following sexual assault. Sociological impacts of assault influence the development of PTSD through victim-blaming attitudes and the perpetuation of rape myths. Perceived positive regard and early social support is shown to be important to successful recovery. Education is vital in rape prevention and to foster a supportive environment for survivors. The biological, psychological and sociological impacts and treatments should not remain mutually exclusive. A better appreciation of the biopsychosocial repercussions of sexual assault will aid in developing a more holistic and individualized therapy to help alleviate the physical and emotional pain following the trauma of rape.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".