Factors Associated With Posttraumatic Stress Disorder Symptomology Among Women Who Have Experienced Sexual Assault in Canada
Bibliographic record
Abstract
There is a dearth of information about the association of victim-related and assailant-related characteristics and posttraumatic stress disorder (PTSD) among sexually assaulted women. Recently, Statistics Canada included items measuring the possible presence of PTSD symptoms in their 2014 nationally representative General Social Survey on Victimization (GSS-V), for the purpose of improving the understanding of mental health impacts associated with sexual victimization. The present study used the GSS-V to examine the association of sociodemographic, health, and assailant characteristics and prior traumatic experiences in the form of physical or sexual dating violence, physical assault, stalking, childhood abuse, and witnessing of violence between parents with PTSD symptomology among sexually assaulted women. Among 319 women who reported experiencing at least one incident of sexual assault in the 12 months prior to the survey, 68.6% had experienced at least one negative emotional impact as a result, among whom, 43.6% reported past-month PTSD symptoms. Logistic regression modeling revealed that prior traumatic events in the form of physical or sexual dating violence, stalking, and having witnessed violence between parents were associated with higher odds of experiencing PTSD symptoms, as was having been sexually assaulted by a known assailant. In contrast, the odds of experiencing PTSD symptoms was lower for Aboriginal or visible minority women. The results suggest that PTSD symptoms in the near aftermath of sexual victimization are common, and there are a range of factors that contribute to the likelihood of developing these symptoms. Implications for future research are discussed.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".