Sleep disturbances and nightmares in victims of sexual abuse with post-traumatic stress disorder: an analysis of abuse-related characteristics
Bibliographic record
Abstract
Background: Sexual abuse victims often experience symptoms of post-traumatic stress disorder (PTSD), including sleep disturbances.Objective: To investigate whether or not characteristics of sexual abuse are associated with sleep disturbance, and to explore whether correlates of sleep disturbance are distinguishable from those of PTSD symptom severity.Method: Forty-four adult sexual abuse victims seeking treatment for PTSD and sleep disturbances completed validated self-report questionnaires assessing sleep, nightmares, and PTSD symptoms.Results: Age at time of sexual abuse contributed to the severity of distress associated with nightmares, whereas the number of perpetrators contributed to the frequency of nightmares. Sleep disturbances had different correlates compared to those of overall PTSD symptoms.Conclusions: The present study highlighted that age at time of abuse and number of offenders may account for variability in sleep disturbances. Exploration of characteristics of sexual abuse could help clinicians to quickly identify who could benefit the most from targeting nightmares and other sleep disturbances in treatment.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".