0800 Impact Of Childhood Sexual Abuse On Nightmare Frequency In Young Adolescents
Bibliographic record
Abstract
Nightmares are among trauma victims’ most frequently reported symptoms. Child abuse constitutes one of the better documented chronic traumas, and while several studies have investigated nightmares in adult victims of child abuse, few have done so in adolescent populations. We investigated nightmare frequency in teenagers reporting a history of sexual abuse as compared to teenagers with no such history. 402 teenagers (355 girls, 47 boys, mean age = 15.85 ± 0.87 years) reporting a history of sexual abuse and 402 non-victims matched for age and gender were selected from a representative stratified cluster sample of 8194 teenagers as part of a larger investigation on the prevalence of interpersonal violence and associated risk factors and mental health outcomes in the province of Quebec, Canada. Participants reported their nightmare frequency over the past 6 months on a Likert-type scale ranging from 0 (never) to 4 (very often). 582 (72.4%) of the 804 participants reported experiencing nightmares over the last 6 months: 59% reported having nightmares rarely, 21% sometimes, 8% often and 12% very often. The impact of childhood sexual abuse on nightmare frequency was assessed with a multivariate logistic regression. Nightmare frequency was grouped into two categories (never-rarely and sometimes or more) and included as the outcome variable. Gender, age, sexual abuse victimization, intra-family sexual abuse and number of other traumas were included in one block as predictor variables. The model was significant and explained 20% of the variance of nightmare frequency. The overall percentage of correctly classified participants was 75%. Female gender (OR = 2.36, 1.31–4.27), sexual victimization (OR = 8.36, 5.52–12.64), intra-family sexual abuse (OR = 0.62, 0.40-.098) and number of other interpersonal traumas experienced (OR = 1.19, 1.07–1.31) emerged as significant independent predictors of nightmare frequency, while age was not a significant predictor. Nightmare frequency in teenagers is associated with female gender, sexual victimization, intra-family victimization and number of traumas. This research was supported by a grant from the Canadian Institutes of Health Research (#103944)
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".