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Record W2800923383 · doi:10.1093/sleep/zsy061.799

0800 Impact Of Childhood Sexual Abuse On Nightmare Frequency In Young Adolescents

2018· article· en· W2800923383 on OpenAlex
Roxanne Hébert-Ratté, Martine Hébert, Antonio Zadra, Martin Blais

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSLEEP · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersNational Institutes of Health
KeywordsNightmareSexual abusePsychologyDevelopmental psychologyPoison controlClinical psychologyInjury preventionPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

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)

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.011
GPT teacher head0.300
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it