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Record W2527398910 · doi:10.1080/15299732.2016.1240739

Sleep problems and dissociation in preschool victims of sexual abuse

2016· article· en· W2527398910 on OpenAlexaff
Martine Hébert, Rachel Langevin, Elisa Guidi, Anne Claude Bernard-Bonnin, Claire Allard‐Dansereau

Bibliographic record

VenueJournal of Trauma & Dissociation · 2016
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité du Québec à Montréal
Fundersnot available
KeywordsSexual abusePsychologyClinical psychologyDistressChild abuseInjury preventionChild sexual abusePoison controlDissociative disordersSuicide preventionDissociativePsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: Child sexual abuse (CSA) is associated with a host of deleterious impacts, yet little is known about the short-term correlates in children. This study aimed to investigate the association between dissociation and sleep problems in a sample of preschool-age sexual abuse victims while controlling for potentially confounding variables, including gender, age, polytrauma, CSA characteristics, and parental distress. METHOD: The sample consisted of 179 children (ages 3-6 years) and their non-offending parents. Parents completed questionnaires assessing their child's dissociative symptoms and sleep problems as well as their own level of psychological distress. RESULTS: Regression analyses revealed that sleep problems were significantly associated with dissociative symptoms over and above all other control variables (children's gender and age, polytrauma, and parental distress). A longer duration of sexual abuse also predicted greater dissociative symptoms in preschool children. CONCLUSION: Findings highlight the association between sleep problems and dissociation in preschool-age victims of CSA. Further research is needed to understand their impact on children's development to design appropriate treatment and prevention initiatives aimed at fostering resilience in young vulnerable children.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.235

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)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.261
Teacher spread0.248 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2016
Admission routes1
Has abstractyes

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