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Record W4393260822 · doi:10.1037/tra0001701

The investigation of sleep patterns in relation to interpersonal violence victimization and mental health in adolescent girls.

2024· article· en· W4393260822 on OpenAlexaffabout
Rachel Langevin, Sebastian Kay, Teresa Pirro, Malka Hershon, Marie‐Hélène Pennestri, Martine Hébert

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité du Québec à MontréalMcGill University
Fundersnot available
KeywordsMental healthPsychologyClinical psychologyPsychological interventionPsychological abuseModerationPoison controlPsycINFOPsychiatrySexual abuseSuicide preventionMedicineMEDLINEMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Empirical studies reveal that interpersonal violence victimization is a highly prevalent phenomena in youth and is associated with a host of difficulties, including mental, physical, and behavioral issues. Sleep, a developmentally fundamental process, is implicated in these unfavorable effects. Despite this, little is known about the interplay between interpersonal violence victimization, sleep, and mental health in adolescent girls, who are at greater risk of victimization, sleep problems, and mental health difficulties than boys. OBJECTIVE: The aim of the current study was to identify distinct patterns of sleep problems to understand how they are associated with interpersonal violence victimization and key mental health outcomes, namely dissociation and emotional dysregulation. METHOD: Latent class analyses were conducted on a sample of 706 adolescent girls aged 14-18 (88% of Canadian descent), who completed an online survey. RESULTS: class, indicating a moderation effect of sleep. CONCLUSION: The findings of this study, while awaiting replication with a more diverse sample, highlight the continued need to understand the interplay between interpersonal violence and sleep quality, which can help to inform trauma-focused clinical interventions. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.090
GPT teacher head0.473
Teacher spread0.383 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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