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Record W2196149147 · doi:10.1080/15374416.2015.1079782

Sleeping Toward Behavioral Regulation: Relations Between Sleep and Externalizing Symptoms in Toddlers and Preschoolers

2015· article· en· W2196149147 on OpenAlexafffund
Marie‐Ève Bélanger, Annie Bernier, Valérie Simard, Kim Desrosiers, Julie Carrier

Bibliographic record

VenueJournal of Clinical Child & Adolescent Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsHôpital du Sacré-Cœur de MontréalUniversité de SherbrookeUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsPsychologySleep (system call)Child Behavior ChecklistChecklistDevelopmental psychologyClinical psychologyExternalizationLongitudinal studyMedicine

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the concurrent and longitudinal relations between sleep and externalizing symptoms among young children. Sixty-four families (mostly Caucasian; 36 boys) were met twice, when children were 2 (T1) and 4 years of age (T2). At T1, children wore an actigraph monitor for a 72-hr period, and both mothers and fathers completed the Child Behavior Checklist. At T2, both parents as well as the daycare educator filled the Child Behavior Checklist. At T1, longer sleep duration and higher sleep efficiency were associated with fewer externalizing symptoms as assessed by mothers. Results also indicated that higher sleep efficiency at T1 was related to fewer parent-reported externalizing symptoms at T2 (while controlling for prior externalizing symptoms). Relations between sleep efficiency at T1 and externalizing symptoms as assessed by mothers at T1 and by fathers at T2 were moderated by child sex, such that links were significant among boys only. Results pertaining to educators' reports were inconclusive. The current study highlights the importance of rapidly treating sleep difficulties, which are associated with persistent behavioral maladjustment, perhaps especially for boys.

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)0.002
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 score0.058
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.108
GPT teacher head0.428
Teacher spread0.320 · 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

Citations34
Published2015
Admission routes2
Has abstractyes

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