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Record W4405125194 · doi:10.1080/03004430.2024.2393413

Screen time and behavioural problems among preschool children: unveiling the mediating effect of sleep quality

2024· article· en· W4405125194 on OpenAlex
Shujin Zhou, Wei Ding, Bowen Xiao, Yan Li

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.

Bibliographic record

VenueEarly Child Development and Care · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsCarleton University
Fundersnot available
KeywordsPsychologySleep qualityDevelopmental psychologySleep (system call)Preschool educationQuality (philosophy)CognitionPsychiatry

Abstract

fetched live from OpenAlex

Screen time is now pervasive in the lives of preschool children, posing potential risks for sleep disturbances and behavioural problems. Therefore, the present study used a questionnaire to survey mothers (Mage = 35.56 years, SD = 3.62 years) of a total of 571 preschool children (Mage = 4.70 years, SD = .88 years; 44.70% boys) in seven public kindergartens to investigate the association between screen time, sleep quality, and behavioural problems. Results shown that sleep quality partially mediated the relationship between screen time and both hyperactivity attention problems and emotional symptoms. Specifically, screen time was found to increase hyperactivity attention problems and emotional symptoms by reducing sleep quality. However, it was observed that sleep quality did not act as a mediator in the relationship between screen time and peer problems. These findings hold significance in comprehending how screen time and sleep quality are related to behavioural problems in preschool 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.

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)0.001
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 score0.118
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.009
GPT teacher head0.250
Teacher spread0.240 · 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