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Record W2142976452 · doi:10.1177/0009922814555976

Association Between Sleep Bruxism and Psychosocial Factors in Children and Adolescents

2014· review· en· W2142976452 on OpenAlexaff
Graziela De Luca Canto, Vandana Singh, Paulo César Rodrigues Conti, Bruce Dick, David Gozal, Paul W. Major, Carlos Flores‐Mir

Bibliographic record

VenueClinical Pediatrics · 2014
Typereview
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychosocialMedicineAssociation (psychology)Sleep BruxismClinical psychologySleep (system call)PsychiatryPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To summarize the association between sleep bruxism and psychosocial factors in children and adolescents. DESIGN: Individual search strategies for five databases were developed. The references cited in the selected articles were checked and a partial gray literature search was undertaken. Only articles that used the international diagnostic criteria for sleep bruxism as proposed by the American Association of Sleep Medicine were included. Any form of reporting of psychosocial factors was considered. RESULTS: Of the 44 retained articles, only 7 studies were finally included for the qualitative/quantitative synthesis. No evidence supportive of an association between sleep bruxism and psychosocial factors in children younger than 5 years emerged. A significant association was present in children between 6 and 11 years old and in adolescents 12 to 17 years old. Risk of bias was low-to-moderate in most of the included studies. CONCLUSION: The current available evidence suggests an association between sleep bruxism and psychological factors in children older than 6 years.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.007
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.485
Teacher spread0.396 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations50
Published2014
Admission routes1
Has abstractyes

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