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Record W4378673675 · doi:10.1093/sleep/zsad077.0191

0191 SLEEP DIFFICULTIES AND SLEEP DISORDERS IN ADOLESCENT ATHLETES

2023· article· en· W4378673675 on OpenAlexaff
Jean-François Caron, Geneviève Forest

Bibliographic record

VenueSLEEP · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversité du Québec en OutaouaisUniversité du Québec
Fundersnot available
KeywordsAthletesPittsburgh Sleep Quality IndexPsychologyAnxietyElite athletesPopulationYoung adultPhysical therapySleep (system call)Competitive athletesInsomniaMedicinePsychiatrySleep qualityDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Introduction Recent studies have shown that sleep difficulties are highly prevalent in professional and elite athletes. Unfamiliar sleeping environments when travelling, high training loads, early morning training, competitive anxiety, etc., have been mentioned as contributing factors for sleep disturbances in athletes. In addition to being susceptible to these elements, young athletes also experience changes in sleep during adolescence. However, very little is known about the sleep of this population and whether it differs from that of young adult athletes. This was the aim of the present study. Methods 211 young elite athletes (M=14.9±1.6 years old; 60.4% females) completed online versions of the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and a modified STOP-BANG questionnaire. Summary independent T-tests were computed to compare our results to those of study samples of young adult elite athletes (M=19.6 ± 1.5 years old; 39.47% females) on the PSQI and ISI. Additional analyses were done to investigate differences in subgroups in the young elite athletes using t-tests and chi-squares on all measures. Results There was no difference between adolescents and young adult athletes for the PSQI (t(837)=-1.50, p=.30), and ISI (t(355)=.287, p=.774). Results also showed that, among young athletes, female athletes showed higher PSQI (t(201)= 3.65; p<.001) and ISI scores (t(206)=-2.27, p=.024) than males, suggesting more sleep disturbances. On the other hand, male athletes as well as team sports athletes and contact sport athletes were more at risk for obstructive sleep apneas (χ2(2,N=207)=73.25, p<.001; χ2(2,N=210)=6.08, p=.048; χ2(2,N=210)=14.35, p=.001, respectively). Finally, athletes with ADHD showed higher PSQI (t(203)=4.83; p<.001) and ISI scores (t(209)=2.89, p=.004), and more risk of sleep apnea than athletes without ADHD (χ2 (2, N=207)=73.25, p<.001). Conclusion This study shows that young adolescent athletes have the same level of sleep disturbances as young adult elite athletes. These results are very concerning because they show that from a young age, athletes are experiencing significant sleep difficulties. These findings highlight the importance of promoting early intervention with athletes who become involved at an elite level at a very young age. Support (if any) n/a

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.618

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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
Published2023
Admission routes1
Has abstractyes

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