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Record W4378652190 · doi:10.1093/sleep/zsad077.0016

0016 Influence of Circadian Preference on Sleep, Depression, and Anxiety in Canadian Student-Athletes

2023· article· en· W4378652190 on OpenAlexaffabout
Jesse D. Cook, Jonathan Charest, David T. Plante, Penny Werthner, Matthew Horsnell, Charles Samuels

Bibliographic record

VenueSLEEP · 2023
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of CalgaryCanadian Sleep & Circadian Network
FundersDefence Science and Technology GroupFlinders University
KeywordsEveningAnxietyMorningChronotypeAthletesMental healthPsychologyClinical psychologyDepression (economics)PsychiatryMedicinePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Student-athletes face unique demands that heighten vulnerability to both sleep and mental health problems. Circadian preference (CP) describes an individuals’ preferred timing for sleep and wake activity, with this conceived as a continuum between the extremes of morningness and eveningness. CP has been shown to influence both sleep and mental health, with greater eveningness preference generally associating with worse outcomes. However, these relationships are understudied in student-athletes. Thus, this investigation was designed to assess the influence of CP on sleep, depression, and anxiety in Canadian student-athletes. Methods Data were obtained throughout the academic semester from Canadian institutions, with student-athletes completing the Athlete Sleep Screening Questionnaire (ASSQ), General Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire (PHQ-9). ASSQ captured sleep health characteristics and CP, while GAD-7 and PHQ-9 assessed anxiety and depressive symptoms, respectively. ASSQ CP response options were Definitely-Morning, Morning, Evening, or Definitely-Evening as response options, and was coded on a 0-3 scale, with higher values representing increasing eveningness preference. Linear regression estimated associations of CP with sleep, depression, and anxiety. Adjusted regressions controlled for age, gender, race/ethnicity, and sport type. Results Sample included 559 Canadian student-athletes (Average Age = 18.9 ± 3.21 years; Percentage Women = 53%; Percentage White = 79.1%) from eight different sports. Regarding CP, 11.4% reported Definitely-Morning, 27.0% reported Morning, 41.8% reported Evening, and 19.8% reported Definitely-Evening. Greater eveningness preference significantly associated with worse overall sleep difficulties (padjusted < 0.0001), longer sleep latency (padjusted < 0.0001), reduced sleep satisfaction (padjusted < 0.0001), more prolonged sleep inertia (padjusted < 0.0001), more daytime naps (padjusted = 0.01), and more severe depressive symptomatology (padjusted = 0.0006). Conclusion Greater eveningness in a sample of Canadian student-athletes associated with worse sleep and psychological characteristics, including overall sleep difficulty, sleep latency, sleep satisfaction, sleep inertia, daytime napping, and depressive symptom severity. The results of this study provide compelling evidence that eveningness CP may predict poor mental and sleep health outcomes in student-athletes. Thus, further attention to circadian characteristics of student-athletes is warranted. Additionally, modifications to training schedules and team routines could be considered as preventative strategies for mental and sleep health problems. Support (if any) Mitacs #IT23469

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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 routes2
Has abstractyes

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