0208 Are Canadian Varsity Athletes Sleeping Well? Insights on Adherence to Optimal Sleep Recommendations
Bibliographic record
Abstract
Abstract Introduction In 2021, Walsh and colleagues highlighted the importance of sleep education for athletes and proposed a series of tips to educate athletes. These tips can be summarized as follow: (1) get more sleep than the standard recommendations; (2) nap to supplement insufficient nocturnal sleep; (3) maintain a good sleep hygiene; (4) having a training schedule in-line with their chronotype. The aim of this study was to explore the proportion of Canadian varsity students who follow these recommendations. Methods A total of 173 Canadian varsity athletes (M=20.8 ±2 years 66.5% females) completed an anonymous online survey of about 20 minutes during the academic year. The survey included questions about sleep habits, sleep hygiene, sleep environment, training schedule and lifestyle habits. Results Data showed that 65.8% of athletes do not get 8 hours of sleep during weekdays and 29% during weekends. Moreover, 31.5% of athletes do not even get 7 hours of sleep on average during weekdays and 11% during weekends. In addition, before a game, 58,4% rarely or do not nap, while 41,1% occasionally or always nap. On the other hand, during regular weekdays, 66.9% will nap at least once, while 33,1% never nap. Regarding training, 58.3% report training at a time that is not in-lined with their chronotypes. Data on sleep hygiene show that 65% of the athletes use their cellphone within one hour of going to bed, seven days a week, and 33.3% do not turn their notifications off during the night. Finally, 21.4% report that their sleep is disturbed by roommates, 41% report that ambient temperature is interfering with their sleep, 30.1% that ambient light affects their sleep, and 32.9% of them report environmental noise disturbing their sleep. Conclusion These results highlight that Canadian varsity athletes seem to be far from sleeping in line with the recommendations set by Walsh et al (2021). Most of Canadians varsity athletes do not get enough sleep. Our results also seem to indicate that Canadian varsity athletes may not be sleeping in an environment conducive to optimal sleep. Further studies are needed to investigate the factors that may prevent athletes from achieving optimal sleep. Support (if any)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".