0210 Poor Sleep Quality and Excessive Daytime Sleepiness Among Canadian University Students: A Comparison a Varsity Athletes and Sedentary Students
Bibliographic record
Abstract
Abstract Introduction Studies have shown that professional athletes and American varsity athletes experience sleep disturbances and short sleep duration, which lead to impaired daytime functioning. Nevertheless, very little is known about Canadian varsity athletes. The objective of this study is to compare the sleep of Canadian varsity athletes and sedentary university students. Methods A total of 676 Canadian university students (166 varsity athletes and 510 sedentary students; M= 21.73 ±3.00; 73.4% females) completed an anonymous online survey which included the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Insomnia Severity Index (ISI). Mantel-Haenszel chi-square analyses were used to determine differences in the rates of sleep quality, excessive daytime sleepiness, and insomnia symptoms between varsity athletes and sedentary students, controlling for gender. The Mantel-Haenszel analysis was also employed to compare the proportion of varsity athletes and sedentary students who met the recommended minimum daily sleep duration of 7 hours. Results Results showed no group difference on the PSQI, χ2 (1) = 1.15, p=.284, and ESS scores, χ2 (1) = 1.46, p=.228. Data showed that 81.3% of varsity athletes and 86.7% of sedentary students scored > 5 on the PSQI. Also, 60.2% of varsity athletes and 53.6% of sedentary students scored > 10 on the ESS. Results showed that varsity students had significantly fewer insomnia symptoms than sedentary students, χ2 (1) = 11.43, p <.001. Furthermore, data revealed that 27.0% of sedentary students had clinical insomnia, whereas 7.8% of varsity athletes did. Also, 32.1% of varsity athletes and 42.3% of sedentary students slept less than 7 hours per night on weekdays, whereas it was 10.4% and 14.3%, respectively, on weekends. Conclusion These results suggest that the sleep of varsity students doesn’t seem to be very different from that of sedentary students. Yet, both populations show significant sleep problems, including short sleep duration and sleep disturbances that may affect daytime functioning. Given the importance of sleep for mental health, recovery and athletic performance, this study highlights the urgent need for concrete strategies to target university students, whether they are an athlete or not. Support (if any)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".