0336 The Relationship Between Chronotype, Sleep and Sport Motivation in Adolescents
Bibliographic record
Abstract
Abstract Introduction Studies have shown that sleep affects physical performance and certain aspects of motivation in general. Even though it is well known that adolescents are generally sleep deprived, very few studies have investigated the impact of sleep on the inactivity of teens. The aim of this study was to determine the association between sleep and sport motivation in teenagers. Methods 176 young, physically active participants (10-18y; 86 male) completed an online survey comprised of questions extracted from the Adolescents Sleep Habits Survey, the Pediatric Daytime Sleepiness Scale, the Morningness Eveningness Questionnaire, and the Sports Motivation Scale-28. The self-determination theory of motivation was used to determine the different types of motivation, from the most autonomous motivation (intrinsic motivation) to the least autonomous (extrinsic motivation-externally regulated). Amotivation represent an absence of motivation. Pearson correlations were computed between the sleep variables (sleep habits, daytime sleepiness, chronotype score) and the motivation variables (different types of motivation, and amotivation scores). Results Results show that amotivation is significantly associated with daytime sleepiness (r=.16, p =.03). The external regulated form of extrinsic motivation score is significantly associated with daytime sleepiness (r=.157, p=.037), chronotype score (r=-.164, p=.03), and bedtimes on weekends (r=.156, p=.042). The intrinsic motivation score is significantly associated with wake times on weekdays (r=-189, p=.012). Conclusion These results suggest that eveningness, higher daytime sleepiness, and later bedtimes on weekends are associated with amotivation and external regulation of sport motivation. Research has shown that teens who present those two characteristics are more likely to drop out of sports teams or leagues. This could have important implications when addressing inactivity and sport motivation problems in adolescents. Support N/A
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".