Timing‐based strategies to minimize the impact of long‐haul travel on sleep: A pilot study in elite athletes traveling for competition
Bibliographic record
Abstract
Long-haul travel poses significant challenges to sleep in elite athletes, yet evidence-based interventions tested in competitive settings remain scarce. This study investigated the effects of timing-based interventions on sleep in 10 national-level Canadian speed skaters prior to a World Cup competition in Beijing (13 time zones crossed). Athletes followed a tailored sleep schedule upon arrival and for the days preceding the competition. Total sleep time in Beijing was not different from Canada (p = 0.254) or pre-season (p = 0.999) and was lower the night before travel (p < 0.001) due to the early flight to Beijing. When comparing data with a similar dataset presenting no intervention, bedtime was successfully delayed and resulted in later wake-up time and longer total sleep time. Total sleep time increased by ~10 min/night, suggesting adjustments in sleep-wake rhythm during the first days upon arrival were still present. Race performance was unaffected by travel, with no time effect on overall rank (p = 0.74). These preliminary findings suggest that individualized timing-based strategies might support sleep regulation and circadian re-synchronization in elite athletes following long-haul travel. Further studies are warranted to confirm these results in larger samples and explore the effectiveness of customized timing-based intervention on different time changes and on performance.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".