Earlier shift in race pacing can predict future performance during a single-effort ultramarathon under sleep deprivation
| Autor: | Allison J Brager, Sukru Demiral, John Choynowski, Jess Kim, Bill Campbell, Vincent F Capaldi, Guido Simonelli, Steve Hammer |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Sleep Science, Vol 13, Iss 1, Pp 25-31 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1984-0659 1984-0063 |
| DOI: | 10.5935/1984-0063.20190132 |
| Popis: | Objective: We constructed research camps at single-effort ultramarathons (50 and 100 miles) in order to study human endurance capabilities under extreme sleep loss and stress. It takes > 24h, on average, to run 100 miles on minimal sleep, allowing us to construct 24h human performance profiles (HPP). Methods: We collected performance data plotted across time (race splits) and distance (dropout rates; n=257), self-reported sleep and training patterns (n=83), and endpoint data on cardiovascular fitness/adaptation to total sleep deprivation and extreme exercise/stress (n=127). Results: In general, we found that self-reported napping was higher for 100-miler versus 50-miler runners and that ultra-endurance racing may possibly pre-select for early morning risers. We also compared HPPs between the first 50 miles completed by all runners in order to examine amplitude and acrophase differences in performance using a cosinor model. We showed that even though all runners slowed down over time, runners who completed a 100-miler ultramarathon had an earlier acrophase shift in race pace compared to non-finishers. Discussion: We were able to identify timedependent predictions on overall performance under minimal sleep, warranting the ultramarathon athlete as a unique demographic for future study of sleep and chronobiological relationships in the real world. |
| Databáze: | Directory of Open Access Journals |
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