ArticleSleep science (Sao Paulo, Brazil)
Earlier shift in race pacing can predict future performance during a single-effort ultramarathon under sleep deprivation.
Article in Sleep science (Sao Paulo, Brazil). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Pacing profiles and slowdown patterns in ultra-triathlon performance.Scientific reports · 2026Article
- The Sleep-Wake Cycle Pattern of a Blind Trail Ultramarathon Runner and His Guide: The World's First Case.Clocks & sleep · 2025Article
- Case Report: Differences in self-selected pacing in 20, 40, and 60 ironman-distance triathlons: a case study.Frontiers in sports and active living · 2024Article
- Sleep-Wake Behaviour of 200-Mile Ultra-Marathon Competitors: A Case Study.International journal of environmental research and public health · 2022Observational
- Adiponectin, leptin, cortisol, neuropeptide Y and profile of mood states in athletes participating in an ultramarathon during winter: An observational study.Frontiers in physiology · 2022Article
- Sleep and nutritional profile of endurance and ultra-endurance running athletes.Sleep science (Sao Paulo, Brazil)Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe 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).
methodsWe 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).
resultsIn 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 time-dependent 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.
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