Academic Journal
Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006–2023
| Title: | Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006–2023 |
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| Authors: | Srdjan Markovic, Ivan Cuk, Pantelis T. Nikolaidis, Katja Weiss, Thomas Rosemann, Volker Scheer, Mabliny Thuany, Beat Knechtle |
| Source: | Scientific Reports, Vol 15, Iss 1, Pp 1-12 (2025) |
| Publisher Information: | Nature Portfolio, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Ultra-endurance, Performance, Running, Trail, Variability, Medicine, Science |
| More Details: | Abstract Pacing has been investigated in different running races, including ultra-marathons. We have, however, little knowledge about pacing in ultra-trail running. To date, no study has investigated pacing in one of the most iconic ultra-trail running races, the ‘Western States 100-Mile Endurance Run’ (WSER), which covers 160 km (100 miles) and includes significant elevation changes (6000 vertical meters uphill and 7500 vertical meters downhill). Therefore, the aim of the study was to investigate pacing for successful finishers in WSER regarding gender, age, and performance level. Official results and split times for the WSER were obtained from the race website, including elevation data from 3837 runners, with 3068 men (80%) and 769 women (20%) competing between 2006 and 2023. The mean race speed was calculated for each participant, as well as the average mean checkpoint speed for each of the 18 race checkpoints (17 aid stations and finish point). The percentage of change in checkpoint speed (CCS) in relation to the average race speed was calculated. CCS was calculated for each of the 18 checkpoints to evaluate each runner’s pacing strategy. The average change in checkpoint speed (ACCS) of each participant was calculated as a mean of the 18 CCSs. Eight age groups were formed. Since there were very few runners younger than 25 and older than 65 years, these age groups were merged into groups, respectively. Four performance groups were formed by four quartiles, each consisting of 25% of the total sample separately for men and women. Pacing shows great variability between checkpoints in both men and women, mainly influenced by elevation. Although the race profile is mostly downhill, it appears that the pacing trend is towards positive pacing. The differences between men and women were mainly at the beginning of the race (men start faster) and towards the end (men slow down more). Men have more pacing variability than women, with significant differences in the youngest age group, as well as the 40–44 and 50–54 age groups. In addition, younger men have more variability in pace compared to older men. There are no significant differences in age groups in women. Finally, the slowest and fastest ultra runners had less pacing variability than medium level runners. Pacing in WSER-runners shows great variability between checkpoints in both men and women. Pacing is positive and highly influenced by elevation. Men start faster than women, and men slow down more than women. Pacing differs in male but not in female age group runners. The slowest and fastest ultra runners had less pacing variability than medium level runners. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-025-92141-2 |
| Access URL: | https://doaj.org/article/bc45acbf832f48188b816e69b7c5bc7a |
| Accession Number: | edsdoj.bc45acbf832f48188b816e69b7c5bc7a |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-025-92141-2 |
| Published in: | Scientific Reports |
| Language: | English |