ArticleOpen access journal of sports medicine2015
Pacing strategy in male elite and age group 100 km ultra-marathoners.
Article in Open access journal of sports medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006-2023.Scientific reports · 2025Article
- Article
- Pacing strategies in marathons: A systematic review.Heliyon · 2024Article
- Variable Pacing Is Associated with Performance during the OCCInternational journal of environmental research and public health · 2023Article
- Downhill Sections Are Crucial for Performance in Trail Running Ultramarathons-A Pacing Strategy Analysis.Journal of functional morphology and kinesiology · 2022Article
- The Effects of Sex, Age and Performance Level on Pacing in Ultra-Marathon Runners in the 'Spartathlon'.Sports medicine - open · 2022Article
- Even Pacing Is Associated with Faster Finishing Times in Ultramarathon Distance Trail Running-The "Ultra-Trail du Mont Blanc" 2008-2019.International journal of environmental research and public health · 2020Article
- Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices.Scientific reports · 2020Article
- The Differences in Pacing Among Age Groups of Amateur Cross-Country Skiers Depend on Performance.Journal of human kinetics · 2019Article
- The Combined Effect of Aging and Performance Level on Pacing in Duathlon - the "ITU Powerman Long Distance Duathlon World Championships".Frontiers in psychology · 2019Article
- Pacing and Changes in Body Composition in 48 h Ultra-Endurance Running-A Case Study.Sports (Basel, Switzerland) · 2018Article
- Pacing Decision Making in Sport and the Effects of Interpersonal Competition: A Critical Review.Sports medicine (Auckland, N.Z.) · 2018Review
- Pacing During and Physiological Response After a 12-Hour Ultra-Marathon in a 95-Year-Old Male Runner.Frontiers in physiology · 2018Article
- Pacing of an Untrained 17-Year-Old Teenager in a Marathon Attempt.International journal of exercise science · 2018Article
- Effect of age and performance on pacing of marathon runners.Open access journal of sports medicine · 2017Article
- Pacing in a self-paced world record attempt in 24-h road cycling.SpringerPlus · 2015Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pacing strategy has been investigated in elite 100 km and elite 161 km (100 mile) ultra-marathoners, but not in age group ultra-marathoners. This study investigated changes in running speed over segments in male elite and age group 100 km ultra-marathoners with the assumption that running speed would decrease over segments with increasing age of the athlete. Running speed during segments in male elite and age group finishers for 5-year age groups (ie, 18-24 to 65-69 years) in the 100 km Lauf Biel in Switzerland was investigated during the 2000-2009 period. Average running speed over segment time station (TS) TS1-TS2 (56.1 km) was compared with running speed Start-TS1 (38 km) and Start-TS3 (76.7 km) and running speed TS2-TS3 was compared with running speed Start-Finish. For the top ten athletes in each edition, running speed decreased from 2000 to 2009 for TS1-TS2 and TS2-TS3 (P<0.0001) but not in TS3-Finish (P>0.05). During TS1-TS2, athletes were running at 98.0%±2.1% of the running speed of Start-TS1. In TS2-TS3, they were running at 94.6%±3.4% of the running speed of TS1-TS2. In TS3-Finish, they were running at 95.5%±3.8% of running speed in TS2-TS3. For age group athletes, running speed decreased in TS1-TS2 and TS2-TS3. In TS3-Finish, running speed remained unchanged with the exception of the age group 40-44 years for which running speed increased. Running speed showed the largest decrease in the age group 18-24 years. To summarize, the top ten athletes in each edition maintained their running speed in the last segment (TS3-Finish) although running speed decreased over the first two segments (TS1-TS2 and TS2-TS3). The best pacers were athletes in the age group 40-44 years, who were able to achieve negative pacing in the last segment (TS3-Finish) of the race. The negative pacing in the last segment (TS3-Finish) was likely due to environmental conditions, such as early dawn and the flat circuit in segment TS3-Finish of the race.
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