VO2max and Velocity at VO2max Play a Role in Ultradistance Trail-Running Performance

Author:

Sabater-Pastor Frederic1ORCID,Tomazin Katja2ORCID,Millet Grégoire P.3ORCID,Verney Julien4ORCID,Féasson Léonard15ORCID,Millet Guillaume Y.1ORCID

Affiliation:

1. Laboratoire Interuniversitaire de Biologie de la Motricité, Université Jean Monnet-Saint-Etienne, Université de Lyon, Saint-Etienne, France

2. Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia

3. Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland

4. Laboratoire des Adaptations Métaboliques à l’Exercice en Condition Physiologique et Pathologique (AME2P), Université Clermont Auvergne, Aubière, France

5. Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France

Abstract

Purpose: Previous research has shown that maximal oxygen uptake (VO2max) significantly influences performance in trail-running races up to 120 km but not beyond. Similarly, the influence of running economy on performance in ultratrail remains unclear. The aim of our study was, therefore, to determine the physiological predictors of performance in a 166-km trail-running race. Methods: Thirty-three experienced trail runners visited the laboratory 4 to 8 weeks before the race to undergo physiological testing including an incremental treadmill test and strength assessments. Correlations and regression analyses were used to determine the physiological variables related to performance. Results: Average finishing time was 37:33 (5:52) hours. Performance correlated significantly with VO2max (r = −.724, P < .001), velocity at VO2max (r = −.813, P < .001), lactate turn point expressed as percentage of VO2max (r = −.510, P = .018), cost of running (r = −.560, P = .008), and body fat percentage (r = .527, P = .012) but was not related to isometric strength. Regression analysis showed that velocity at VO2max predicted 65% of the variability in performance (P < .001), while a model combining VO2max and cost of running combined predicted 62% of the variability (P = .008). Conclusion: This is the first study to show that VO2max and velocity at VO2max are significant predictors of performance in a 166-km trail-running race. This suggests that ultratrail runners should focus on the development of these 2 qualities to optimize their race performance.

Publisher

Human Kinetics

Subject

Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation

Reference29 articles.

1. Defining off-road running: a position statement from the ultra sports science foundation;Scheer V,2020

2. The energetics of endurance running;di Prampero P,1986

3. Determinants of 800-m and 1500-m running performance using allometric models;Ingham SA,2008

4. Short trail running race: beyond the classic model for endurance running performance;Ehrström S,2018

5. Sacrificing economy to improve running performance—a reality in the ultramarathon?;Millet GY,2012

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3