超级马拉松跑的配速:2006-2023年西部各州100英里耐力跑。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Srdjan Markovic, Ivan Cuk, Pantelis T Nikolaidis, Katja Weiss, Thomas Rosemann, Volker Scheer, Mabliny Thuany, Beat Knechtle
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引用次数: 0

摘要

在不同的跑步比赛中,包括超级马拉松,已经对速度进行了调查。然而,我们对超越野跑的节奏知之甚少。迄今为止,还没有研究调查过最具代表性的超级越野跑比赛之一——“西部各州100英里耐力跑”(WSER)的速度,该比赛全长160公里(100英里),包括显著的海拔变化(垂直上坡6000米,垂直下坡7500米)。因此,本研究的目的是调查WSER中成功完成者的速度与性别、年龄和表现水平的关系。WSER的官方成绩和分道成绩是从赛事网站上获得的,包括3837名运动员的海拔数据,其中3068名男性(80%)和769名女性(20%)参加了2006年至2023年的比赛。计算每位参赛者的平均比赛速度,以及18个比赛检查点(17个辅助站和终点)的平均检查点速度。计算了检查点速度(CCS)相对于平均比赛速度的变化百分比。计算了18个检查点中的每个检查点的CCS,以评估每个跑步者的速度策略。每个参与者的检查点速度(ACCS)的平均变化被计算为18个ccs的平均值。形成了8个年龄组。由于25岁以下和65岁以上的跑步者很少,所以这些年龄组被分别合并为组。四个四分位数组成四个表现组,每个组分别占男性和女性总样本的25%。男性和女性的起搏在检查点之间表现出很大的差异,主要受海拔的影响。尽管比赛轮廓主要是下坡,但节奏趋势似乎是朝着积极的节奏发展。男女之间的差异主要体现在比赛开始时(男性起跑更快)和比赛结束时(男性跑得更慢)。男性比女性有更大的心率变异性,在最年轻的年龄组,以及40-44岁和50-54岁年龄组存在显著差异。此外,年轻男性比年长男性在速度上有更多的可变性。不同年龄组的女性没有显著差异。最后,最慢和最快的超级跑步者比中等水平的跑步者有更少的速度变化。wser跑步者的起搏在男性和女性的检查点之间表现出很大的差异。起搏是积极的,受海拔高度影响很大。男人开始比女人快,男人比女人慢。男性跑者的速度不同,但女性跑者没有。最慢和最快的超级跑步者比中等水平的跑步者有更少的速度变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006-2023.

Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006-2023.

Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006-2023.

Pacing in ultra-marathon running: the Western States 100-mile endurance run 2006-2023.

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 < 30 and 60 > 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.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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