IF 4.1 2区 医学 Q1 SPORT SCIENCES
Beat Knechtle, David Valero, Elias Villiger, Mabliny Thuany, Ivan Cuk, Pedro Forte, Marilia Santos Andrade, Pantelis T Nikolaidis, Thomas Rosemann, Katja Weiss
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引用次数: 0

摘要

背景:多项研究评估了对 IRONMAN® 铁人三项精英运动员成绩最具预测性的项目(游泳、自行车和跑步)。但是,还没有研究确定对 IRONMAN® 年龄组铁人三项运动员最具决定性的项目。本研究分析了三个项目对 IRONMAN® 年龄组铁人三项运动员总体比赛时间的重要性,以尝试确定对 IRONMAN® 年龄组铁人三项运动员最具预测性的项目,以及分项项目的重要性是否会随着年龄的增长而发生变化:这项横向研究使用了 687,696 份 IRONMAN® 年龄组铁人三项运动员的比赛记录(553,608 份来自男性,134,088 份来自女性)。年龄组运动员被分为 5 年年龄组(即 18-24 岁、25-29 岁、30-34 岁......、70-74 岁和最后 75 岁以上)。使用 Spearman 和 Pearson 相关性评估了分项(即游泳、自行车和跑步)与总体比赛时间之间的关系。使用多线性回归模型计算其预测强度:结果:男女 IRONMAN® 年龄组铁人三项运动员的总完成时间与自行车和跑步时间的相关性高于与游泳时间的相关性(女性分别为 r = 0.88 和 r = 0.89;男性分别为 r = 0.89 和 r = 0.90)。所有相关系数都随着年龄的增长而下降,这在游泳项目中更为明显:在 IRONMAN® 年龄组铁人三项运动员中,自行车和跑步比游泳更具有预测性,其中游泳的总比赛时间与分段时间之间的相关性随着年龄的增长而下降,比自行车和跑步更明显。这些见解有助于 IRONMAN® 年龄组铁人三项运动员及其教练规划 IRONMAN® 比赛准备工作,并将训练集中在更具预测性的项目上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cycling and Running are More Predictive of Overall Race Finish Time than Swimming in IRONMAN® Age Group Triathletes.

Background: Several studies have evaluated the most predictive discipline (swimming, cycling, and running) of performance in elite IRONMAN® triathletes. However, no study has ever determined the most decisive discipline for IRONMAN® age group triathletes. The present study analyzed the importance of the three disciplines on the overall race times in IRONMAN® age group triathletes, in order to try and determine the most predictive discipline in IRONMAN® for age group triathletes, and whether the importance of the split disciplines changes with increasing age.

Methods: This cross-sectional study used 687,696 IRONMAN® age group triathletes race records (553,608 from males and 134,088 from females). Age group athletes were divided in 5-year age groups (i.e., 18-24, 25-29, 30-34,…,70-74, and last 75 + years). The relationships between split disciplines (i.e., swimming, cycling, and running) and overall race times were evaluated using Spearman and Pearson correlations. A multi-linear regression model was used to calculate their prediction strength.

Results: The overall finish time correlated more with cycling and running times than with swimming times for both male and female IRONMAN® age group triathletes (r = 0.88 and r = 0.89 for females; r = 0.89 and r = 0.90 for males, respectively). All correlation coefficients decreased with increasing age, which was more noticeable for the swimming discipline.

Conclusions: Both cycling and running are more predictive than swimming in IRONMAN® age group triathletes, where the correlation between the overall race times and the split times decreased with increasing age more in swimming than in cycling and running. These insights are useful for IRONMAN® age group triathletes and their coaches in planning their IRONMAN® race preparation and concentrating training on the more predictive disciplines.

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来源期刊
Sports Medicine - Open
Sports Medicine - Open SPORT SCIENCES-
CiteScore
7.00
自引率
4.30%
发文量
142
审稿时长
13 weeks
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