Norwegian Olympic Federation, Oslo, Norway.
Norwegian University of Science and Technology, Trondheim, Norway.
PLoS One. 2019 Jul 24;14(7):e0215551. doi: 10.1371/journal.pone.0215551. eCollection 2019.
The main aim of this investigation was to quantify differences in sprint mechanical variables across sports and within each sport. Secondary aims were to quantify sex differences and relationships among the variables.
In this cross-sectional study of elite athletes, 235 women (23 ± 5 y and 65 ± 7 kg) and 431 men (23 ± 4 y and 80 ± 12 kg) from 23 different sports (including 128 medalists from World Championships and/or Olympic Games) were tested in a 40-m sprint at the Norwegian Olympic Training Center between 1995 and 2018. These were pre-existing data from quarterly or semi-annual testing that the athletes performed for training purposes. Anthropometric and speed-time sprint data were used to calculate the theoretical maximal velocity, horizontal force, horizontal power, slope of the force-velocity relationship, maximal ratio of force, and index of force application technique.
Substantial differences in mechanical profiles were observed across sports. Athletes in sports in which sprinting ability is an important predictor of success (e.g., athletics sprinting, jumping and bobsleigh) produced the highest values for most variables, whereas athletes in sports in which sprinting ability is not as important tended to produce substantially lower values. The sex differences ranged from small to large, depending on variable of interest. Although most of the variables were strongly associated with 10- and 40-m sprint time, considerable individual differences in sprint mechanical variables were observed among equally performing athletes.
Our data from a large sample of elite athletes tested under identical conditions provides a holistic picture of the force-velocity-power profile continuum in athletes. The data indicate that sprint mechanical variables are more individual than sport specific. The values presented in this study could be used by coaches to develop interventions that optimize the training stimulus to the individual athlete.
本研究的主要目的是量化不同运动项目和同一运动项目内的短跑力学变量差异。次要目的是量化性别差异以及变量之间的关系。
在这项对精英运动员的横断面研究中,共有 235 名女性(23±5 岁,65±7kg)和 431 名男性(23±4 岁,80±12kg)来自 23 个不同的运动项目(包括 128 名世界锦标赛和/或奥运会奖牌获得者),他们在 1995 年至 2018 年间在挪威奥林匹克训练中心进行了 40m 短跑测试。这些数据是运动员为训练目的进行的季度或半年度测试的已有数据。人体测量和速度时间短跑数据用于计算理论最大速度、水平力、水平功率、力速度关系斜率、最大力比和力应用技术指数。
跨运动项目观察到力学特征存在显著差异。在短跑能力是成功重要预测因素的运动项目(如田径短跑、跳跃和雪橇)中,运动员产生的大多数变量值最高,而在短跑能力不重要的运动项目中,运动员产生的数值则低得多。性别差异取决于感兴趣的变量,范围从小到很大。虽然大多数变量与 10m 和 40m 短跑时间高度相关,但在表现相当的运动员中,短跑力学变量仍存在相当大的个体差异。
我们从在相同条件下测试的大量精英运动员中获得的数据提供了运动员力速度功率特征连续体的整体图景。数据表明,短跑力学变量比运动项目更具个体性。本研究中给出的数值可以被教练用来开发干预措施,以使训练刺激最优化到个体运动员。