Donaldson Byron, Bezodis Neil, Bayne Helen
Sport, Exercise Medicine and Lifestyle Institute (SEMLI) and Division of Biokinetics and Sport Science, Department of Physiology, University of Pretoria, Pretoria, South Africa.
Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, College of Engineering, Swansea University, Swansea, UK.
J Sports Sci. 2023 Oct;41(19):1768-1778. doi: 10.1080/02640414.2023.2298100. Epub 2024 Jan 7.
Identifying coordination strategies used by sprinters and features that differentiate these strategies will aid in understanding different technical approaches to initial sprint acceleration. Moreover, multiple effective coordination strategies may be available to athletes of similar ability, which typical group-based analyses may mask. This study aimed to identify sub-groups of sprinters based on thigh-thigh and shank-foot coordination during initial acceleration, and assess sprint performance across different combinations of coordination strategies. Angular kinematics were obtained from 21 sprinters, and coordination determined using vector coding methods, with step 1 and steps 2-4 separated for analysis. Performance was assessed using metrics derived from velocity-time profiles. Using hierarchical cluster analysis, three distinct coordination strategies were identified from thigh-thigh and shank-foot coordination in step 1 and two strategies in steps 2-4. Coordination strategies primarily differed around early flight thigh-thigh coordination and early stance shank-foot coordination in step 1, while timing of reversals in thigh rotation characterised differences in later steps. Higher performers tended to have greater lead thigh and foot dominance in step 1 and early swing thigh retraction in steps 2-4. The novel application of cluster analysis to coordination provides new insights into initial acceleration technique in sprinters, with potential considerations for training and performance.
识别短跑运动员使用的协调策略以及区分这些策略的特征,将有助于理解初始短跑加速的不同技术方法。此外,能力相似的运动员可能有多种有效的协调策略,而典型的基于群体的分析可能会掩盖这些策略。本研究旨在根据初始加速过程中大腿与大腿、小腿与足部的协调情况,确定短跑运动员的亚组,并评估不同协调策略组合下的短跑表现。从21名短跑运动员身上获取了角运动学数据,并使用矢量编码方法确定协调情况,将第1步和第2 - 4步分开进行分析。使用从速度 - 时间曲线得出的指标来评估表现。通过层次聚类分析,在第1步中从大腿与大腿、小腿与足部的协调情况中识别出三种不同的协调策略,在第2 - 4步中识别出两种策略。协调策略在第1步主要在早期腾空时大腿与大腿的协调以及早期支撑时小腿与足部的协调方面存在差异,而在后续步骤中,大腿旋转逆转的时间则体现了差异。表现较好的运动员在第1步往往具有更大的领先大腿和足部优势,在第2 - 4步中具有更早的摆动期大腿后缩。将聚类分析应用于协调研究为短跑运动员的初始加速技术提供了新的见解,对训练和表现具有潜在的参考价值。