用分阶段5-0-5分析分析方向能力变化

Chloe Ryan, Aaron M. Uthoff, C. McKenzie, J. Cronin
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引用次数: 1

摘要

转向能力(COD)是大多数场地和场地运动运动员的重要组成部分。改良的5-0-5 COD测试是一种常用的测试180度COD性能的测试,使用多定时灯设置将测试分为子阶段,可以提高其诊断价值。本研究的目的是确定5-0-5 COD测试在180度COD测试中所占的比例,运动员的人体测量和位置是否会影响分阶段的表现,并为教练和从业者提供一种改进诊断的替代方法。10名优秀女子无挡板篮球运动员参加了本研究。设置在0、2和4 m的双波束定时门用于隔离5-0-5 COD测试的相位并量化COD性能。采用独立t检验评估人体测量、体位和分阶段表现之间的统计学意义(p<0.05)。还对子相性能进行了排序,以确定各相的个性化性能。在180度转弯和再加速阶段花费的时间比例最高(~23%)。体重较重的运动员在减速(9.26%)、180度转弯(17.1%)、再加速(7.32%)和总时间(8.68%)方面均显著慢于体重较重的运动员,而身高较矮的运动员之间无显著差异。子阶段排序表用于提供诊断和训练见解,从而允许更有针对性的编程来提高COD性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling Change of Direction Ability Using Sub-phase 5-0-5 Analysis
Change of direction (COD) ability is an important component for most field and court sport athletes. The modified 5-0-5 COD test is a commonly used test to measure 180-degree COD performance, the diagnostic value of which can be advanced using a multiple-timing light set-up to divide the test into sub-phases. The aim of this research was to determine what proportion of the 5-0-5 COD test was spent performing the 180-degree COD, whether anthropometry and position of the player influenced the sub-phase performance and provide an alternative approach to improve diagnostics for coaches and practitioners. Ten elite female netball athletes participated in this study. Dual beam timing gates set at 0, 2, and 4 m were used to isolate the phases of the 5-0-5 COD test and quantify COD performance. Independent t-tests were used to assess statistical significance (p<0.05) between anthropometry, position, and performance of the sub-phases. Rank-order of sub-phase performance was also conducted to determine individualized performance across phases. The highest percentage of time was spent during the 180-degree turn and reacceleration 1 phase (~23%). Heavier athletes were significantly slower for deceleration (9.26%), 180-degree turn (17.1%), reacceleration 2 (7.32%) and total time (8.68%), however no differences were identified between taller and shorter players. A sub-phase rank order table was used to provide diagnostic and training insights that allow more targeted programming to improve COD performance. 
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