Suppr超能文献

肢体间不对称:数据分析需要个体化方法。

Interlimb Asymmetries: The Need for an Individual Approach to Data Analysis.

机构信息

Faculty of Science and Technology, London Sports Institute, Middlesex University, London, United Kingdom.

Department of Sport and Exercise Sciences, University of Chichester, West Sussex, United Kingdom.

出版信息

J Strength Cond Res. 2021 Mar 1;35(3):695-701. doi: 10.1519/JSC.0000000000002729.

Abstract

Bishop, C, Lake, J, Loturco, I, Papadopoulos, K, Turner, A, and Read, P. Interlimb asymmetries: the need for an individual approach to data analysis. J Strength Cond Res 35(3): 695-701, 2021-It has been shown that the magnitude of interlimb asymmetries varies depending on the test selected; however, literature relating to whether asymmetries always favor the same limb is scarce. The aim of this study was to determine whether interlimb asymmetries always favored the same side for common metrics across unilateral strength and jumping-based tests. Twenty-eight recreational sport athletes performed unilateral isometric squats, single-leg countermovement jumps, and single-leg broad jumps with asymmetries in peak force compared across all tests, and eccentric and concentric impulse asymmetries compared between jumps. Mean asymmetries for all tests were low (≤-5.3%), and all interlimb differences for jump tests favored the left limb, whereas asymmetries during the isometric squat favored the right limb. Despite the low mean asymmetry values, individual data highlighted substantially greater differences. Levels of agreement for asymmetries were computed through the Kappa coefficient and ranged from slight to substantial (<0.01-0.79), although concentric impulse asymmetries for jump tests was the only comparison with result in substantial levels of agreement. With asymmetries rarely being present on the same side across tests, these results show that a more individual approach to reporting asymmetries is required, which should help practitioners when designing targeted training interventions for their reduction.

摘要

毕晓普、C、雷克、J、洛图尔科、I、帕帕佐普洛斯、K、特纳、A 和里德、P. 肢体间的不对称:数据分析需要个体化方法。J 力量与调节研究 35(3):695-701,2021 年-已经表明,肢体间不对称的程度取决于所选测试;然而,关于不对称是否总是有利于同一肢体的文献很少。本研究的目的是确定在常见的单肢力量和跳跃测试中,肢体间的不对称是否总是有利于同一侧。28 名休闲运动运动员进行了单侧等长深蹲、单腿反向跳跃和单腿跳远,所有测试的峰值力都存在不对称,跳跃之间的离心和向心冲量不对称。所有测试的平均不对称性都很低(≤-5.3%),所有跳跃测试的肢体间差异都有利于左腿,而等长深蹲的不对称性则有利于右腿。尽管平均不对称值较低,但个体数据显示出更大的差异。不对称的一致性水平通过 Kappa 系数计算,范围从轻微到显著(<0.01-0.79),尽管跳跃测试的向心冲量不对称是唯一具有显著一致性水平的比较。由于不对称性很少在不同的测试中出现在同一侧,这些结果表明,需要采用更个体化的方法来报告不对称性,这将有助于从业者在为减少不对称性而设计有针对性的训练干预时。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验