Classification of Force-Time Metrics Into Lower-Body Strength Domains.

IF 2.5 2区 医学 Q2 SPORT SCIENCES
Mary C Geneau, David L Carey, Paul B Gastin, Sam Robertson, Lachlan P James
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引用次数: 0

Abstract

Abstract: Geneau, MC, Carey, DL, Gastin, PB, Robertson, S, and James, LP. Classification of force-time metrics into lower-body strength domains. J Strength Cond Res 38(9): 1561-1567, 2024-The purpose of this study was to classify force-time metrics into distinct lower-body strength domains using a systematic data reduction analysis. A cross-sectional design was used, whereby competitive field sport athletes ( F = 39, M = 96) completed a series of drop jumps, squat jumps, countermovement jumps (CMJs), loaded CMJs, and 2 isometric tasks on portable force platforms, resulting in a total of 285 force-time performance metrics. The metrics were split into 4 test "families" and each was entered into a sparse principal component analysis (sPCA) model. A single metric from each component of each family-specific sPCA were selected based on the loading, reliability, and simplicity of the metric and entered into a second sPCA that included metrics across all tests. The final sPCA revealed 7 principal components each containing 2 metrics and explained a total of 53% variance of the dataset. The final principal components were interpreted as 7 lower-body strength domains: (a) dynamic force, (b) dynamic timing, (c) early isometric, (d) maximal isometric, (e) countermovement velocity, (f) reactive output, and (g) reactive timing. The findings demonstrate that a total of 7 metrics from a drop jump, CMJ, and isometric test can be used to represent ∼50% of variance in lower-body strength performance of field sport athletes. These results can help guide and simplify the lower-body strength diagnosis process in field sport athletes.

将力-时间指标分类到下肢力量领域。
摘要: Geneau、MC、Carey、DL、Gastin、PB、Robertson、S 和 James、LP。下半身力量领域的力-时间指标分类。J Strength Cond Res XX(X):000-000,2024-本研究的目的是通过系统的数据还原分析,将力-时间指标划分为不同的下半身力量领域。研究采用横断面设计,让竞技田径运动员(女 = 39,男 = 96)在便携式测力平台上完成一系列落跳、蹲跳、反向运动跳(CMJ)、加载 CMJ 和 2 个等长任务,共得出 285 个力时表现指标。这些指标被分成 4 个测试 "系列",并分别输入稀疏主成分分析(sPCA)模型。根据指标的载荷、可靠性和简易性,从每个系列特定 sPCA 的每个分量中选择一个指标,并将其输入包含所有测试指标的第二个 sPCA 中。最终的 sPCA 显示了 7 个主成分,每个主成分包含 2 个指标,总共解释了数据集 53% 的方差。最终的主成分被解释为 7 个下肢力量领域:(a)动态力量;(b)动态计时;(c)早期等距;(d)最大等距;(e)反运动速度;(f)反应输出;以及(g)反应计时。研究结果表明,从落点跳跃、CMJ 和等长测试中得出的总共 7 项指标可用于代表野外运动运动员下肢力量表现差异的 50%。这些结果有助于指导和简化野外运动运动员的下肢力量诊断过程。
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来源期刊
CiteScore
6.70
自引率
9.40%
发文量
384
审稿时长
3 months
期刊介绍: The editorial mission of The Journal of Strength and Conditioning Research (JSCR) is to advance the knowledge about strength and conditioning through research. A unique aspect of this journal is that it includes recommendations for the practical use of research findings. While the journal name identifies strength and conditioning as separate entities, strength is considered a part of conditioning. This journal wishes to promote the publication of peer-reviewed manuscripts which add to our understanding of conditioning and sport through applied exercise science.
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