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使用负重反跳进行重复力量能力评估时的力-时曲线变化。

Changes in the force-time curve during a repeat power ability assessment using loaded countermovement jumps.

机构信息

Sport Science, New South Wales Institute of Sport, Sydney Olympic Park, New South Wales, Australia.

Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia.

出版信息

PeerJ. 2024 Oct 4;12:e17971. doi: 10.7717/peerj.17971. eCollection 2024.

Abstract

BACKGROUND

Repeat power ability (RPA) assessments traditionally use discrete variables, such as peak power output, to quantify the change in performance across a series of jumps. Rather than using a discrete variable, the analysis of the entire force-time curve may provide additional insight into RPA performance. The aims of this study were to (1) analyse changes in the force-time curve recorded during an RPA assessment using statistical parametric mapping (SPM) and (2) compare the differences in the force-time curve between participants with low and high RPA scores, as quantified by traditional analysis.

MATERIALS AND METHODS

Eleven well-trained field hockey players performed an RPA assessment consisting of 20 loaded countermovement jumps with a 30% one repetition maximum half squat load (LCMJ20). Mean force-time series data was normalized to 100% of the movement duration and analysed using SPM. Peak power output for each jump was also derived from the force-time data and a percent decrement score calculated for jumps 2 to 19 (RPA). An SPM one-way ANOVA with significance accepted at  = 0.05, was used to identify the change in the force-time curve over three distinct series of jumps across the LCMJ20 (series 1 = jumps 2-5, series 2 = jumps 9-12 and series 3 = jumps 16-19). A secondary analysis, using an independent -test with significance accepted at  < 0.001, was also used to identify differences in the force-time curve between participants with low and high RPA.

RESULTS

Propulsive forces were significantly lower ( < 0.001) between 74-98% of the movement compared to 0-73% for changes recorded during the LCMJ20. analysis identified the greatest differences to occur between jump series 1 and jump series 2 ( < 0.001) at 70-98% of the movement and between jump series 1 and jump series 3 ( < 0.001) at 86-99% of the movement. No significant differences were found between jump series 2 and jump series 3. Significant differences ( < 0.001) in both the braking phase at 44-48% of the jump and the propulsive phase at 74-94% of the jump were identified when participants were classified based on low or high RPA scores (with low scores representing an enhanced ability to maintain peak power output than high scores).

CONCLUSION

A reduction in force during the late propulsive phase is evident as the LCMJ20 progresses. SPM analysis provides refined insight into where changes in the force-time curve occur during performance of the LCMJ20. Participants with the lower RPA scores displayed both larger braking and propulsive forces across the LCMJ20 assessment.

摘要

背景

重复功率能力(RPA)评估传统上使用离散变量,如峰值功率输出,来量化一系列跳跃中的性能变化。而不是使用离散变量,对整个力-时间曲线的分析可能会提供对 RPA 性能的更多见解。本研究的目的是:(1)使用统计参数映射(SPM)分析 RPA 评估中记录的力-时间曲线的变化;(2)比较传统分析中 RPA 得分较低和较高的参与者之间的力-时间曲线的差异。

材料和方法

11 名训练有素的曲棍球运动员进行了 RPA 评估,包括 20 次负载的反向运动跳跃,负载为 30%一次重复最大半蹲负载(LCMJ20)。平均力-时间序列数据被归一化为运动持续时间的 100%,并使用 SPM 进行分析。从力-时间数据中还得出了每个跳跃的峰值功率输出,并计算了跳跃 2 到 19 的百分比递减分数(RPA)。使用 SPM 单向方差分析,接受显著性水平为 0.05,用于识别 LCMJ20 三次跳跃系列(系列 1=跳跃 2-5,系列 2=跳跃 9-12,系列 3=跳跃 16-19)中力-时间曲线的变化。还使用独立 t 检验(显著性水平接受 0.001)进行了二次分析,以确定 RPA 得分较低和较高的参与者之间的力-时间曲线的差异。

结果

与 0-73%的运动相比,在 74-98%的运动中,推进力显著降低(<0.001)。分析确定,在 LCMJ20 期间记录的变化中,最大的差异发生在跳跃系列 1 和跳跃系列 2 之间(<0.001),在 70-98%的运动中,以及跳跃系列 1 和跳跃系列 3 之间(<0.001),在 86-99%的运动中。在跳跃系列 2 和跳跃系列 3 之间未发现显著差异。当根据 RPA 得分的高低(低得分代表比高分更高的保持峰值功率输出的能力)对参与者进行分类时,在跳跃的 44-48%的制动阶段和跳跃的 74-94%的推进阶段都发现了显著差异(<0.001)。

结论

随着 LCMJ20 的进行,在后期推进阶段力的下降是明显的。SPM 分析提供了对 LCMJ20 性能期间力-时间曲线变化的更深入了解。RPA 得分较低的参与者在整个 LCMJ20 评估中显示出更大的制动和推进力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4426/11457872/ce72e86e2210/peerj-12-17971-g001.jpg

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