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通过代谢和力学变量预测 10 公里成绩:运动水平和次最大跑跳增强的影响。

10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation.

机构信息

Postgraduate Program, Catholic University of Brasilia, Águas Claras, Brazil.

Research Center for Human Nutrition (CENINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Córdoba, Argentina.

出版信息

J Sports Sci. 2021 May;39(10):1114-1126. doi: 10.1080/02640414.2020.1860361. Epub 2021 Jan 3.

DOI:10.1080/02640414.2020.1860361
PMID:33393434
Abstract

We aimed to develop models to explain performance and pacing during a 10-km running trial.Well-trained runners (n = 27, VO = 62.3 ± 4.5 mL·kg·min) divided into High (HPG, T = 33.9 ± 1.2 min, n = 9) and Low (LPG, T = 37.9 ± 1.2 min, n = 18) performers completed, in different days, the half squat and loaded squat jump (LSJ) exercises (1 day), an incremental test and a submaximal running bout to induce jump potentiation (2 day), and a 10-km time trial (3 day). Pacing was significantly different between performance groups (p < 0.05). The inclusion of mechanical and metabolic variables increased the explained variance in performance (LPG, radj = 0.87, p < 0.001; HPG, radj = 0.99 p < 0.01). Analysis between potentiation and non-potentiation groups revealed significant differences for the speed in the last 400 m (p = 0.02), and in the final RPE (p = 0.03). Performance and pacing can be explained by combining metabolic and mechanical variables and should be controlled by performance level. The relationship between jump potentiation and speed during the last 400 m may suggest that post-activation performance enhancement could be involved in pacing regulation.

摘要

我们旨在开发模型来解释 10 公里跑步试验中的表现和配速。经过良好训练的跑步者(n=27,VO=62.3±4.5 mL·kg·min)分为高表现组(HPG,T=33.9±1.2 min,n=9)和低表现组(LPG,T=37.9±1.2 min,n=18),他们在不同的日子里完成了半蹲和负重深蹲跳(LSJ)练习(1 天)、递增测试和亚最大跑步试验以诱导跳跃增强(2 天)以及 10 公里计时赛(3 天)。表现组之间的配速差异显著(p<0.05)。纳入机械和代谢变量可提高表现的解释方差(LPG,radj=0.87,p<0.001;HPG,radj=0.99,p<0.01)。增强组和非增强组之间的分析显示,最后 400 米的速度(p=0.02)和最后 RPE(p=0.03)存在显著差异。通过结合代谢和机械变量可以解释表现和配速,并且应该根据表现水平进行控制。跳跃增强与最后 400 米速度之间的关系可能表明,激活后表现增强可能参与配速调节。

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