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使用 OMNI-RES 量表预测上肢的输出功率。

Predicting Power Output of Upper Body using the OMNI-RES Scale.

机构信息

CTS 642 Research Group Dept. of Physical Activity and Sport. University of Granada (Spain).

CTS 642 Research Group Dept. of Physical Activity and Sport. University of Granada (Spain). ; Department of Methodology of Behavioural Sciences. University of Granada (Spain).

出版信息

J Hum Kinet. 2014 Dec 30;44:161-9. doi: 10.2478/hukin-2014-0122. eCollection 2014 Dec 9.

DOI:10.2478/hukin-2014-0122
PMID:25713677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4327367/
Abstract

The main aim of this study was to determine the optimal training zone for maximum power output. This was to be achieved through estimating mean bar velocity of the concentric phase of a bench press using a prediction equation. The values for the prediction equation would be obtained using OMNI-RES scale values of different loads of the bench press exercise. Sixty males (age 23.61 2.81 year; body height 176.29 6.73 cm; body mass 73.28 4.75 kg) voluntarily participated in the study and were tested using an incremental protocol on a Smith machine to determine one repetition maximum (1RM) in the bench press exercise. A linear regression analysis produced a strong correlation (r = -0.94) between rating of perceived exertion (RPE) and mean bar velocity (Velmean). The Pearson correlation analysis between real power output (PotReal) and estimated power (PotEst) showed a strong correlation coefficient of r = 0.77, significant at a level of p = 0.01. Therefore, the OMNI-RES scale can be used to predict Velmean in the bench press exercise to control the intensity of the exercise. The positive relationship between PotReal and PotEst allowed for the identification of a maximum power-training zone.

摘要

本研究的主要目的是确定最大输出功率的最佳训练区。这是通过使用预测方程来估计卧推的同心阶段的平均杆速度来实现的。预测方程的值将通过使用 OMNI-RES 量表对卧推练习的不同负荷值来获得。60 名男性(年龄 23.61±2.81 岁;身高 176.29±6.73cm;体重 73.28±4.75kg)自愿参加了这项研究,并在史密斯机器上进行了递增式测试,以确定卧推练习的 1 次重复最大力量(1RM)。线性回归分析在感觉用力(RPE)和平均杆速度(Velmean)之间产生了很强的相关性(r=-0.94)。实际功率输出(PotReal)和估计功率(PotEst)之间的皮尔逊相关分析显示相关系数 r=0.77,在 p=0.01 的水平上具有统计学意义。因此,OMNI-RES 量表可用于预测卧推练习中的 Velmean,以控制运动强度。PotReal 和 PotEst 之间的正相关关系允许确定最大功率训练区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a774/4327367/60fb7467dece/jhk-44-161f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a774/4327367/76bd34c8c1be/jhk-44-161f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a774/4327367/60fb7467dece/jhk-44-161f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a774/4327367/76bd34c8c1be/jhk-44-161f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a774/4327367/60fb7467dece/jhk-44-161f2.jpg

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