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基于提升速度监测的抗阻训练强度制定方法。

Resistance Training Intensity Prescription Methods Based on Lifting Velocity Monitoring.

机构信息

Department of Physical Education and Sport, University of Granada, Granada, Spain.

Department of Sports Sciences and Physical Conditioning, Universidad Catolica de la Santisima Concepcion, Concepcion, Chile.

出版信息

Int J Sports Med. 2024 Apr;45(4):257-266. doi: 10.1055/a-2158-3848. Epub 2023 Aug 22.

Abstract

Resistance training intensity is commonly quantified as the load lifted relative to an individual's maximal dynamic strength. This approach, known as percent-based training, necessitates evaluating the one-repetition maximum (1RM) for the core exercises incorporated in a resistance training program. However, a major limitation of rigid percent-based training lies in the demanding nature of directly testing the 1RM from technical, physical, and psychological perspectives. A potential solution that has gained popularity in the last two decades to facilitate the implementation of percent-based training involves the estimation of the 1RM by recording the lifting velocity against submaximal loads. This review examines the three main methods for prescribing relative loads (%1RM) based on lifting velocity monitoring: (i) velocity zones, (ii) generalized load-velocity relationships, and (iii) individualized load-velocity relationships. The article concludes by discussing a number of factors that should be considered for simplifying the testing procedures while maintaining the accuracy of individualized L-V relationships to predict the 1RM and establish the resultant individualized %1RM-velocity relationship: (i) exercise selection, (ii) type of velocity variable, (iii) regression model, (iv) number of loads, (v) location of experimental points on the load-velocity relationship, (vi) minimal velocity threshold, (vii) provision of velocity feedback, and (viii) velocity monitoring device.

摘要

抗阻训练强度通常通过相对个体最大动态力量的负荷来量化。这种方法称为百分比训练,需要评估抗阻训练计划中核心练习的 1 次重复最大强度(1RM)。然而,刚性百分比训练的一个主要局限性在于从技术、生理和心理角度直接测试 1RM 的苛刻性质。在过去二十年中,一种流行的解决方案是通过记录亚最大负荷下的提升速度来估计 1RM,以促进百分比训练的实施。本综述检查了基于提升速度监测的三种主要相对负荷(%1RM)的处方方法:(i)速度区,(ii)广义负荷-速度关系,和(iii)个体化负荷-速度关系。文章最后讨论了一些因素,这些因素应在简化测试程序的同时考虑,以保持个体化 L-V 关系的准确性,以预测 1RM 并建立相应的个体化%1RM-速度关系:(i)运动选择,(ii)速度变量类型,(iii)回归模型,(iv)负荷数量,(v)负荷-速度关系上实验点的位置,(vi)最小速度阈值,(vii)提供速度反馈,和(viii)速度监测设备。

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