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