Resistance Training Intensity Prescription Methods Based on Lifting Velocity Monitoring.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-04-01 Epub Date: 2023-08-22 DOI:10.1055/a-2158-3848
Amador García Ramos
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引用次数: 0

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.

基于提升速度监测的阻力训练强度处方方法。
阻力训练强度通常被量化为相对于个人最大动态力量的负荷。这种方法被称为基于百分比的训练,需要评估阻力训练计划中核心练习的最大重复次数(1RM)。然而,基于百分比的严格训练的一个主要限制在于从技术、身体和心理角度直接测试1RM的要求很高。在过去二十年中,一种潜在的解决方案越来越受欢迎,以促进基于百分比的训练的实施,该解决方案涉及通过记录次最大载荷的提升速度来估计1RM。这篇综述考察了基于提升速度监测来规定相对载荷(%1RM)的三种主要方法:(i)速度区域,(ii)广义载荷-速度关系,和(iii)个性化载荷-速率关系。文章最后讨论了在保持个体化L-V关系的准确性的同时简化测试程序以预测1RM并建立由此产生的个体化%1RM速度关系应考虑的许多因素:(i)运动选择,(ii)速度变量的类型,(iii)回归模型,(iv)负荷数量,(v)负载-速度关系上的实验点的位置,(vi)最小速度阈值,(vii)速度反馈的提供,以及(viii)速度监测装置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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