Optimal Minimum-Velocity Threshold to Predict One-repetition Maximum for the Back Squat.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-01 Epub Date: 2024-07-28 DOI:10.1055/a-2335-4143
Afonso Fitas, Miguel Gomes, Paulo Santos, André D Gonçalves, Pedro Pezarat-Correia, Goncalo V Mendonca
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Abstract

The prediction of one-repetition maximum (1RM) is highly relevant for strength and conditioning. The optimal minimum-velocity threshold (MVT) was recently proposed to increase the accuracy of 1RM predictions. Individual load-velocity profiles (LVP) were obtained in 18 athletes enrolled in recreational soccer. Reliability analyses were computed for all LVP-derived variables. Estimations of 1RM were made based on general (0.3 m.s- 1), pre-individual (mean velocity at 1RM obtained in a preliminary session) and optimal MVT (velocity that eliminates the difference between actual and predicted 1RM, determined in a preliminary session). The accuracy of 1RM predictions was examined using absolute-percent error and Bland-Altman plots. Between-day reliability of the LVP and 1RM was good (intraclass-correlation coefficients - ICCs>0.9 and coefficients of variation - CVs<5%). The individual and optimal MVT reached moderate-to-good reliability (ICCs>0.9 and CVs<10%, respectively). The predictions based on the optimal MVT displayed greater accuracy than those obtained with the individual and general MVT (absolute percent error: 2.8 vs. 5.5 vs. 4.9%, respectively). However, wide limits of agreement (LoA) were found between actual and estimated 1RM using this approach (~15 kg). Data indicate that the optimal MVT provides better estimations of 1RM for the free-weight back squat than the general and the individual MVT.

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预测后蹲单次重复最大速度的最佳最小速度阈值。
预测单次重复最大力量(1RM)与力量和体能训练密切相关。最近提出了最佳最小速度阈值(MVT),以提高 1RM 预测的准确性。我们从 18 名参加休闲足球的运动员身上获得了个人负荷-速度曲线(LVP)。计算了所有 LVP 衍生变量的可靠性分析。对 1RM 的估计基于一般(0.3 m.s-1)、前个体(在初步训练中获得的 1RM 时的平均速度)和最佳 MVT(消除实际和预测 1RM 之间差异的速度,在初步训练中确定)。使用绝对百分比误差和布兰德-阿尔特曼图对 1RM 预测的准确性进行了检验。LVP 和 1RM 的日间可靠性良好(类内相关系数 - ICCs>0.9 和变异系数 - CVs0.9 和 CVs
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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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