An Efficient and Accurate Approach for Estimating the Free-Weight Back Squat 1-Repetition Maximum Based on the 2-Point Method and Optimal Minimal Velocity Threshold.

IF 2.5 2区 医学 Q2 SPORT SCIENCES
Zongwei Chen, Fengping Xiao, Yaxu Mao, Xiuli Zhang, Amador García-Ramos
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引用次数: 0

Abstract

Abstract: Chen, Z, Xiao, F, Mao, Y, Zhang, X, and García-Ramos, A. An efficient and accurate approach for estimating the free-weight back squat 1-repetition maximum based on the 2-point method and optimal minimal velocity threshold. J Strength Cond Res 39(4): e530-e537, 2025-This study aimed to compare the accuracy of nine 1-repetition maximum (1RM) estimation methods based on velocity recordings during the free-weight back squat. In a counterbalanced order, 39 resistance-trained male subjects performed 2 sessions against 6 loads (∼40, 50, 60, 70, 80, and 90% of 1RM) and 2 sessions against only 2 loads (∼40 and 90% of 1RM) followed by the actual 1RM attempts. The first session of each procedure was used for obtaining minimal velocity thresholds (MVTs) and the second session was used for 1RM estimation. Predicted 1RMs were calculated by entering 3 MVTs (i.e., actual MVT [i.e., the MVT associated with the actual 1RM], general MVT [i.e., 0.30 m·second -1 ], and optimal MVT [i.e., the MVT that minimizes the differences between the actual and predicted 1RMs]) into 3 load-velocity relationship (LVR) regression equations (multiple-point [i.e., using data of 6 loads from the multiple-point test], extracted 2-point [i.e., using data of the lightest and heaviest loads from the multiple-point test], and 2-point [i.e., using data of 2 loads from the 2-point test]). Alpha was set at 0.05. The main findings revealed that only the 1RMs predicted by the optimal MVT showed acceptable accuracy (raw errors ≤0.8 kg, absolute errors ≤4.0%) compared with the actual 1RM. The analysis of variance failed to reveal a significant main effect of the "type of LVR model" ( p = 0.079). Therefore, we recommend using the 2-point method combined with the optimal MVT to obtain an efficient and accurate 1RM estimation during the free-weight back squat.

基于两点法和最优最小速度阈值的自由重量后蹲1次重复最大值估算方法
[摘要]陈,Z,肖,F,毛,Y,张,X, García-Ramos, A.基于2点法和最优最小速度阈值的自由重量后蹲1次重复最大值估算方法。[J] Strength Cond Res XX(X): 000-000, 2024-本研究旨在比较9种基于自由重量后蹲速度记录的1次重复最大值(1RM)估计方法的准确性。在一个平衡的顺序中,39名阻力训练的男性受试者进行了2次训练,分别针对6种负荷(~ 40、50、60、70、80和90%的1RM)和2次训练,分别针对2种负荷(~ 40和90%的1RM),然后进行实际的1RM尝试。每个过程的第一次会话用于获得最小速度阈值(mvt),第二次会话用于1RM估计。预测1RM通过将3个MVT(即实际MVT[即与实际1RM相关的MVT],一般MVT[即0.30 m·s -1]和最优MVT[即使实际1RM与预测1RM之间的差异最小的MVT])输入3个载荷-速度关系(LVR)回归方程(多点[即使用来自多点试验的6个载荷的数据],提取2点[即使用来自多点试验的最轻载荷和最重载荷的数据])来计算。和2点[即,使用来自2点试验的2个载荷的数据])。Alpha值设为0.05。主要结果表明,与实际1RM相比,只有最优MVT预测的1RM具有可接受的精度(原始误差≤0.8 kg,绝对误差≤4.0%)。方差分析未发现“LVR模型类型”的显著主效应(p = 0.079)。因此,我们建议使用2点法与最优MVT相结合,以获得自由重量后蹲时有效准确的1RM估计。
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
CiteScore
6.70
自引率
9.40%
发文量
384
审稿时长
3 months
期刊介绍: The editorial mission of The Journal of Strength and Conditioning Research (JSCR) is to advance the knowledge about strength and conditioning through research. A unique aspect of this journal is that it includes recommendations for the practical use of research findings. While the journal name identifies strength and conditioning as separate entities, strength is considered a part of conditioning. This journal wishes to promote the publication of peer-reviewed manuscripts which add to our understanding of conditioning and sport through applied exercise science.
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