重复卧推运动中性能恢复的时间过程:建模方法。

IF 3 2区 医学 Q2 SPORT SCIENCES
Michail G Panagiotopoulos, Athanasios Tsoukos, Charilaos Tsolakis, Gerasimos Terzis, Gregory C Bogdanis
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引用次数: 0

摘要

摘要:Panagiotopoulos, MG, Tsoukos, A, Tsolakis, C, Terzis, G, and Bogdanis, GC。在重复的卧推练习中,性能恢复的时间过程:建模方法。[J]力量杂志,XX(X): 000-000, 2025-我们研究了在重复的卧推练习中,所选择的性能和生理参数对平均杠铃速度恢复的时间过程的影响。13名接受阻力训练的男性(25.0±6.3岁)参加了本研究。初步测量包括在Smith机器上进行负载-速度测试,包括台式压力机的强度(1次最大重复[1RM]; 95.0±17.4 kg),最大理论速度(Vo: 2.03±0.16 m·s-1)和最佳负载确定(56.3±1.4%的1RM)。此外,在最佳负荷(最大重复次数[MNR]斜率:-0.026±0.006 m·s-1·rep-1)的卧推试验中,计算杠铃速度下降率,以尽可能快的速度筋疲力尽。最大有氧能(104.6±18.1 W)、血乳酸阈值和心率恢复是通过增量手臂旋转试验来确定的。5次主要训练中的每一次都包括4组10秒的卧推,在最佳负荷下尽可能快地进行,每组之间的休息时间从30秒到5分钟不等,随机和平衡顺序。我们计算了每个休息间隔(30秒-5分钟)前两组的平均杠铃速度恢复百分比。平均杠铃速度的恢复采用功率曲线建模,以评估个人恢复速度。该分析表明,从第一组到第二组恢复95%性能所需的时间主要受MNRslope和Vo的影响(R2 = 0.68, p < 0.01)。当使用神经网络方法时,预测精度显著提高(R2 = 0.90-0.99)。总之,MNRslope和Vo可用于估计个人的恢复能力和确定爆发性卧推训练的最佳休息间隔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-Course of Performance Recovery During Repeated Sets of Bench Press Exercise: A Modeling Approach.

Abstract: Panagiotopoulos, MG, Tsoukos, A, Tsolakis, C, Terzis, G, and Bogdanis, GC. Time-course of performance recovery during repeated sets of bench press exercise: a modeling approach. J Strength Cond Res XX(X): 000-000, 2025-We examined the influence of selected performance and physiologic parameters on the time-course of mean barbell velocity recovery during repeated sets of bench press exercise. Thirteen resistance-trained men (25.0 ± 6.3 years) participated in this study. Preliminary measurements included bench press strength (1 repetition maximum [1RM]; 95.0 ± 17.4 kg), maximum theoretical velocity (Vo: 2.03 ± 0.16 m·s-1), and optimal load determination (56.3 ± 1.4% of 1RM), through a load-velocity test on a Smith machine. Also, the rate of barbell velocity decline was calculated during a bench press test to exhaustion performed as fast as possible against the optimal load (maximum number of repetitions [MNR]slope: -0.026 ± 0.006 m·s-1·rep-1). Maximum aerobic power (104.6 ± 18.1 W), blood lactate threshold, and heart rate recovery were determined using an incremental arm cranking test to exhaustion. Each of the 5 main sessions included four 10 seconds bench press sets performed as fast as possible against the optimal load, with rest intervals between sets ranging from 30 seconds to 5 minutes in a random and counterbalanced order. We calculated the percentage of mean barbell velocity recovery between the first 2 sets for each rest interval (30 seconds-5 minutes). The restoration of mean barbell velocity was modeled using a power curve to assess the individual recovery rate. This analysis showed that the time needed to regain 95% of performance from the first to the second set was mainly influenced by MNRslope and Vo (R2 = 0.68, p < 0.01). When a neural network approach was used, the accuracy of prediction improved significantly (R2 = 0.90-0.99). In summary, MNRslope and Vo may be used for estimating an individual's recovery ability and for determining optimal rest intervals in explosive bench press training.

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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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