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速度变量:在不同相对负荷下确定背和长椅压力时的预测指标

Daniel J Lawson^1,2, Alex A Olmos^1,3, Samuel J Mosiman⁴

¹Department of Kinesiology, Applied Health and Recreation, Oklahoma State University, Stillwater, Oklahoma.

Journal of strength and conditioning research

|August 22, 2025

概括

这项研究发现,单次重复的平均同心速度 (ACVSingle) 最好预测背的重复失败,而最快的重复速度 (FRV) 最好用于长椅压力. 这些速度变量为抵抗训练预测提供了洞察力.

科学领域:

运动科学
生物力学
强度和健康状况

背景情况:

基于速度的训练对于监测阻力运动强度和疲劳至关重要.
准确预测重复到失败 (RTF) 对于优化训练负载和防止过度训练至关重要.
不同的速度指标可能在不同练习和强度上为RTF提供不同的预测准确性.

研究的目的:

确定在背部腰和长椅压力练习中预测RTF的最佳速度变量.
将单个重复的平均同心速度 (ACVSingle),第一个重复的ACV (ACVFirst),所有重复的ACV (ACVMean) 和最快的重复速度 (FRV) 的预测性能进行比较.
在相对负载的70%,80%和90%的一次重复最大值 (1RM) 中确定RTF的最佳预测模型.

主要方法:

26名经过抵抗训练的个体 (18名男性,8名女性) 在1RM的70%,80%和90%的失败下进行了背和长椅压力.
记录了包括ACVSingle,ACVFirst,ACVMean和FRV在内的速度变量.
用重复测量混合效应模型来评估预测准确性,使用剩余平均误差 (RME),标准偏差 (SD),Akaike信息标准 (AIC) 和贝叶斯信息标准 (BIC) 评估模型合适性.

主要成果:

在ACVSingle调整模型显示最适合预测背部坐的RTF (RME=0.0056).
在FRV交互模型中,表现出最适合于工作台压力 (RME = 0.0303).
在所有强度中,没有一个单一的速度变量是优越的;在特定条件下,ACVSingle和FRV显示出较低的预测误差变量.

结论:

预测RTF的最佳速度变量在背 (ACVSingle) 和长椅压力 (FRV) 之间有所不同.
训练强度和运动类型是选择最准确的基于速度的预测器的关键因素.
这些发现支持使用特定的速度指标来提高RTF预测的精度.

关键词:

运动员进行监控强力训练运动科学基于速度的训练

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