负载-速度关系的适用性,以预测在高水平冲刺者中半坐时的1重复最大值
Rasmus B Kjær1,2, Jon H Herskind1,3, Mathias V Kristiansen4
1Department of Public Health, Exercise Biology, Aarhus University, Aarhus,Denmark.
概括
基于速度的方法为精英短跑者提供了一次重复最大 (1RM) 的粗略估计. 然而,这些估计的变化限制了它们用于精确的个人负载处方的使用.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 强度和适应条件 强度和适应条件
背景情况:
- 准确评估最大力量,例如一次重复最大 (1RM),对于优化精英运动员的训练计划至关重要.
- 负载-速度关系为估计1RM提供了一个潜在的间接方法,特别是在直接测试可能不切实际或疲劳的群体中.
研究的目的:
- 调查使用负载-速度关系间接估计1RM在精英短跑者之间的自由重量半坐练习的有效性.
- 使用平均和峰值同心速度,比较不同预测模型 (多点和2点方法) 的准确性.
主要方法:
- 精英短跑者 (n=11) 在各种负载下 (40%-90% 1RM) 进行半坐练习,以收集负载和速度数据.
- 使用基于平均和峰值同心速度的多点和2点回归模型估计了一次重复最大 (1RM).
- 在休息和疲劳状态下,使用类内相关系数,变量系数,布兰德-阿尔特曼图形和标准测量误差 (SEM) 评估了标准的有效性.
主要成果:
- 所有测试的基于速度的方法都提供了与实际1RM没有显著差异的估计值.
- 与两点方法 (ICC .76.95;SEM 9.8%26.1%) 相比,多点方法显示出更高的可靠性 (ICC .91.97) 与较低的SEM (5.4%10.6%).
- 布兰德-阿尔特曼分析表明,1RM估计的平均随机偏差为1.06至13.79公斤.
结论:
- 基于速度的估计可以在不同的生理条件下 (休息和疲劳) 在精英短跑者中提供1RM的一般指示.
- 尽管存在合理的相关性,但当前方法的固有变化和偏差限制了它们在力量训练中准确,个性化的负载处方的应用.
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