一种高效和准确的方法来估计自由重量背1重复的最大值,基于2点方法和最佳最小速度值
Zongwei Chen1,2, Fengping Xiao1, Yaxu Mao3
1School of Physical Education and Sports Science, South China Normal University, Guangzhou, China.
Journal of strength and conditioning research
|December 20, 2024
概括
最佳最小速度值 (MVT) 与2点方法相结合,提供了一种准确而有效的方法来估计自由重量背1次重复的最大值 (1RM). 这种方法将抵抗训练的个体在1RM预测中的错误最小化.
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:
- 估计一次重复的最大值 (1RM) 对于设计有效的抵抗训练计划至关重要.
- 基于速度的训练为1RM预测的传统方法提供了一个有希望的替代方案.
- 准确预测1RM在自由重量炼如背是性能监测和程序优化必不可少的.
研究的目的:
- 为了比较九种不同的1RM估计方法的准确性,使用在自由重量背 squat期间的速度记录.
- 在这个特定的练习中确定预测1RM的最有效和最准确的方法.
主要方法:
- 39名经过抵抗训练的雄性进行了背,负荷范围大约在1RM的40%到90%.
- 使用两个协议收集速度数据:多点测试 (6负载) 和2点测试 (2负载).
- 用三个负载-速度关系 (LVR) 回归模型 (多点,提取2点和2点) 来预测1RM,使用了三个最小速度值 (MVT) 实际,一般和最佳.
主要成果:
- 只有使用最佳MVT的1RM预测显示了可接受的准确性,与实际1RM相比,原始误差小于或等于0.8公斤,绝对误差小于或等于4.0%.
- 没有发现负载-速度关系 (LVR) 模型类型对预测准确性的显著主要影响.
- 结合两点方法和最佳的MVT被证明是最可靠的方法.
结论:
- 最优的最小速度值 (MVT) 对于在自由重量背中准确的1RM估计至关重要.
- 2点方法,当与最佳的MVT配对时,为预测1RM提供了一个高效和准确的策略.
- 这种经过验证的方法可以在实践中应用于强度和空调设置,用于精确的训练负载处方.
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