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个性化负载-速度关系的预测有效性用于预测1RM:系统性审查和个人参与者数据元分析
Leon Greig1, Rodrigo R Aspe2, Andy Hall2
1School of Health Sciences, Robert Gordon University, Garthdee Road, Aberdeen, AB10 7QG, UK. l.greig4@rgu.ac.uk.
Sports medicine (Auckland, N.Z.)
|July 26, 2023
概括
负载速度关系经常高估一次重复最大值 (1RM),但可以追踪训练趋势. 在可行的情况下,建议直接进行1RM测试,但基于速度的方法为监测进展提供高频估计.
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:
- 负载速度关系越来越多地用于估计一次重复最大值 (1RM).
- 这些方法提供高频评估,并有助于调整培训负载.
- 已经开发和研究了各种负载速度方法.
研究的目的:
- 系统地审查和量化1RM预测的个性化负载速度关系的预测有效性.
- 分析不同负载速度建模方法的准确性.
主要方法:
- 一个系统的审查和个人参与者数据 (IPD) 的研究比较测量和预测1RM使用负载速度关系的研究的元分析.
- 在多个数据库中搜索已发表和未发表的研究,并使用PROBAST评估偏见风险.
- 采用两阶段和一阶段的元分析与调节者分析来评估预测有效性和异质性的来源.
主要成果:
- 包括来自26项研究的137个模型;20项研究 (434名参与者) 提供了用于元分析的数据.
- 发现了适度的预测有效性 (SEE% 9.8%),基于负载数量或数据类型 (个人与组) 的小差异.
- 一个阶段的分析表明过高估值的趋势 (1RM的3.7%).
结论:
- 负载速度关系倾向于高估1RMs,无论模拟方法如何.
- 当可能时,直接的1RM评估是最好的;然而,基于速度的方法对于监测训练趋势是有用的.
- 实践者应该选择最适合他们的实际需求的负载速度建模方法.
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