3个不同的集配置对动力学变量和内部负载在动力抓取会话期间的影响
Tsuyoshi Nagatani1, Kristina L Kendall1, Stuart N Guppy1
1School of Medical and Health Science, Centre for Human Performance, Edith Cowan University, Western Australia, Australia; and.
Journal of strength and conditioning research
|September 20, 2023
概括
集群集成配置在动力抢夺训练中可以保持峰值速度并减少与传统集成相比的内部负载. 上升的集群集可以提高功率输出,尽管当前负载可能无法完全优化集群训练的好处.
科学领域:
- 运动科学 运动科学 运动科学
- 强度和适应条件 强度和适应条件
- 生物力学 生物力学
背景情况:
- 了解最佳训练策略对于最大限度地提高运动表现至关重要.
- 强力抢夺训练需要特定的设置配置来增强动力变量和生理反应.
- 之前的研究已经探索了各种集合结构,但在权力抢夺中对传统,集群和上升集群协议的直接比较是有限的.
研究的目的:
- 调查三种不同的集合配置 - - 传统 (TRAD),集群 (CLU) 和上升集群 (A-CLU) - - 对动力变量和内部负载在动力抢夺会话中的影响.
- 为了比较这些协议在维护性能指标 (如峰值速度和峰值功率) 的有效性.
- 为了评估与每个集配置相关的生理应变.
主要方法:
- 十名经验丰富的力量力量运动员使用三个随机协议进行了权力抢夺:TRAD,CLU和A-CLU.
- 每个方案都涉及3组5次重复,一次重复的最大值为75%.
- 测量了运动变量 (峰值速度,峰值功率) 和内部负荷 (心率,血乳酸,感知劳力的速度).
主要成果:
- 与传统集 (TRAD) 相比,集群集 (CLU) 有助于保持峰值速度和峰值功率,同时减少内部负载.
- 传统集 (TRAD) 显示了峰值速度的显著下降.
- 上升集群集 (A-CLU) 导致峰值速度降低,但峰值功率在集中增加,内部负载低于TRAD.
- 在TRAD和CLU协议之间没有发现峰值速度或峰值功率的显著差异.
结论:
- 在本研究中使用的训练负载可能无法充分利用集群集对动力抢夺的好处.
- 上升集群 (A-CLU) 设置配置显示了在动力抢夺训练期间最大限度地提高运动员的功率输出潜力.
- 建议对多种负载进行进一步的研究,以优化集群集的协议,以开发电力.
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