人类测量,神经肌肉,生理和训练变量作为实验室骑自行车表现的决定因素
Fábio J Lanferdini1, Rafael L Kons2, Daniele Detanico3
1Laboratory of Biomechanics, Center of Sports, Federal University of Santa Maria, Santa Maria, Brazil - fabio.lanferdini@ufsm.br.
The Journal of sports medicine and physical fitness
|February 27, 2024
概括
骑自行车的性能预测因测试类型而异. 训练量和经验影响最大功率输出,而节奏是骑自行车运动员耗尽时间的关键.
科学领域:
- 运动生理学 运动生理学
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
背景情况:
- 预测骑自行车的表现对于训练优化至关重要.
- 人类测量,生理和神经肌肉因素是潜在的绩效指标.
- 训练特征显著影响耐力能力.
研究的目的:
- 在最大增量和耗尽时间测试中识别循环性能的预测因素.
- 调查人类,生理和神经肌肉因素的作用.
- 评估培训历史和训练量对绩效的影响.
主要方法:
- 评估了20名骑自行车的人,评估了人类学,膝盖伸缩肌肉激活/架构以及训练史/体积.
- 在增量测试期间测量了第二通风门 (VT2),最大氧气吸收 (VO2MAX) 和最大输出功率 (POMAX).
- 评估肌肉结构 (VL,RF) 并在POMAX进行时间到耗尽测试,包括肌肉激活 (VL,RF,VM).
主要成果:
- 骑自行车者的身高 (r2=0.37),经验和训练量 (r2=0.46) 预测了最大输出功率 (P<0.02).
- 节奏 (r2=0.30) 是时间到耗尽性能 (P<0.01) 的唯一预测因素.
结论:
- 培训特征和经验对于增量自行车性能至关重要.
- 节奏及其决定因素对于最大和耗尽的自行车条件至关重要.
- 不同的因素根据测试协议预测性能.
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