高和低碳水化合物饮食和禁食状态修改了替代性最大累积氧气缺陷
Matheus Simionato Firmino1, Matheus S Norberto2, Germano Marcolino Putti1
1School of Physical Education and Sports of Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
估计最大累积氧气不足 (MAODalt) 的替代方法有效地检测出因碳水化合物可用性变化的能源系统变化. 营养状况显著影响运动表现和能量系统贡献,需要在测试前考虑.
科学领域:
- 运动生理学 运动生理学
- 运动营养 运动营养
- 代谢适应的过程
背景情况:
- 在运动期间评估能源系统贡献对于理解性能至关重要.
- 最大累积氧缺 (MAOD) 是一种常见的方法,但其替代估计 (MAODalt) 的有效性需要进一步研究.
- 众所周知,营养状况,特别是基质的可用性,会影响能量代谢和运动能力.
研究的目的:
- 评估MAODalt在不同基质可用性条件下检测能源系统贡献的变化方面的有效性.
- 研究不同碳水化合物摄入量对运动表现和潜在的代谢反应的影响.
- 确定MAODalt是否是一种可靠的工具,用于评估不同营养状态下的能源系统动态.
主要方法:
- 26名休跑者接受了分级运动测试,以确定最大氧气吸收强度 (iVO2max).
- 在基线,禁食后,以及肌肉糖原耗尽后,进行了时间到疲劳 (TTE) 测试.
- 在最终的TTE之前,参与者消耗了高 (H-CHO),中等 (M-CHO) 或零 (Z-CHO) 的碳水化合物饮食/饮料,MAODalt用于评估能源系统贡献.
主要成果:
- 高碳水化合物可用性 (H-CHO) 增加了相对无氧能力,主要是通过乳酸贡献,但降低了有氧贡献和性能.
- 中度 (M-CHO) 和零碳水化合物 (Z-CHO) 条件通过增加的酸盐贡献保持了无氧能力,Z-CHO显示了比基线更高的酸盐贡献.
- 禁食导致相对乳糖贡献增加,有氧贡献减少,影响表现.
结论:
- MAODalt是一种有效的方法,用于检测不同营养状态的能量系统贡献的变化.
- 营养状况在剧烈运动期间显著影响有氧和无氧能量系统之间的相互作用.
- 在进行MAODalt评估之前,必须考虑参与者的营养状况,以确保准确地解释结果.
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