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冲刺间隔训练和青少年自由泳表现之间的多变量动态关联分析
Xiaotong Chen1,2, Yankang Jiang1, Yupeng Shen3
1Sports Engineering Center, School of Sports Science, South China Normal University, Guangzhou, China.
BMC sports science, medicine & rehabilitation
|January 20, 2026
概括
复杂的网络建模揭示了训练变量如何动态影响游泳表现. 速度,血中乳酸和感知到的劳动力等关键因素在高强度间歇训练中变得更加重要.
科学领域:
- 运动科学 运动科学 运动科学
- 身体生理学 身体生理学
- 生物力学 生物力学
背景情况:
- 复杂的网络建模在分析体育运动中的动态训练适应方面未得到充分利用.
- 在高强度训练期间了解多变量关系对于性能优化至关重要.
研究的目的:
- 应用复杂的网络建模来分析动力学,代谢和感知变量之间的动态关联在单个游泳训练时.
- 研究6x50米冲刺间隔训练 (SSIT) 协议对100米自由式表现和潜在的生理反应的影响.
主要方法:
- 复杂网络分析用于检查中风率,中风长度,血液乳酸盐,感知劳动力 (RPE) 评级和游泳速度之间的动态关系.
- 在6x50米的SSIT协议中,从16名青少年游泳者收集了数据.
主要成果:
- 网络拓结构保持稳定,表明对性能提升的集体贡献 (密度从42.65%增加到49.17%,模块化从0.2增加到0.24).
- 游泳速度,血乳酸和RPE的节点中心性显著增加,突出了它们作为性能调解者的作用.
- 冲击率的影响下降,而冲击长度在整个训练过程中保持稳定.
结论:
- 复杂网络建模提供了一种新的方法来动态评估训练过程,并了解游泳者的适应机制.
- 该研究提供了关于无氧能力如何在高强度间歇训练中形成的见解,特定变量发挥动态作用.
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