业余半马拉松运动员表现回归方程的初步探索:基于呼吸肌肉功能的视角
Houyuan Zhu1,2, Xiaowei Han2, Guoqing Miao2
1China Institute of Sport Science, Beijing, China.
Frontiers in physiology
|April 9, 2024
概括
身体特征和呼吸肌肉强度显著影响业余半马拉松跑步者的表现. 呼吸道肌肉训练可以提高耐力和提高比赛时间,以获得更好的训练和健康管理.
科学领域:
- 运动科学 运动科学 运动科学
- 运动生理学 运动生理学
- 生物机械分析 生物机械分析
背景情况:
- 业余跑步者经常寻求优化表现和有效管理训练.
- 了解身体特征和生理能力之间的相互作用是运动发展的关键.
研究的目的:
- 研究业余跑步者的身体属性,呼吸肌肉强度和半马拉松表现之间的关系.
- 开发一个初步的预测模型来估计跑步者的表现.
- 为培训和健康管理策略提供见解.
主要方法:
- 收集了233名业余半马拉松选手在2023年北京奥运会森林公园半马拉松比赛中的数据.
- 标准化测量身体特征 (年龄,性别,身高,体重) 和呼吸肌的能力 (最大呼气压,最大吸气压).
- 相关性和回归分析以确定半马拉松表现的重要预测因素.
主要成果:
- 在性别,身高,体重,最大呼气压,最大吸气压和半马拉松表现之间发现了显著的相关性.
- 使用性别,体重,最大呼气压和身高来预测表现的回归方程.
- 呼吸道肌肉训练被确定为延迟疲劳和提高表现的因素.
结论:
- 呼吸道肌肉容量是潜在的速度限制和马拉松运动员最佳表现的关键决定因素.
- 预测模型可以帮助业余跑步者优化训练并提高身体健康.
- 评估呼吸道肌肉力量对于个性化训练和伤害预防至关重要.
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