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主跑者长距离比赛表现的预测因素

Emma J Lee¹, Eric M Snyder¹, Christopher J Lundstrom¹

¹School of Kinesiology, University of Minnesota, Minneapolis, MN, United States of America.

Journal of human sport and exercise

|December 5, 2023

概括

主跑者的比赛表现是由峰值有氧功率 (V·O2峰值) 和训练量预测的. 增强这些因素,特别是VO2峰值和三年峰值每周训练距离,可以改善老年运动员的长距离跑步结果.

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
老年学是一门学科.

背景情况:

峰值有氧功率 (V·O2峰值) 和训练参数影响了大师运动员的长途跑步表现.
跑步经济 (RE) 是年轻跑步者的已知预测因素,但其在老年运动员中的作用尚不清楚.
度尺度的RE (alloV̇O2),能源成本 (EC) 和%V̇O2峰值提供了比单独的V̇O2更准确的RE测量.

研究的目的:

在准备长距离比赛 (10-26.2英里) 的大师跑者中识别温度转换VDOT的预测因子.
确定生理和训练变量与老年跑步者的比赛表现估计之间的关系.

主要方法:

23名跑步大师 (57±9岁) 接受了跑步机测试,在目标比赛的四周内测试马拉松强度-努力 (MIE) 和VO2峰值.
MIE是在预测最大心率的88%进行的,模拟马拉松强度.
前进渐进的多重线性回归分析了训练史调查数据和生理测量来预测VDOT.

主要成果:

转换VDOT显示了与三年峰值每周训练距离 (3YP) (r=0.454,p=.039),V̇O2峰值 (r=0.845,p=.000),alloV̇O2 (r=0.623,p=.005) 和EC (r=-0.528,p=.018) 的显著关联.
对于VDOT,最有效的预测模型包含了V̇O2峰和3YP (r=0.898).
这些发现凸显了生理能力和训练量联合的重要性.

结论:

生理因素 (V·O2峰值) 和训练变量 (3YP) 都是大师跑者的比赛表现的重要预测因素.
针对性训练干预,旨在提高V̇O2峰值和增加训练量,可能会提高这一群体的长距离跑步表现.
受这些关键预测因素影响的VDOT得分是评估和比较绩效的有价值指标.

关键词:

运行经济运行经济.培训培训培训培训培训 V.O2峰值已经到了.

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