一个多维的方法,通过声明式战术知识和功能性适应性,在青少年排球中识别人才
Francesco Sgrò1,2, Antonella Quinto1,2, Mario Lipoma1,2
1KG4SPA-Kore Research Group for Sport and Physical Fitness Assessment, 94100 Enna, Italy.
Journal of functional morphology and kinesiology
|February 23, 2024
概括
功能运动能力 (FMC) 和肌肉骨健康 (MSF) 最好预测年轻女排球员的天赋. 将FMC,MSF和声明战术知识 (DTK) 结合起来,可以解释63%的性能差异.
科学领域:
- 运动科学 运动科学 运动科学
- 人才识别 人才识别
- 排球表现分析 排球表现分析
背景情况:
- 识别有才华的年轻运动员对于长期的体育成功至关重要.
- 多维性绩效评估越来越被认为对人才识别至关重要.
研究的目的:
- 为了确定哪些多维性能指数最好地预测女排青少年球员的天赋识别.
- 评估肌肉骨健康 (MSF),功能运动能力 (FMC) 和宣言战术知识 (DTK) 在人才识别中的预测能力.
主要方法:
- 55名女排球员根据身体特征被分组.
- MSF,FMC和DTK被衡量为绩效指数.
- 使用回归分析来评估不同绩效指数解释的差异.
主要成果:
- 功能性运动能力 (FMC) 组件解释了比肌肉骨健康 (MSF) 组件 (R2 = 0.45) 更大的差异 (R2 = 0.53).
- 投和捕获测试 (OR = 1.58) 和到站立和移动测试 (OR = 0.02) 是重要的FMC预测指标.
- 综合MSF,FMC和声明战术知识 (DTK) 的模型解释了63%的差异 (R2 = 0.63).
结论:
- 为了在青少年排球中有效地识别和监测人才,需要采用全面的多维方法.
- 功能性运动能力和肌肉骨健康,以及声明性战术知识,是年轻排球运动员潜力的关键指标.
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