耐力运动员的血红蛋白质量可以准确预测
Przemysław Kasiak1, Tomasz Kowalski2, Raphaël Faiss3
13rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, Warsaw, Poland.
Journal of sports sciences
|January 17, 2025
概括
耐力运动员的血红蛋白质量 (Hb质量) 的预测方程是使用易于获得的测量方法开发的. 这些模型为监测运动员状态和表现提供了实用的见解,但应该补充,而不是取代直接的Hb质量测试.
科学领域:
- 运动医学 运动医学
- 运动生理学 运动生理学
- 生物化学 生物化学
背景情况:
- 血红蛋白质量 (Hb质量) 监测对于评估运动员状态和优化表现至关重要.
- 预测Hb质量的可访问和实用的方法是必要的,以加强常规监测.
研究的目的:
- 在训练有素的耐力运动员 (EA) 中,开发总Hb质量 (tHb质量) 和无脂肪质量调整的Hb质量 (rHb质量) 的预测方程.
- 评估这些预测模型的准确性和有效性,使用易于获得的人类测量,生化和健身指数.
主要方法:
- 220名训练有素的EA被随机分为衍生 (2:1比) 和验证组.
- 使用多变量线性回归来创建tHb质量和rHb质量的预测方程.
- 模型按复杂性分层,包括各种生理和性能指标.
主要成果:
- 对于tHb质量的模型表现出高精度 (R2 = 0.870.92) 和优于rHb质量的模型 (R2 = 0.280.58).
- 内部验证显示,10个tHb质量方程中的9个准确地预测了值,具有最小的显著差异.
- 10个rHb质量方程中的8个也显示没有显著的预测差异,表明准确度中等至高.
结论:
- 开发的预测方程为训练有素的EA中估计Hb质量提供了一个实用的方法.
- 这些模型可以作为流行病学研究,反兴奋剂工作和人才识别的补充工具.
- 这些方程不应取代精英运动员Hb质量的直接测量.
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