基于所有年龄段的成年人生物电阻分析的最大一次重复预测模型的开发和验证
Kio Fukushima1,2, Keita Sue3,4, Kazuaki Oyake3
1Department of Health Sciences, Graduate School of Medicine, Science and Technology, Shinshu University, Japan.
Journal of physical therapy science
|February 17, 2026
概括
研究人员开发了模型,以通过生物电阻分析测量骨肌肉质量来预测一次重复的最大 (强度). 骨肌肉质量指数模型在预测成人腿部压力时显示出更高的准确性.
科学领域:
- 运动生理学 运动生理学
- 生物医学工程 生物医学工程
- 人类表现的人类表现.
背景情况:
- 评估最大强度,例如一次重复最大 (1RM),对于训练和绩效评估至关重要.
- 生物电阻分析 (BIA) 提供了一种非侵入性方法来估计身体组成,包括骨肌肉质量.
- 基于人体组成的1RM预测模型可以帮助在不同人群中评估力量.
研究的目的:
- 开发和内部验证模型,用于预测腿部压力练习中的一次重复最大 (1RM).
- 为了利用从生物电阻分析 (BIA) 获得的骨肌肉质量 (SMM) 和骨肌肉质量指数 (SMI) 来进行1RM预测.
- 评估这些模型在广泛的年龄范围和两性成年人中的预测准确性.
主要方法:
- 82名成年人 (40名男性,42名女性;年龄在20-84岁之间) 参加了这项研究.
- 骨肌肉质量和骨肌肉质量指数使用多频生物电阻分析进行测量.
- 测量了单边腿部压力1RM,并使用引导重新抽样开发和验证了结合年龄和性别的多重线性回归模型.
主要成果:
- 使用骨肌肉质量 (SMM) 的模型实现了0.701的调整R平方 (SEE=16.01公斤).
- 结合骨肌肉质量指数 (SMI) 的模型表现出卓越的准确性,调整后的R平方为0.737 (SEE=15.0公斤).
- 内部验证显示过拟合最小,乐观度调整后的R平方值为0.677 (SMM) 和0.715 (SMI).
结论:
- 开发的模型提供了一个合理的预测单边腿部压力1RM在广泛的年龄范围的成年人.
- 基于骨肌肉质量指数的模型提供了更高的预测准确性,与仅使用骨肌肉质量模型相比.
- 虽然有用,但预测误差大小在实际应用这些模型时需要谨慎.
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