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肌肉力量可预测二级运动员的骨强度。

Muscle Power Predicts Bone Strength in Division II Athletes.

机构信息

Department of Kinesiology, California State University, East Bay, Hayward, California.

出版信息

J Strength Cond Res. 2020 Jun;34(6):1657-1665. doi: 10.1519/JSC.0000000000002222.

Abstract

Yingling, VR, Webb, SL, Inouye, C, O, J, and Sherwood, JJ. Muscle power predicts bone strength in Division II athletes. J Strength Cond Res 34(6): 1657-1665, 2020-The relationship between muscle fitness measures and tibial bone strength in collegiate level athletes was investigated. Eighty-six Division II collegiate athletes (mean ± SD: age: [18-29 years], height: 1.71 m [0.09], mass: 66.7 kg [10.5], 56 female: 30 male) participated in this cross-sectional study. Maximum grip strength (GS), 1 repetition maximum leg press, and vertical jump peak power (PP) tests were measured. Cortical area, cortical bone mineral density (cBMD), moment of inertia, and bone strength (polar strength-strain index) were measured using peripheral quantitative computed tomography at 50% tibia length. For each bone strength parameter, a hierarchical multiple regression analysis was performed to examine the contribution of sex and the 3 muscle fitness parameters (muscle power, relative 1 repetition leg extensor strength, and relative GS) to bone parameters. Vertical jump PP explained 54-59% of the variance in bone strength parameters, and relative leg extensor and GS were not predictive of bone strength parameters. Muscle power correlated with bone mass and architecture variables but not cBMD values. Cortical bone mineral density was also not predicted by relative leg extensor strength or relative GS. Muscular fitness assessment, specifically PP calculated from vertical jump height assessments, provides a simple, objective, valid, and reliable measure to identify and monitor bone strength in collegiate athletes.

摘要

应玲,虚拟现实,韦伯,SL,稻叶,C,O,J,和舍伍德,JJ。肌肉力量可预测二级运动员的骨强度。J 力量与调理研究 34(6):1657-1665,2020-研究了肌肉健康指标与大学生运动员胫骨骨强度之间的关系。86 名二级大学生运动员(平均值±标准差:年龄[18-29 岁],身高 1.71 米[0.09],体重 66.7 公斤[10.5],女性 56 名:男性 30 名)参加了这项横断面研究。最大握力(GS)、1 次最大腿部压力机和垂直跳跃峰值功率(PP)测试。使用外周定量计算机断层扫描在胫骨长度的 50%处测量皮质面积、皮质骨矿物质密度(cBMD)、惯性矩和骨强度(极强度应变指数)。对于每个骨强度参数,进行层次多元回归分析,以检查性别和 3 个肌肉健康参数(肌肉力量、相对 1 次腿部伸肌力量和相对 GS)对骨骼参数的贡献。垂直跳跃 PP 解释了 54-59%的骨强度参数的方差,而相对腿部伸肌和 GS 对骨强度参数没有预测作用。肌肉力量与骨量和结构变量相关,但与 cBMD 值无关。皮质骨矿物质密度也不能通过相对腿部伸肌强度或相对 GS 来预测。肌肉健康评估,特别是通过垂直跳跃高度评估计算出的 PP,为识别和监测大学生运动员的骨强度提供了一种简单、客观、有效和可靠的方法。

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