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A comparison of techniques for estimating training-induced changes in muscle cross-sectional area.

机译:估计训练引起的肌肉横截面积变化的技术比较。

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The ability to accurately estimate changes in muscle cross-sectional area (CSA) could be a useful tool for strength and conditioning practitioners to assess the effectiveness of a resistance training program. The purpose of this study was twofold: (a) to compare the reliability of 2 separate anthropometric-based field estimations of thigh muscle CSA with that of a more accurate, sophisticated imaging technique (peripheral quantitative computed tomography [pQCT] scanner) and (b) to determine if the field methods would be sensitive enough to detect changes in CSA during a resistance training program. Twenty-five healthy, untrained men completed 8 weeks of resistance training. Cross-sectional area testing occurred twice before the start of training, for reliability and again every 2 weeks during the study. Testing consisted of a pQCT scan of the right thigh followed by circumference and skinfold measurements. Two separate equations (Moritani and deVries [M + D] and Housh multiple regression [HMR]) were used to estimate CSA from the anthropometric data. The M + D and HMR methods demonstrated intraclass correlations of 0.983 and 0.961, respectively, but both significantly underestimated thigh muscle CSA when compared to the pQCT. This error was consistent, however, and consequently, the field methods were able to demonstrate increases in muscle CSA with a pattern similar to those from the pQCT. Thus, these equations can be useful tools to evaluate an athlete's progress toward the goal of increasing muscle CSA. It is the authors' hope that the present study will increase awareness among practitioners of these useful field methods for estimating training-induced changes in muscle CSA.
机译:准确估计肌肉横截面积(CSA)变化的能力可能是一种有用的工具,可帮助力量和条件练习者评估阻力训练计划的有效性。这项研究的目的是双重的:(a)比较两种基于人体测量的大腿肌肉CSA的现场估计与更精确,复杂的成像技术(外围定量计算机断层扫描[pQCT]扫描仪)的可靠性,以及(b )以确定现场方法是否足够灵敏以检测抗性训练计划中CSA的变化。 25名未经训练的健康男性完成了8周的抵抗力训练。为了训练的可靠性,在训练开始前进行了两次横截面积测试,在研究过程中每两周进行一次。测试包括右大腿的pQCT扫描,然后进行周长和皮褶测量。使用两个单独的方程式(Moritani和deVries [M + D]和Housh多元回归[HMR])从人体测量数据估算CSA。 M + D和HMR方法的组内相关性分别为0.983和0.961,但与pQCT相比,两者均大大低估了大腿肌肉的CSA。但是,该误差是一致的,因此,现场方法能够以与pQCT相似的模式证明肌肉CSA的增加。因此,这些方程式可以用作评估运动员朝着增加肌肉CSA的目标前进的有用工具。作者希望本研究能够提高从业者对这些有用的现场方法的认识,这些方法可用于评估训练引起的肌肉CSA变化。

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