Caruso J F, Ramey E, Hastings L P, Monda J K, Coday M A, McLagan J, Drummond J
Department of Exercise & Sport Sciences Program, University of Tulsa, 600 S. College Avenue, Tulsa, OK 74104, United States.
Int J Sports Med. 2009 Jul;30(7):522-5. doi: 10.1055/s-0029-1202335. Epub 2009 May 29.
To assess anthropometry as a predictor of high-speed performance, subjects performed four seated knee- and hip-extension workouts with their left leg on an inertial exercise trainer (Impulse Technologies, Newnan GA). Workouts, done exclusively in either the tonic or phasic contractile mode, entailed two one-minute sets separated by a 90-second rest period and yielded three performance variables: peak force, average force and work. Subjects provided the following anthropometric data: height, weight, body mass index, as well as total, upper and lower left leg lengths. Via multiple regression, anthropometry attempted to predict the variance per performance variable. Anthropometry explained a modest (R2=0.27-0.43) yet significant degree of variance from inertial exercise trainer workouts. Anthropometry was a better predictor of peak force variance from phasic workouts, while it accounted for a significant degree of average force and work variance solely from tonic workouts. Future research should identify variables that account for the unexplained variance from high-speed exercise performance.
为了评估人体测量学指标作为高速运动表现预测指标的作用，受试者在惯性运动训练器（Impulse Technologies，美国佐治亚州纽南市）上用左腿进行了四次坐姿伸膝和伸髋训练。训练仅在强直或相位收缩模式下进行，包括两组，每组一分钟，中间间隔90秒休息时间，并产生三个运动表现变量：峰值力、平均力和功。受试者提供了以下人体测量数据：身高、体重、体重指数，以及左下肢总长度、上半部分长度和下半部分长度。通过多元回归分析，人体测量学指标试图预测每个运动表现变量的方差。人体测量学指标解释了惯性运动训练中适度（R2 = 0.27 - 0.43）但显著的方差程度。人体测量学指标是相位训练中峰值力方差的更好预测指标，而它仅解释了强直训练中显著程度的平均力和功的方差。未来的研究应确定能够解释高速运动表现中未解释方差的变量。
