Ackland T R, Blanksby B A, Bloomfield J
Department of Human Movement and Recreation Studies, University of Western Australia, Nedlands.
J Biomech. 1988;21(4):319-27. doi: 10.1016/0021-9290(88)90261-8.
In response to the presently limited information on body segment inertial characteristics of children and adolescents this investigation estimated the mass, centre of mass and principal moments of inertia of adolescent male body segments. Significant prediction equations based on anthropometric measurements were then sought. Thirteen subjects were measured at 6-monthly intervals for 2.5 yr to provide inertial characteristics for the leg, thigh, lower trunk and upper trunk segments. These characteristics were derived using an elliptical zone modelling technique. Following a correlation analysis, significant prediction equations of segment inertial parameters were derived from five, or fewer, anthropometric measurements. For all cases, more than 84% of the variance in the dependent variable was accounted for with a maximum R2 value of 94% being recorded for the prediction of thigh segment mass. The use of these prediction equations offered accurate and convenient estimates of body segment inertial characteristics within the limitations applicable to all modelling approaches. In contrast to recent studies, these equations accommodated the current morphological status of the subject.
鉴于目前关于儿童和青少年身体节段惯性特征的信息有限，本研究估算了青少年男性身体节段的质量、质心和主惯性矩。随后寻求基于人体测量学的有效预测方程。对13名受试者每6个月测量一次，持续2.5年，以获取腿部、大腿、下躯干和上躯干节段的惯性特征。这些特征通过椭圆区域建模技术得出。经过相关性分析，从五项或更少的人体测量数据中得出了节段惯性参数的有效预测方程。在所有情况下，因变量中超过84%的方差可得到解释，预测大腿节段质量时记录的最大R²值为94%。在适用于所有建模方法的限制范围内，使用这些预测方程能够准确且方便地估算身体节段的惯性特征。与最近的研究不同，这些方程考虑了受试者当前的形态状况。
