Wilson S R, Loesch D Z
Department of Statistics I.A.S., Australian National University, Canberra.
Ann Hum Biol. 1989 Jul-Aug;16(4):361-8. doi: 10.1080/03014468900000482.
Human body shape variables were obtained by adjusting 34 distances between trunk/limbs, and head/face, landmarks, for an overall appropriate body size measurement. The adjustment was based on regression analysis. Principal component analysis was applied to thus defined shape variables to obtain shape dimensions in 99 normal adult males and 103 females. The first principal component either for trunk/limbs shape variables, or for head/face variables (considered separately in the analyses) is similar in both sexes in that it represents relative proportions between trunk and limb lengths and widths, and between midfacial lengths and widths, respectively. However there are appreciable differences in the succeeding components. The problem of interpretation of body shape dimensions, especially those accounting for less than 20% of the sample variance, as well as difficulties in assessing the biological meaning of dependence structures determined by principal component analysis in humans, are discussed.
人体形状变量是通过调整躯干/四肢、头部/面部之间34个距离的地标点来获得的，以便进行整体合适的身体尺寸测量。这种调整基于回归分析。对如此定义的形状变量应用主成分分析，以获得99名正常成年男性和103名女性的形状维度。对于躯干/四肢形状变量或头部/面部变量（在分析中分别考虑），第一主成分在两性中相似，因为它分别代表躯干与四肢长度和宽度之间以及面部中部长度和宽度之间的相对比例。然而，后续成分存在明显差异。文中讨论了身体形状维度的解释问题，特别是那些占样本方差不到20%的维度，以及评估主成分分析在人类中确定的依赖结构的生物学意义的困难。
