Sahni Daisy, Sharma Parul, Kaur Gagandeep, Aggarwal Anjali
Department of Anatomy, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
Leg Med (Tokyo). 2010 Jan;12(1):23-7. doi: 10.1016/j.legalmed.2009.10.002. Epub 2009 Dec 11.
Estimation of stature is one of the important component in identification of human remains in forensic anthropology. The present investigation attempts to estimate stature from seven facial measurements of 300 (173 males and 127 females) healthy subjects between the ages of 18-70years from Northwest India. Height of all the subjects was measured and facial measurements were taken. Data was subjected to statistical analysis like mean, standard deviation, multiplication factors, Karl Pearson's correlation coefficient (r), linear and multiple regression analyses using statistical package for social sciences (SPSS). The average height of the subjects was in the range of 154.3-178.3cm in males and 155.1-168.4cm in females. Estimated stature calculated by regression analysis of seven facial measurements was almost similar to mean actual stature in both males and females and the difference by using multiplication factors was found to be greater. Standard error of estimation (SEE) computed both by linear and multiple regression analyses was found to be low for the two sexes. Thus we can conclude that regression equations generated from facial measurements can be a supplementary approach for the estimation of stature when extremities are not available.
身高估计是法医人类学中人类遗骸鉴定的重要组成部分之一。本研究试图根据印度西北部300名（173名男性和127名女性）年龄在18至70岁之间的健康受试者的七项面部测量数据来估计身高。测量了所有受试者的身高并进行了面部测量。使用社会科学统计软件包（SPSS）对数据进行了统计分析，如均值、标准差、乘法因子、卡尔·皮尔逊相关系数（r）、线性回归和多元回归分析。受试者的平均身高男性在154.3 - 178.3厘米范围内，女性在155.1 - 168.4厘米范围内。通过对七项面部测量数据进行回归分析计算出的估计身高在男性和女性中几乎与实际平均身高相似，而使用乘法因子得出的差异更大。通过线性回归和多元回归分析计算出的两性估计标准误差（SEE）都较低。因此，我们可以得出结论，当无法获得四肢数据时，由面部测量生成的回归方程可以作为估计身高的一种补充方法。
