Ramamoorthy Balakrishnan, Pai Mangala M, Prabhu Latha V, Muralimanju B V, Rai Rajalakshmi
Department of Anatomy, Kasturba Medical College, Mangalore, Manipal University, Karnataka 575001, India.
J Forensic Leg Med. 2016 Jan;37:8-14. doi: 10.1016/j.jflm.2015.10.001. Epub 2015 Oct 22.
The skeleton plays an important role in sex determination in forensic anthropology. The skull bone is considered as the second best after the pelvic bone in sex determination due to its better retention of morphological features. Different populations have varying skeletal characteristics, making population specific analysis for sex determination essential. Hence the objective of this investigation is to obtain the accuracy of sex determination using cranial parameters of adult skulls to the highest percentage in South Indian population and to provide a baseline data for sex determination in South India. Seventy adult preserved human skulls were taken and based on the morphological traits were classified into 43 male skulls and 27 female skulls. A total of 26 craniometric parameters were studied. The data were analyzed by using the SPSS discriminant function. The analysis of stepwise, multivariate, and univariate discriminant function gave an accuracy of 77.1%, 85.7%, and 72.9% respectively. Multivariate direct discriminant function analysis classified skull bones into male and female with highest levels of accuracy. Using stepwise discriminant function analysis, the most dimorphic variable to determine sex of the skull, was biauricular breadth followed by weight. Subjecting the best dimorphic variables to univariate discriminant analysis, high levels of accuracy of sexual dimorphism was obtained. Percentage classification of high accuracies were obtained in this study indicating high level of sexual dimorphism in the crania, setting specific discriminant equations for the gender determination in South Indian people.
在法医人类学中,骨骼在性别鉴定方面发挥着重要作用。由于颅骨形态特征保留得更好,在性别鉴定中,颅骨被认为是仅次于骨盆的第二佳骨骼。不同人群具有不同的骨骼特征,因此针对特定人群进行性别鉴定分析至关重要。因此,本研究的目的是利用成年颅骨的颅骨参数,在南印度人群中实现最高百分比的性别鉴定准确率,并为南印度的性别鉴定提供基线数据。选取了70个保存完好的成年人类颅骨,并根据形态特征分为43个男性颅骨和27个女性颅骨。共研究了26个颅骨测量参数。使用SPSS判别函数对数据进行分析。逐步判别函数分析、多变量判别函数分析和单变量判别函数分析的准确率分别为77.1%、85.7%和72.9%。多变量直接判别函数分析对颅骨进行性别分类的准确率最高。使用逐步判别函数分析,确定颅骨性别的最具二态性的变量是两耳间宽度,其次是重量。对最佳二态性变量进行单变量判别分析,获得了较高水平的性别二态性准确率。本研究获得了高准确率的百分比分类,表明颅骨中存在高度的性别二态性,为南印度人群的性别鉴定设定了特定的判别方程。