Univariate sex dimorphism in the Nepalese dentition and the use of discriminant functions in gender assessment
Univariate sex dimorphism in the Nepalese dentition and the use of discriminant functions in gender assessment
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DOI：
10.1016/j.forsciint.2007.01.024
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发表时间：
2007-11-15
影响因子：
2.2
通讯作者：
Mainali, Sneedha
中科院分区：
文献类型：
--
作者：
Acharya, Ashith B.;Mainali, Sneedha
尼泊尔牙列的性别二态性描述使用单变量和判别分析。犬齿表现出最大的单变量性别二态性，其次是颊舌（BL）尺寸的上颌第一和第二磨牙。总体而言，上颌牙齿和BL尺寸表现出更大的单变量性别差异。然而，不到一半的测量变量（46.4%）显示性别之间的统计学显着差异，与其他人群相比，性别二型性的程度降低。此外，反向二型性-女性比男性表现出更大的牙齿-观察在近远中尺寸的下颌第二前磨牙。这反映了通过人类进化观察到的两性异形减少，以及现代男性和女性牙齿尺寸的重叠。这项研究的一个具体目的是开发判别函数，以促进性别分类。考虑到法医场景中牙齿和/或颌骨缺失的可能性，开发了一组功能。该功能允许中等至高的分类准确性性别（67.9%使用上颌后牙; 92.5%使用牙齿从两个颌骨）。与单变量结果相比，判别函数对性别二态性的表达具有上级性。这是由于判别分析利用了一个牙列内所有牙齿之间的相互关系-这些牙齿相关性在单变量分析中没有被利用，这导致了信息的丢失。据推断，大规模的统计学显着的单变量差异不是性别评估的先决条件。(C)2007爱思唯尔爱尔兰有限公司保留所有权利。
Sex dimorphism in the Nepalese dentition is described using univariate and discriminant analyses. Canines showed the greatest univariate sex dimorphism, followed by the buccolingual (BL) dimension of maxillary first and second molars. Overall, the maxillary teeth and BL dimensions showed greater univariate sex differences. However, less than half of the measured variables (46.4%) showed statistically significant differences between the sexes and the magnitude of sex dimorphism was reduced when compared to other populations. Moreover, reverse dimorphism - where females showed larger teeth than males - was observed in the mesiodistal dimension of mandibular second premolars. This reflects reduction in sexual dimorphism observed through human evolution and the consequent overlap of tooth dimensions in modem males and females. A specific purpose of the study was to develop discriminant functions to facilitate sex classification. A group of functions were developed considering the possibility of missing teeth and/or jaws in forensic scenarios. The functions permitted moderate to high classification accuracy in sexing (67.9% using maxillary posterior teeth; 92.5% using teeth from both jaws). The superior expression of sex dimorphism by means of discriminant functions is in contrast to the univariate results. This is due to discriminant analysis utilising the inter-relationship between all teeth within a dentition-these tooth correlations are not utilised in univariate analysis which results in a loss of information. It is inferred that large-scale statistically significant univariate differences are not a prerequisite for sex assessment. (C) 2007 Elsevier Ireland Ltd. All rights reserved.