Department of Anthropology, Binghamton University (SUNY), PO Box 6000, Binghamton, NY 13902-6000, USA.
Forensic Sci Int. 2010 Oct 10;202(1-3):111.e1-7. doi: 10.1016/j.forsciint.2010.07.019. Epub 2010 Aug 8.
The correct assessment of sex from the human skeleton is of fundamental importance in forensic medicine and bioarchaeology. In South Africa, unidentified remains are often fragmentary, making it necessary to estimate sex from a variety of skeletal elements. The purpose of the present study was to evaluate the sex discriminating potential of the sternum in black South Africans using standard osteometric techniques. A sample of 123 males and 83 females drawn from the Raymond A. Dart Collection of Human Skeletons and the Pretoria Bone Collection was used. The results demonstrated that all eight sternal variables, including both dimensions and indices, were highly sexually dimorphic in this population. A stepwise discriminant function procedure, which selected corpus sterni length and manubrium width, correctly identified 86.4% of the individuals in the study sample. Additional multivariate discriminant equations incorporating dimensions for either the manubrium or corpus sterni yielded sex prediction rates of 80.6% and 84.5%, respectively. Sternal area, when used in isolation, produced the highest sex classification accuracy with 86.9% of specimens correctly assigned. The remaining single variable functions, which can be applied when well-preserved or complete sterna are not available for analysis, provided classification accuracies ranging from 68.4% to 83.5%. These classification results are comparable to those reported in previous investigations concerning sex estimation of black South Africans for other postcranial elements.
从人类骨骼正确评估性别在法医学和生物考古学中至关重要。在南非,未识别的遗骸通常是零碎的,因此需要从各种骨骼元素来估计性别。本研究的目的是使用标准的骨骼测量技术评估南非黑人胸骨的性别判别能力。从 Raymond A. Dart 人类骨骼收藏和比勒陀利亚骨骼收藏中抽取了 123 名男性和 83 名女性的样本。结果表明,在该人群中,所有 8 个胸骨变量,包括尺寸和指数,都具有高度的性别二态性。逐步判别函数程序选择胸骨体长度和胸骨柄宽度,正确识别了研究样本中 86.4%的个体。包含胸骨柄或胸骨体尺寸的其他多元判别方程分别产生了 80.6%和 84.5%的性别预测率。当单独使用时,胸骨面积产生了最高的性别分类准确性,86.9%的标本被正确分配。其余的单变量函数可以在无法分析保存完好或完整胸骨时使用,其分类准确性范围为 68.4%至 83.5%。这些分类结果与之前针对其他颅后骨骼元素对南非黑人进行性别估计的研究中报告的结果相当。