Moore Megan K, DiGangi Elizabeth A, Niño Ruíz Francis Paola, Hidalgo Davila Oscar Joaquín, Sanabria Medina César
Anthropology, Eastern Michigan University, Ypsilanti, MI, 48197, USA.
Anthropology, Binghamton University, Binghamton, New York, USA.
Forensic Sci Int. 2016 May;262:286.e1-8. doi: 10.1016/j.forsciint.2016.02.018. Epub 2016 Mar 3.
This research explores the best univariate and multivariate indicators for sex estimation using 51 standard osteometric measurements of all six major postcranial long bones, bones of the shoulder girdle, pelvic girdle, and the calcaneus from a modern, Colombian skeletal collection. The hypotheses being tested are (1) that postcrania will yield accurate sex classification rates and (2) the shoulder girdle will demonstrate the highest discrimination, based on results from previous research. The sample consists of 134 individuals (50 females, 84 males) between the ages of 19 and 93 with a mean age of 47 years. The sample is from the Colombian Skeletal Collection, consisting of skeletons from cemeteries in Bogotá, with recent years of death. The methods include univariate and multivariate discriminant function analysis (DFA). The results for this sample indicate the same general pattern of univariate classification effectiveness as found in research on North Americans; however, here the humerus performs better than the distal femur and proximal tibia as demonstrated in some North American samples. The cross-validated percent correct univariate classification for the postcranial elements ranges from 64.8% to 86.1% (p<0.05). The highest univariate classification rates were for the scapular height (86.1%) and the humeral head diameter (86.0%). The highest multivariate classification rates are with the scapula (93.5%), os coxa (92.0%), clavicle (89.9%), humerus (89.1%), and ulna (89.1%). This study provides sectioning points to easily estimate sex using Colombian population-specific formulae. This research aids in forensic individuation, as the long bones of the postcranial elements are relatively resistant to taphonomic processes. Furthermore, the ability to achieve such a high degree of success from a single bone is preferable for the fast-paced forensic anthropology laboratories in Colombia that process hundreds to thousands of cases each year. This research plays an important role in the development of population standards in Colombia and South America and provides a robust method that can withstand courtroom scrutiny.
本研究利用来自现代哥伦比亚骨骼样本库中所有六大主要颅后长骨、肩带骨、骨盆带骨以及跟骨的51项标准骨测量数据,探索用于性别估计的最佳单变量和多变量指标。所检验的假设为:(1)颅后骨骼能得出准确的性别分类率;(2)基于先前研究结果,肩带骨将表现出最高的判别力。样本包括134名年龄在19岁至93岁之间、平均年龄为47岁的个体(50名女性,84名男性)。样本来自哥伦比亚骨骼样本库,由波哥大墓地近年来死亡者的骨骼组成。方法包括单变量和多变量判别函数分析(DFA)。该样本的结果表明,单变量分类有效性的总体模式与北美研究中的情况相同;然而,在此样本中,肱骨的表现优于一些北美样本中的股骨远端和胫骨近端。颅后骨骼元素的交叉验证单变量分类正确百分比范围为64.8%至86.1%(p<0.05)。单变量分类率最高的是肩胛骨高度(86.1%)和肱骨头直径(86.0%)。多变量分类率最高的是肩胛骨(93.5%)、髋骨(92.0%)、锁骨(89.9%)、肱骨(89.1%)和尺骨(89.1%)。本研究提供了分界点,以便使用特定于哥伦比亚人群的公式轻松估计性别。这项研究有助于法医个体识别,因为颅后骨骼元素的长骨相对抗尸体变化过程。此外,对于每年处理数百至数千个案件的哥伦比亚快节奏法医人类学实验室来说,能够从一块单一骨骼取得如此高的成功率是更可取的。本研究在哥伦比亚和南美洲的人群标准制定中发挥了重要作用,并提供了一种能经受法庭审查的可靠方法。