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通过牙科方法进行年龄估计:拉门丁法与普林斯和乌贝拉克法的比较

Age estimation by a dental method: a comparison of Lamendin's and Prince & Ubelaker's technique.

作者信息

González-Colmenares Gretel, Botella-López Miguel C, Moreno-Rueda Gregorio, Fernández-Cardenete Juan R

机构信息

Laboratory of Anthropology, Medicine Faculty, University of Granada, Avenue of Madrid 11, PO Box 18012, Granada, Spain.

出版信息

J Forensic Sci. 2007 Sep;52(5):1156-60. doi: 10.1111/j.1556-4029.2007.00508.x. Epub 2007 Jul 21.

Abstract

Lamendin et al. (J Forensic Sci 1992;37:1373) developed a general technique to estimate age of adults at death using two dental features: periodontosis and translucency of the tooth root. Prince and Ubelaker (J Forensic Sci 2002;47:107) modified this method, creating a formula for each sex and for different ancestries, and obtained more precise age estimations. In the present study, the validity of each method was tested in 45 males and 34 females of Spanish Caucasian origin, and a novel formula, based on Prince and Ubelaker method, was specifically developed for a population of mixed racial origin (mestizo) from Colombia, and findings obtained were again compared with those yielded by Lamendin adult dental aging technique. The Prince and Ubelaker method proved more accurate than the Lamendin technique in the Spanish Caucasian population, and our Prince and Ubelaker-based formula was also more accurate than the Lamendin et al. In both populations, the Lamendin method showed a higher mean error in estimations of the age of youngest and oldest individuals. These findings confirm the need to create specific formulas for each human group in order to obtain more accurate age estimates.

摘要

拉门丁等人(《法医科学杂志》1992年;37:1373)开发了一种通用技术,利用牙周病和牙根透明度这两个牙齿特征来估计成年人的死亡年龄。普林斯和乌贝拉克(《法医科学杂志》2002年;47:107)对该方法进行了改进,为每种性别和不同种族创建了一个公式,并获得了更精确的年龄估计。在本研究中,对45名西班牙白种男性和34名西班牙白种女性测试了每种方法的有效性,并基于普林斯和乌贝拉克的方法专门为哥伦比亚的混血种族(梅斯蒂索人)群体开发了一个新公式,再次将获得的结果与拉门丁成人牙齿老化技术得出的结果进行比较。在西班牙白种人群体中,普林斯和乌贝拉克的方法比拉门丁技术更准确,我们基于普林斯和乌贝拉克的公式也比拉门丁等人的公式更准确。在这两个人群体中,拉门丁方法在估计最年轻和最年长者的年龄时平均误差更高。这些发现证实了需要为每个人类群体创建特定公式以获得更准确的年龄估计。

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