Bedford M E, Russell K F, Lovejoy C O, Meindl R S, Simpson S W, Stuart-Macadam P L
School of Biomedical Sciences, Kent State University, Ohio 44242.
Am J Phys Anthropol. 1993 Jul;91(3):287-97. doi: 10.1002/ajpa.1330910304.
The multifactorial aging method has been shown to be a highly reliable method of skeletal aging because it incorporates age information from as many age indicators as are available for each skeleton (Lovejoy et al.; Am. J. Phys. Anthropol. 68:1-14, 1985). The present study was a blind test to assess its accuracy on a skeletal sample composed of 55 individuals with verified death certificates (Grant Collection, University of Toronto). Three authors (C.O.L., M.E.B., and K.F.R.), with no access to the death certificate ages, independently seriated and aged the sample using three to four criteria: auricular surface, pubic symphysis, and radiographs of the proximal femur and clavicle. Summary ages were then calculated for each individual in the sample. The authors' independent summary age estimates showed strong correlations with one another (r = 0.84-0.89). Multifactorial age estimates correlated better with real age than did those from any single indicator used. The mean error (averaging 8.7 years) for summary age was at least 1 year less than that for any single indicator. Average bias ranged from -0.7 (underage) to 1.4 (overage) years. These results indicate that utilization of several age indicators, weighted according to their reliability, helps control for variation in the changes that occur with age in any single morphological indicator. This method may therefore be considered one of the most accurate available for the determination of skeletal age-at-death, particularly for paleodemographic analysis.
多因素衰老法已被证明是一种高度可靠的骨骼衰老方法,因为它整合了每个骨骼尽可能多的年龄指标所包含的年龄信息(洛夫乔伊等人;《美国物理人类学杂志》68:1 - 14,1985年)。本研究是一项盲测,旨在评估其对由55名拥有经核实死亡证明的个体组成的骨骼样本(多伦多大学格兰特藏品)的准确性。三位作者(C.O.L.、M.E.B.和K.F.R.)在无法获取死亡证明年龄的情况下,使用三到四个标准:耳状面、耻骨联合以及股骨近端和锁骨的X光片,对样本进行独立排序和年龄判定。然后计算样本中每个个体的汇总年龄。作者们独立的汇总年龄估计值之间显示出很强的相关性(r = 0.84 - 0.89)。与使用任何单一指标得出的年龄估计相比,多因素年龄估计与实际年龄的相关性更好。汇总年龄的平均误差(平均为8.7岁)比任何单一指标至少少1岁。平均偏差范围从 -0.7(年龄低估)到1.4(年龄高估)岁。这些结果表明,根据可靠性对多个年龄指标进行加权利用,有助于控制任何单一形态学指标随年龄变化所产生的差异。因此,这种方法可被视为用于确定骨骼死亡年龄的最准确方法之一,尤其适用于古人口统计学分析。