An investigation of the relationship between long bone measurements and stature: Implications for estimating skeletal stature in subadults.

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL
Elaine Y Chu, Kyra E Stull
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引用次数: 0

Abstract

The present study introduces new regression formulae that address several challenges of current subadult stature estimation methods by 1) using a large, contemporary, cross-sectional sample of subadult skeletal remains; 2) generating regression models using both lengths and breadths; 3) utilizing both linear and nonlinear regression models to accommodate the nonlinear shape of long bone growth; and 4) providing usable prediction intervals for estimating stature. Eighteen long bone measurements, stature, and age were collected from computed tomography images for a sample of individuals (n = 990) between birth and 20 years from the United States. The bivariate relationship between long bone measurements and stature was modeled using linear and nonlinear methods on an 80% training sample and evaluated on a 20% testing sample. Equations were generated using pooled-sex samples. Goodness of fit was evaluated using Kolmogorov-Smirnov tests and mean absolute deviation (MAD). Accuracy and precision were quantified using percent testing accuracy and Bland-Altman plots. In total, 38 stature estimation equations were created and evaluated, all achieving testing accuracies greater than 90%. Nonlinear models generated better fits compared to linear counterparts and generally produced smaller MAD (3.65 - 15.90cm). Length models generally performed better than breadth models, and a mixture of linear and nonlinear methods resulted in highest testing accuracies. Model performance was not biased by sex, age, or measurement type. A freely available, online graphical user interface is provided for immediate use of the models by practitioners in forensic anthropology and will be expanded to include bioarchaeological contexts in the future.

长骨测量与身材关系的研究:对估计亚成年人骨骼身材的影响。
本研究引入了新的回归公式,通过以下方法解决了当前亚成年人身材估计方法所面临的几个挑战:1)使用大量当代亚成年人骨骼横断面样本;2)使用长度和宽度生成回归模型;3)使用线性和非线性回归模型来适应长骨生长的非线性形状;以及 4)为估计身材提供可用的预测区间。我们从计算机断层扫描图像中收集了美国出生至 20 岁个体(n = 990)的 18 项长骨测量数据、身材和年龄。使用线性和非线性方法在 80% 的训练样本上建立了长骨测量和身材之间的二元关系模型,并在 20% 的测试样本上进行了评估。方程是使用集合性别样本生成的。拟合度使用 Kolmogorov-Smirnov 检验和平均绝对偏差 (MAD) 进行评估。准确度和精确度使用测试准确率百分比和布兰-阿尔特曼图进行量化。总共创建并评估了 38 个身材估计方程,所有方程的测试准确率均超过 90%。与线性模型相比,非线性模型的拟合效果更好,产生的 MAD 一般较小(3.65 - 15.90 厘米)。长度模型的表现通常优于宽度模型,线性和非线性方法混合使用的测试精度最高。模型性能不受性别、年龄或测量类型的影响。免费提供的在线图形用户界面可供法医人类学从业人员直接使用这些模型,未来还将扩展到生物考古学领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.50%
发文量
165
审稿时长
1 months
期刊介绍: The International Journal of Legal Medicine aims to improve the scientific resources used in the elucidation of crime and related forensic applications at a high level of evidential proof. The journal offers review articles tracing development in specific areas, with up-to-date analysis; original articles discussing significant recent research results; case reports describing interesting and exceptional examples; population data; letters to the editors; and technical notes, which appear in a section originally created for rapid publication of data in the dynamic field of DNA analysis.
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