利用判别函数分析从加纳人群的股骨和尺骨经皮长度估计性别

IF 0.2 Q4 MEDICINE, LEGAL
Moses Banyeh, S. Bani, Rahul Pathak, Dennis Dogara Yakubu, Emmanuel Amankwaah, Lukeman Ahmed
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引用次数: 0

摘要

性别估计模型是法医人类鉴定的重要组成部分,但它们通常是针对特定人群的。本研究旨在利用经皮股骨(FL)和尺骨(UL)长度开发和测试加纳人群的性别估计模型。该研究于2020年6月至7月进行横断面研究,涉及99名成年人(男性52人,女性47人),年龄在19至31岁之间。使用标准人体测量技术测量股骨和尺骨的长度。所有的测量都是从左侧取两次,然后取平均值。样本随机分为训练样本(n = 60)和保留样本(n = 39),然后使用判别函数分析(DFA)进行分析。进行了跨种群研究以检验模型的可靠性。男性股骨和尺骨较女性长(p < 0.001)。所有模型的性别估计准确率为男性68.2%至81.8%,女性52.9%至86.7%。样本类型的标准化平均差(SMD: Cohen’s d)范围为- 0.19至3.08(活样本),0.19至4.73(尸体样本)和0.30至5.46(骨骼样本)。按人口类型划分的SMD分别为:非洲(不包括混血或白种人)(d= - 0.02 ~ 3.08)、亚洲(d= 0.83 ~ 4.85)和欧洲或美洲(d= 0.30 ~ 3.38)。当其他针对特定人群的模型在拒绝样本上进行测试时,平均性别估计准确率的差异在0到25.6%之间。基于股骨和尺骨长度的性别估计模型是特定于研究人群和所用样本类型的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sex estimation from the percutaneous lengths of the femur and the ulna in a Ghanaian population using discriminant function analysis
Abstract Sex estimation models form a vital part in Forensic human identification but they are usually population-specific. This study aimed to develop and test sex estimation models for a Ghanaian population using percutaneous lengths of the femur (FL) and ulna (UL). The study was cross-sectional from June to July 2020, involving 99 adults (male: 52, females: 47), aged between 19 and 31 years. The lengths of the femur and ulna were measured using standard anthropometric techniques. All measurements were taken twice from the left side and then averaged. The sample was randomly divided into training (n = 60) and holdout (n = 39) samples before been analysed using discriminant function analysis (DFA). Cross-population studies were performed to test the reliability of the models. Males had longer femur and ulna than females (p < 0.001). Sex estimation accuracies from all the models ranged from 68.2% to 81.8% for males and 52.9% to 86.7% for females. The standardized mean difference (SMD: Cohen’s d) by sample type ranged from −0.19 to 3.08 (living samples), 0.19 to 4.73 (cadaveric samples) and 0.30 to 5.46 (skeletal samples). The SMD by population type were: Africa, excluding Mixed or White ethnicities (d= −0.02 to 3.08), Asia (d = 0.83 to 4.85) and Europe or the Americas (d = 0.30 to 3.38). When other population-specific models were tested on the holdout sample, the difference in the average sex estimation accuracy ranged from 0 to 25.6%. Sex estimation models from the lengths of the femur and ulna are specific to a the studied population and the type of sample used.
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