尼日利亚拉各斯大学伊博和约鲁巴本科生颅面特征的两性异型及人体计量学比较

O. Iroanya, Mosidat Temilade Oyeyemi, T. Egwuatu
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引用次数: 1

摘要

法医人类学是人类学在法律上的实际应用,特别是在与法医身份和法医学有关的问题上。在法医学中,涉及体质人类学的方法在人类识别和性别估计方面具有很高的准确性。本研究旨在利用不同颅面变量确定伊博和约鲁巴年轻人的性别二态性。采用人体测量法测量了拉各斯大学300名本科生的颅面变量。所有颅面特征的平均值男性高于女性。伊博族学生的平均身高、体重、形态面高(MFH)、形态面宽(MFB)、个体间差(ID)、鼻长(LN)、左眼宽(LEW)、外颈比(EX-EX)和鼻下比(SN-GN)均显著高于约鲁巴族学生(p≤0.05)。伊博族男性(94.5%)、伊博族女性(94.6%)、约鲁巴族女性(93.92%)的平均瘦脸指数为瘦脸型,约鲁巴族男性(97.52%)为超瘦脸型。伊博族女性的平均鼻指数(leptorrhine)显著低于伊博族男性和约鲁巴族男性和女性(mesorrhine) (p≤0.05)。性别与身高、体重、MFH、MFB、ID、CH-CH、LEW、EX-EX、SN-GN在0.01水平上呈显著性差异(双尾)。本研究表明,身高、体重、MFH、MFB、ID、CH-CH、LEW、EX-EX和SN-GN可用于预测性别。
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Sexual Dimorphism and Anthropometric Comparison of Craniofacial Features of Igbo and Yoruba Undergraduate Students of University of Lagos, Nigeria
Forensic anthropology is the practical application of anthropology to law, especially in questions related to medicolegal identity and forensic medicine. In forensics, methods involving physical anthropology present high rate of accuracy for human identification and gender estimation. This study aimed to ascertain sexual dimorphism using different craniofacial variables among Igbo and Yoruba young adults. Some craniofacial variables were measured in 300 undergraduates from University of Lagos using physical anthropometry. The mean values of all the craniofacial features studied were higher in males compared to females. Igbo students had significantly (p≤0.05) higher mean height, weight, morphological facial height (MFH), morphological facial breadth (MFB), intercanthal difference (ID), nose length (LN), left eye width (LEW), exocanthii to exocanthii (EX-EX) and subnasale to gnathion (SN-GN) values compared to Yoruba students. The mean prosopic index of the Igbo male (94.5%), Igbo females (94.6%) and Yoruba females (93.92%) showed leptoprosopic facial shape while the Yoruba males (97.52%) were hyperleptoprosopic. The mean nasal index of Igbo females (leptorrhine) was significantly (p ≤ 0.05) lower compared to Igbo males and the Yoruba males and females (mesorrhine). Sex was significant with height, weight, MFH, MFB, ID, CH-CH, LEW, EX-EX, SN-GN at the 0.01 level (2-tailed). This study shows that height, weight, MFH, MFB, ID, CH-CH, LEW, EX-EX and SN-GN can be used to predict sex.
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