Estimation of Stature from Percutaneous Length of Ulna and Tibia in Medical Students of Nagaland

M. Lemtur, Chongtham Rajlakshmi, N. D. Devi
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引用次数: 4

Abstract

Background and Objectives: Stature estimation plays an important role in establishing individuality of an unidentified dead body or any mutilated part of the body by the medicolegal experts. A strong relationship exists between stature and dimensions of different body parts, particularly bone lengths. In this study, an attempt has been made to derive regression equation to estimate stature from percutaneous length of ulna and tibia among Naga population of Nagaland. Materials and Methods: The study was conducted at Regional Institute of Medical Sciences, Manipur on 100 healthy Medical Students from Nagaland (50 males and 50 females; aged 19-35 years). Stature, length of ulna and tibia on both sides were measured in standard position. Statistical analysis done using SPSS 21. Results: Mean ages of males and females were 23.22 ±3.93 years and 23.12 ±3.34 years, respectively which was not significant. Mean stature of males was 168.12±5.48 cms and females was 157±5.41 cms. Mean ulna and tibial length in males were significantly longer than that of females. A positive correlation between height and both the length of long bones was observed in both the sexes. Conclusion: Distinct sexual dimorphism observed in stature and length of ulna and tibia and also positive linear correlations observed between height and length of ulna and tibia. Linear regression models for stature estimation derived. Stature estimation should be population based as it is racial and gender dependent.
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那加兰邦医学生经皮尺骨和胫骨长度估算身高
背景与目的:身高估算在法医鉴定身份不明的尸体或残缺部位的个性鉴定中起着重要作用。不同身体部位的身高和尺寸之间存在着密切的关系,尤其是骨骼长度。在这项研究中,我们试图推导回归方程,以估计纳加兰邦那加族的尺骨和胫骨经皮长度。材料和方法:该研究是在曼尼普尔地区医学科学研究所对来自那加兰邦的100名健康医科学生(50名男性和50名女性;年龄19-35岁)。在标准体位测量身高、两侧尺骨、胫骨长度。使用SPSS 21进行统计分析。结果:男女平均年龄分别为23.22±3.93岁和23.12±3.34岁,差异无统计学意义。男性平均身高168.12±5.48 cm,女性平均身高157±5.41 cm。男性尺骨和胫骨的平均长度明显长于女性。在两性中都观察到身高和长骨长度之间的正相关关系。结论:尺骨和胫骨的身高和长度存在明显的性别二态性,尺骨和胫骨的身高和长度也存在正线性相关。推导了身高估计的线性回归模型。身高估计应该以人口为基础,因为它取决于种族和性别。
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