用各种人体测量参数估计南印度人口的身高和性别

Swati Yadav, Vinod C. Nayak, V. Palimar, C. Gupta, Janvi Ram Chetal
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引用次数: 0

摘要

身高和性别的估算对于鉴定身份不明的人体遗骸、破案或大规模杀伤性案件具有十分重要的意义。身高可以用各种回归公式来估计,它因人口和地区而异。从各种人体测量参数预测印度南部人口的身高和性别。该研究包括100名年龄在20-80岁之间的成年人(活着的个体)。研究共测量了22项人体测量参数。利用回归公式,估算了海拔高度。对各参数进行了统计分析。对各参数与身高、性别进行相关系数检验。根据相关系数结果发现,对身高的估计,雌性的腿长最好,大腿长次之,耳长最差。在雄性中,前臂长度(FL)最好,鼻宽(NW)最差。在性别身高、体重、足长宽、手长宽、臂长宽、肩峰间距离、颅高宽、脸长宽、NW、鼻高、EL等方面均有显著性差异。本研究结果将为法医人类学家估计身高和性别提供参考。本研究中获得的回归方程是特定于种群的,它们可以用于估计南印度种群的身高。
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An Estimation of Stature and Sex using Various Anthropometric Parameters in South Indian Population
Estimation of stature and sex is very important to identify the unidentified human remains to solve the crime or in the case of mass destruction. The stature can be estimated using various regression formulas and it differs depending on the population and the regions. To predict stature and sex from various anthropometric parameters in south Indian population. One hundred adults (living individuals) belonging to the age group of 20–80 years were included in the study. A total of 22 anthropometric parameters were measured for the study. Using the regression formula, the stature is been estimated. Statistical analysis of all the parameters was done. Correlation coefficient test was done to correlate all the parameters with stature and sex. Based on the coefficient correlation result, it was found that for stature estimation leg length followed by thigh length is the best and ear length (EL) is the worst in females. In males for stature estimation, forearm length (FL) is the best and nose width (NW) is the worst. In estimating sex height, weight, foot length and width, hand length and width, arm and FL, inter-acromial distance, cranial height and width, face length and width, NW and nasal height and EL were found to be significant. Results of this study will be useful for forensic anthropologist for estimating stature and sex. The regression equations obtained in this study are population specific and they can be used for estimating stature in the south Indian population.
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
6
审稿时长
39 weeks
期刊最新文献
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