Asadujjaman Md, Hossain Md Golzer, Rana Md Sohel, Islam Md Zahidul
Department of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
School of Engineering & Information Technology, University of New South Wales, Canberra, Australia.
Egypt J Forensic Sci. 2021;11(1):1. doi: 10.1186/s41935-020-00215-1. Epub 2021 Jan 7.
The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent test. The Pearson's correlation coefficient () between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements.
The bilateral asymmetry was statistically not significant ( > 0.05) in right and left handprints. Sex difference significantly ( < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation () value presents between stature and the handprint measurements. The right 2 digit length in men ( = + 0.709, = 0.502, SEE = ± 44.141 mm) and the right handprint length in women ( = + 0.552, = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of (+ 0.777) and (0.603), and a lower value of (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population.
It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population.
当仅发现人体部分时,对身高的估计是法医调查的重要组成部分。本研究旨在利用统计学考量,通过对孟加拉人群不同手印测量来估计身高。200名无身体残疾的年轻孟加拉成年人(100名男性和100名女性)参与了本研究。使用标准人体测量方法测量身高和七项人体测量指标。采用独立t检验双侧不对称性。计算身高与不同手印测量值之间的皮尔逊相关系数(r)。因此,建立了简单和多元线性回归模型,以根据手印测量值估计身高。
左右手印的双侧不对称在统计学上无显著差异(P>0.05)。性别差异显著(P<0.05)影响身高与手印测量值之间的关系。身高与手印测量值之间呈现正且强的相关系数(r)值。男性右手第二指长度(r = +0.709,R² = 0.502,标准估计误差SEE = ±44.141mm)和女性右手印长度(r = +0.552,R² = 0.305,SEE = ±49.074mm)是身高最可靠的估计指标。然而,当将男女数据合并时,右手印长度被确定为身高最可靠的估计指标,其r值较高(+0.777),R²值为(0.603),SEE值较低(±55.520)。在孟加拉人群中,从手印测量估计身高时,多元回归方程显示出比线性回归方程更高的可靠性。
得出结论,通过手印测量估计身高是可行且可靠的。本研究结果从法医和法医学角度来看非常有用,可用于估计孟加拉人群的身高。