Department of Anatomy, Dokuz Eylul University, Izmir, Turkey.
Forensic Sci Int. 2008 Oct 25;181(1-3):54.e1-5. doi: 10.1016/j.forsciint.2008.08.003. Epub 2008 Sep 30.
In forensic investigation difficulties are being experienced in the stature and gender estimation of bodies dismembered in mass destruction. So as to eliminate these difficulties, new methods are being developed. The aim of this study is to develop formulae for estimation of the stature and gender through foot measurements when necessary. For this purpose, the length, width, malleol height, navicular height measurements of the right and left foot as well as stature have been taken from the 249 subjects who are attending Medical Faculty of Dokuz Eylul University and School of Physical Therapy and Rehabilitation in Turkey. In males, stature and foot measurements were higher than in females, and the difference between the average measures was significant. The highest correlation was observed in the right and left foot length for female, male and study (mix-gender group) groups when stature and foot measurement relations were evaluated. The lowest correlation was observed in foot width for the right foot in all groups but, differed in left foot measurements for each group. Formulae were obtained by using multiple regression analysis for stature estimation and logistic regression analysis for gender estimation. As a consequence, whilst stature estimation formulae, depending on the gender, allow 9-10 cm errors, those that are independent on the gender help make estimation with less than 4 cm errors. Gender estimation formula can help determine the gender with 95.6% accuracy via right foot measurements, and 96.4% accuracy via left foot measurements. In population similar to our subjects, stature and gender estimation can be made by using foot measurements.
在大规模破坏中解体的尸体的身高和性别估计在法医调查中遇到困难。为了消除这些困难,正在开发新的方法。本研究的目的是开发通过足部测量来估计身高和性别的公式,在必要时使用。为此,从土耳其的多乌泽尔大学医学院和物理治疗与康复学院的 249 名受试者中测量了右足和左足的长度、宽度、踝骨高度、舟骨高度以及身高。在男性中,身高和足部测量值高于女性,平均测量值之间的差异具有统计学意义。在评估身高和足部测量关系时,女性、男性和研究(混合性别组)组中左右足长度的相关性最高。在所有组中,右脚的足部宽度的相关性最低,但每个组的左脚测量值不同。通过多元回归分析获得了身高估计的公式,并通过逻辑回归分析获得了性别估计的公式。因此,虽然身高估计公式取决于性别,允许 9-10 厘米的误差,但不依赖于性别的公式可以帮助实现误差小于 4 厘米的估计。通过右脚测量,性别估计公式可以帮助确定 95.6%的准确性,通过左脚测量,准确性为 96.4%。在与我们的研究对象相似的人群中,可以通过足部测量来估计身高和性别。