身高推断的法医学研究进展

个体身高推断是法医人类学个体识别的重要内容之一,目前常借助直接测量或放射学技术收集一定群体的四肢长骨、不规则骨、体表解剖标志的数据建立回归方程来实现。由于人口流动性的增加、人类体质整体提高的影响以及种族和地区间的差异,身高推断的研究应成为常规性研究。本文对不同身高推断方法进行回顾性综述,简要阐述各方法的优缺点,并展望身高推断的研究方向。     

足在法医人类学身高推断中的应用

推断身高是法医学个体识别的重要研究内容。人体的各个部位长短均与身高呈一定的比例关系。利用上肢和下肢的长骨长度建立的回归方程,推断身高已经被证实是较准确可靠的,但由于长骨的脆弱性,当发现时可能是不完整的,而足有鞋的保护及自身组织的特殊性,足的完整性更有可能保存下来。本文对利用足部推断身高的指标与方法进行回顾,并展望了足部推断身高的研究方向。     

身高推断的法医人类学研究进展

身高属于个体识别的重要指标之一,历来是法医人类学研究的重点和热点。近几年国内外对于身高推断的研究又有新进展。笔者主要对近六年来国内外学术界发表的相关文献进行查阅,并精选具有代表性的文献进行综述,发现主要有以下新的研究进展和趋势:(1)随着人类平均身高的不断增长,原有身高推断方程有不断更新修正的需要;(2)性别、年龄、人种、地域等因素对身高推断影响大,设计实验研究方案时应考虑加入上述因素;(3)医学影像学技术,特别是CT技术成为近年来法医人类学身高推断研究的新方法。     

髂骨耳状面的人类学个体识别

本文综述了髂骨耳状面在人类学个体识别中的应用,髂骨耳状面对年龄、身高和性别的推断,具有简单、准确的特点,在人类学个体识别中具有重要意义。     

应用人体躯干段多参数推断成人身高

目的推动人体身高推断的再研究和人体躯干段体表解剖标志间距推断身高的创新应用。方法建立人体躯干段体表解剖标志间距参数采集规范,采集933例长三角地区成年人群数据,应用多元线性回归方法进行统计分析,建立推断身高的回归方程。结果建立了以性别(x_1)、颈臀线(x_2)、胸耻线(x_3)、肩髂间距(x_4)、肩宽(x_5)5个变量与身高(y)的多元线性回归方程y=105.406+5.414 x_1+0.436 x_2+0.286 x_3+0.225 x_4+0.193 x_5。结论该方法适合法医快速、简便且较准确地推断身高。     

根据人体胸耻线长和颈臀线长推断身高的研究

目的探讨胸耻线长和颈臀线长与身高的关系。方法随机抽查400例鄂西地区成年男女,测量每个人的胸耻线长和颈臀线长及身高,用SAS软件系统进行多元线性回归分析。结果建立了8项不同性别、不同年龄段推断身高的二元线性回归方程。18-40岁年龄段内人体胸耻线长和颈臀线长与身高的相关性好,根据人体胸耻线长和颈臀线长推断身高准确率高。41岁以上年龄段内人体胸耻线长和颈臀线长与身高的相关性稍差,其推断身高的回归方程慎用。结论该方法可用于推断成年人身高。     

中国汉族女性腰椎的身高推断

测量中国汉族女性腰椎,建立腰椎推断身高的方法。按人体骨骼测量方法,对第一至第五腰椎的10项指标进行测量,并将各腰椎的测量数据与身高进行相关分析,建立中国汉族女性腰椎推断身高的回归方程。获得的推断身高的5个回归方程,其相关系数(r)和标准差(s)分别为 r_1=0.751,s=45.0171;r_2=0.698,s=48.2804;r_3=0.758,s=43.3508;r_4=0.497,s=56.0890;r_5=0.606,s=53.3158。本研究建立的方法误差小,可以用于中国汉族女性腰椎的身高推断。     

基于SNP推测中国汉族人群身高的遗传学研究

目的选取已知与身高关联的31个SNP位点,在1220例中国汉族健康成年人群样本中验证其身高遗传关联性,并构建身高预测模型及评估该模型的推断能力。方法基于多元线性回归及logistic回归分析,在31个SNP位点中验证与中国汉族人群身高相关联的SNP位点;利用质控后的22个SNP位点,采用加权等位基因求和法(weight allele sums,WAS)针对不同身高分类方法建立推断模型。并通过受试者工作特征曲线(receiver operating characteristic, ROC)及曲线下面积(area under curve,AUC)分别计算推断准确性。结果 7个SNP位点与身高的关联得到验证,其中rs3823418、rs2166898、rs4821083及rs6030712来自东亚人群研究,rs11021504来自中国汉族人群研究,rs3816804、rs3751599在欧洲和中国汉族人群研究中均有报道。四川男性群体二元分类身高预测模型的AUC值为0.67(95%CI:0.55-0.79),稍高于Aulchenko等研究(AUC=0.65),但低于Liu等研究(AUC=0.75,95%CI:0.72-0.79)。结论本研究揭示了身高遗传位点具有人群差异性,筛选与某一群体身高遗传显著相关的SNP位点,结合适当的特征分类方法,有望构建出对该群体推断效果较好的身高模型。     

依据手足印推算身高体重的可行性研究

目的探讨身高、体重与足迹、手印长宽的关系,有助于利用犯罪现场的手印、足迹推断遗留人的身高与体重。方法通过足迹、手印的捺印和测量,大量地收集样本足迹、手印与身高、体重等数据,借助SPSS数理统计软件,进行一元线性回归分析。结果分别建立了由左右足迹、手印全长、掌宽推算身高与体重的十个一元线性回归方程,并对依据左、右侧指标分别推算结果的可靠性进行比较研究。结论可利用回归法由足迹、手印来推算身高、体重。在左右两侧足迹、手印都可利用的情况下,推断身高时应优先选用右侧;推断体重时应优先选用左侧。     

基于腰椎高度X线测量技术推断四川汉族女性身高

目的通过腰椎高度X线测量技术,建立四川汉族女性身高的数学模型,为法医人类学研究积累基础数据。方法收集206例四川汉族女性个体按年龄分为A、B、C 3组,其中A组(206例)不分年龄,B组(116例)为20~45岁,C组(90例)为45岁以上,并应用计算机X线摄影(computer radiography,CR)技术分别测量所有样本腰椎CR片中5个椎体(L1~L5)前缘、后缘、中央高度(x1~x15),脊柱腰段中央总长度(x16),同时测量每个个体真实身高,对各测量指标联合与身高的相关性进行线性回归分析,建立推断身高的数学模型,并重新选取62例样本代入数学模型,检验模型的准确性。结果所建立的数学模型经线性回归模型假设检验,均具有统计学意义(P0.05),回归方程的推断标准误为2.982~5.004cm,相关系数为0.370~0.779,复相关系数为0.533~0.834。对每组相关系数、复相关系数最高的方程进行回代检验,其中A组的y=100.33+1.489 x3-0.548 x6+0.772 x9+0.058 x12+0.645 x15的准确率最高,为80.6%(±1SE)、100%(±2SE)。结论本研究建立的数学模型适用于推断四川汉族女性身高。     

Stature and gender estimation using foot measurements

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.     

A Test of Three Methods for Estimating Stature from Immature Skeletal Remains Using Long Bone Lengths*

Abstract: In this study, the accuracy of three methods for stature estimation of children from long bone lengths was investigated. The sample utilized consists of nine identified immature skeletons (seven males and two females) of known cadaver length, aged between 1 and 14 years old. Results show that stature (cadaver length) is consistently underestimated by all three methods (from a minimum of 2.9 cm to a maximum of 19.3 cm). The femur/stature ratio provided the least accurate estimates of stature, and predictions were not significantly improved by the other two methods. Differences between true and estimated stature were also greatest when using the length of lower limb bones. Given that the study sample children grew in less than optimal environmental conditions, compared with the children that contributed to the development of the methods, they are stunted and have proportionally shorter legs. This suggests that stature estimation methods are not universally applicable and that environmental differences within a population (e.g., socioeconomic status differences) or differing levels of modernization and social and economic development between nations are an important source of variation in stature and body proportions of children. The fallibility of stature estimation methods, when they do not consider such variation, can be somewhat minimized if stature is estimated from the length of upper limb bones.     

Using tibia fragments from South Africans of European descent to estimate maximum tibia length and stature

Intact long limb bones have been used in the derivation of regression equations for stature assessment in different population groups. Since intact long bones are not always present for analyses in forensic cases, it has become necessary to derive regression equations for the estimation of stature from the fragments of these bones which are obtained in forensic and archaeological cases. Regression equations have been derived for stature estimation from fragments of the tibia. Since these equations are population specific, it was the aim of this study to derive similar equations for estimation of stature and maximum tibia length from measurements of different fragments of tibia of South Africans of European descent. Analyses were based on a sample of 50 male and 50 female complete skeletons of adult South Africans of European descent. Total skeletal height for the individual skeletons was measured using the Fully's (anatomical) method. Six variables were measured on the tibia which included the medial tibial condyle lengths and breadths, lateral tibial condyle lengths and breadths, proximal breadth and distal breadth. Univariate and multivariate regression equations were formulated for estimation of total skeletal height (and subsequent estimation of living stature) and maximum tibial length from measurements of the tibia. The standard errors of estimate for the equations were higher than those obtained for intact long bones which when present in forensic cases should be used for stature estimation. In the absence of intact long bones, the equations derived from the present study can provide a reliable estimate of skeletal height and living stature.     

Stature reconstruction using fragmentary femora in South Africans of European descent

It is well documented that the intact femur has the highest correlation with stature and as such has been widely used in the derivation of regression equations for stature estimation. As intact femur is not always present for analyses in forensic cases, it has become necessary to derive regression equations for the estimation of stature from fragments of this bone. Few studies have presented regression equations for stature estimation from fragments of the femur. Because these equations are population specific, it was the aim of this study to derive similar equations for estimation of stature and maximum length of femur from measurements of the femur of South Africans of European descent. A sample of 50 male and 50 female complete skeletons were obtained from the Raymond A. Dart Collection of Human Skeletons. Total skeletal height for each of the skeletons was calculated using the Fully's method. Six variables were measured on each femur which included the vertical neck diameter, upper breadth of femur, epicondylar breadth, bicondylar breadth, lateral condyle length, and medial condyle length. Regression equations for the estimation of stature are presented. The range of standard error of estimate for these equations (3.71-5.31) was slightly higher than those obtained for intact long bones (2.13-3.79). It is therefore suggested that in the absence of intact femur, regression equations derived from the present study can provide a reliable estimate of adult stature.     

Estimation of stature from static and dynamic footprints

The ability to estimate accurately from known parameters is a fundamental aspect of science and is evident as an emerging approach in the area of footprints and stature estimation within the field of forensic identification. There are numerous foot dimensions that have been measured in the literature to predict stature with varying degrees of confidence but few studies have tried to link the strength of estimation to anatomical landmarks. Such an approach is utilised in this study which estimates stature from the right footprints of sixty one adult male and female UK participants. Static and dynamic footprints were taken from each volunteer using the 'inkless paper system'. The prints were digitised and twelve length, width and angle measurements were chosen for the analysis. The highest correlations with stature were shown to be the heel to fourth toe print for the static group of footprints (r=0.786, p<0.01), and the heel to fifth toe print in the dynamic footprints (r=0.858, p<0.01). Collinearity statistics suggest the heel to fifth toe print length measurement is independent and not influenced by any other variables in the estimation of stature for the dynamic prints. Linear regression equations for this measurement presented the smallest standard error of estimate (SEE) and highest shared variance (R(2)) of all included variables (SEE 4.16, R(2) 0.74). Our study discusses a potential anatomical explanation as to why the lateral border of the foot and hence the impression it makes upon a hard surface, is a more stable indicator in the estimation of stature. The investigation recommends the use of Calc_A4 and Calc_A5 length measurements when estimating stature from footprint impressions.     

Stature estimation from tibia percutaneous length: New equations derived from a Mediterranean population

Stature is a fundamental anthropometric character to trace the biological profile of a person. In some cases, when dismembered or mutilated bodies are discovered in a forensic context, it is essential to estimate stature from single districts of the body. Nevertheless, to date and worldwide, there are only few population-specific studies on stature estimation from leg length and none of them concerns modern populations in southern Europe. We attempted to fill this gap, focusing on the estimation of stature from the length of the tibia in a Mediterranean population (Italians). We carried out the current study on a sample of 374 Italian university students of both sexes (age range: 19.9–34.4). Both, actual stature and percutaneous length of tibia were measured and new equations were developed for stature estimation. We tested separate regression equations for each sex, as well as an equation for remains, whose sex is unknown. To assess their reliability, the equations were tested on a holdout sample of 30 individuals from the same population. Moreover, results of new specific linear regression equations were compared to others from the literature. We demonstrated that the newly proposed formulae (for males and combined sexes) and the ones by Olivier (for females) provided the most reliable estimations of stature for southern Europeans.     

Estimation of stature from foot length and foot breadth among the Rajbanshi: an indigenous population of North Bengal

In forensic anthropology, estimation of stature from feet dimensions plays a significant role in establishing personal identity. There is a scarcity of literature on the estimation of stature from foot length and foot breadth among various Indian populations, including the indigenous populations found in the northern part of the state of West Bengal, India. The Rajbanshis and the Meches are two such indigenous populations. The present study is an attempt to understand the relationship between stature and feet dimensions among Rajbanshi male and female individuals of North Bengal, India. Measurements of stature, foot length and foot breadth were recorded from 350 adult Rajbanshi and 100 adult Meche individuals (age range: 18-50 years) residing in different villages located in the Darjeeling District of West Bengal. The Technical Error of Measurements was within the accepted limits. The results of the present study indicate that female Rajbanshi individuals exhibit shorter stature and smaller feet than their male counterparts. Using ANOVA, it is determined that there was significant differences (p<0.05) in stature, foot length and foot breadth between sexes. Using paired t-test, it is further observed that bilateral variation was significant (p<0.05) within sexes with respect to foot length, but not with foot breadth (p>0.05). Stature, foot length and foot breadth are positively and significantly correlated with each other (p<0.01). The higher correlation coefficient between stature and foot length over that of stature and foot breadth points to the fact that foot length, rather than foot breadth, is more accurate in estimating stature. Sexual dimorphism is more pronounced than bilateral differences among Rajbanshi individuals. Using linear regression, it is observed that stature was strongly dependent on foot length and foot breadth. Foot breadth is strongly dependent on foot length. Prediction of stature is more accurate by using step-wise multiple regression. Age does not have a significant effect on stature estimation. The equations obtained for the Rajbanshis were fitted on the Meches to check whether the same equations could be utilized for both these indigenous communities. The equations obtained for another Indian population from the literature were also fitted and tested on the Rajbanshi. It may be concluded that the present study has provided equations to estimate stature from the feet dimensions among the Rajbanshis. It would be unwise to use the same equations for stature estimation for different Indian populations.     

Stature estimation from fragmentary femora: a revision of the Steele method

The skeletal remains presented to forensic anthropologists are often fragmentary. Previously described methods of estimating stature from segments of long bones have not proved satisfactory because of the difficulty involved in identifying the precise anatomical landmarks by which they are defined. This study represents an assessment of the feasibility of stature estimation from fragmentary femora. A sample of 200 males and females, blacks and whites (total sample = 800), was obtained from the Terry Collection. New regression equations for the estimation of maximum femur length and stature from three well-defined and easy-to-measure segments of the femur are presented. This technique represents an improvement over methods currently in use for estimating stature from femur fragments; the location of the anatomical landmarks and the accuracy of the prediction are enhanced. The applicability of these formulae to a modern forensic sample is addressed with regard to secular trends in stature increase and changes in body segment proportions.