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。     

数字X线摄影测量活体脊柱胸段推算身高

目的建立人脊柱胸段长度推算身高的方法。方法应用数字X线摄影技术（DR）摄制514例中国四川汉族人群的胸部DR片，测其脊柱胸段长度，同时准确测量被研究者身高，对测量获得的脊柱胸段长度与身高数据分组进行线性回归分析，建立胸段长度推算身高的回归方程。结果建立了混合组、男性组、女性组、20—45岁男性组、大于45岁男性组、20～45岁女性组和大于45岁女性组7个回归方程，经显著性检验，均有统计学意义（P〈0．01），复相关系数（R）范围0．834～0．624，回归系数（b）范围0．259～0．389，回归方程估计值的标准误在3．88～4．72cm范围内。结论利用人类脊柱胸段长度推算身高的方法在法医学个人识别中具有重要价值。     

西南地区汉族男性CT颅面径线与身高的关系

目的通过CT测量西南地区汉族男性颅面径线,建立该地区汉族男性颅面径线与身高的回归模型,为法医人类学研究积累数据。方法收集273例西南地区汉族男性头部CT资料,确定颅面部7条径线,运用图像后处理软件进行多平面重建和容积再现,对所选径线进行测量。对各测量指标与身高的相关性运用SPSS 21.0进行分析,建立推断身高的回归方程,并重新选取50例样本代入该数学模型进行检验。结果建立了7条径线的线性回归方程(P0.05);一元线性回归方程相关系数为0.190~0.439,标准估计误差(SEE)为4.597~5.023 cm;多元线性回归方程复相关系数为0.494~0.524,SEE为4.418~4.458 cm。回代检验得y=83.959+3.589 x_6+2.573 x_2,±1SEE准确率最高,为30%;y=72.646+3.316 x6+1.586 x_2+1.553 x_4+2.211 x_3,±2SEE准确率最高,为92%。结论本研究所选取的7条径线与身高均有明显的直线相关性,所建立的多元回归方程适用于推断西南地区汉族男性身高。     

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。     

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。     

回归法推断手印和足迹与身高和体重的关系

目的探讨身高、体重与足迹、手印长宽的关系。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10个一元线性回归方程,并对依据各个指标分别推算结果的可靠性进行比较研究。结论本研究建立的回归方程可用于山东地区部分人群的身高与体重推算;依据足迹较依据手印推算身高体重结果更可靠;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。     

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。     

身高推断的法医学研究进展CSCD

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。     

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。     

Prediction of stature based on radiographic measurements of cadaver long bones: a study of the Croatian population

We tested a new approach to the stature prediction that could be used in the identification process of human skeletal remains of unknown identity. The stature of 19 female and 21 male adult cadavers was measured within 24 h after death and considered to be equal to the living stature. The antero-posterior radiographs of all limbs were taken, and the maximum length of the six long bones was measured from radiographs. There was a significant difference in the stature and maximum length of long bones between female and male cadavers (p<0.001 for all). The correlation between the stature and long bone length was the best for the humerus in females (r=0.792) and the tibia in males (r=0.891). Regression equations specific to the Croatian population were computed separately for each long bone in males and females and proven to be reliable in predicting the living stature of the individual.     

放射影像学方法测量活体女性颈椎推算身高

目的测量颈椎高度建立四川汉族女性人群的身高推算方程，为法医学个人识别提供帮助。方法应用计算机X线摄影放射学方法，在209例四川汉族女性颈椎CR片上测量C3～C7椎体高度，并准确测量身高。按年龄是否大于45岁进行分组，对各颈椎的测量数据与身高进行线性回归分析，建立颈椎推算身高的回归方程。结果共建立一元回归方程36个，多元回归方程12个，所有回归方程经线性回归模型假设检验，均有统计学意义（P〈0．05）。所建立的回归方程的复相关系数（r）在0．628～0．280范围内，回归方程的标准误在4．03～5．03cm范围内。结论本研究所建立的回归方程，可用于四川汉族女性颈椎的身高推算。     

Stature estimation from foot dimensions

Identification of an individual is the mainstay in forensic investigations. The dimensions of the foot have been used for the determination of sex, age, and stature of an individual. The present study examines the relationship between stature and foot dimensions among Gujjars, a North Indian endogamous group. Stature, foot length and foot breadth of 200 subjects comprising 100 males and 100 females were measured. Statistical analyses indicated that the bilateral variation was insignificant for all the measurements except foot breadth in males (p<0.01). Sex differences were found to be highly significant for all the measurements (p<0.01). Linear and multiple regression equations for stature estimation were calculated using the aforementioned variables and multiplication factors were computed. The correlation coefficients between stature and foot dimensions were found to be positive and statistically highly significant. The highest correlation coefficient between stature and foot length in males and foot breadth in females indicates that the foot length provides the highest reliability and accuracy in estimating stature of an unknown male and foot breadth in a female. Prediction of stature was found to be most accurate by multiple regression analysis.     

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 and sex estimate using foot and shoe dimensions

The aim of the study was to develop a formula to estimate the stature and sex of an individual using foot and shoe dimensions. To this aim the stature, right and left shoe sizes, and maximum and minimum feet length and width measurements of a target group of 569 individuals were taken. The group was composed of 294 males and 275 females. The highest correlation coefficient was found in length measurements. A notable difference between males and females existed with regard to both right and left foot and shoe length and width averages and shoe sizes (p < 0.001). Among the group, a significant correlation was found in regard to stature and right shoe length (r = 0.591, p < 0.001), with the correlation between stature and right foot length and stature and right shoe length being 0.579 (p < 0.001); as for the female group, there was a significant correlation between stature and right foot length and stature and right shoe length (r = 0.460, p < 0.001). Thus the regression formula obtained are as follows: for the right side: sex = 69.169 + 0.173 (maximum foot length) - 0.368 (maximum foot width) - 0.820 (shoe length) + 0.224 (shoe width) - 1.280 (shoe number). For the left side: sex = 69.551 + 0.276 (maximum foot length) - 0.504 (maximum foot width) - 0.739 (shoe length) + 0.344 (shoe width) - 1.360 (shoe number). In application of the formula, if sex is lower than 0.50, the shoe belongs to a male, if higher, then to female. The formula which was obtained in regression analysis in order to estimate the stature when the measurements of shoe and foot were known. For the right side, stature = 47.93 + 1.083 (maximum foot length) + 0.788 (shoe length) 1.813 (shoe number) (SEE:31.410). For the left side: stature = 47.33 + 1.139 (maximum foot length) + 0.593 (shoe length) x 1.924 (shoe number) (SEE:31.607). It was understood that foot and shoe sizes are a criteria to estimate the stature of a person that there was a strong relationship between foot and shoe length and width and that these can be used to aid estimation. It was found that in sex estimate, foot and shoe lengths are better in helping the estimate than width measurements, and that the use of shoe measurements rather than bare foot measurements are better to obtain meaningful results.     

Is There a Correlation Between Footstep Length,Lower Extremities,and Stature?, ,

A probable correlation between stature and footstep length is expected, and consequently, the stature may be estimated from footstep length. The present research was conducted to study the correlation of footstep length with length of the lower extremities and stature. The study participants (n = 142) were asked to walk on a paper sheet with inked feet and footstep length was measured. Mean stature and lower limb length were significantly larger in males. Sex differences were not observed in the average footstep length. Average footstep length and lower limb length did not show a significant correlation among the participants. A statistically significant correlation was observed between average footstep length and stature only among females. Our observations suggest that the length of the lower limb may not be a major factor in determining the footstep length of a person and that the forensic utility of stature estimation from footstep length may be limited.