Stature Estimation from Foot Length Using Universal Regression Formula in a North Indian Population

Abstract:  Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.     

Evaluation of Stature Estimation from the Database for Forensic Anthropology*†

Abstract: Trotter and Gleser’s ( 1 - 3 ) stature equations, conventionally used to estimate stature, are not appropriate to use in the modern forensic context. In this study, stature is assessed with a modern (birth years after 1944) American sample (N = 242) derived from the National Institute of Justice Database for Forensic Anthropology in the United States and the Forensic Anthropology Databank. New stature formulae have been calculated using forensic stature (FSTAT) and a combined dataset of forensic, cadaver, and measured statures referred to as Any Stature (ASTAT). The new FSTAT‐based equations had an improved accuracy in Blacks with little improvement over Ousley’s ( 4 ) equations for Whites. ASTAT‐based equations performed equal to those of FSTAT equations and may be more appropriate, because they reflect both the variation in reported statures and in cadaver statures. It is essential to use not only equations based on forensic statures, but also equations based on modern samples.     

Estimation of Living Stature from Selected Anthropometric (Soft Tissue) Measurements: Applications for Forensic Anthropology

Abstract:  Estimation of living stature has obvious utility in the identification process. Typically, anthropologists estimate stature from the measurement of long bone length. This type of analysis is traditionally conducted on skeletonized or badly decomposed remains, so collection of the necessary bone measurements is relatively simple. As the role of anthropologists expands into medical examiner offices and mass fatality incidents, the analysis of fleshed bodies and body parts is a more common scenario. For stature estimation in these types of cases (e.g., analysis of body portions recovered from an aircraft crash site or from intentional dismemberment), the presence of soft tissue on the human remains would usually necessitate dissection to expose skeletal elements to derive metric data for stature estimation. In order to circumvent this step, this paper provides various formulae that allow for standard anthropometric (i.e., soft tissue) measurements to be used in place of skeletal measurements. Data were compiled from several anthropometric studies (National Health and Nutrition Examination Survey [NHANES] and U.S. Army Anthropometric Survey [ANSUR]) and numerous regression models are presented. Results are compared between skeletal measurements and the anthropometric measurements from each study. It was found that the ANSUR models are similar to the skeletal models, while the NHANES models exhibit weaker correlation coefficients and higher standard errors. Overall, this study finds that stature estimates derived from anthropometric data provide good results and remove the necessity for dissection when working with fleshed body portions.     

Stature Estimation from Hand Dimensions in a Han Population of Southern China*

Abstract: To analyze the relationship between stature and hand dimensions for forensic applications, the stature and hand dimensions of 400 healthy adults aged between 20 and 25 years were measured in a Han population of Southern China. The mean values of the stature are 170.49 and 159.72 cm in the men and the women, respectively. The statistically significant differences between the right‐ and the left‐hand dimensions were not observed in the men, whereas the bilateral differences are statistically significant in female hand dimensions. The correlation coefficients were found to be statistically significant for the hand dimensions in both the sexes. The hand length showed higher correlation coefficients than the hand breadth in both sexes. Linear and multiple regressions were developed in this study; multiple regressions showed higher correlation coefficients than linear regressions. Two regression models could be used to estimate the stature from the hand dimensions in this population.     

Body Height Estimation from Head and Face Dimensions: A Different Method*

Abstract: As there are cases brought for forensic examination where only the craniofacial region is available, estimation of stature from craniofacial dimensions is without doubt important in forensic cases. The study presented here attempts to estimate stature from craniofacial dimensions in the Turkish population. In the second phase of the study, the correlations between craniofacial dimensions and stature were also evaluated according to different head and face types. All measurements were taken from 286 healthy males with a mean age of 22.71 ± 4.86 years. The sample was then reclassified according to different head and face indexes. For the whole sample, correlation coefficients were low, changing only between 0.012 and 0.229. Thus, no significant increase in correlation coefficients was observed after the samples had been reevaluated according to different head and face types. As a conclusion, craniofacial dimensions are not good predictors for body height for the Turkish population.     

Testing Anatomical Methods for Stature Estimation on Individuals from the W. M. Bass Donated Skeletal Collection

Abstract:  This study compared eight versions of the anatomical method for stature estimation on a white male sample ( n  = 34) from the W. M. Bass Donated Skeletal Collection. The aim was to evaluate errors in the estimates and to discuss how useful the methods are in forensic context. The average error estimating living stature was less than 1 cm for six of the methods. The correlations between the estimates were high ( r  = 0.982–0.999). In practice, differences between the versions as well as those between long bone-based equations and anatomical methods were small. Anatomical method is nevertheless more accurate than long bone regressions when individuals with atypical body proportions are examined.     

Age-related factors in the relationship between foot measurements and living stature and body weight

The measurements of feet and footprints are especially important in forensic identification, as they have been used to predict the body height and weight of victims or suspects. It can be observed that the subjects of forensic-oriented studies are generally young adults. That is to say, researchers rarely take into consideration the body's proportional changes with age. Hence, the aim of this study is to generate equations which take age and sex into consideration, when stature and body weight are estimated from foot and footprints dimensions. With this aim in mind, we measured the stature, body weight, foot length and breadth, heel breadth, footprint length and breadth, and footprint heel breadth of 516 volunteers (253 males and 263 females) aged between 17.6 and 82.9 years using standard measurement techniques. The sample population was divided randomly into two groups. Group 1, the study group, consisted of 80% of the sample (n = 406); the remaining 20% were assigned to the cross-validation group or Group 2 (n = 110). In the first stage of the study, we produced equations for estimating stature and weight using a stepwise regression technique. Then, their reliability was tested on Group 2 members. Statistical analyses showed that the ratios of foot dimensions to stature and body weight change considerably with age and sex. Consequently, the regression equations which include these variables yielded more reliable results. Our results indicated that age and sex should be taken into consideration when predicting human body height and weight for forensic purposes.     

Tibia and Fibula Stature Formulae for Modern Female Populations Based on Digital Radiographic Measurements

Abstract: This study demonstrates the feasibility of creating bone lengths and stature databases of significant size for modern living human populations from digital radiographic archives and medical records. Tibia and fibula lengths were taken from digital radiographic images of 250 women. The images, drawn from the University of California, Los Angeles Medical Center’s Radiology Department’s General Electric Picture Archiving and Communication System, were taken between 2003 and 2007. Stature measurements were obtained from medical records on 83 individuals, 50 of which were used to regress stature equations for the tibia and fibula. Bone lengths obtained from radiographic images are almost 3 cm longer than those obtained from skeletalized collections. The formulae produce ranges up to 10 cm lower than current formulae. Accuracy could be improved as methods are developed to correct for the small magnification produced by digital images.     

数字X线测量上肢长骨推算身高

目的应用数字X线测量上肢长骨,建立适合当代中国四川汉族人群长骨推算身高的回归方程。方法按纳入标准对365例四川汉族正常人进行身高测量及上肢的数字X线检查,测量上肢各长骨不同标志点之间的长度,用SPSS统计软件对各测量值与身高进行相关回归分析,并对回归方程进行回代检验。结果共建立27个一元回归方程以及3个多元回归方程,各方程都具有统计学意义。上肢长骨中,尺骨相关性大于桡骨,男性相关性大于女性,多元回归方程的准确性高于一元回归方程。结论放射学方法测量长骨推算身高是一项简单、实用的方法,更适合上肢尸块的个人识别,值得进一步研究。     

The Effect of Vertebral Numerical Variation on Anatomical Stature Estimates

Abstract: Most humans possess 24 presacral vertebrae composed of seven cervicals, 12 thoracics, and five lumbars. However, variation from this standard pattern exists. The purpose of this study was to test the effect of congenital vertebral numerical variation on anatomical stature estimates and to recommend appropriate procedures when such variation occurs. Our sample consists of 41 individuals with unusual vertebral count patterns and known cadaveric statures from the Smithsonian’s Terry Collection. Raxter et al. published a revised Fully anatomical technique in 2006 and we used this to estimate living stature. Based on our results, we recommend using the standard anatomical technique to reconstruct stature, regardless of vertebral pattern. However, when an individual possesses six sacral segments together with a normal number of presacral vertebrae, we recommend the addition of a slight correction factor of 1.3 cm or 0.8% of estimated stature.     

Stature estimation based on dimensions of the bony pelvis and proximal femur

Pelin et al. recently showed that sacral height measured on lateral magnetic resonance images can be used with moderate accuracy to reconstruct stature in males. In most forensic anthropological cases, however, sacral dimensions must be obtained from dry bones. In this study, the relationship between stature and sacral height, hip height, and femur head diameter measured on dry bone was evaluated for American Blacks and Whites of both sexes (n = 247). There are significant correlation between stature and these three dimensions, but the results suggest that none of the dimensions predict stature with the accuracy needed to be useful in forensic anthropological investigations.     

X线摄影测量活体胫腓骨长度推算身高

目的应用计算机X线摄影（computer radiography,CR）测量活体胫腓骨长度,建立适合当代中国北方汉族人群胫腓骨长度推算身高的数学模型。方法在422例（男性207例．女性215例）活体山东汉族成年人的胫腓骨正位CR片上测量5项长度指标,同时测量其身高。通过各项测量指标与身高的线性回归分析、线性回归模型假设检验的方差分析以及偏回归系数的t检验．建立运用胫腓骨长度推算身高的回归方程;并对所建立的方程进行身高预测值与真实值的配对t检验、残差分析等方程的预测与诊断。结果共建立有统计学意义的一元回归方程35个一所建立的回归方程的相关系数在0．909～0．823范围内．回归方程的估计值标准误在2．48～3．87cm范围结论应用CR放射学方法测量胫腓骨长度推算身高．可以为法医学个人识别身高推算提供帮助,建立的回归方程适用于中国北方汉族人群胫腓骨的身高推算。     

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.     

利用残缺赤足足迹推算身高

目的由于主客观条件的影响,犯罪现场中常见的足迹多为不完整的残缺足迹,如何能够有效地利用残缺足迹,对案件破获往往具有至关重要的作用。方法从残缺赤足足迹的反映形态出发,选择足迹中明显、稳定的特征点,确定特征量,通过数理统计分析,建立残缺赤足足迹推算身高的经验公式。结果在4个特征量中,跖前缘突点到跟后缘突点的距离与身高的相关性最好,跖内、外缘突点到跟后缘突点的距离与身高具有一定的相关性。结论根据现场残缺赤足足迹的反映情况,也可以近似推断嫌疑人的身高特点,为侦查提供方向。     

Estimation of stature from hand impression: a nonconventional approach

Stature is used for constructing a biological profile that assists with the identification of an individual. So far, little attention has been paid to the fact that stature can be estimated from hand impressions left at scene of crime. The present study based on practical observations adopted a new methodology of measuring hand length from the depressed area between hypothenar and thenar region on the proximal surface of the palm. Stature and bilateral hand impressions were obtained from 503 men of central India. Seventeen dimensions of hand were measured on the impression. Linear regression equations derived showed hand length followed by palm length are best estimates of stature. Testing the practical utility of the suggested method on latent prints of 137 subjects, a statistically insignificant result was obtained when known and estimated stature derived from latent prints was compared. The suggested approach points to a strong possibility of its usage in crime scene investigation, albeit the fact that validation studies in real-life scenarios are performed.     

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。     

The Effects of Body Mass on Cremation Weight*

Abstract: Cremains have become increasingly frequent in forensic contexts, while higher body mass in the general population has simultaneously made cremation a more cost‐effective mortuary practice. This study analyzed the relationship between body mass and bone mass, as reflected through cremation weight. Antemortem data were recorded for samples used in the multi‐regional data set. Each was rendered through commercial crematoriums and reweighed postincineration. Pearson’s correlation demonstrates clear association between body mass and cremation weight (r = 0.56; p < 0.0001). However, multiple linear regression revealed sex and age variables also have a significant relationship (t = 7.198; t = ?2.5, respectively). Regressed in conjunction, body mass, sex, and age contribute approximately 67% of all variation observed in cremation weight (r = 0.668). Analysis of covariance indicates significant regional variation in body and cremation weight. Explanations include bone modification resulting from increased loading stress, as well as glucose intolerance and altered metabolic pathways related to obesity.     

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.     

Stature Estimation Formulae for Nigerians

Abstract:  In stature estimation, long limbs and the stature formula of Trotter and Gleser easily come to mind. In the recent past, a lot of workers have established formulae specific to their populations using whole length of limbs, fragmented bones, circumference of long bones, and even length of the vertebrae. We have in this work used tibia length, height of subjects, and the regression models to establish formulae specific to Nigerians. We measured height and tibia length of 200 (96 male and 104 female) adult Nigerians. The tibia length was measured from upper limit of the medial condoyle to the tip of medial malleolus using a measuring tape calibrated in meters while the height of individuals were also measured using meter scales. All measurements were made by one person, to avoid interobserver error, and repeatedly until a constant value is obtained. We obtained general formulae for males and females which compares favorably with that of Duyar and Pelin, and can be relied upon.