Estimation of sex from hand and handprint dimensions in a Western Australian population

A number of recent studies have demonstrated that sex can be estimated with a high degree of expected accuracy through the analysis of anthropometric measurements of the hand. Presently, however, the majority of previous related research has been focused on a limited range of global populations. The aim of the present study, therefore, is to evaluate the accuracy of using anthropometric hand measurements for the estimation of sex in a contemporary adult Western Australian population; we also assess if sex can be accurately estimated from the measurement of handprints. The study sample comprises a total of 91 male and 110 female individuals; documented mean age for the males is 38 years (range 19-68) and for the female sample it is 36 years (range 18-63). A total of six linear measurements are taken from each hand and its corresponding print. Measurement data is analysed using basic univariate statistics and a series of direct and stepwise discriminant function analyses are performed to assess the sex classification potential of the hand and handprint variables. All six hand and handprint measurements are sexually dimorphic and sex explains 28.4-61.7% of the sample variance. The breadth and length of the hand contribute most significantly to sex discrimination; cross-validated sex classification accuracies range between 82.6 and 96.5% with a sex bias of ≤5%. We conclude that anthropometric measurements of the hand and handprint can be used to classify sex with a high degree of expected accuracy in a Western Australian population.     

Stature Estimation from Postmortem CT Femoral Maximum Length in Contemporary Danish Population

Stature estimation methods for Danish adult population have generally relied on Trotter and Gleser’s and Boldsen’s regression equations that are based on the skeletal remains of recent war dead American Whites, Terry Skeletal Collection, and Danish archaeological medieval skeletal materials, respectively. These equations are probably not suitable for stature estimation in contemporary Danish forensic cases. Furthermore, because postmortem computed tomography (PMCT) is now routinely performed at Danish forensic departments, equations based on PMCT, rather than measurements of defleshed bones, are needed. The aim of this study was to develop new equations for adult stature estimation based on PMCT femoral measurement. Maximum femoral length was measured on the PMCT images of 78 individuals (41 males and 37 females) aged 23–45 years. The measurement accuracy was tested on dry bones, and all the measurements were included in the inter- and intra-observer analyses. Both analyses results demonstrated the reliability of the method and data. Comparison between the living stature of the individuals and the estimates based on the equations by Trotter and Gleser and Boldsen demonstrated the unreliability of the previous equations to some extent. New regression equations were then developed and validated on a different sample of 18 Danish forensic cases. Comparisons of all the equations indicated that both the sets of previous equations underestimated the stature in the new validation dataset. The new equations developed in this study provide a reliable alternative for stature estimation in modern Danish forensic cases.     

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.     

Determination of sex by discriminant function analysis and stature by regression analysis: a lateral cephalometric study

Determination of sex and estimation of stature from the skeleton is vital to medicolegal investigations. In the present study, an attempt is made to determine sex and estimate stature of an individual using data derived from lateral cephalogram in Central Indian population. Skull is composed of hard tissue and is the best preserved part of skeleton after death, hence, in many cases it is the only available part for forensic examination. Lateral cephalogram is ideal for the skull examination as it gives details of various anatomical points in a single radiograph, also it easily provides architectural and morphological details of skull superstructures and intra-cranial details for comparisons. A discriminant function derived from 10 cephalometric variables provided 99% reliability in sex determination. The formulae obtained from regression analysis using the maximum length of skull showed very high degree of reliability for estimation of stature in males as well as females.     

Estimation of stature from cephalo-facial anthropometry in north Indian population

Estimation of stature is considered as an important parameter in medico-legal and forensic examinations. When highly decomposed and mutilated dead bodies with fragmentary remains are brought for postmortem examination, it becomes difficult to identify the deceased. Sometimes, cephalo-facial remains are brought in for forensic and postmortem examination. In such a situation, estimation of stature becomes equally important along with other parameters like age, sex, race, etc. (the 'Big Four' of forensic anthropology). The present investigation attempts to estimate stature from various anthropometric measurements of cephalo-facial region of individuals belonging to an endogamous group in north India. The material for the present study comprises 996 adult male Gujjars of north India ranging in age from 18 to 30 years. Five cephalo-facial measurements were taken on each subject following internationally recommended standard methods and techniques. The results indicate that all the cephalo-facial measurements are strongly and positively correlated (p<0.001) with stature. The measurements of the cephalic region have strong correlation with stature than those of facial region. The regression analysis also showed that the cephalic measurements give better prediction of stature. The regression formulae were checked for their accuracy and reliability not only in the sample which was originally used for making these formulae (genetically disparate population, n=996) but also in a mixed population of north India (heterogeneous population, n=100).     

Prediction of stature from hand measurements

A sample of 166 normal adult males and females was taken from different colleges of Assiut representing those living in upper Egypt. Each subject has been studied for measurements of stature (S), hand length (HL) and hand breadth (HB). The data were statistically analysed in order to assess the relationship between stature and hand measurements. The correlation matrix of the study indicates close similarity of the relationship between stature and hand measurements in both sexes and in both sides. A generalized multiple regression equation has been designed to estimate stature from values of hand length and hand breadth regardless of sex or side in the form: S = 34.5 + 5.77 HL + 2.7 HB +/- 5.1. This equation may be helpful to obtain approximate stature when there is difficulty in obtaining a direct measurement or where there is a chance print of a criminal or an amputated hand or arm.     

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.     

Identification of personal height from the somatometry of the hand in Punjabi males

The present study is based on a sample of 100 normal healthy Punjabi males from Patiala, Punjab, India. Each subject has been studied for three anthropometric measurements: stature, hand length and hand breadth. The data have been subjected to statistical computation for the statistical constants like mean values, standard deviation, standard error of mean, test of significance (test of normal deviates) and regressions. The data have been studied for somatometry pertaining to height, hand length and hand breadth. Bilateral symmetry in both the measurements, hand length and hand breadth, indicate insignificant variations. Regression equations have been computed and regression lines have been drawn for the estimation of stature from somatometry of hand.     

Estimating Biological Characteristics With Virtual Laser Data

Laser scanning technology is increasingly being used in forensic anthropological research to obtain virtual data for archival purposes and post hoc measurement collection. This research compared the measurement accuracy of two laser scanners—the FARO Focus^3D 330X and the FARO Freestyle^3D—against traditionally obtained (i.e., by hand) control data (N = 454). Skeletal data were collected to address a novel question: the ability of laser scanning technology to produce measurements useful for biological characteristic estimation, such as sex and stature. Results indicate that both devices produced measurements very similar to control (c. 3‐mm average absolute error), but also illuminate a tendency to under‐measure. Despite these findings, the virtual data produced sex and stature estimates that varied little from control‐produced estimates, signifying the usefulness of virtual data for preliminary biological identification when the skeletal elements are no longer available for physical analysis.     

Estimation of stature from footprint and foot outline dimensions in Gujjars of North India

Estimation of individual's stature is an important parameter in forensic examinations. Examination of footprints provides important evidence in a crime scene investigation and helps in estimation of stature of a criminal. Analysis of bare footprints is often carried out in developing countries like India where the footprints are frequently recovered at the scene of crime. The present study attempts to reconstruct stature in a sample of 2080 bilateral footprints and foot outlines collected from 1040 adult male Gujjars of North India ranging in age from 18 to 30 years. Bilateral footprints and foot outlines of each individual were measured for ten and eight measurements, respectively. The results indicate that T-2 length (length of the footprint from heel to 2nd toe) and T-5 length in footprint and T-1 length, T-4 length and breadth at ball in foot outline show statistically significant bilateral asymmetry. Significant and positive correlation coefficients exist between stature and various measurements of footprint and foot outline (P<0.001 and 0.01) except toe 1-5 angle of declination which shows insignificant correlation coefficient. The highest correlation coefficients were shown by the toe length measurements (0.82-0.87) indicating a close relationship between the stature and these measurements. Regression analysis presents smaller mean errors (2.12-3.92cm) in estimation of stature than those of division factor method (3.29-4.66cm), thus, gives better reliability of estimate than the latter. The regression equations were also checked for their accuracy by comparing the actual stature with estimated stature.     

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.     

Sexual Dimorphism of the Humerus in Contemporary Cretans—A Population‐Specific Study and a Review of the Literature*

Abstract: Sex determination is the first essential step for positive identification when a decomposed body is recovered. Taking into consideration the population aspect of sexual dimorphism of the skeleton, the present study aimed to create a sex identification technique using osteometric standards, derived from a contemporary Cretan population. A total of 168 left humeri were measured according to standard osteometric techniques. The differences between the means in males and females were significant (p < 0.0005). About 92.3% of cases were correctly classified when all measurements were applied jointly. Stepwise procedure produced an accuracy rate of 92.9%. The most effective single dimension was vertical head diameter (89.9%). The current study provides standards for a population that has not been represented so far in the existing databases. It demonstrates that the humerus is an effective bone for the estimation of sex because even in a fragmentary state it can give high classification accuracy.     

Estimation of stature and determination of sex from radial and ulnar bone lengths in a Turkish corpse sample

Determination of sex and estimation of stature are important aspects of forensic identification of an unknown individual. In the absence of pelvis the sex is assessed from long bones and cranium as they both provide high accuracy in sexing. The present study is an attempt to assess sex and stature from long bones of the forearm using recently deceased forensic cases in Istanbul, Turkey. The sample is composed of 80 males and 47 females with an average age of 36 and 30 years, respectively. Length measurements from the radius and ulna were obtained by exposing the epiphyseal ends of the long bones in a fashion similar to dry long bones. Discriminant function statistics showed a sex determination accuracy as high as 96%. Regression analysis was used in stature estimation from these two bones. Ideally osteological remains are necessary to make standards for osteological identification. These materials are not always easy to obtain and those available seem to be less ideal when they do not represent a current population. Forensic anthropologists therefore should develop techniques that utilize autopsy remains.     

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。     

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.     

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.     

Introducing Computed Tomography Standards for Age Estimation of Modern Australian Subadults Using Postnatal Ossification Timings of Select Cranial and Cervical Sites,

Contemporary, population‐specific ossification timings of the cranium are lacking in current literature due to challenges in obtaining large repositories of documented subadult material, forcing Australian practitioners to rely on North American, arguably antiquated reference standards for age estimation. This study assessed the temporal pattern of ossification of the cranium and provides recalibrated probabilistic information for age estimation of modern Australian children. Fusion status of the occipital and frontal bones, atlas, and axis was scored using a modified two‐ to four‐tier system from cranial/cervical DICOM datasets of 585 children aged birth to 10 years. Transition analysis was applied to elucidate maximum‐likelihood estimates between consecutive fusion stages, in conjunction with Bayesian statistics to calculate credible intervals for age estimation. Results demonstrate significant sex differences in skeletal maturation (p < 0.05) and earlier timings in comparison with major literary sources, underscoring the requisite of updated standards for age estimation of modern individuals.     

Is the length of the sternum reliable for estimating adult stature? A pilot study using fresh sterna and a test of two methods using dry sterna

Stature estimation is one of the four attributes of the biological profile obtained from human skeletal remains. The length of the long bones has been consistently used to estimate stature from regression equations, but these may be useless when dealing with fresh or decomposed mutilated remains. Until recently, there was no consistent assessment of the reliability of measurements of the sternum for stature estimation. The purpose of this paper is to test previously developed regression formulae for stature based on measurements of the dry sternum and to assess the reliability of measurements of the fresh sternum in estimating stature. The formulae developed by Menezes et al. and Singh et al. were applied to a sample of 5 known stature skeletons from the identified human skeletal collection curated at the National Museum of Natural History, in Lisbon, Portugal. Testing of these formulae showed that estimated stature confidence intervals do not allow discrimination between individuals with similar stature. The length of the fresh sternum was measured on a sample of 45 male individuals autopsied at the National Institute of Legal Medicine - North Delegation (Porto, Portugal). Cadaver length was regressed on sternum length and a simple linear regression formula was obtained. The regression model provided a 95% confidence interval of 13.32 cm and a correlation coefficient of only 0.329. Compared to other studies, regression formulae based on the length of the sternum provided considerably larger standard errors than that based on long bone lengths. These results suggest that the length of the sternum has limited forensic value and relatively low reliability in estimating stature from mutilated human skeletal remains, either skeletonized or fresh.     

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.