Stature Estimation from Various Foot Dimensions Among Slovak Population

The foot measurements are important in forensic field as they can be used as body height predictors for an individual. The morphology of human feet shows the variations and therefore the aim of this study was to find the relation between stature and foot measurements and to generate population‐specific equations. We measured the stature and bilateral foot measurements of 71 volunteers ranging in age between 18 and 27 years using standard measurements technique. The results revealed nonsignificant bilateral differences in all sex groups (p < 0.05). Sex differences were found to be significant in all foot measurements (p < 0.001). The highest significant and positive correlation coefficients with stature were observed for foot length in males (r = 0.759), in females (r = 0.722), and in the sex‐mixed group (r = 0.865). According to the nonsignificant sex effects on the relation between stature and foot dimensions, the regression equations were computed only for the pooled mixed‐sex group. Our study provides equations that can help to estimate stature from foot measurements among Slovaks.     

Stature Estimation from Foramen Magnum Region in Chinese Population

Estimation of stature from body parts plays a vital role in identifying the dead. This study focused on dimensions of the foramen magnum region and examined the relationship between stature and the dimensions of the foramen magnum region in northern and southern Chinese populations. Measurements were taken on the skulls of 276 individuals (all male). Data on 48 individuals from northern China and 140 from southern China were used for further stature reconstruction of the above two populations in China. Statistical analyses indicate that bilateral variation is insignificant for all measurements except maximum length of condyle in the southern Chinese population (p < 0.01) and that the northern and southern populations differ significantly only in the minimum distance between condyles. Linear and multiple regression equations for stature estimation were established. The correlation coefficients between stature and the various measurements differed between the northern and southern Chinese populations.     

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 footprint measurements in Bangladeshi adults

The estimation of stature is very important in forensic investigation, as it provides useful data that can narrow the pool of potentially matching identities. The purpose of this study was to develop formulae for the estimation of stature from footprint measurements in Bangladeshi adults. This study included 118 randomly selected men and 130 randomly selected women, all aged 18–50 years. From each participant, stature and six footprint measurements were taken by means of standard measurement techniques. Footprint measurements were found to be positively correlated with stature. Stature was estimated by using linear regression equations. The right T1 length in men (R: +0.587, R²: 0.345) and the right T2 length in women (R: +0.506, R²: 0.256) were the most reliable individual estimators of stature. However, when data were combined for both sexes, the right T2 length was identified as the most reliable estimator of stature, with higher values of R (+0.792) and R² (0.627). In conclusion, human stature can be successfully estimated by using footprint measurements; this finding can be applied in forensic research and investigation.     

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.     

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.     

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.     

Total Body Mass Estimation from Anthropometric Measurements in Modern Young Adult U.S. Populations with Healthy Body Fat Percentages (NHANES III)

This study presents a method by which to estimate total body mass in modern young adult U.S. populations who self‐identified as non‐Hispanic U.S. White, non‐Hispanic U.S. Black, and Mexican American with anthropometric measurements from the Third National Health and Nutrition Examination Survey (NHANES III) 1988–1994 dataset (N = 2532). Correlations of stature and bi‐iliac breadth with total body mass were stronger among males (r = 0.717–0.774) than among females (r = 0.549–0.661), yet these results were more accurate assessments of total body mass than existing techniques. This study also examined additional anthropometric measurements to estimate total body mass using an information‐theoretic approach demonstrating that some error in the stature–bi‐iliac breadth method is attributed to a nonsupported model with multimodel inference. The limitations of the current total body mass technique are discussed as well as the need for future studies to validate the method.     

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.     

Accuracy and Reliability of Total Body Mass Estimation Techniques from Stature and Bi‐iliac Breadth in Non‐Hispanic U.S. Whites from the Bass Donated Skeletal Collection

This paper tests the fidelity of a recent method that used the NHANES III dataset as a proxy to estimate total body mass from stature and bi‐iliac breadth in U.S. White males and females. The bi‐iliac breadths of 230 males and 152 females identified as non‐Hispanic U.S. White from the Bass Donated Skeletal Collection were measured, and along with stature from predonor paperwork, total body mass estimates were calculated and then compared to body masses recorded on predonor paperwork. Male and female samples were subdivided by body mass index (BMI [kg/m²]) categories established by the World Health Organization. Our results suggest that total body mass estimates can be accurately assessed provided that the individual is within 18.50 ≤ BMI ≤ 29.99 for White males and 18.50 ≤ BMI ≤ 24.99 for White females. Recommendations on how to report total body mass estimates are also presented.     

Development and Assessment of Postcranial Sex Estimation Methods for a Guatemalan Population

This study tests whether postcranial sex estimation methods generated from Hispanic, and mainly Mexican samples, can be successfully applied to other increasingly common migrant populations from Central America. We use a sample of postcranial data from a modern (1980s) Guatemalan Maya sample (n = 219). Results indicate a decrease in classification accuracies for previously established univariate methods when applied to the Guatemalan study sample, specifically for males whose accuracies ranged from 30 to 84%. This bias toward inaccuracies for Guatemalan males is associated with the smaller skeletal sizes for the Guatemalan sample as compared to the samples used in the tested sex estimation methods. In contrast, the tested multivariate discriminant function classification yielded less sex bias and improved classification accuracies ranging from 82 to 89%. Our results highlight which of the tested univariate and multivariate methods reach acceptable levels for accuracy for sex estimation of cases where the region of origin may include Guatemala.     

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 Influence of Body Size on the Expression of Sexually Dimorphic Morphological Traits

Skeletal sexual dimorphism manifests as size or shape differences between males and females in a population. Certain dimorphic traits are used in sex estimation methods, and populational variation in the expression of these traits can result in inaccurate sex estimation. However, the underlying causes of variation in trait expression remain unclear. This study explores body size, which also exhibits sexual dimorphism, as a potential factor influencing trait expression. To test this, skeletons of 209 individuals of varying body size were analyzed, and morphological traits were scored according to the Walker (2008), Klales et al. (2012), and Rogers (1999) sex estimation methods. Statistical analyses found significant correlations between body size parameters and expression of traits, with stature explaining more relative variance in trait expression than body mass. However, the relationships are weak and few in number, suggesting that body size has a minimal impact on the expression of these morphological traits.     

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.     

A Procedure for Calculating the Vertical Space Height of the Sacrum When Determining Skeletal Height for Use in the Anatomical Method of Adult Stature Estimation

Estimating stature from skeletonized remains is one of the essential parameters in the development of a biological profile. A new procedure for determining skeletal height (SKH) incorporating the vertical space height (VSH) from the anterior margin of the sacral promontory to the superior margins of the acetabulae for use in the anatomical method of stature estimation is introduced. Regression equations for stature estimation were generated from measurements of 38 American males of European ancestry from the William M. Bass Donated Skeletal Collection. The modification to the procedure results in a SKH that is highly correlated with stature (r = 0.925–0.948). Stature estimates have low standard errors of the estimate ranging from 21.79 to 25.95 mm, biases from to 0.50 to 0.94 mm, and accuracy rates from 17.71 mm to 19.45 mm. The procedure for determining the VSH, which replaces “S1 height” in traditional anatomical method models, is a key improvement to the method.