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.     

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 and Body Weight Estimation from Various Footprint Measurements Among Egyptian Population

Abstract: Analysis of footprints can reveal very important clues which can be used as a forensic evidence and help in the estimation of stature and body weight of an individual. In this work, bilateral footprints were obtained from 50 male Egyptian medical students ranging in age between 18 and 25. Nine measurements were taken on each footprint. The result revealed significant bilateral asymmetry (p < 0.001) except foot breadth at ball. The significant and positive highest correlation coefficients with stature were shown by toe‐5 length on right side (R = 0.58) and with body weight by foot breadth at ball on left side (R = ?0.52). Regression equations presented smaller standard errors of estimate (3.52–4.69) in determination of stature than those in estimation of body weight (4.05–5.28). In conclusion, this study has provided equations that help to estimate stature and body weight from footprint measurements among Egyptians.     

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。     

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.     

Two-dimensional metric comparisons between dynamic bare footprints and insole foot impressions-forensic implications

Footwear may be found at crime scenes as physical evidence. Such footwear often has impression features of the wearer’s foot on the insole of the shoe. Scientific research and literature have established that footprints are distinct. This study compares two-dimensional measurements on bare footprints to foot impressions on insoles to determine if significant differences or similarities exist. Dynamic footprints were collected from 51 donors using the Identicator® Inkless Shoe Print Model LE 25P system. Seven foot length and width measurements were taken based on the Reel linear measurement method. Footprint measurements between bare footprints and foot impressions on the insoles were compared. Only two differences (p > 0.05) were observed between the various bare footprint and insole foot impression measurements on the right and left side for most of the measurements, CALC (p < 0.001) and A1 (p = 0.04). Bare footprint and insole A5 measurements on the left side were also significantly different (p = 0.015). The results of the study have implications in the forensic analysis of foot impression evidence on insoles in footwear in assisting with identifying the wearer of said footwear. Situations may arise in the forensic context when comparing the foot impression on the insole of footwear to a suspect’s bare footprint or a footprint from post-mortem remains. This study contributes to the scant literature available on the topic and to understanding the similarities and differences observed in the various linear measurements that may be utilized in the comparison process of footprint impressions on shoe insoles to bare footprints.     

Sex determination from hand and foot bone lengths

Numerous studies have addressed sex estimation from the hands and feet with varying results. These studies have utilized multiple measurements to determine sex from the hands and feet, including measures of robusticity (e.g., base width and midshaft diameter). However, robusticity measurements are affected by activity, which can disguise underlying patterns of sexual dimorphism. The purpose of this study is to investigate the utility of length measurements of the hands and feet to estimate sex. The sample consists of white females (n=123) and males (n=136) from the Terry Collection. Discriminant function analysis was used to classify individuals by sex. The left hand outperformed both the right hand and foot producing correct classification rates exceeding 80%. Surprisingly, the phalanges were better sex discriminators than either the metacarpals or metatarsals. This study suggests that length measures are more appropriate than robusticity measures for sex estimation.     

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.     

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。     

Identification of sex depending on radiological examination of foot and patella

Forensic anthropology involves the building of an antemortem profile of an individual from skeletal remains. This includes sex, race determination, and age and stature estimation. Because most bones that are conventionally used for sex determination are often recovered either in a fragmented or incomplete state, it has become necessary to use denser bones that are often recovered intact, eg, the patella, calcaneus, and talus. The present work was performed to investigate the possibility of estimation of sex from some radiologic measurements among a known cross-section of Egyptian population. In this study lateral and anteroposterior radiographs of the right foot and knee were made on 160 living unfractured and nonpathologic individuals comprising 80 males and 80 females aged 25 to 65 years referred to the Radiology Department of Assiut University Hospital. Two measurements on right patella (maximum height and maximum width) and 2 measurements of metatarsal bones (length and midshaft diameter), were used to determine sex by univariate and multivariate discriminant analysis. Eighty radiographs of foot and patella of individuals not used in the original sample were randomly selected to test the accuracy of this method. The study revealed that significant sex differences were demonstrated based on these measurements taken on metatarsal bones more than on patella. One function associating 2 parameters (length and midshaft) of the third metatarsal bone obtained the highest value of correct sex determination with rate of 100% accuracy. The multivariate function associating length of the first, third, and fifth metatarsal bones and midshaft of first, second, and fifth metatarsal gave 100% accuracy. Test of multivariate function on the independent sample revealed a correct classification of 87.5%.     

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.     

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.     

Estimation of length of calcaneum and talus from their bony markers

Since hardly a report is available on estimation of length of calcaneum and talus from a fragment of them, a fresh study was made on a present day south Indian population. A total of 110 calcanei (55 right and 55 left), and 70 tali (35 right and 35 left), all unpaired, dry, and devoid of gross pathology, were used. Maximum anteroposterior length of the bone was measured in millimeter using an anthropometric board, and linear measurements of the other bony markers were measured in millimeter using a sliding caliper. Bony markers of calcaneum were maximum anteroposterior length, maximum transverse width, length, width and depth of groove on the sustentaculum tali, and length, width, and depth of the sulcus calcanei. Bony markers of talus were maximum anteroposterior length, maximum transverse width, length and width of articular surface for the lateral malleolus, length and width of articular surface for the medial malleolus, vertical width and transverse width of articular surface of the head, width and depth of groove for tendon of the flexor hallucis longus, and length, width, and depth of the sulcus tali. Simple regression suggested that maximum length of the calcaneum regressed significantly with maximum transverse width, length, width and depth of groove on the sustentaculum tali, and length, width, and depth of the sulcus calcanei and that maximum length of the talus regressed significantly with maximum transverse width, length and width of the lateral articular surface, length of the medial articular surface, vertical and transverse diameters of the head, and depth of the sulcus tali. Maximum length of calcaneum and talus is derived from the regression values, to predict the stature of the person from available stature equations in the literature.     

Determination of sex from the metacarpals in a Thai population

Determination of sex using metacarpals was carried out on a sample of 249 skeletons from a Thai population (154 males and 95 females), ranging in age from 19 to 93 years. Six measurements were taken on each metacarpal, namely maximum length, medio-lateral base width, antero-posterior base height, medio-lateral head width, antero-posterior head height and mid-shaft diameter. Binary logistic regression equations were calculated for determining sex from these measurements. All metacarpals from both sides produced at least one equation that correctly allocated the skeletons with 80% or greater accuracy. In a comparative test using only individuals with no missing measurements (n=196), the most accurate equations for each metacarpal on the right side had pooled allocation accuracies ranging from 85.2% to 89.3%, with the best equation based on three measurements from the 5th metacarpal. On the left side, the most accurate equations for each metacarpal ranged from 83.2% to 89.8% correct allocation, with the best equation based on three measurements of the 2nd metacarpal. When the allocation accuracy for each sex is considered in addition to the pooled accuracy, the best equations involve the same three measurements of the 5th metacarpal on the right side, but shift to three measurements of the first metacarpal on the left side, with a pooled accuracy of 88.3%. The results of this study suggest that metacarpals can be used quite reliably for sexing in forensic contexts in Thailand.     

Sex determination and estimation of stature from the long bones of the arm

The determination of sex and the estimation of stature from bones play an important role in identifying unknown bodies, parts of bodies or skeletal remains. In medico-legal practice statements on the probable sex of a decomposed body or part of a body are often expected even during autopsy. The present study was, therefore, restricted to few easily accessible dimensions from bones which were prepared only by mechanically removing soft tissues, tendons and ligaments. The specimens came from the Anatomical Institutes in Munich and Cologne from the years 1994-1998 including a total of 143 individuals (64 males and 79 females). The mean age was 79 years (46-108), the mean body height 161cm (134-189). The following measurements were taken: maximum humeral length (mean: 33.4cm in males; 30.7cm in females), vertical humeral head diameter (mean: 5.0cm in males, 4.4cm in females), humeral epicondylar width (mean: 6.6cm in males; 5.8cm in females), maximum ulnar length (mean: 26.5cm in males, 23.8cm in females), proximal ulnar width (mean: 3.4cm in males, 2.9cm in females), distal ulnar width (mean: 2.2cm in males; 1.8cm in females), maximum radial length (mean: 24.6cm in males; 22.0cm in females), radial head diameter (mean: 2.6cm in males, 2.2cm in females) and distal radial width (mean: 3.6cm in males; 3.2cm in females). The differences between the means in males and females were significant (P<0.0005). A discriminant analysis was carried out with good results. A percentage of 94.93% of cases were correctly classified when all measures of the radius were applied jointly, followed by humerus (93.15%) and ulna (90.58%). Applied singly, the humeral head diameter allowed the best distinction (90.41% correctly grouped cases), followed by the radial length (89.13%), the radial head diameter (88.57%) and the humeral epicondylar width (88.49%). The linear regression analysis for quantifying the correlation between the bone lengths and the stature led to unsatifactory results with large 95%-confidence intervals for the coefficients and high standard errors of estimate.     

Estimation of stature from stride length while walking fast

Estimation of stature from various foot and shoe measurements with the help of statistical methods is well known. However, very little work has been reported on stature estimation from stride length. As the stride length may vary in different walking speeds, in the present paper, stride length of individuals were measured while walking fast on smooth substrate has been compared with the stride length in the normal pattern of walking. Although the formulae derived are different for faster pace, the range of error in estimation of stature remains almost the same.     

Stature estimation using foot dimensions via 3D scanning in Taiwanese male adults

In forensic identification, the use of foot dimensions to predict stature is a requisite. For Taiwanese male stature prediction, available information about stature estimation using foot dimensions is still lacking. Therefore, the primary purpose of this study was to establish Taiwanese adult male stature prediction models for various foot dimensions. A total of 2,072 male 3D foot models were collected and the subjects' ages ranged from 18 to 59 years old. Thirteen foot dimensions for each foot were utilized in this study. Bilateral differences were tested using paired t-tests. Stature predictions based on different foot dimensions were conducted using simple linear and stepwise regression methods. The results showed significant bilateral differences in the majority of the selected foot dimensions (p < 0.001). Foot length had the highest positive correlation with stature in the right and left foot. Using length-related dimensions generated better prediction accuracy (0.356 < R² < 0.533, 4.193 < SEE < 4.928), whereas the worst accuracy was observed with angle-related dimensions (0.001 < R² < 0.023; 6.072 < SEE < 6.137) when employing a single foot dimension to estimate Taiwanese male stature. Stepwise regression analysis results indicated that the coefficient of determination was improved to 0.590 and 0.593 by applying five and six foot parameters to predict stature, respectively. The findings of the present study suggest that these stature estimation equations can be applied to predict Taiwanese male stature in the forensic science field.     

Heel-ball (HB) index: sexual dimorphism of a new index from foot dimensions

The present research is aimed to introduce Heel-ball (HB) index from foot dimensions and determine whether this index exhibits sexual dimorphism. The study was conducted on a sample of 303 North Indian individuals (154 men, and 149 women) aged between 13 and 18 years. The stature, body weight, foot breadth at the ball (BBAL), and foot breadth at heel (BHEL) were measured. The HB index was derived by the formula BHEL × 100/BBAL. Although the mean HB index was larger in women in both feet it showed statistically significant sex differences in the right foot only. The study shows that while the foot dimensions show a positive correlation with stature and weight, the HB index is independent of the stature and weight of an individual. This novel index (HB index) may be utilized in sex determination when a part of the foot is brought for medico-legal investigation.     

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.     

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.