Estimation of stature using hand and foot dimensions in Slovak adults

Prediction of Body Height Using Hand Length and Hand Breadth in Pharmacy and Nursing Students at Misrake Ghion College, Northeast Ethiopia: An Anthropometry Study

Objectives

To predict body height using hand length and hand breadth in pharmacy and nursing students at Misrake Ghion College, Northeast Ethiopia.

Methods

A cross-sectional prospective study was conducted from October 15 to January 20, 2021. The study was carried out on 316 students (160 males and 156 females). The study participants were from the Amhara ethnic groups, with the age range of 18 to 25 years. Body height, hand length, and hand breath were measured and analyzed using SPSS version 23. The strength of association was evaluated using correlation analysis. The significance level was set at p < 0.05. A paired sample t test was performed. Regression equations were derived using simple and multiple linear regression analysis.

Results

Hand length and hand breadth had a positive significant correlation with body height in both male and females. In both males and females, left hand length had a strong significant correlation (males r = 0.768, females r = 0.670), followed by right hand length (males r = 0.711, females r = 0.626). Regarding hand length, right hand breadth (males r = 0.671, female r = 0.438) and left hand length (males r = 0.504, females r = 0.525). There was a significant bilateral difference in hand length and hand breadth on its right and left sides (p < 0.05). Simple and multiple regression equations were formulated for each sex.

Conclusion

In both males and females, body height can be estimated from hand length and breadth using simple or multiple regression equations.

Cranio-facial bones evaluation based on clinical CT data for sex determination in Northwest Indian population

The skull and pelvis have been the first choice of bones for determination of unknown human remains. The goal of the present study was to derive discriminant function equations by using clinical CT scan data of cranio-facial bones for sex determination in Northwest Indian population. This study was conducted at Department of Radiology, by collecting the retrospective data of CT scan of 217 samples. In the data, 106 were males and 111 were females in the age group between 20 and 80 years. The total number of parameters under investigation were 10. All the selected variables were sexually dimorphic and showed significant values. 91.7% of original grouped cases were correctly classified to their sex category. The TEM, rTEM and R were under the acceptable limits. The univariate, multivariate and stepwise discriminant function analysis recorded an accuracy of 88.9%, 91.7% and 93.6% respectively. Multivariate direct discriminant function analysis stepwise method yielded the highest level of accuracy in differentiating males and females. All the variables reflected statistically significant difference between males and females (p less than 0.001). The best single parameter with highest level of sexual dimorphic trait was length of cranial base. This study aims to provide sex assessment using clinical data of CT scan in Northwest Indian population by incorporating the BIOFB cranio-facial parameter. The morphometric measurements taken on CT scan images can be utilized by forensic experts in identification process.

A multivariate analysis to propose linear models for the stature estimation in the Sabahan young adult population

Background

Stature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups. To date, limited studies on stature estimation have been conducted in Sabah. Hence, this study aims to construct population-specific stature estimation equations for the large ethnic groups in Sabah, Malaysia.

Objective

The aim is to propose linear models using different hand dimensions (hand span, handbreadth, hand length, middle finger length, and the second inter-crease in the middle finger) for the young adult male and females of the major ethnic groups in Sabah.

Materials & methods

This cross-sectional study framework used stratified random sampling on 184 male and 184 female young adults. An unpaired t-test and a one-way ANOVA were used to assess the differences in the mean between sex and ethnicities, respectively. The link between the response variable and explanatory variables was initially investigated using simple linear regression, followed by multiple linear regression.

Result

The present study demonstrated the highest association for the quantitative explanatory variables among hand length and stature (right side: r = 0.833; left side: r = 0.842). Simple equations were specifically developed without sex indicators, and ethnic and multiple linear regression was developed with sex and ethnic indicators. Multiple linear regression provided good estimation r² = 0.7886 and adjusted r² = 0.7853. The stature of 18 to 25 year old large ethnic groups in Sabah can be estimated using the developed models 90.218 + 3.845 LHL -5.950 Sex—2.308 Bajau -1.673 KadazanDusun + 2.676 L2ICL. While, formula for each ethnic and sex KadazanDusun Male: Stature = 88.545 + 3.845 LHL+ 2.676 L2ICL, KadazanDusun Female: Stature = 82.595 + 3.845 LHL+ 2.676 L2ICL, Bajau Male: Stature = 87.910 + 3.845 LHL+ 2.676 L2ICL, Bajau Female: Stature = 81.960 + 3.845 LHL+ 2.676 L2ICL, Malay Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, Malay Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL, Chinese Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, and Chinese Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL.

Conclusion

The study reports anthropometric data and formulas for measuring the stature of major ethnic groups in Sabah, which can be used to compare future work.

Stature estimation from various three-dimensional anthropometric foot measurements of Taiwanese female population

Predicting a victim's stature from a dismembered body or human remains is a challenge in forensic practice. Lower extremity dimensions, such as the foot, are essential measurements for stature estimation. However, there is no available information on stature prediction generated from Taiwanese female foot measurements in the forensic science field. Hence, this study aims to investigate the correlations between various foot dimensions and stature and develop population-specific stature-prediction equations for Taiwanese females. Bilateral data of 12 foot dimensions were collected from 1058 females aged from 18 to 59 years using three-dimensional scanning. A pairedt-test is performed to evaluate bilateral differences, and linear and stepwise regression analyses are performed to generate stature predictions. The results indicate significant bilateral differences in the majority of the foot measurements. All measurements are positively correlated with stature (p < .05). Higher correlation coefficients with stature are observed in length-related foot dimensions, followed by girth- and breadth-related dimensions. The foot length on both sides is selected as an accurate and reliable parameter to conduct linear stature-predicting regression for Taiwanese females because it exhibits the highest explanation rate (right: 54.1%; left: 50.8%) and lowest estimating standard error (right: 3.883 cm, left: 4.020 cm) among the 12 foot measurements. Based on the results of the stepwise regression analysis, several stature-prediction equations consisting of various foot measurements are established. The findings of this study can provide helpful information for predicting the stature of Taiwanese females from fragmentary foot remains.

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 pairedt-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.

Estimation of stature and body weight from static and dynamic footprints - Forensic implications and validity of non-colouring cream method

In the present study, the metric properties of dynamic footprints were analysed using non-colouring method in relation with body parameters and compared with static footprint measurements. The results of the study provide a better understanding of the relationship between static and dynamic footprints, which may be useful for biological profiling that allows more accurate identification. Stature, body weight, five length and two width parameters of dynamic (walking) footprints of young Slovak adults (65 females and 68 males) were analysed. Pearson correlation coefficients were calculated and equations for prediction of stature and body weight by linear regression analysis and multiple regression analysis were developed. Intersex differences were confirmed for all parameters and bilateral for some. Statistically significant differences were found in all measurements (p-value>0.05), except for the width of the standing and walking footprint in the mixed group. A positive correlation was found between the selected footprint diameters with stature (max - r = 0.82) and body weight (max - r = 0.70). Stature could be calculated with an accuracy of up to 4.40 cm and body weight with an accuracy of up to 9.56 kg. The results of the present study show that selected measurements of dynamic footprints correlate with stature and body weight. These results could be used in biological profiling in the medical and forensic fields.

Foot Position Measurement during Assistive Motion for Sit-to-Stand Using a Single Inertial Sensor and Shoe-Type Force Sensors

Assistive motion for sit-to-stand causes lower back pain (LBP) among caregivers. Considering previous studies that showed that foot position adjustment could reduce lumbar load during assistive motion for sit-to-stand, quantitative monitoring of and instructions on foot position could contribute toward reducing LBP among caregivers. The present study proposes and evaluates a new method for the quantitative measurement of foot position during assistive motion for sit-to-stand using a few wearable sensors that are not limited to the measurement area. The proposed method measures quantitative foot position (anteroposterior and mediolateral distance between both feet) through a machine learning technique using features obtained from only a single inertial sensor on the trunk and shoe-type force sensors. During the experiment, the accuracy of the proposed method was investigated by comparing the obtained values with those from an optical motion capture system. The results showed that the proposed method produced only minor errors (less than 6.5% of body height) when measuring foot position during assistive motion for sit-to-stand. Furthermore, Bland–Altman plots suggested no fixed errors between the proposed method and the optical motion capture system. These results suggest that the proposed method could be utilized for measuring foot position during assistive motion for sit-to-stand.

Adult Stature Estimation from Radiographic Metatarsal Length in a Contemporary Korean Population

The ability to estimate stature can be important in the identification of skeletal remains. This study aims to develop a Korean-specific equation predicting stature using radiographic measurements in the contemporary Korean population. 200 healthy Korean adults, including 102 males and 98 females, were randomly selected (age, range 20–86 years). The first and second metatarsals of the foot were measured by a standing X-ray using a digital medical image viewer. The result showed a statistically significant correlation between metatarsal length and stature in Korean populations (male, R = 0.46, p < 0.001; female, R = 0.454, p < 0.001). Values of correlation coefficients (R) of the equations were 0.431 to 0.477. Compared to equations derived from other races, the Korean-specific equation showed significantly lower error values for estimating the actual height of Koreans through cross-validation. In conclusion, this study is the first to propose a Korean-specific regression formula for estimating stature using metatarsal length and a verified formula for precise application to the Korean population. However, given the relatively low correlation coefficient, the stature estimation formula derived from this study can be utilized when other bones that allow more accurate stature estimation are not available.

Stature estimation for Saudi men based on different combinations of upper limb part dimensions

Estimating stature based on body/limb parts can help define the characteristics of unidentified bodies. The most studied upper limb part is the hand, although few studies have examined whether stature can be estimated using fingers plus other hand dimensions. Moreover, there is paucity in anthropometric studies that determined whether bilateral whole limb parts (e.g., arms, forearms, and hands) are related to stature among the living subjects.This prospective cross-sectional study aimed to evaluate the relationship between different upper limb measurements and the stature of Saudi men. Furthermore, I assessed whether upper limb asymmetry was present, and developed regression models to estimate stature based on different available measurements. Stature and 13 upper limb parameters were measured for 100 right-handed Saudi men who were 18 to 24 years old.All measurements were positively correlated with stature (P < .001), and the best single predictor was the bilateral ulnar length. Asymmetry was more pronounced in the hand measurements. A multiparameter model provided reasonable predictive accuracy (±3.77-5.68 cm) and was more accurate than single-parameter models. Inclusion of the right-side fingers improved the model's accuracy.This study developed potential models for estimating stature during the identification of bodies of Saudi men.

Stature estimation from handprint measurements: an application to the medicolegal investigation

Background

The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements.

Results

The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2^nd digit length in men (R = + 0.709, R² = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R² = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R² (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population.

Conclusions

It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population.

Body height and its estimation utilizing foot length measurements in Montenegrin adolescents: a national survey

Introduction

Background: the purpose of this research was to determine a regression equation for the estimation of stature based on foot length measurements. Methods: this research was carried out in 1,001 subjects (504 male and 497 female) from the population of Montenegrin adolescents. The stature and foot length measurements were taken according to the ISAK protocol, and the data were analyzed statistically. A linear regression analysis determined the prediction of foot length for the criterion variable of body height at a significance level of p < 0.05. These relations are presented in the form of a scatter diagram. We obtained the coefficient of determination, multiple correlation coefficients, a partial correlation coefficient, the regression, a t-test and a standardized beta coefficient. Results: the results of this research study confirmed that foot length reliably predicts stature in Montenegrin adolescents of both genders, and revealed a very useful finding for physical anthropologists and experts from related fields. Conclusions: it was confirmed that there is a correlation between foot length and body height (males: 41.9 %, females: 44.3 %). Therefore, foot length has proven to be a reliable predictor on the basis of which actual body height can be estimated. Keywords.

Missing Value Imputation in Stature Estimation by Learning Algorithms Using Anthropometric Data: A Comparative Study

Estimating stature is essential in the process of personal identification. Because it is difficult to find human remains intact at crime scenes and disaster sites, for instance, methods are needed for estimating stature based on different body parts. For instance, the upper and lower limbs may vary depending on ancestry and sex, and it is of great importance to design adequate methodology for incorporating these in estimating stature. In addition, it is necessary to use machine learning rather than simple linear regression to improve the accuracy of stature estimation. In this study, the accuracy of statures estimated based on anthropometric data was compared using three imputation methods. In addition, by comparing the accuracy among linear and nonlinear classification methods, the best method was derived for estimating stature based on anthropometric data. For both sexes, multiple imputation was superior when the missing data ratio was low, and mean imputation performed well when the ratio was high. The support vector machine recorded the highest accuracy in all ratios of missing data. The findings of this study showed appropriate imputation methods for estimating stature with missing anthropometric data. In particular, the machine learning algorithms can be effectively used for estimating stature in humans.

Bayes factor: A useful tool to quantitatively evaluate and compare performance of multiple stature estimation equations

When stature estimation of incomplete skeletal remains is necessary, researchers select an estimation equation which will produce the most accurate estimates. The purpose of this study is to propose that, given prior information of a target sample, the Bayes factor can be a useful tool to quantitatively evaluate and compare performance of multiple equations in this regard. This study also explores the best-performing equations to reconstruct statures of Korean War casualties with a demonstration of equation comparisons by the Bayes factor. Thirty-three sets of stature estimates were generated using different equations based on the osteometric data of the Korean War casualties. The distribution of each set was compared to that of the population (i.e., Korean servicemen during the Korean War) using the Bayes factors and posterior probabilities generated by the R codes in the LearnBayes package. A higher Bayes factor indicates a closer similarity between the two distributions under comparison. The equation with the highest Bayes factor in this study was Choi et al.'s (1997) humerus equation (bf=9.84), followed by the femur equation of the same authors (bf=5.3). The Bayesian approach has advantages over the traditional frequentist approach primarily based on the p-value. Particularly, the Bayes factor can provide practical interpretations on the models under comparison, which allows for a quantitative prioritization of different models. Researchers can obtain more accurate stature estimates of a target sample by using the equation of the highest Bayes factor.

Relationship between surface electromyography of the spinae erector muscles and subjectively adjusted step length in the supporting standing-up motion

[Purpose] Caregivers experience low back pain owing to frequent patient handling motions such as supporting the body while standing up. To prevent low back pain in caregivers, low load posture while engaging in patient handling motions is required. We determined the relationship between surface electromyography of the erector spinae muscles and subjective step length as "long" and "short" during the supporting standing-up motions of caregivers. [Participants and Methods] Ten young male participants were asked to perform supporting standing-up motion 10 times using two-step lengths comprised of subjective long and short steps. During supporting standing-up motion, we measured surface electromyograms of the erector spinae muscles and calculated the integral electromyographic values. [Results] The subjective long/short-step length normalized by body height did not differ across the participants. In addition, the subjective long-step length was longer than the subjective short-step length in all the participants. Integral electromyographic values for both the left and right erector spinae muscles in the short-step length were significantly lower than those in the long-step length when the data obtained from all the participants were used. [Conclusion] We considered that the load of the erector spinae muscle will be reduced if the short-step instead of the long-step instruction is given. In the future, instructions based on the subjective step-length variation in caregivers must be considered.

Stature estimation from foot anthropometric measurements in Bangladeshi population

BACKGROUND

Estimating human stature is a major concern to formulate a biological profile which provides effective data for forensic identification. This research was aimed to generate a formula for estimating stature from human foot anthropometry.

METHODS

This study was conducted in selected 150 male and 150 female subjects within the range of 18 to 60 years randomly. From each subject, stature and seven-foot measurements were taken by applying the standard technique. Stature was estimated from foot measurements by using linear and multiple regression equations.

RESULTS

The result showed that each foot measurement was significantly (p < 0.001) and positively correlated with stature. Bilateral difference among male and female was not significant (p < 0.05). Multiple regression models showed better accuracy in estimating stature than linear regression models.

CONCLUSION

In conclusion, it can be said that human stature can be successfully estimated by using foot measurements which can be applied in forensic investigation.

Stature estimation from hand anthropometric measurements in Bangladeshi population

The aim of this research was to generate a standard formula for estimating stature in the Bangladeshi population from hand anthropometric measurements. Arbitrarily selected a total of 150 male and 150 female healthy subjects within the age range 18-60 years participated in this study. Stature and nine hand parameters were taken using a standard tape and a digital slide calipers for each subject. The results indicate that in male Bangladeshi population, the bilateral variation of hand length, hand breadth, maximum hand breadth, palm length, thumb length, ring finger length, and little finger length was statistically not significant (p > 0.05). On the other hand, in female, bilateral difference of hand length, hand breadth, palm length, index finger length, middle finger length, ring finger length, and little finger length was statistically insignificant (p > 0.05). All hand dimensions were statistically significant (p < 0.001) and positively correlated with stature. Linear and multiple regression equation were used to estimate stature from hand anthropometric measurements. The accuracy of the determination of stature using hand dimensions ranged from ±3.688 to ±6.112 cm. Right-hand length was the most reliable single variable in both sexes in simple linear regression (SSE ±5.347 cm in male and ±3.688 cm in female). The multiple regression models were more reliable than the linear regression models as a lower SSE and higher R and R-square values. In conclusion, our present study has a great importance to estimate stature from hand measurements among Bangladeshis from the anatomical and forensic point of view.

Stature estimation from different combinations of foot measurements using linear and multiple regression analysis in a North Indian male population

Establishing the identity of the deceased is the most important task for forensic anthropologists in forensic case-work involving unidentified human remains. In such cases, forensic anthropologists examine the remains to derive the biological profile of the deceased i.e. estimation of age, sex, stature, and ethnicity to narrow down the search of the missing. Dismembered remains are recovered in mass disasters such as train mishaps, airplane crashes, earthquakes, and terrorists' attacks or in homicidal cases where perpetrator intentionally mutilates the dead body to conceal the identity of the victim. Stature estimation is considered as one of the most important tasks when a mutilated foot is recovered in process of narrowing down the pool of possible suspects/victims. Allometry is the underlying principle for estimation of stature from foot dimensions. It has been learnt from the published literature that multiple regression models including more than one factor enhances the estimation accuracies. Among the various foot dimensions, foot length is the most frequent parameter used in the estimation of stature in forensic literature. In the present study, an attempt has been made to standardize the stature estimation models from various possible combinations of foot dimensions. For this purpose, 388 Jatt Sikh males aged between 18 and 30 years were recruited from various villages of Ludhiana district of Punjab State in Northern India. Stature, five foot length measurements, and two foot breadth measurements were taken on each subject. Linear and multiple regression models were derived for the estimation of stature from various foot measurements. The highest coefficient of determination and estimation accuracy (the least standard error of estimation S.E.E) was observed from T1 (R² = 0.397, S.E.E = 4.7109) when a single foot dimension was included in the model, (R² = 0.416, S.E.E = 4.6425) from (T1, T3) when two-foot lengths were taken, (R² = 0.418, S.E.E = 4.6426) from (T1, T3, T4) when three-foot lengths were included, (R² = 0.418, S.E.E = 4.6473) from (T1, T3, T4, T5) when four-foot lengths were included, and (R² = 0.418, S.E.E = 4.6531) when all the five foot lengths (T1, T2, T3, T4, T5) were included in the regression model. It has been concluded that multiple regression models provide more accurate results than linear regression models. However, inclusion of a factor having a weak correlation with stature in the regression model, decreases the accuracy of the model.

Estimation of stature and body weight in Slovak adults using static footprints: A preliminary study

The stature and the body weight as part of the biological profile can aid the personal identification. The dimensions of the human foot, as well as the footprint, can be used for the prediction due to the existence of its positive correlation with the stature and body weight. Five diagonal axes and ball breadth of bilateral static footprints of 132 young Slovak adults were obtained. All diameters were larger in a male group than female group. No bilateral differences were found except the first diagonal axis and ball breadth. A positive correlations between the selected footprint diameters with the stature (r = 0.37-0.64) and the body weight (r = 0.29-0.71) were confirmed. The linear and multiple regression prediction equations were developed. A stature prediction equation using the most lateral diameters (the fourth and fifth diagonal axis) exhibited the highest accuracy ranging from 4 to 7.5 cm. Similar results were found for the body weight estimation of the male and mixed group. In the female group, the most medial axis (first and second) exhibited the highest accuracy. The body weight estimation accuracy ranges from 9.09 to 11.09 kg. The real and predicted stature and body weight were compared and found differences were lower than calculated SEEs. Thresholds and prediction trend of under- or overestimation was identified. The results of the present study show that selected measurements of static footprints could be used to predict stature and body weight but should be applied only for Slovaks due to population specificity.

Estimation of stature from hand and foot dimensions in a Korean population

The estimation of stature using foot and hand dimensions is essential in the process of personal identification. The shapes of feet and hands vary depending on races and gender, and it is of great importance to design an adequate equation in consideration of variances to estimate stature. This study is based on a total of 5,195 South Korean males and females, aged from 20 to 59 years. Body dimensions of stature, hand length, hand breadth, foot length, and foot breadth were measured according to standard anthropometric procedures. The independent t-test was performed in order to verify significant gender-induced differences and the results showed that there was significant difference between males and females for all the foot-hand dimensions (p<0.01). All dimensions showed a positive and statistically significant relation with stature in both genders (p<0.01). For both genders, the foot length showed highest correlation, whereas the hand breadth showed least correlation. The stepwise regression analysis was conducted, and the results showed that males had the highest prediction accuracy in the regression equation consisting of foot length and hand length (R²=0.532), whereas females had the highest accuracy in the regression model consisting of foot length and hand breadth (R²=0.437) The findings of this study indicated that hand and foot dimensions can be used to predict the stature of South Korean in the forensic science field.

Estimation of stature from hand and handprint measurements in Iban population in Sarawak, Malaysia and its applications in forensic investigation

Handprints and dismembered hands are commonly found during crime scene investigations and disaster victim identifications, respectively. It has been indicated that the accuracy of handprint and hand measurements for estimating stature maybe population specific. Since Iban is the largest ethnic population in Sarawak, Malaysia and because the application of anthropometry of hand and handprint within this population as well as other populations within the Southeast Asian countries remain unreported, this present study that investigated the reliability and accuracy of these two anthropometric aspects acquires forensic significance. Upon measuring the height, 21 measurements were recorded on each hand and the corresponding handprint of 50 male and 52 female consented adult Iban subjects. Using univariate statistics as well as simple and multiple regression analyses, interpretation of the measurements examined here was attempted. Results revealed that lengths of hand and handprint are the more reliable traits for estimating stature in both the male and female Iban subjects (p < 0.05) with correlation strength ranging from 0.60 to 0.76. Comparable to the established skeletal standards for hand, the stature prediction accuracy using hand and handprint measurements investigated in this research ranged between 4.29 and 5.78 cm. Hence, this research provided the first forensic standard for estimation of stature among the Iban population in Sarawak that may prove useful for crime scene investigations and disaster victim identifications in Malaysia.

Estimation of stature from radiographic measurement of foot dimensions: Truncated foot length may be more reliable than full foot length

Foot length has been shown to be a reliable dimension for estimation of stature. However, phalanges of the foot are very small bones and their length may not be proportional to person's stature. Thus, we hypothesized that foot length measured excluding the phalanges, the truncated foot length, may be more reliable in stature estimation than full foot length. This study, therefore, aimed at comparing the accuracy of the regression equations derived from the truncated foot length and the full foot length. The study recruited a sample of 32 young adults (16 males and 16 females) aged from 20 to 35 years. Lateral radiographs of the right feet were obtained for each subject in a bilateral standing position while maintaining equal weight on both feet. Standing height of the participants was measured with a stadiometer. Truncated foot length and full foot length were measured on the lateral radiographs of the foot. Independent t-test was used to check for mean differences in the dimensions between genders. Linear regression analysis was used to determine the equations for stature estimation. Intra and inter-observer reliability were calculated from four precision estimates: absolute technical error of measurement (aTEM), relative technical error of measurement (rTEM), coefficient of reliability (Rr) and coefficient of variation (Cv). All the dimensions measured were significantly larger in males than females. Linear regression equations were derived for estimation of stature using both the truncated foot length and full foot length. The regression equations derived from truncated foot length have larger correlation coefficient, coefficient of determination, adjusted coefficient of determination as well as smaller standard error of estimation than those derived from full foot length. All the precision estimates showed that the measurement errors are within acceptable limits. This study suggests that even if the full foot length is available, excluding the phalanges may give more accurate stature estimation.

Estimation of stature by using the dimensions of the right hand and right foot in Han Chinese adults

The Han Chinese people are the main ethnic group in China and the largest ethnic group in the world. The dimensions of the hands and feet have been successfully used for the estimation of stature. A total of 26,927 healthy adult subjects, comprising 13,221 men and 13,706 women, were recruited. The survey samples were chosen through random cluster sampling. The mean values were significantly higher in men than those in women for all measurements (P<0.001). All the measurements showed a statistically significant correlation with stature (P<0.01). The combination of the right hand length and the right foot length was the best predictor of stature because it had the lowest standard error of estimate. The use of multiple regression equations yielded better results than did the use of linear regression equations. The accuracy of stature prediction ranged from ±4.81 to ±6.39 cm. The present study was of great importance with regards to improving the physical anthropology database of ethnic groups in China.

Anthropometric correlations between parts of the upper and lower limb: models for personal identification in a Sudanese population

PURPOSE

Identification of a deceased individual is an essential component of medicolegal practice. However, personal identification based on commingled limbs or parts of limbs, necessary in investigations of mass disasters or some crimes, is a difficult task. Limb measurements have been utilized in the development of biological parameters for personal identification, but the possibility to estimate the dimensions of parts of limbs other than hands and feet has not been assessed. The present study proposes an approach to estimate the dimensions of various parts of limbs based on other limb measurements.

METHODS

The study included 320 Sudanese adults, with equal representation of men and women. Nine limb dimensions were measured (five based on the upper limb, four based on the lower limb), and extensive statistical analysis of the distribution of values was performed.

RESULTS

The results showed that all of the measured dimensions were sexually dimorphic and that there was a significant positive correlation between the dimensions of various parts of limbs. Regression models (direct and stepwise) were developed to estimate the dimensions of parts of limbs based on measurements pertaining to one or more other parts of limbs.

CONCLUSIONS

The study revealed that the dimensions of parts of the upper and lower limb can be estimated from one another. These findings can be used in medicolegal practice and extended to constructive surgery, orthopedics, and prosthesis design for lost limbs.

Estimation of stature from handprint dimensions in Egyptian population

Handprint in the scene of the crime is one of the most valuable clues in identification of the assailant. There are numerous studies on estimation of stature from direct measures of hand dimensions, but using a handprint instead, there is little research on it. So this study tried to focus on handprint as a tool used in estimation of stature. One hundred right male hands and 91 right female hands were scanned, processed via Photoshop program and handprint measurements were taken using a software program. Our results showed that stature could be estimated from handprint measurements by simple and multiple regression equations with standard error of estimate was the lowest in handprint length ±4.54 cm in male and ±5.38 cm in female. It was concluded that handprint from the scene of the crime could be used for the prediction of the stature of the assailant.

Estimation of stature from diversified hand anthropometric dimensions from Korean population

The anthropometric method has served as a useful tool in reducing the amount of time and effort in confirmation of identity. This study is based on a sample of 321 people (167 males and 154 females) from South Korea. Twenty-nine variables including lengths, breadths, thickness, and circumference of their hands and wrists were measured. The body dimension data were analyzed using descriptive statistics. To find the relationship between the various parts of the hand and height, Pearson correlation coefficients for the parts were compared. Further, the single regression and determination coefficient of a regression estimation equation (R(2)) and standard error of estimate (S.E.E) were calculated to compare prediction reliability. Hand length was found to be the variable with the highest correlation to stature in both males (r = 0.628) and females (r = 0.534). For male subjects, hand length (R(2) = 0.398) and palm length (R(2) = 0.358) proved to be the greatest determining factors for the regression equation. For both males and females, an R-square value of 0.643 was obtained with an estimation error of ±5.719 cm by using the derived multiple regressions. In this study single and multiple regression equations were derived for accurate estimation of stature and hand length was found to be the most relevant predictor of stature.