Stature Estimation from Various Foot Dimensions Among Slovak Population

Anthropometric Measurements of Foot in Undergraduate Medical Students of a Medical College: A Descriptive Cross-sectional Study

INTRODUCTION

Anthropometry is one of the important parameters for differentiation of sex which varies significantly based on hereditary, geographical, racial, sexual, and other factors. This study was done to provide baseline foot anthropometric data for Nepali medical students to improve the accuracy of stature estimations and enhance forensic and clinical applications. The aim of the study was to calculate anthropometric measurements of foot in undergraduate medical students of a medical college.

METHODS

A descriptive cross-sectional study was conducted on medical students studying at a tertiary care hospital during the period of November 6, 2022 to February 28, 2023 after obtaining ethical clearance from the Institutional Review Committee (Reference number: 06/2022). A total population sampling method was used. The present study was conducted to determine the mean foot index from the right and left foot, mean measurements of the left and right foot, and sex-related dimensions of the foot in Nepalese medical students. Data were collected and analyzed using SPSS.

RESULTS

Out of 115 participants, the mean foot index for male and female were 38.34±2.13 and 39.33±2.22 respectively. The mean length of the right foot for males and females were 24.12±0.98 cm and 22.10±1.25 cm respectively. The mean length of the left foot for males and females was 24.20±1.06 cm and 22.07±1.24 cm respectively.

CONCLUSIONS

This study provides mean values of different measurements of the right and left foot of both sexes of the age group of 18-24 years in the students of a medical college.

Sexual dimorphism and determination using foot outlines, foot print angles, and foot indices

Sex determination is one of the fundamental procedures in the forensic investigation during personal identification. Foot dimensions, prints, indices, and angles are assessment tools used by podiatrists and forensic anthropologists. The arch index remains a tool for clinical evaluation of the incidence of pes planus by clinicians. This cross-sectional study was performed to investigate sexual dimorphism and discriminate sex using foot and footprint dimensions, foot angles, and foot indices among the Ebira ethnic group of Nigeria. Bilateral foot outlines and prints were obtained from 317 females and 283 males using a digital Vernier caliper, improvised footpad, and A4 paper. The results revealed that in the right foot and print, the males' bare right foot length (BRFL), bare right foot breadth (BRFB), right arch index (RAI), right Chippaux-Smirak index (RCSI), right footprint angle (RFPA), right ball angle (RBA), and all the measurements of the corresponding toes in the prints are significantly greater (p < 0.05) than the females. The same trend was also observed in the left footprint except for the left ball angle (LBA). The stepwise, binary logistics regression model for sex determination showed that bare left foot breadth (BLFB) and bare right foot length (BRFL) were the single best predictors of sex with an accuracy of 72.5% and 71.7% accuracy. Other foot variables marginally increased the percentage accuracy at each step. The receiver operating characteristic (ROC) curve analysis confirmed the sexing potential of the bare left foot breadth and bare right foot length to be 79%. Sexual dimorphism exists in all the foot dimensions, arch indices, Chippaux-Smirak indices, footprint angles, and ball angles, except the left ball angle. The sexual dimorphism in the foot variables forms the basis of sex determination, with left foot breadth and right foot length as the best sex predictors. Therefore, 25 cm can be regarded as the cut-off point for foot length and 9 cm as the cut-off point for foot breadth among this tribe.

Estimating Adult Stature Using Metatarsal Length in the Korean Population: A Cadaveric Study

This study aims to propose a regression equation for estimating stature in the Korean population using metatarsal bones from cadavers and to validate the appropriateness of the Korean-specific equation by comparing it to equations from other populations. A total of 81 adult formalin-fixed cadavers (51 males and 30 females) were evaluated. The first and second metatarsal bones' physiological and maximal lengths were measured, and the cadaveric stature of the subjects was determined as the distance from the vertex to the plantar face of the heel. In all measurements, the correlation coefficient between real stature and metatarsal length was statistically significant (p < 0.001). Additionally, both sexes showed a correlation between stature and metatarsal bone length. For unknown sex, M1 (first metatarsal maximal length) showed the strongest association between stature and metatarsal length. The following is the appropriate regression equation: 1172.4913 + 7.3275M1 (R = 0.703). The current equation demonstrated a statistically significant appropriateness for the Korean population when compared to equations for other populations (p < 0.001). In conclusion, we proposed a Korean-specific regression equation for estimating stature using metatarsal length, and this formula may be more appropriate and useful in forensic science for the Korean population.

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.

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 2nd digit length in men (R = + 0.709, R 2 = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R 2 = 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 R 2 (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.

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.

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.

Biological Profile Estimation Based on Footprints and Shoeprints from Bracara Augusta Figlinae (Brick Workshops)

Biological profile estimation is an important task of biological and forensic anthropologists. This includes sex, age, ancestry, and body morphology. In bioarchaeology, the biological profile is useful to analyze paleodemography, secular trends, paleopathology, and genetic processes, for example. Foot dimensions, footprints, and shoeprints can vary according to stature, age, sex, and body weight. The objective is to estimate these parameters in possible laterarii (brickworkers) from five footprints and seven shoeprints found in Roman bricks from Bracara Augusta. Estimation methods were applied to footprint and shoeprint measurements concerning foot length, foot breath, heel breadth, and length from heel to each finger. Three non-adult individuals were aged 1 to 4/5 years and were between 79.7 and 112.5 cm (±7.7 cm) tall. Five adults were likely female individuals, with statures between 144.2 and 159.9 cm. Methods were selected from samples preferably biologically similar to Portuguese people. This pioneer analysis provides biological insight on the Bracara Augusta laterarii and the population inhabiting Northwestern Iberia during Roman times. As a result of taphonomic constraints (cremation, soil acidity, and humidity), coeval osteological materials are hardly recovered, which further increases the relevance of this approach. Future research on methods based on Portuguese foot dimensions is essential.

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.

Index/Ring Finger Ratio, Hand and Foot Index: Gender Estimation Tools

INTRODUCTION

Gender estimation from dismembered human body parts and skeletal remains in cases of mass disasters, explosions, and assaults cases is an imperative element of any medico-legal investigations and has been a major challenge for forensic scientists.

AIM

The aim of the present study was to estimate the gender by using index and ring finger length ratio, hand and foot index along with the correlation of both the hand and foot index to determine the vital role of all the indices in establishing gender identity.

MATERIALS AND METHODS

A descriptive cross-sectional study was done on 300 subjects (150 males and 150 females). Various anthropometric measurements like hand length, hand breadth and hand index, Index Finger Length (IFL), Ring Finger Length (RFL) and IFL/RFL ratio as well as foot length, foot breadth and foot index were estimated in millimeters (mm) with the help of sliding-anthropometric caliper. The data was analysed using independent t-test and Pearson correlation coefficient test. A probability value (p) of ≤ 0.05 was considered statistically significant.

RESULTS

The index and ring finger ratio was found to be higher in females as compared to males. The hand and foot index was more in males than in females. The index and ring finger length ratio, hand and foot index between males and females was found to be statistically significant for both hands and feet. A statistically significant correlation was determined between hand indexes versus foot index.

CONCLUSION

This study can be useful to establish the gender of a dismembered hand or foot when subjected for medicolegal examination.

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.

Estimation of stature from the width of static footprints-insight into an Indian model

BACKGROUND

Footprints give an estimate of the height of an individual using gender-dependent models derived for different population and ethnic groups. However, estimation of ethnicity, age and gender from a footprint may not always be possible in forensic case work.

OBJECTIVES

The present study is done to develop models for stature (height) estimation from the width of footprints in the Indian population that are independent of the age and gender of individuals.

METHODS

The present research was conducted on 100 young adults from different regions of India. Footprints were obtained from both feet using standard techniques. Stature, and metatarsophalangeal joint (MPJ) Width (distance across the widest part of the forefoot) and calcaneal (Calc) Width (distance across the widest section of the heel) were measured on 200 footprints. Regression models were derived for estimation of stature.

RESULTS

A positive correlation is observed between footprint measurements and stature. Regression models derived from the forefoot region give a more accurate estimate of stature than the heel region of the footprint. Multiple linear regression models gave more accurate estimates of stature than the single linear regression models.

CONCLUSIONS

Regression models derived in the study for Indian population may be valuable in establishing the stature of a footprint in practical scenario when the age and gender are unknown.