Estimation of stature from foot length and foot breadth among the Rajbanshi: an indigenous population of North Bengal

Development and validation of multiple linear regression models for predicting total hip arthroplasty acetabular prosthesis

PURPOSE

To establish a multivariate linear equation to predict the diameter (outer diameter) of the acetabular prosthesis used in total hip arthroplasty.

METHODS

A cohort of 258 individuals who underwent THA at our medical facility were included in this study. The independent variables encompassed the patients' height, weight, foot length, gender, age, and surgical access. The dependent variable in this study was the diameter of the acetabular prosthesis utilized during the surgical procedure. The entire cohort dataset was randomly partitioned into a training cohort and a validation cohort, with a ratio of 7:3, employing the SPSS 26.0 software. Pearson correlation analysis was conducted to examine the relationships between the patients' height, weight, foot length, gender, age, surgical access, and the diameter of the acetabular prosthesis in the training cohort. Additionally, a multiple linear regression equation was developed using the independent variables from the training cohort and the diameter of the acetabular prosthesis as the dependent variable. This equation aimed to predict the diameter of the acetabular prosthesis based on the patients' characteristics. The accuracy of the equation was evaluated by substituting the data of the validation cohort into the multiple linear equation. The predicted acetabular prosthesis diameters were then compared with the actual diameters used in the operation.

RESULTS

The correlation analysis conducted on the training cohort revealed that surgical access (r = 0.054) and age (r = -0.120) exhibited no significant correlation with the diameter of the acetabular prosthesis utilized during the intraoperative procedure. Conversely, height (r = 0.687), weight (r = 0.654), foot length (r = 0.687), and sex (r = 0.354) demonstrated a significant correlation with the diameter of the acetabular prosthesis used intraoperatively. Furthermore, a predictive equation, denoted as Y (acetabular prosthesis diameter in mm) = 20.592 + 0.548 × foot length (cm) + 0.083 × height (cm) + 0.077 × weight (kg), was derived. This equation accurately predicted the diameter within one size with an accuracy rate of 64.94% and within two sizes with an accuracy rate of 94.81%.

CONCLUSION

Anthropometric data can accurately predict the diameter of acetabular prosthesis during total hip arthroplasty.

One size fits all? Stature estimation from footprints and the effect of substrate and speed on footprint creation

Estimation of stature from footprint lengths is a common prediction in forensic cases and in paleoanthropology upon the discovery of fossil footprints. Many studies, which have estimated stature from footprints, generally use a "one-size-fits-all" approach that usually involves applying a known ratio of foot length to total stature to do so, although this method has fallen out of practice in forensic cases in recent years but is still commonly used for fossil trace evidence. Yet, we know that substrate and speed can change the dimensions of a footprint, so why are these "one-size-fits-all" approaches still used today? We tested footprint production across different substrates at a walk, a fast walk, and a jog. We calculated how accurately footprint dimensions were impressed between these different conditions and identified sources of error in footprint lengths, and the percentage changes of how significantly a footprint can change in length between different conditions. We provide a table with different ratios that we encourage practitioners/field scientists to refer to and use when estimating stature from footprints, with respect to the substrate on which the footprint was created and the speed at which it was created. We actively encourage researchers to add the ratios by testing more substrates so that in the future stature can be more accurately estimated, thus aiding the paleoanthropological community, but also forensic investigations by statistically highlighting how different conditions can affect trace dimensions.

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.

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.

Estimation of stature from radiographically determined lower limb bone length in modern Chinese

To develop population - specific stature prediction equations from measurements of the lower limb bone in a contemporary Chinese. 303 individuals of Han group in Western China, including 201 females and 102 males were collected. The study sample was randomly divided into two subgroups. A calibration sample, which consisted of 171 females and 87 males, was used to develop the regression formula. A validation sample comprising the remaining 30 female and 15 male individuals was then used to test the predictive accuracy of the established formula. The regression equations were developed from intact bones and fragments of the femur, tibia and fibula, the maximum lengths of femur, tibia, and fibula were highly correlated with the stature. The maximum length of femur provide the most accurate result with the prediction accuracy of 3.84 cm for unknown sex, 4.00 cm in the male group, 3.45 cm in the female group, 3.61 cm in the group with age no more than 45, 3.45 cm in the group with age above 45. Moreover, the multiple regression equations were developed, and they portray a more accurate stature in instances in which the femur, tibia and fibula are available. This paper provides indications that the femur, tibia and fibula are important bones for stature estimation and they could be effectively used in forensic cases.

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.

An Odontometric Approach for Estimation of Stature in Indians: Cross- Sectional Analysis

INTRODUCTION

Height/stature is one of the useful anthropometric parameter for individual identification. Correlation of stature to long bones, even fragmentary bones is frequently reported among various populations. As teeth have the advantage of being composed largely of hard tissue which is relatively indestructible, the careful study of these can enable reliable determination of stature of the person in life.

AIM

The present study was designed to elucidate the anthropometric correlation of tooth dimensions with stature and also devises regression formulae.

MATERIALS AND METHODS

This study was carried out on 361 Indian students (151 males and 210 females) in the age range of 21- 45 years to estimate stature using odontometry. Stature and tooth measurements were taken on each partcipant following standard methods and techniques. Karl Pearson's correlation co-efficient and linear regression was used to estimate stature.

RESULTS

Regression analysis showed that the canine width can aid in estimation of stature as an adjunct when only teeth are available for identification.

CONCLUSION

Tooth dimensions can be used only as a supplementary approach for the estimation of stature but with caution.

Estimation of Sex From Index and Ring Finger Lengths in An Indigenous Population of Eastern India

INTRODUCTION

Forensic anthropology involves the identification of human remains for medico-legal purposes. Estimation of sex is an essential element of medico-legal investigations when identification of unknown dismembered remains is involved.

AIM

The present study was conducted with an aim to estimate sex from index and ring finger lengths of adult individuals belonging to an indigenous population of eastern India.

MATERIALS AND METHODS

A total of 500 unrelated adult individuals (18-60 years) from the Rajbanshi population (males: 250, females: 250) took part in the study. A total of 400 (males: 200, 200 female) participants were randomly used to develop sex estimation models using Binary Logistic Regression Analysis (BLR). A separate group of 200 adults (18-60 years) from the Karbi tribal population (males 100, females 100) were included to validate the results obtained on the Rajbanshi population. The univarate and bivariate models derived on the study group (n=400) were tested on hold-out sample of Rajbanshi participants (n=100) and the other test population of the Karbi (n=200) participants.

RESULTS

The results indicate that Index Finger Length (IFL) and Ring Finger Length (RFL) of both hands were significantly longer in males as compared to females. The ring finger was longer than the index finger in both sexes. The study successfully highlights the existence of sex differences in IFL and RFL (p<0.05). No sex differences were however, observed for the index and ring finger ratio. The predictive accuracy of IFL and RFL in sex estimation ranged between 70%-75% (in the hold out sample from the Rajbanshi population) and 60-66% (in the test sample from the Karbi population). A Receiver Operating Curve (ROC) analysis was performed to test the predictive accuracy after predicting the probability of IFL and RFL in sex estimation. The predicted probabilities using ROC analysis were observed to be higher on the left side and in multivariate analysis.

CONCLUSION

The study concludes that sex estimation from index and ring finger lengths could be of utility when more reliable means of sex estimation are not available during medico-legal investigations.

A study of the anthropometric correlations between upper limb measurements for personal identification in Sudanese population

The presence of multiple isolated commingled fleshed limbs or limb parts generates a significant challenge for forensic investigators in wars, mass disasters, and criminal assaults in the process of identification. Although upper limb measurements have been used to establish individual identity in terms of sex and stature with high success, there is a scarcity of data concerning the correlations within upper limb parts. Hence, this study aims to assess the relationships within upper limb parts and develop regression formulae to reconstruct the parts from one another. The study participants were 376 Sudanese adults (187 males and 189 females). The results of this study indicated significant sexual dimorphism for all variables. The results indicated a significant correlation within the upper limb parts. Linear and multiple regression equations were developed to reconstruct the upper limb parts in the presence of a single or multiple dimension(s) from the identical limb. Multiple regression equations generated better reconstructions than simple equations. These results are significant in forensics and orthopedic reconstructive surgery.

Estimation of stature from lengths of index and ring fingers in a North-eastern Indian population

Forensic anthropology involves identification of human remains in a legal situation. Along with the other three parameters of forensic anthropology, i.e., age, sex and ethnicity, stature estimation is an essential element of medico-legal investigations when identifications of unknown dismembered remains are involved. The present study was conducted with an aim to find the correlation between stature and the lengths of the index and ring fingers and to derive linear and multiple regression models for estimation of adult stature from the index finger and ring finger measurements. The subjects chosen for the study were composed of adult individuals belonging to the "Rajbanshi", an ethnic community of North-eastern India. A total of 500 adults (250 males and 250 females) aged between 18 years and 60 years took part in the study. All the measurements were taken using standard techniques. Stature, index finger length and ring finger length were significantly longer in the males than the females. The correlation coefficient (r) between stature and finger lengths was observed to be positive and statistically significant. Linear and multiple regression models were derived for estimation of stature from a length of index and ring fingers. The predictive accuracy of stature estimation was higher for the females than the males. It was observed that the values of the correlation coefficient (r) and the coefficient of determination (R(2)) increased in multiple regression models when compared to the linear regression models. The study also focuses on the usability of sex-specific regression models in forensic casework. The study concludes that such regression models, as those derived in the present work, can be of significant utility in the estimation of stature.

Foot length is a functional parameter for assessment of height

Stature estimation is considered as an important parameter in the examination of unknown human remains and during the analysis of evidence in crime scene investigations. During mass disasters isolated foot can be found enclosed in the shoes while footprints may be recovered at the crime scenes. Foot length and footprint length can provide valuable estimates of stature. The present communication makes a few pertinent observations on a recently published article in 'The Foot' entitled 'Foot length-a functional parameter for assessment of height, The Foot 2012, 22(1):31-34' and presents an insight into the literature available on the subject which is likely to be of value to future researchers in the field of Forensic Podiatry. The foot length and the footprint length of individuals differ from each other and hence, the research observations made in a study on foot prints cannot be applied to foot dimensions.

Stature estimation from the lengths of the growing foot-a study on North Indian adolescents

BACKGROUND AND AIMS

Stature estimation is considered as one of the basic parameters of the investigation process in unknown and commingled human remains in medico-legal case work. Race, age and sex are the other parameters which help in this process. Stature estimation is of the utmost importance as it completes the biological profile of a person along with the other three parameters of identification. The present research is intended to formulate standards for stature estimation from foot dimensions in adolescent males from North India and study the pattern of foot growth during the growing years.

METHODS

154 male adolescents from the Northern part of India were included in the study. Besides stature, five anthropometric measurements that included the length of the foot from each toe (T1, T2, T3, T4, and T5 respectively) to pternion were measured on each foot. The data was analyzed statistically using Student's t-test, Pearson's correlation, linear and multiple regression analysis for estimation of stature and growth of foot during ages 13-18 years.

RESULTS

Correlation coefficients between stature and all the foot measurements were found to be highly significant and positively correlated. Linear regression models and multiple regression models (with age as a co-variable) were derived for estimation of stature from the different measurements of the foot. Multiple regression models (with age as a co-variable) estimate stature with greater accuracy than the regression models for 13-18 years age group.

CONCLUSIONS

The study shows the growth pattern of feet in North Indian adolescents and indicates that anthropometric measurements of the foot and its segments are valuable in estimation of stature in growing individuals of that population.

Estimation of stature from the foot and its segments in a sub-adult female population of North India

BACKGROUND

Establishing personal identity is one of the main concerns in forensic investigations. Estimation of stature forms a basic domain of the investigation process in unknown and co-mingled human remains in forensic anthropology case work. The objective of the present study was to set up standards for estimation of stature from the foot and its segments in a sub-adult female population.

METHODS

The sample for the study constituted 149 young females from the Northern part of India. The participants were aged between 13 and 18 years. Besides stature, seven anthropometric measurements that included length of the foot from each toe (T1, T2, T3, T4, and T5 respectively), foot breadth at ball (BBAL) and foot breadth at heel (BHEL) were measured on both feet in each participant using standard methods and techniques.

RESULTS

The results indicated that statistically significant differences (p < 0.05) between left and right feet occur in both the foot breadth measurements (BBAL and BHEL). Foot length measurements (T1 to T5 lengths) did not show any statistically significant bilateral asymmetry. The correlation between stature and all the foot measurements was found to be positive and statistically significant (p-value < 0.001). Linear regression models and multiple regression models were derived for estimation of stature from the measurements of the foot. The present study indicates that anthropometric measurements of foot and its segments are valuable in the estimation of stature. Foot length measurements estimate stature with greater accuracy when compared to foot breadth measurements.

CONCLUSIONS

The present study concluded that foot measurements have a strong relationship with stature in the sub-adult female population of North India. Hence, the stature of an individual can be successfully estimated from the foot and its segments using different regression models derived in the study. The regression models derived in the study may be applied successfully for the estimation of stature in sub-adult females, whenever foot remains are brought for forensic examination. Stepwise multiple regression models tend to estimate stature more accurately than linear regression models in female sub-adults.

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.

Estimation of stature from cephalo-facial dimensions by regression analysis in Indo-Mauritian population

Determination of stature from fragmented human remains is vital part of forensic investigation for the purpose of identification. The present study was aimed to modelling the stature both for male and female separately on the basis of craniofacial dimensions. The study was conducted on 150 young and healthy students (75 males and 75 females) in the age group ranging from 20 to 28 years. The stature and fourteen cephalo-facial dimensions were measured on each subject by using standard anthropometric instruments. It is remarked that the stature and craniofacial measurements of males were significantly higher than that of females, except for nasal height where no significant difference was observed (p > 0.05). The correlation coefficients (r) of all cephalo-facial dimensions were less than 0.5. It means the estimation of stature is not reliable with the help of cephalo-facial dimensions.

Sex estimation from foot dimensions in an indigenous Indian population

Dismembered/severed human remains are frequently found in cases of mass disasters and criminal mutilation. Sex estimation from foot dimensions, therefore, has a vital role in establishing personal identity. There is a paucity of literature on this issue from various Indian populations. The "Rajbanshi" is one such indigenous population located in the state of West Bengal, India. The present study attempts to estimate sex from foot length, foot breadth, and foot index among 350 living adult Rajbanshi (175 men and 175 women) individuals (age range: 18-50 years). The study concludes that foot dimensions show significant sex differences. Both sectioning point and regression analyses can be used to estimate sex from foot dimensions. However, multiple regression models appear to have the maximum accuracy in sex differentiation. Although statistically significant sex differences are evident for foot index, its practical utility appears to be limited because of considerable overlap.

A study of correlation of hand and foot dimensions for personal identification in mass disasters

The identification of isolated extremities is an issue of great significance in the investigation of the identity of victims of mass disasters and fatal assaults. In forensic investigations, the dimensions of the hand and foot have been used for determination of sex, age and stature of an individual. However, the data on correlation within and between hand and foot dimensions are very limited. The present research aims at analysing the anthropometrical relationships within and between hand and foot dimensions. The study was conducted on 240 Rajputs (120 males and 120 females) from North India. The results showed a significant correlation between and within the dimensions of hands and feet. Multiplication factors, linear and multiple regression models are derived to reconstruct the hand and foot even when a single dimension is available from the extremities. Besides medico-legal implications, the study may have significance in plastic and reconstructive surgery.

Stature estimation from hand and phalanges lengths of Egyptians

Estimation of stature from extremities plays an important role in identifying the deceased in forensic examinations. This study examines the relationship between stature and hand and phalanges lengths among Egyptians. Stature, hand and phalanges lengths of 159 subjects, 82 males and 77 females (18-25years) were measured. Statistical analysis indicated that bilateral variation was insignificant for all measurements. Sex differences were significant for all measurements. Linear and multiple regression equations for stature estimation were calculated. Correlation coefficients were found to be positive, but little finger measurements of male and distal phalanges of female fingers were not correlated with stature. Regression equations were checked for accuracy by comparing the estimated stature and actual stature.