Multiplication factor versus regression analysis in stature estimation from hand and foot dimensions

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.

Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males

Background

The stature of a living human reflects the nutritional, genetic, and disease patterns of individual experiences. This study adopted a simple linear regression method and R2 values to identify the preferred model for stature estimation based on the lengths of the arm, radius, ulna, and hand; breadth of the hand; and circumference of the wrist of the adult Bangladeshi male population. This cross-sectional study was performed in the Anatomy Department of Sir Salimullah Medical College, Dhaka, from January 2009 to June 2011. One hundred right-handed adult Muslim Bangladeshi males aged 25 to 45 years participated in the study.

Results

The regression model using right and left ulnar length explained 63% of the measured stature with the least standard error of the estimate (0.435 and 0.436), the model using left and right arm length explained 60%, the model using left and right radius length explained 51%, and the model using left- and right-hand length explained 44% of the measured stature. However, the models using left and right handbreadth and wrist circumference explained only 11 to 13% of the measured stature with a higher standard error of the estimate (6.66 to 6.73). For 25- to 45-year-old Bangladeshi Muslim males, the ulnar length of both sides was the best predictor of stature.

Conclusions

Linear regression equations in estimating stature effectively may encourage its application in future studies addressing different age groups, sexes, nutritional statuses, religions, and ethnicities of Bangladesh.

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 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.

Prediction of stature from long bones versus hand and foot measurements: A comparative study of the Kolhapur population

Background Estimation of stature is usually done by measurement of the long bones. Although hand and foot dimensions are useful in predicting stature, they are population-specific. Methods We compared the accuracy of predicting stature by hand and foot dimensions, with long bone (tibia and ulna) lengths, and developed a stature predictive regression formula from the parameters used for the sample population in Kolhapur. We recorded hand and foot measurements and long bone measurements of 1000 consenting participants 18-50 years of age using a stadiometer for height and an anthropometric rod compass for other measurements. Correlation between the variables and stature was determined using Pearson's correlation analysis (p<0.05). A multiple linear regression formula was derived for the prediction of stature. Results A positive correlation was observed between mean stature and foot length (r=0.67, p<0.05), tibia (r=0.66, p<0.05), ulna (r= 0.75, p<0.05) and hand length (r=0.69 left, r=0.72 right, p<0.05). There was no correlation between foot breadth and stature. Multiple linear regression analysis of hand and foot dimensions returned R2=62.96 and standard error of estimate 4.689 with comparable computed and experimental measurements. Conclusion The dimensions of the hand and foot can be used to predict stature. The formula derived from the multiple regression analysis incorporating hand and foot dimensions is a good fit to estimate stature in the study population.

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.

Dominance of the Leptoprosopic Face and Mesorrhine Nose Types: Does Stature and Facial Types Matter in Northern Nigerian Adults?

INTRODUCTION

World scientists are using facial morphometry as a reconstructive option in the treatment of patients and ethnic differentiations. Hence, the authors aimed to study the naso-facial dimensions of northern population in Nigeria.

MATERIALS AND METHODS

About 500 subjects (Igede, n = 260 and Idoma, n = 240) were recruited from schools in the Benue-Plateau valley in 2014-2015 academic session. Notable parameters measured using vernier caliper were upper facial length, lower facial length, total facial indices, nasal length, nasal width, and nasal indices. Also, stature was measured to the nearest centimeters with stadiometer.

RESULT

Taller Idoma males than Igede males (169.25 ± 8.92, 167.13 ± 8.99), and taller Igede females than Idoma females (164.57 ± 8.77, 163.45 ± 8.94). The mean facial indices of Idoma subjects showed 97.89 ± 8.53 and 97.82 ± 8.11 with nasal indices of 77.77 ± 7.34 and 80.42 ± 7.53, whereas Igede subjects showed 96.88 ± 8.61: 97.83 ± 8.36 with nasal indices of 75.59 ± 7.45 and 77.55 ± 0.21. Both ethnic groups showed dominance of the leptoprosopic face type and mesorrhine nose type. All R values appeared to be above 0.5% (P < 0.05), where Igede males and females were 0.72, 0.71: 0.82, 0.81, and 0.69, 0.65 and 0.72, 0.73 for stature with total facial indices, and nasal indices respectively.

CONCLUSIONS

Facial and nasal types serve as good predictors of stature, important for dimorphic and ethnic classifications in time of forensic needs.

Different predictive and accuracy models for sex and stature estimation from second- and fourth-digit lengths in the Kinnaur population of Himachal Pradesh, North India: Medico-legal and forensic implications

Forensic anthropologists are not only active in courtroom testimonies but also contribute to disaster victim identification. The timely recovery and identification of victims in any disaster is crucial, and anthropologists play a vital role in this process. In mass disasters such as airplane crashes, tsunamis, earthquakes or terrorist attacks, fragments of dead bodies are usually brought for identification. Each fragment demands special tactics to fulfil any of the basic attributes of forensic identification such as age, sex, stature or ancestry. If sex and stature can be estimated from a single fragment, then it can potentially reduce the identification time and possible victim matches. In this study, an attempt has been made to estimate sex and stature from the second- and fourth-digit lengths. Different predictive and accuracy models have been devised using statistical techniques. No bilateral difference was observed in the digit lengths in either sex. Consequently, an average of the digit lengths was employed for model approximations. The fourth-digit length provided the best sex estimates (M=82.1%, F=79.2%) when binary logistic regression (BLR) statistics were applied. It was also observed that overall sex estimations improved from 78.8% (from BLR) to 79.8% when discriminant function analysis was used for sex estimation. Second- and fourth-digit lengths were used independently and together for stature estimation models for males and females individually and for the pooled sample. In stature estimation models, three major interpretations were perceived: (1) the second-digit length provided the best stature estimates; (2) the estimation models compute better stature estimates for females than their counterparts, that is, standard errors are less in females than males; and (3) second and fourth digits predict more reliable stature estimation when the sex of the digits is known than that of the pooled sample.

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.

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.

Stature estimation in a contemporary Japanese population based on clavicular measurements using multidetector computed tomography

The aims of this study was to assess the correlation between stature and clavicular measurements in a contemporary Japanese population using three-dimensional (3D) computed tomographic (CT) images, and to establish regression equations for predicting stature. A total of 249 cadavers (131 males, 118 females) underwent postmortem CT scanning and subsequent forensic autopsy between October 2011 and May 2016 in our department. Four clavicular variables (linear distances between the superior margins of the left and right sternal facets to the anterior points of the left and right acromial ends and between the superior margins of the left and right sternal facets to the left and right conoid tubercles) were measured using 3D CT reconstructed images that extracted only bone data. The correlations between stature and each of the clavicular measurements were assessed with Pearson product-moment correlation coefficients. These clavicular measurements correlated significantly with stature in both sexes. The lowest standard error of estimation value in all, male, and female subjects was 3.62cm (r²=0.836), 3.55cm (r²=0.566), and 3.43cm (r²=0.663), respectively. In conclusion, clavicular measurements obtained from 3D CT images may be useful for stature estimation of Japanese individuals, particularly in cases where better predictors, such as long bones, are not available.

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.

Cephalo-facial analysis to estimate stature in a Sudanese population

Medico-legal practitioners are often confronted with dismembered remains from which they need to develop a biological profile to establish identity. Accurate estimation of stature is an initial, crucial component of any meaningful medico-legal evaluation. However, sometimes only cephalo-facial remains are available. The most accurate statistical estimations of biological attributes are based on population-specific standards. Therefore, this study assessed the ability to estimate stature using 15 cephalo-facial measurements in 240 Sudanese adults (120 men, 120 women) aged 18-25years. Stature and cephalo-facial measurements of men were significantly higher than those of women. Most of the measurements were significantly correlated with stature (p<0.05), with better correlations for women than for men. The accuracy of stature estimation using sex-specific simple and stepwise multiple regression equations ranged from ±52.53 to ±60.28mm. This study provides new forensic standards for stature prediction in a Sudanese population. However, the equations should be used with caution in forensic cases when the more reliable body parts (e.g., limbs) are not available for human identification.

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.

Possible application of CT morphometry of the calcaneus and talus in forensic anthropological identification

Computed tomography (CT) data provide information for volumetric and radiographic density analysis. The present study investigated the application of virtual CT volumetry of the tarsal bones to estimation of the sex, stature, and body weight using postmortem CT (PMCT) data of forensic autopsy cases. Three-dimensional (3D) images of the bilateral foot bones of intact Japanese subjects after adolescence (age ≥ 15 years, n = 179, 100 males and 79 females) were reconstructed on an automated CT image analyzer system. Measured parameters were mass volume, mean CT value (HU), and total CT value of the talus and calcaneus. Mean CT values of these bones showed age-dependent decreases in elderly subjects over 60 years of age for both sexes, with significant sex-related differences especially in the elderly. The mass volumes and total CT values of the talus and calcaneus showed significant sex-related differences, and also moderate correlations with body height and weight for bilateral bones in all cases (r = 0.58-0.78, p < 0.0001); however, the correlations of these parameters of the female talus with body weight were insufficient (r = 0.41-0.61, p < 0.0001). These observations indicate the applicability of virtual CT morphometry of the talus and calcaneus using an automated analyzer to estimate the sex and stature in forensic identification; however, greater variations should be considered in body weight estimations of females.

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.

Estimation of Stature from Arm Span in Medical Students of Maharashtra, India

BACKGROUND

Stature can be estimated from body parameters in dead and mutilated bodies using regression equation or multiplication factor. However, regression equations and multiplication factors are specific for the region only and can't be used in all population.

AIM

To formulate regression equation and multiplication factor for the estimation of stature from arm span (AS) for a region in Maharashtra, India.

SUBJECTS AND METHODS

It was a cross-sectional study, did over a period of 2 years, from October 2011 to September 2013. Four hundred students of three Government medical colleges of Maharashtra, aged 18-24 years were enrolled in the study. Stature and AS were measured and subjected to statistical analysis. Unpaired t-test and simple linear regression were used.

RESULTS

Stature and AS of 400 medical students (219 males and 181 females) were measured. Subjects were divided into six groups depending upon age. Simple regression equation and multiplication factor for male and female and for each age group were derived for estimation of stature. We found correlation coefficient (R) of 0.89 in male and 0.90 in female using simple regression, which shows strong correlation between stature and AS.

CONCLUSION

Mean stature and AS of male were more than female with statistical significance. Stature can be accurately estimated from AS using simple regression equation or multiplication factor.

Stature estimation based on radial and ulnar lengths using three-dimensional images from multidetector computed tomography in a Japanese population

The aim of our study was to evaluate correlations between cadaver stature (CS) and radial and ulnar lengths based on three-dimensional (3D) computed tomography (CT) images, and to develop modern regression equations for estimating CS in a Japanese population. Measurements were performed on 245 Japanese subjects (123 males and 122 females) who underwent postmortem CT between May 2011 and December 2013. A 3D reconstructed image was used for assessment. The linear distances of the left radial (LR) and right radial (RR) lengths were measured as a straight-line distance from the most anteroproximal point of the head to the most distal end of the styloid process. The linear distances of the left ulnar (LU) and right ulnar (RU) lengths were measured as a straight-line distance from the most posteroproximal point of the olecranon to the most distal end of the styloid process. The correlation between CS and each parameter (LR, LU, RR, and RU) was assessed using Pearson product-moment correlation coefficients and regression analysis was performed for stature estimation. There were significant correlations between CS and each parameter regardless of sex, indicating that the radial and ulnar lengths measured on 3D CT images can be predictive of stature estimation. Simple regression equations for stature estimation calculated from LR provided the lowest standard error of estimation (SEE) (all subjects, SEE=4.18 cm; males, SEE=4.09 cm; females, SEE=4.21 cm). In addition, multiple regression equations were more accurate and reliable than the single linear regression equations.

Estimation of stature from the upper limb measurements of Sudanese adults

The estimation of stature using different parts of the body is crucial for formulating a biological profile during the process of personal identification, especially when mutilated and amputated limbs or body parts are found. Hand anthropometry has been reported in the literature including limited range of populations to be promising for stature prediction, but few studies have attempted to link upper limb anthropometry to stature. No previous research on this topic has been reported for modern Sudanese adults. Therefore, the aim of this study was to assess the relationship between the upper limb dimensions and stature in Sudanese adults and to develop regression formulae to estimate stature from these dimensions. The stature, upper arm length, ulnar length, wrist breadth, hand length, and hand breadth of 200 right-handed subjects, comprising 100 males and 100 females (aged 25-30 years), were measured. Initially, the data were analyzed using basic univariate analysis and independent t-tests; then sex-specific simple and multiple linear regression models were used to estimate stature. The results indicated significant sexual dimorphism for all measurements. There was a positive correlation between upper limb measurements and stature (p<0.01), which was highest for ulnar length. The accuracy of stature prediction ranged from ±3.54 to 5.85 cm. The use of multiple regression equations gave better results than simple regression equations. This study provides new forensic standards for stature estimation from the upper limb measurements of Sudanese adults.

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.