Estimation Of Stature Research Articles

Estimation of Stature from Anthropometric Measurements of the Sternum in Nepalese Population at the Tertiary Health Care Hospital

Introduction: Stature estimation is crucial for identifying human remains in forensic and anthropological contexts, aiding in mass casualties, criminal investigations, and archaeological studies. Traditionally using long bones, alternative methods are necessary when these bones are unavailable or fragmented. Objectives: The main purpose of this study was to access the morphometric measurements of the study population and compare the findings between the two sexes. Method: A study of 100 medico-legal autopsies at Department of Forensic Medicine, Maharajgunj Medical Campus, Nepal investigated stature estimation from sternal lengths. During autopsies, cadaver length was measured using a steel tape. An incision was made from the suprasternal notch to the pubis, the sternum was removed, and the combined manubrium and mesosternum length was measured with sliding callipers. Results: The study included 67 male and 33 female cadavers, with a mean age of 37.46 years. The mean length of the manubrium was 43.34 ± 6.88 mm (44.58 ± 7.15 mm for males, 40.81 ± 5.59 mm for females). The mesosternum averaged 101.85 ± 15.65 mm (104.40 ± 16.68 mm for males, 96.66 ± 11.92 mm for females). The combined sternal length was 146.12 ± 16.64 mm. Body length correlated weakly but significantly with manubrium, mesosternum, and combined sternal lengths (r = 0.242, 0.206, 0.320 respectively). Conclusion: Stature estimation from sternal length is valuable for identifying mass casualty victims, with males showing greater measurements. Combined manubrium and mesosternum lengths are better stature estimators.

An investigation of the relationship between long bone measurements and stature: Implications for estimating skeletal stature in subadults.

The present study introduces new regression formulae that address several challenges of current subadult stature estimation methods by 1) using a large, contemporary, cross-sectional sample of subadult skeletal remains; 2) generating regression models using both lengths and breadths; 3) utilizing both linear and nonlinear regression models to accommodate the nonlinear shape of long bone growth; and 4) providing usable prediction intervals for estimating stature. Eighteen long bone measurements, stature, and age were collected from computed tomography images for a sample of individuals (n = 990) between birth and 20 years from the United States. The bivariate relationship between long bone measurements and stature was modeled using linear and nonlinear methods on an 80% training sample and evaluated on a 20% testing sample. Equations were generated using pooled-sex samples. Goodness of fit was evaluated using Kolmogorov-Smirnov tests and mean absolute deviation (MAD). Accuracy and precision were quantified using percent testing accuracy and Bland-Altman plots. In total, 38 stature estimation equations were created and evaluated, all achieving testing accuracies greater than 90%. Nonlinear models generated better fits compared to linear counterparts and generally produced smaller MAD (3.65 - 15.90cm). Length models generally performed better than breadth models, and a mixture of linear and nonlinear methods resulted in highest testing accuracies. Model performance was not biased by sex, age, or measurement type. A freely available, online graphical user interface is provided for immediate use of the models by practitioners in forensic anthropology and will be expanded to include bioarchaeological contexts in the future.

Stature estimation equations from fragmentary long bones based on a modern Eastern Mediterranean assemblage.

Stature estimation is central in forensic anthropology and very important in bioarchaeology. For this reason, several different methods have been proposed, employing different skeletal elements and statistical approaches. A major issue with skeletonized individuals is that their bones are often found fragmented, a taphonomic parameter that limits the application of many available methods. As a result, attempts have been made to create equations to predict either directly stature or long bone length (which can then be used with current stature prediction equations) from bone fragments. The current paper is a contribution in this direction. The femur, tibia and humerus of 76 individuals from a modern Greek skeletal collection were divided into different segments using a landmark approach. Subsequently, univariate and multivariate equations were created to predict both maximum long bone length and stature from the "bone fragments". The models varied in performance depending on the specific bone fragment used, the number of variables simultaneously employed for prediction and the sex of the individuals. Although the models used to directly predict stature from bone fragment dimensions should be treated cautiously because the stature of the assemblage from the Athens Collection had itself been anatomically estimated, the results are valuable towards highlighting the complex association between bone dimensions, long bone length and living/estimated stature.

Estimation of Stature from Percutaneous Upper Limb Measurements in the North Indian Population

Background: In the field of forensic anthropology, stature estimation plays an important role in the identification of unknown dismembered bodies and skeletal remains. When forensic experts find body parts during a police investigation, their first task is to determine the age, sex, and height of the person. They assist law enforcement by using scientific methods in criminal cases. Material and Methods: A cross-sectional study was carried out in the city. Measurements were taken on both the left and right sides of all males. The sample size was 563 individuals aged between 20 and 40 years. Accurate measurements of five upper extremities and stature were measured with the help of an Anthropometer and Sliding calliper. Results: The correlation observed between stature and upper limb showed varying degrees of correlation, ranging from moderate to strong 0.315 to 0.859. The precision of these equations was established by the obtained correlation value, where a greater correlation nearest to 1 indicated the highest significance. Conclusion: This research addresses a critical gap by focusing on the upper extremities in a contemporary Central Indian population. Developing stature estimation models from specific body parts not only advances anthropological research but also aids forensic investigations, especially in warm climates like Uttar Pradesh.

Correlation of Stature and Hand Dimension Among Medical Students of South Tamil Nadu, India

Background & Objectives Estimation of stature from the incomplete skeletal remains have importance in personal identification in the events of murders, accidents or natural disasters and considered as one of the biggest challenges of forensic science. Objectives: To study the relationship of stature in relation with hand dimensions and to derive a mathematical model to predict the stature from hand dimensions. Methods This cross-sectional study was done among 50 medical students studying at a medical college in South Tamilnadu. Age, gender, hand dimensions and height of all the subjects were noted. Pearson correlation was done to find the correlation between hand dimensions and height. Linear regression was used to derive the equations to predict the stature of an individual using various dimensions of hands. Results The mean age of the study population was 20.06 ± 1.28 years. Regression equations were derived to predict the stature of an individual with length and breadth of right and left hand. There was statistically significant positive correlation between stature and dimensions of both right and left hand. Linear regression equations were derived to predict the stature of an individual with any of the hand dimensions. Interpretation & Conclusion Hand dimensions have statistically significant positive correlation with the stature. The length or breadth of the right or left hand can be used to predict the stature of an individual. Keywords: Breadth of hand, Height, Identification, Length of hand, Linear regression, Prediction, Stature.

Technical note: Measuring bicondylar length in computed tomography data.

With the increased use of 3D-generated images in biological research, there is a critical need to adapt classical anatomical measurements, traditionally conducted with calipers, to a virtual environment. We present detailed protocols for measuring bicondylar length, a critical dimension of the femur, using three different imaging software programs-3D Slicer™, Amira™, and Simpleware™. These protocols provide researchers and practitioners in radiology, orthopedics, biomechanics, and biological anthropology with accurate and reproducible measurement techniques. The objective is to standardize and support virtual osteology in biomechanical research, stature estimation, and related medical and anthropological studies. Adhering to standardized protocols, we adapted femoral bicondylar length measurements for computed tomography images from a New Mexican collection (n = 10). The method was designed for applicability and reproducibility across three software platforms. By comparing measurements from the same sample across different observers and different platforms, this study validates the accuracy and consistency of the adapted protocol, demonstrating its utility for research and clinical assessments. We present a step-by-step guide for each program, detailing bone alignment and measurement. We illustrate each step and provide video tutorials via links for an enhanced understanding of the process. Bicondylar length can be measured effectively in each software program following the provided instructions. However, ease of measurement varied among the programs, with some offering a more straightforward process. This variability underscores the importance of choosing appropriate software for the user's needs and proficiency. It also suggests areas for improvement and standardization in software design and instructional clarity.

Evaluating the accuracy of population-specific versus generic stature estimation regression equations in a South African sample.

Accurate estimates of stature play an important role in the personal identification of unknown decedents, however a drawback in the application of many stature estimation equations is the need for known sex and population, the assignment of which can be challenging. Researchers have formulated equations for stature estimation that are neither population- nor sex-specific and thereof the aim of this study was to assess the applicability of these stature estimation equations proposed by Albanese et al.. (2016) (Albanese J, Tuck A, Gomes J, Cardoso HFV (2016) An alternative approach for estimating stature for long bones that is not population- or group-specific. Forensic Sci Int 259:59-68). The physiological length of the femur, condylar malleolar length of the tibia and a combination of these measurements, collected from Magnetic Resonance Imaging Scanograms of adult (20-60 years) White South African males (n = 30) and females (n = 44) were used to assess the accuracy of the Albanese et al. (Albanese J, Tuck A, Gomes J, Cardoso HFV (2016) An alternative approach for estimating stature for long bones that is not population- or group-specific. Forensic Sci Int 259:59-68). sex-specific and generic stature estimation equations. The stature estimates were compared with measured living stature (LSM), using paired t-tests. Results indicated that the Albanese et al. (Albanese J, Tuck A, Gomes J, Cardoso HFV (2016) An alternative approach for estimating stature for long bones that is not population- or group-specific. Forensic Sci Int 259:59-68). equations underestimated living stature by between 1.1 and 5.0cm. These underestimations were significantly different between the LSM and the sex-specific estimates for females and the LSM and the generic estimates for males and the tibia for sex-specific equation. All stature estimates however fell in between two standard error of estimates for the sex-specific equations for males and the generic equations for the females. Although, the equations by Albanese et al. (Albanese J, Tuck A, Gomes J, Cardoso HFV (2016) An alternative approach for estimating stature for long bones that is not population- or group-specific. Forensic Sci Int 259:59-68). can be used to estimate stature in White South Africans in certain cases, the use of sex/population-specific equations remains the method of choice.

Association of Production and Selected Dimensional Conformation Traits in Holstein Friesian Cows.

The objective of this study was to estimate the heritability of dairy production traits and that for dimensional traits and to calculate the correlation between the two heritability values in a Holstein Friesian cow herd bred in Hungary. Data of 15,032 Holstein Friesian cows born in the period 2008-2018 from 666 sires were collected for the study in 6 large dairy herds. Among the conformation traits, stature (ST), chest width (CW), body depth (BD), and rump width (RW), and for production traits, in the first lactation of cows, the 305-day milk yield (MY), milk butterfat yield (FY), and milk protein yield (MY) were evaluated. Heritability estimates of ST, CW, BD, and RW were 0.49, 0.25, 0.31, and 0.30, and those of MY, FY, and PY were 0.40, 0.35, and 0.30, respectively. BD and RW had no phenotypic (b = -0.01) or genetic (b = 0.00-0.01) change. The production traits (MY, FY, PY) increased to a greater extent (b = 2.2-43.3) than the examined conformation traits over time. Consequently, it is indicated that the selection for dairy production did not result in an increase in the studied dimensional traits.

Stature estimation in male and female populations of India and Nigeria depending on other anthropometric parameters using multiple regression analysis

In cases of mass disasters, accidents, or criminal investigations where the identity of victims is unknown certain basic anthropological parameters are helpful in ascertaining these like race, sex, age and stature. Estimating stature using multiple body measurements such as shoulder breadth, foot length, thigh length, and knee height is a common approach in anthropometry and forensic anthropology. The presence of sex and population differences in anthropometric indicators allows these measurements to be used not only to estimate the stature of an individual, but also to determine sex, different races or populations based on skeletal remains. The purpose of the study is to develop and practically verify the work of regression equations for estimating stature depending on other anthropometric indicators of men and women of two ethnically diverse populations. For this study, anthropometric data were gathered from two distinct population groups: Indian (n=102) and Nigerian (n=205). Basic demographic details along with measurements of shoulder breadth, sitting shoulder height, sitting foot length, sitting knee height, and sitting thigh length were obtained using standardized techniques as per the established anthropometric protocols. Statistical analysis was performed using appropriate software packages such as SPSS, R, or SAS. The multiple regression method was used to estimate body length depending on other anthropometric indicators. As a result of the conducted multiple linear regression analysis, reliable relationships between stature and specific anthropometric measurements in Nigerian and Indian men and women were established. It was found that stature is highly likely to depend on knee height in a sitting position in Nigerian women (R2=0.531, p<0.001), as well as hip length, foot length, and shoulder height in a sitting position in Indian men (R2=0.725, p <0.001). Stature in Indian women reliably depends on hip length and foot length in a sitting position, and in Nigerian men - on hip length, foot length, shoulder width and shoulder height in a sitting position, but the regression equations have a coefficient of determination less than 0.5 (respectively, R2=0.463, p<0.001 and R2=0.405, p<0.001) and therefore do not have much significance for forensic purposes. Additional groups (30 people for each category) were used to test the obtained regression equations. The high correlation coefficients (0.6<r<0.75) observed in both test groups indicate the reliability of the regression models and the suitability of the selected anthropometric measurements for the estimation of stature in these populations. The obtained data emphasize the importance of taking into account factors specific to the population when developing regression equations for the estimation of stature and emphasize the usefulness of anthropometric measurements in predicting this indicator for different gender and demographic groups of the population, although their further verification on larger and more diverse samples is necessary.

Multivariate Regression Model for Stature Estimation from Arm Span, Horizontal Fingertip Reach and Foot Length of Igbo Ethnic Group of Nigeria

Multivariate Regression Model for Stature Estimation from Arm Span, Horizontal Fingertip Reach and Foot Length of Igbo Ethnic Group of Nigeria

Application of the Length of Index and Ring Fingers to Estimate the Stature.

Stature contributes as a crucial element of an individual's physical appearance and can be instrumental in establishing their identity.In cases where the body is extensively mutilated, decomposed, or reduced to skeletal remains, stature becomes an essential component in identifying the unknown by means of measuring the skeletal remains. Its estimation relies on the principle that an individual's height has a definite and linear relationship with specific body parts and long bones. This process, together with assessing age, sex, and race constitutes the essential components of the anthropological protocol. Stature estimation can be accomplished through both anatomical and mathematical approaches. The present study clearly defines regression models for height estimation from finger lengths. The formula derived can proveparticularly valuable in Medico-legal scenarios, as it can be applied effectively even when only a portion of the body is accessible. The purpose of the present study is to estimate the stature of individuals by measuring the length of the index and ring fingers. The current study acquired three measurements, such as stature, right/left index finger length (RIFL/LIFL), and ring finger length (RFL), from 220 samples, including 110 males and 110 females, respectively, between the age groups of 20 and 60 years. The application of the length of the index and ring finger in forensic investigations holds significance due to their potential as reliable predictors of an individual's height. According to the findings of the study, males showed significantly higher stature than females. A statistically significant correlation was also observed (p-value = 0) between stature and finger lengths (IFL, RFL) in both hands. The highest correlation coefficients were found for the left RFL (r = 0.688) in females and the LIFL (r = 0.552) in males. Additionally, males showed significantly longer index and RFL than females. Linear regression models for the estimation of stature from ring and index finger length were also derived successfully. The results obtained from the present study exhibit potential use to evaluate the utility of measuring index and RFLs for determining stature and predicting the precision of regression models by employing those parameters. The models derived from this study can serve as corroborative evidence for identifying mutilated body parts or unknown remains.

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

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. 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. 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. 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.

Estimation of Stature of School Aged Children from Kazaure Emirate Using Percutaneous Humeral Length

Estimation of Stature of School Aged Children from Kazaure Emirate Using Percutaneous Humeral Length

Estimation of Stature from Head Length and Head Breadth in Undergraduate Medical Students: An Anthropometric Study

Background: Height is a significant parameter for growth and development of an individual. The aim of our study is to estimate stature from Head Length (HL) and Head Breadth (HB) in living and to derive the correlation and regression formulae between them. Methods: This is a descriptive study. A total of one hundred and ninety four medical students, presently studying at Devdaha Medical College and Research Institute, aged between eighteen and twenty four years were selected as the subjects for the present study. Two skull measurements namely head length and head breadth were taken by following standards- Anthropometric methods and technique and the Standing height was measured using a stadiometer. Results: The Regression equation for stature of males using head length is 153.02+0.75HL and using head breadth is 141.65+1.67HB. The regression equation for stature in females using head length and breadth are 100.837+3.081HL and 112.23+3.002HB respectively. Conclusion: From our study we conclude that there is a weak positive correlation between height and head length in both males and females. The data obtained may be useful in anthropological research, forensic, genetic research, as well as in medical clinical practice.

Stature Estimation from the Measures of Upper Limb Segments in Hisar Population Migrated from India

Stature Estimation from the Measures of Upper Limb Segments in Hisar Population Migrated from India

Comparative Study of Sex Estimation by Mesiodistal width of Mandibular Canine and Mesiodistal width of Maxillary Canine in North Indian Population

Abbreviations: MD: Mesiodistal, SD: Standard deviation, mm: millimetres. Introduction: Various methods of identification such as anthropometry, stature estimation, dactylography, sex estimation, age estimation, DNA analysis, differentiation by blood groups and odontology are used in forensic medicine to create biological profile of an unknown individual. Estimation of sex is the first step towards identification of person. Determination of sex from skeletal remains is an essential task in medicolegal examination.Teeth are highly indestructible and reveal minimal turnover of natural substance hence teeth can be used for sex estimation. Mesiodistal parameter of mandibular and maxillary canine gave evidence of sex estimation due to sexual dimorphism. Aim: The aim of our study was to evaluate the sex estimation by mesiodistal width of mandibular canine and mesiodistal width of maxillary canine in north Indian population. Materials and Methods: The sample comprised of dental impression from 120 individuals (60 males and 60 females), all young adults between 20 and 35 years of age. Impressions of the teeth were made using irreversible hydrocolloid (alginate) material and casts poured in dental stone. Mesiodistal (MD) dimensions of mandibular and maxillary canine of both right and left side is measure by caliper. Results: Mean mandibular canine width of both right and left sidewere higher in male than female and were statistically significant whereas, mean maxillary canine width of both right and left side were slightly higher in male than female but were not statistically significant in young north Indian population. Left mandibular canine width (6%) was more sexually dimorphic than right mandibular canine width (5.1%). Whereas negligible sexual dimorphism shown by maxillary canine. Conclusion: The study confirmed that among maxillary and mandibular canine, mandibular canine can be used for sex estimation and shows significant sexual dimorphism.

Comparison of Regression Analysis and Mathematical Methods for Stature Estimation from the Upper Limb Measurements of the Modern South Indian Population

This study aimed to establish reliable mathematical and regression analysis (RA) methods for estimating stature using upper limb (UL) anthropometric parameters in the modern South Indian (MSI) population. This study was conducted on a sample size (117 men and 97 women) from the MSI population. Dead bodies within 3 hours of death were included in this study, as the study outcome is meant to apply to the dead and dismembered UL parts. Mathematical and linear RA methods were used to derive multiplication factors (MFs) and regression equations (REs) for the estimation of stature from UL measurements (arm length [AL], forearm length, palm length, and middle finger length [MFL]) and assess their prediction accuracy. A statistically significant correlation was found between UL measurements and stature, indicating their potential use for stature estimation. Both genders showed a statistically significant positive relationship between UL measurements and stature. Both MF and RA methods exhibited reasonable goodness of fit, albeit the RA method yielded a closer estimate of the actual stature than the former. The derived RE showed reasonable goodness of fit and precision in both genders, as evidenced by high R2 values and low standard errors. The RA and MF methods slightly over- and under-estimated the actual stature, respectively. The MFL and AL showed the strongest and weakest relationship with the stature. Both methods have practical significance though the precision is higher with RA methods. The MF method is simpler, as it is independent of statistical resources, while the RA method may be more useful in cases where there is a large amount of variation in the data. The outcome of this study has significant implications for the forensic and anthropology fields. The derived RE and MF provide a reliable framework for estimating stature from anthropometric measurements of dismembered UL remnants. This information can be valuable in forensic investigations, unidentified remains cases and archaeological studies.

Sex and stature estimation from anthropometric measurements of the foot: linear analyses and neural network approach on a Turkish sample

BackgroundFor over a century, anthropometric techniques, widely used by anthropologists and adopted by medical scientists, have been utilized for predicting stature and sex. This study, conducted on a Eastern Turkish sample, aims to predict sex and stature using foot measurements through linear methods and Artificial Neural Networks. Our research was conducted on 134 medical students, comprising 69 males and 65 females. Stature and weight were measured in a standard anatomical position in the Frankfurt Horizontal Plane with a stadiometer of 0.1 cm precision. Measurements of both feet's height, length, and breadth were taken using a Vernier caliper, osteometric board, and height scale. The data were analyzed using SPSS 26.00.ResultsIt was observed that all foot dimensions in males were significantly larger than in females. Sex prediction using linear methods yielded an accuracy of 94.8%, with a stature estimation error of 4.15 cm. When employing Artificial Neural Networks, sex prediction accuracy increased to 97.8%, and the error in stature estimation was reduced to 4.07 cm.ConclusionsOur findings indicate that Artificial Neural Networks can work more effectively with such data. Using Artificial Neural Networks, the accuracy of sex prediction for both feet exceeded 95%. Additionally, the error in stature estimation was reduced compared to the formulas obtained through linear methods.

Stature Estimation Using Hand and Foot Metrics among the Meena Tribal Population of the North-western Indian Region

Stature Estimation Using Hand and Foot Metrics among the Meena Tribal Population of the North-western Indian Region

Stature Estimation using Tibia Length in Young Adults of Urhobo Ethnic Group, in South-south, Nigeria

Introduction: Estimating stature is an essential part of the identification of human skeletal remains or body parts. The purpose of this study was to estimate stature using tibia length among young Urhobo Adults.
 Materials and method: 350 subjects (144 males and 206 females) were utilized for the study. Stature was measured using a stadiometer and tibia length was measured using a digital Vernier calliper. The independent and paired samples t-test, Pearson's correlation test and linear regression equations were employed using Statistical Package for Social Sciences (SPSS) software.
 Results: The mean height in males was 174.22cm and females was 163.97cm, the mean Right tibia length was 40.48cm in males and 37.67cm in females while the left tibia length was 40.41cm and 37.63cm in males and females respectively. There was significant difference between right and left tibia length in males and the general population (p<0.001). However, females showed no significant difference (p>0.05). There was a strong positive significant association between stature and bone lengths (r>0.8, p<0.001). There was no significant difference between the estimated and actual stature for subjects using the general and group-specific regression formulas (p>0.05).
 Conclusion: The study showed that males have significantly higher mean values of parameters measured than females. Right tibia length was significantly longer than the left in males and total population. Groupspecific formula gave more accurate results than the general formula making them better suited to estimate stature in forensic cases. Hence, tibia length can be used as an important tool in forensic examination as they provide elements of accuracy in stature determination.