Estimation Of Stature Research Articles

Nationwide Stature Estimation from Forearm Length Measurements in Montenegrin Adolescents

Nationwide Stature Estimation from Forearm Length Measurements in Montenegrin Adolescents

Bioarchaeological analysis of the human skeletal remains from cliff tomb burial of the Wangyuancun site in Leshan, Chengdu Plain, Southwest China

Though archaeological and historical-document evidences for the cliff necropolises in ancient China were reported in literature, the bioarchaeological analysis for them is still absent. It is therefore the aim of this paper presents the first bioarchaeological analysis for the skeletal samples of cliff necropolises from the Iron Age in China. In this work, skeletal remains of 16 individuals (two males, three females, seven unsexed adults, one subadult, and three indeterminate sex and age individuals) of Wangyuancun site (on the border of the Chengdu Plain, China) were examined for the stature, dental pathologies, linear enamel hypoplasia, cribra orbitalia, degenerative osteoarthritis of the vertebrae and major joints, periostitis, trauma and other evidence of disease. The demographic structure of Wangyuancun site is characterized by a younger mean age at death and a low mortality rate for infants and children. The stature estimates show that these Iron Age people were similar in size compared with the people live in contemporary southwestern region of China. Most of the samples lacked indications of stress, but a few had cribra orbitalia, osteoarthritis, osteophytosis and various dental pathologies. Periosteal reactions were common, but the lesions are generally moderate or mild. These bioarchaeological results broaden our understanding of the health and lifestyle of the cliff tomb population of Chengdu Plain in the Iron Age. Our bioarchaeological examination of the skeletal samples of Wangyuancun site provides a rare opportunity to address questions concerning ancient people’s diet, health, disease and stress of population in the Iron Age of Chengdu Plain, Southwest China.

Correlation and Estimation of Stature from Carrea’s Index: A Study Among Two Populations in India

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Stature Estimation of Ikwerre Students in Rivers State University Using Middle Finger Length

Background: The basic need for investigating the damaged remains is to create a biological profile that matches, resembles, and identifies the individual by estimating the age, gender, and stature of the remains. This profile serves to increase the chances of identification and investigation of the cause of death. The study aimed at estimating the stature of Ikwerre students at Rivers State University using middle finger length. Materials and Methods: Standing height and middle finger length of 267 subjects were measured using a digital stadiometer and digital vernier calliper, respectively. Statistical analysis, employing the t-test, Pearson correlation, and regression analysis, was carried out with the aid of SPSS version 23.0. Results and Discussions: Results showed that all parameters investigated were higher in males (P <0.05) and that the correlations between middle finger lengths and stature were significant in both genders; no significant difference was found between the left and right middle finger lengths in the study population. Conclusion: The study concludes that it is possible to estimate the stature of an unknown Ikwerre student from the length of the right and left middle fingers. This study has demonstrated its application in identification, especially in cases of accidents with dismembered body parts. This study is recommended to forensic experts, anatomists, physicians, medical practitioners, and the government of Rivers State for use as a reference for other studies.

Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence

Artificial-intelligence (AI) allows large-scale analyses of long-leg-radiographs (LLRs). We used this technology to derive an update for the classical regression formulae by Trotter and Gleser, which are frequently used to infer stature based on long-bone measurements. We analyzed calibrated, standing LLRs from 4200 participants taken between 2015 and 2020. Automated landmark placement was conducted using the AI-algorithm LAMA™ and the measurements were used to determine femoral, tibial and total leg-length. Linear regression equations were subsequently derived for stature estimation. The estimated regression equations have a shallower slope and larger intercept in males and females (Femur-male: slope = 2.08, intercept = 77.49; Femur-female: slope = 1.9, intercept = 79.81) compared to the formulae previously derived by Trotter and Gleser 1952 (Femur-male: slope = 2.38, intercept = 61.41; Femur-female: slope = 2.47, intercept = 54.13) and Trotter and Gleser 1958 (Femur-male: slope = 2.32, intercept = 65.53). All long-bone measurements showed a high correlation (r ≥ 0.76) with stature. The linear equations we derived tended to overestimate stature in short persons and underestimate stature in tall persons. The differences in slopes and intercepts from those published by Trotter and Gleser (1952, 1958) may result from an ongoing secular increase in stature. Our study illustrates that AI-algorithms are a promising new tool enabling large-scale measurements.

Estimation of Stature from Per Cutaneous Length of Tibia in Students in a Rural Government Medical College and Hospital in Maharashtrian Population

Estimation of Stature from Per Cutaneous Length of Tibia in Students in a Rural Government Medical College and Hospital in Maharashtrian Population

Estimation of Stature from Hand Length & Hand Width in Students of Tertiary Care Hospital

Estimation of Stature from Hand Length & Hand Width in Students of Tertiary Care Hospital

Estimation of stature in a quilombola community in northeastern Brazil using anthropometric measurements of the hands

BackgroundEstimating or predicting stature, using fragments of the body or components of the human skeleton, for this purpose, originates from the idea of proportionality between the different parts of the body. The aim of this study is to estimate stature from anthropometric measurements of the hands (length and width). The sample consisted of 300 individuals from a quilombola community in northeastern Brazil, 150 males and 150 females. All people from the quilombola community, enjoying good general health, were included, and those people who presented deformities of the hand, spine, and lower limbs were excluded.ResultThe correlation coefficients between stature and hand length values were positive and moderate. As for females, the correlation between stature and lengths of the right and left hands were respectively 0.574 (p < 0.0001) and 0.612 (p < 0.0001).ConclusionThe measure that best correlated with stature in the quilombola community in northeastern Brazil was hand length for both sexes, with the highest correlation for females.

An Anthropometric Study Of Stature Estimation From Little Finger Length In The Haryanvi Population

Identifying a person is one of the most important aspects of a medicolegal inquiry. Research has been done to assess stature using various body components. The current study set out to determine whether little finger lengths are a reliable indicator of stature and to compute regression models using the data that were collected. The current study attempted to check the usefulness and calculate the regression models in the estimation of stature from little finger lengths. However, regression equations and multiplication factors are specific to Haryana and nearby regions only. Other parts of India can have some differences in value in comparison to our study. The study was carried out on a cross-sectional sample of 145 adult students from the Haryana region, of which 80 were males and 65 were females. A significant correlation was observed between little finger length and stature, i.e., 0.22 in males and 0.20 in females. The current study’s findings show that little finger lengths are capable of estimating an individual’s stature.

Trotter and Gleser's (1958) equations outperform Trotter and Gleser's (1952) equations in stature estimation of the US White males.

The performance of three stature estimation methods was compared quantitatively.Trotter and Gleser's (1952, 1958) and FORDISC White male equations were included.Overall, Trotter and Gleser's 1958 method outperformed the other methods.This study provides a practical guide for stature estimation equation selection.

Stature estimation in Ancient Greece: population-specific equations and secular trends from 9000 BC to 900 AD

Stature is critical for our understanding of human morphology and evolution. This necessitates the development of accurate stature estimation methods. The aim of the present study is to generate population-specific equations for ancient Greece and to explore the diachronic stature trends over the last 10,000 years. In parallel, it introduces the Logarithmic Human Stature Index (LHSI) as a new tool for inter-population comparisons. We collected anthropometric data and reconstructed stature using the anatomical method from 77 males and 59 females from Greece (3rd c. BC–9th c. AD). We utilized this dataset to generate population-specific equations. We then applied the new formula to 775 individuals (10th millennium BC–9th c. AD) from Greece exploring stature secular trends. We tested the new equations to different populations of European origin (662 males and 498 females). Ordinary least square sets based on lower limbs provided the best estimations with the smaller errors. Male and female stature in ancient Greece in the last 10,000 years ranged from 159.7 to 170.6 cm and from 153.1 to 160.4 cm, respectively. We observed a decrease from the Mesolithic to the Neolithic period, a gradual increase from the Bronze Age to the Archaic/Classical periods, and a steady increase from the Roman period onwards. Stature secular trends in Greece are in accordance with historic, archaeological, and genomic data and similar to European patterns. LHSI is a valuable tool for anthropometric comparisons between reference series and thus can contribute to the choice of the optimal stature estimation formula.

Age-at-Death Estimation: Accuracy and Reliability of Common Age-Reporting Strategies in Forensic Anthropology

Forensic anthropologists build a biological profile—consisting of sex, age, population affinity, and stature estimates—to assist medicolegal stakeholders in the identification of unknown human skeletal remains. While adult age-at-death estimations can narrow the pool of potential individuals, a lack of standards, best practices, and consensus among anthropologists for method selection and the production of a final age estimate present significant challenges. The purpose of this research is to identify age-reporting strategies that provide the most accurate and reliable (i.e., low inaccuracy and low bias) adult age-at-death estimates when evaluated considering the total sample, age cohort (20–39; 40–59; 60–79), and sex. Age-reporting strategies in this study were derived from six age-at-death estimation methods and tested on 58 adult individuals (31 males, 27 females) from the UTK Donated Skeletal Collection. An experienced-based estimation strategy was also assessed. A paired-samples t-test was used to determine whether there was a significant difference (p ≤ 0.05) between the mean estimated age and the actual age for all age-reporting strategies. Results show that the most accurate and reliable age-reporting strategy varied if the sample was evaluated as a whole, by age, or by sex. While none of the age-reporting strategies evaluated in this study were consistently the most accurate and reliable for all of the sample categories, the experience-based approach performed well for each group.

Stature and its Estimation Utilizing Hand and Foot Measurements in North Indian Population

Background: Stature estimation from body measurements is an important part of forensic and medico-legal cases especially in victim identifcation, where mutilated and amputated body parts are encountered at the crime scene. Hand and foot dimensions are the important features in context of stature estimation. The present study was conducted to find out the correlation of length and breadth of hand and foot in the stature of the North Indians. Methods: Anthropometric data from 413 males and 413 females were collected. Simple and multiple linear regression methods were used for estimation of stature from hand length, hand breadth, foot length and foot breadth measurements. Results: Statistically signifcant results (p &lt;0.001) are obtained with each measurement when the derived model is tested for stature estimation. Hand length in both sexes showed highest correlation with the stature whereas foot breadth showed the lowest. Multiple regression models showed low standard error of estimate (SEE). Conclusion: The results of this study showed that, from a forensic stand point, measurements of the hands and feet may be employed to estimate the stature of North Indian populations.

Regression equations for stature reconstruction from the lower limb bones of contemporary White South Africans

ABSTRACT In 2008, Dayal and colleagues generated regression equations to estimate the total skeletal height (TSH) of White South Africans. However, the validity of these equations has been questioned. The magnetic resonance imaging scanograms of 74 White South African adults were used to assess the reliability of these equations. The physiological lengths of the femur (FEPL) and tibia (TPL) were measured from these scans and input into the appropriate equations by Dayal and colleagues to calculate TSHD. Paired t-tests, mean differences (MD), and mean absolute differences (MAD) were used to compare TSHD with the measured TSH (TSHMeas) taken directly from the scanograms and ELS were compared with the measured stature (LSM) taken of participants prior to their scans. Although there were no significant differences between TSHMeas and TSHD for males and TSHMeas and TSHD(TPL) for females, all ELSL were significantly different to LSM, and the ELSC using the FEPL were significantly different to LSM. These significant differences and associated large MD and MAD conclude that the equations by Dayal and colleagues are no longer valid. New stature estimation equations were derived for the estimation of stature of White South Africans, characterized by strong correlations and low SEEs.

Stature Estimation from Finger Length by Regression Equation

Background: Estimation of stature from mutilated body parts, as in mass disasters and in many heinous crimes, has always intrigued the Forensic Pathologist and investigating agencies. Every part of human being grows in correlation to each other. Many authors have conducted various studies to find the correlation amongst various body parts and found positive correlation. The present study has correlated the length of all fingers with the stature of the individual. Methodology: The study was carried out on 150 healthy voluntary subjects (75 male and 75 female) of age 18-25 years. Instruments like Stadiometer and Vernier caliper was used for height and finger length measurements respectively. Result: Mean values of stature and finger length were larger in males as compared to females. Positive and strong correlation was found between stature and right index finger length in females and left middle finger length in males whereas right and left middle finger length in total subjects showed statistically significant correlation (P-value &lt; 0.05). Conclusion: The findings of the study can be useful only when an intact finger is examined. As very less information is available related to correlation between finger length and stature of individual, there is need of more research from different geographical locations.

Stature Estimation from Finger Length by Regression Equation

Stature Estimation from Finger Length by Regression Equation

Prediction of Stature Using Fingers' Lengths

Estimation of stature is of paramount importance in verifying the identity of an individual from the bodily remains, often after any kind of mass disaster, explosion, etc. This study aimed at predicting the stature of students using their finger’s lengths. A total number of 300 students (153 females and 147 males) of Madonna University, Nigeria, was evaluated, age ranging from 18 to 25 years. All the subjects had complete fingers. Stature was measured with stadiometer while Fingers lengths were measured using a straight line ruler, all in centimeters. The data were analyzed using SPSS (Statistical Package for Social Sciences), and the differences were tested using Z-test. The association between stature and Fingers Length was determined using Pearson chi-squared test. The results showed significant difference in the length of the fingers in both right and left hands of males and females respectively (p&lt;0.01). From the result the middle fingers ranked highest for both male and female while the little fingers ranked least. A good correlation was found between the right middle finger and the height in the females and between the left middle finger and height in males. This shows that as the height of females increases, the middle finger of the right hand also increases significantly compared to the left hand middle finger (p&lt;0.01), conversely, as males increase in height, their left hand middle finger tends to increase in length than the right hand middle finger (p&lt;0.01). Linear regression equation was derived to predict stature from the finger’s lengths for male and female respectively. It was observed that amongst all the fingers, the middle fingers right-females and left-males, tend to correlate better with stature than every other finger, and therefore have the possibility of predicting stature than other fingers.

ANTHROPOMETRIC MEASUREMENTS OF HAND LENGTH AND BREADTH FOR ESTIMATION OF STATURE.

Introduction: The estimation of stature is having a great clinical signicance along with other characteristics (age, gender, race, etc.). The estimation of individual's stature helps in forensic examination and in medico legal cases because it is the main priority to determine the biological prole of suspect. It also helps in assessment of body's growth and nutritional level. The present study aimed to estimate the Aims And Objectives: length and breadth of adult hands and determine the clinical signicance in estimation of body stature. Methodology:This observational study was conducted in the Department of Anatomy, Government Medical College, Jammu. A total of 200 adults were studied with the help of digital vernier calliper and stadiometer. The mean age of the study subjects were 21.38±3.29 ye Results: ars and the majority of the participants were females (52.5%). The female:male ratio was 1.1:1.The mean estimated stature / height of male and female subjects were 173.89±8.74 cm and 162.54±9.56cm respectively and mean actual stature / height of male and female subjects were 173.01±8.2 cm and 162.31±9.5cm respectively.It wasobserved that there was no statistical difference between mean values of estimated and actual length. It was concluded that the Conclusion: measurement of hand length and breadth is an appropriate measure of estimating the height of an individual as there is no signicant difference in estimated and actual stature

MORPHOLOGICAL STUDY OF ESTIMATED HEIGHT BY USING AVAILABLE FORMULA BASED ON TIBIAL LENGTH IN AN INDIVIDUAL.

Introduction: Skeleton is a source of information about a human being. In the anthropometric measurements height isthe most important parameter. The identication of individual by estimating the stature is done in mass calamities and helpsin medico – legal investigations. Tibial bone isthe most important weight bearing bone and situated medially in the lower limb of the body. The tibial length is highly correlated with estimation of stature. Methods:This prospective observationalstudy aimed to study the estimated height oftibia and to determine its clinicalsignicance.Results:Atotal of 200 subjects were involved, male female ratio was 1:1 and the mean age of male and female subjects were 19.37±3.58 years and 19.27±2.89 years respectively. The measured mean right tibial length of male and female subjects were 36.29±3.12 cm and 33.89±2.38 cm respectively and mean left tibial length of male and female subjects were 36.22±3.19 cm and 33.87±2.39 cm. Conclusion: The present study concluded that the accurate measurementoftibiallengthis agoodpossible choice toestimateordetermine theheight/stature inanindividual

Stature estimation using the sacrum in a Thai population.

Stature is an essential component of biological profile analysis since it determines an individual's physical identity. Long bone dimensions are generally used to estimate the stature of skeletal remains; however, non-long bones such as the sternum, cranium, and sacrum may be necessary for some forensic situations. This study aimed to generate a regression equation for stature estimation of the skeletal remains in the Thai population. Ten measurements of the sacrum were measured from 200 dry sacra. The results revealed that the maximum anterior breadth (MAB) provided the most accurate stature prediction model among males (correlation coefficient [r]=0.53), standard error of estimation (SEE=5.94 cm), and females (r=0.48, SEE=6.34 cm). For the multiple regression model, the best multiple regression models were stature equals 41.2+0.374 (right auricular surface height [RASH])+1.072 (anterior-posterior outer diameter of S1 vertebra corpus [APOD])+0.256 (dorsal height [DH])+0.417 (transverse inner diameter of S1 vertebra corpus [TranID])+0.2 (MAB) with a SEE of 6.42 cm for combined sex. For males, stature equals 63.639+0.478 (MAB)+0.299 (DH)+0.508 (APOD) with a SEE of 5.35, and stature equals 75.181+0.362 (MAB)+0.441 (RASH)+0.132 (maximum anterior height [MAH]) with a SEE of 5.88 cm for females. This study suggests that regression equations derived from the sacrum can be used to estimate the stature of the Thai population, especially when a long bone is unavailable.