Prediction Of Stature Research Articles

Stature prediction from Anthropometric Feet Dimensions: A Study of Relationship

Stature prediction from Anthropometric Feet Dimensions: A Study of Relationship

Regression equations for the estimation of stature and body mass using a Greek documented skeletal collection

Body size is an important variable in bioarchaeological and forensic studies, making the accurate calculation of stature and body mass imperative. Given that anatomical and morphometric approaches offer accurate results but require a particularly good preservation of the skeletal material, whereas mathematical and mechanical methods are more easily applicable but they are largely population-specific, the present paper uses a ‘hybrid’ approach in order to generate regression equations for the prediction of stature and body mass in a modern Greek sample. Specifically, anatomical and morphometric methods were used to calculate the stature and body mass of the individuals and regression equations using the Ordinary Least Squares and Reduced Major Axis methods were generated with long bone lengths and femoral head breadth as predictors. The obtained equations exhibit low random and directional error and perform better than existing equations designed using different samples from the United States, Europe, and the Balkans. Therefore, these equations are more appropriate for modern Greek material.

Estimation of stature from hand and handprint measurements in Iban population in Sarawak, Malaysia and its applications in forensic investigation

Handprints and dismembered hands are commonly found during crime scene investigations and disaster victim identifications, respectively. It has been indicated that the accuracy of handprint and hand measurements for estimating stature maybe population specific. Since Iban is the largest ethnic population in Sarawak, Malaysia and because the application of anthropometry of hand and handprint within this population as well as other populations within the Southeast Asian countries remain unreported, this present study that investigated the reliability and accuracy of these two anthropometric aspects acquires forensic significance. Upon measuring the height, 21 measurements were recorded on each hand and the corresponding handprint of 50 male and 52 female consented adult Iban subjects. Using univariate statistics as well as simple and multiple regression analyses, interpretation of the measurements examined here was attempted. Results revealed that lengths of hand and handprint are the more reliable traits for estimating stature in both the male and female Iban subjects (p < 0.05) with correlation strength ranging from 0.60 to 0.76. Comparable to the established skeletal standards for hand, the stature prediction accuracy using hand and handprint measurements investigated in this research ranged between 4.29 and 5.78 cm. Hence, this research provided the first forensic standard for estimation of stature among the Iban population in Sarawak that may prove useful for crime scene investigations and disaster victim identifications in Malaysia.

Prediction of Stature from Arm-span Measurements in Undergraduate Students of College of Medical Science and Teaching Hospital, Chitwan.

Prediction of Stature from Arm-span Measurements in Undergraduate Students of College of Medical Science and Teaching Hospital, Chitwan.

Estimation of Stature from Anthropometric Dimensions of Hand and Foot in Egyptian Sample

Estimation of stature from incomplete or mutilated and decomposed skeletal remains has obvious importance in personal identification and considered as one of the “Big Four” parameters required to assist in the identification of an individual. Hand and Foot prints are the most valuable clues and may be the only evidence that be available at the crime scene in the form of latent impressions and stature prediction from these prints may support stature estimation of suspects made by eye-witnesses. The aim of the present study is to analyze the anthropometric relationship between hand and foot dimensions with stature in Egyptian population sample. Measurements of stature, hand and foot dimensions were taken from 97 adults (55 males and 42 females) aged from 21 to 45 years following the standard technique. The results revealed that values of all the measurements are statistically significant higher in males than in females and the standard error of estimate (SEE) was lowest using the measurement of foot length (SEE ± 4.26-3.78 cm for males and females respectively) followed by hand length (SEE ± 5.14-3.94 cm for males and females respectively). Stature was significantly and positively correlated with all hand and foot dimensions while the foot length followed by hand length showed the highest correlation with stature which concluded that foot length and hand length are the most accurate measurements for estimating stature with high accuracy in both sexes.

Stature Prediction from Anthropometry of Extremities among Jordanians

Stature Prediction from Anthropometry of Extremities among Jordanians

Reliability of Foot Length in Prediction of Stature

Reliability of Foot Length in Prediction of Stature

Regression Equations for Stature Prediction in Nigerian Hausas, Igbos and Yorubas From Toe Length and Toe-Length Ratios

Introduction: Prediction of stature from different dimensions has considerable forensic value, not only for the identification of human remains but also in developing descriptions of suspects from evidence at scene of crime and in corroborating height estimates from witnesses. Aims and objectives: The present study deal with stature estimation from toe lengths and toe-length ratios among Nigerians. Methods: A total of 1574 adult Nigerians consisting of Hausas, Igbos, and Yorubas of equal sex were used in the study. Standard anthropometric methods were used to measure height (stature) and toe lengths (from big toe, 1T to the small toe, 5T for both right [R] and left [L] feet). Ten different toe-length ratios were also calculated. Data were analysed using SPSS version 23 (IBM®Armonk, New York, USA) and Minitab V17 (Minitab® Inc. State College, Pennsylvania) statistical software. Correlation regression model was used to estimate stature. Confidence level was set at 95%; as p-values ≤ 0.05 were considered significant. Results: The univariate regression analysis showed that the toe lengths were significantly positively correlated and estimates stature (P 0.05); therefore, there was no regression equation for such variables. Conclusion: This study estimated stature from toe length and toe-length ratios with the better prediction from the toe lengths. It was sex and ethnic specific therefore its usage in forensic investigation must be specific and peculiar to sex and ethnicity.

Study of Stature Estimation from Sternum Length in Adult Western Indian Population

Estimation of stature is an important objective in the identification of an individual from dismembered and skeletal remains in forensic osteology. Stature estimation, however, is a constantly changing target for forensic anthropologists because of the secular trends in stature, allometric changes in long bones, and the migration of world population. It’s a challenging task for forensic anthropologist or forensic medicine personnel to establish the identity of the dead, especially in mass disasters. The present research was hence, undertaken to study the correlation between stature and the length of the sternum. The present study was conducted in a tertiary care referral hospital and medical college in western India. The institutional clinical ethical committee has cleared the study protocol. Cadaver and sternum length was obtained from196 subjects. As we go from manubrium to total sternal length through mesosternum, the area under curve (AUC) goes on increasing. In the similar manner McFadden's Rho-square, Cox and Snell R-square, Naglekerke's R-square all have shown upward trend. The present study concludes that the length of the sternum is one of the reliable predictor of stature in the adult Western Indian population and can be used as a tool for stature estimation when better predictors of stature like the long bones of the limbs are not available during practical forensic case work involving examination of skeletal remains.

Regression equations for estimating stature from anthropometric measurements of foot length and breadth in adults of efik ethnic group in cross river state

INTRODUCTION: Estimation of stature is an important factor in forensic studies and occupies a foremost position in anthropometric research. The aim of the present work was to determine the reliability of foot dimensions in estimating stature in adult of Efik ethnicity in Cross River State. MATERIALS AND METHODS: The individuals comprised of 600 adult indigenes (300 males and 300 females) of Efi k ethnic group in Cross River State between the ages of 18–45 years. Student's t-test, Pearson's correlation, and Regression analysis were used to estimate the stature in the study population. RESULTS: Our results showed that stature in males had a mean value of 165.40 cm, whereas in females, it was 161.67 cm. More so, foot dimensions studied showed sexual dimorphism. Foot length in male individuals was 25.30 cm, while in females, foot length measured was 23.48 cm. Furthermore, the mean foot breadth in males was 9.20 cm, while in females, foot breadth was 8.37 cm. Statistical analysis revealed that the difference in foot length and foot breadth between males and females was statistically significant (P CONCLUSION: Regression equations formulated showed that foot breadth was a better predictor of stature in males while foot length was more reliable in predicting stature in females of Efik descent. These findings will be of immense benefit to physical anthropology and forensic studies Kteuydwieos rodfs t:he study environment.

A Study of Prediction of Stature from Percutaneous Ulna Length

A Study of Prediction of Stature from Percutaneous Ulna Length

Estimation of stature from length of arm in adult population of Garhwal region of Uttarakhand, India

Objectives: Stature is defined as the distance between vertex and heel of an individual while standing erect. It can be assessed using dimensions of different body parts. It is an important anthropometric parameter for establishing the identity of a person, especially when fragmentary body parts are found. So the present study was aimed to find the relation between stature and length of arm of an individual and to formulate regression equations for estimation of stature from length of arm of adult population of Garhwal region of Uttarakhand.Methods: A cross sectional study was conducted in Garhwal region of Uttarakhand. A total of 400 healthy individuals (201 males and 199 females), aged 18-40 years were selected and their stature and length of arm measured. The data was analysed statistically. Correlation coefficient was determined and regression equations formulated. Coefficient of determination and Standard error of estimate were also calculated.Results: The mean stature was found to be 161.37cm9.00cm, mean length of right arm was 30.56cm2.07cm and mean length of left arm was 30.44cm2.07cm. A highly significant (p < 0.01) strong positive correlation was found between stature and length of arm. Regression equations were formulated.Conclusion: Length of arm showed a highly significant strong positive correlation with stature of adult population of Garhwal region of Uttarakhand. Thus the length of arm is a good predictor of stature of an individual. These finding will help Anthropologists and Forensic experts in estimation of stature from fragmentary body remains and thus to establish the identity of an unknown individual.

Estimation of stature by using the dimensions of the right hand and right foot in Han Chinese adults

The Han Chinese people are the main ethnic group in China and the largest ethnic group in the world. The dimensions of the hands and feet have been successfully used for the estimation of stature. A total of 26,927 healthy adult subjects, comprising 13,221 men and 13,706 women, were recruited. The survey samples were chosen through random cluster sampling. The mean values were significantly higher in men than those in women for all measurements (P<0.001). All the measurements showed a statistically significant correlation with stature (P<0.01). The combination of the right hand length and the right foot length was the best predictor of stature because it had the lowest standard error of estimate. The use of multiple regression equations yielded better results than did the use of linear regression equations. The accuracy of stature prediction ranged from ±4.81 to ±6.39 cm. The present study was of great importance with regards to improving the physical anthropology database of ethnic groups in China.

Estimation of height from measurement of foot breadth and foot length in adult population of Rajasthan

Background: Stature is one of the various parameters of identification of the individuality of a person. Estimation of stature from various measurements of the body is of value in medicolegal investigations as well as in anthropology. The current study dealt with developing a regression equation for stature estimation from foot breadth and foot length and to find out the correlation between stature, foot breadth and foot length. Material and Methods: The data was collected from 500 asymptomatic, healthy medical students (267 males & 233 females) belonging to Rajasthan of age group ranged between 17-25 years. The study was conducted at Jawahar Lal Nehru Medical College, Ajmer, Rajasthan. Results: The correlation between foot length and stature (r= 0.756) was more than foot breadth and stature (r= 0.624) indicating foot length to be a better predictor of stature. Linear regression equations were derived for estimation of stature from foot breadth and foot length. Conclusion: Both foot breadth and foot length showed positive correlation with stature as indicated by the regression coefficient (r). The tibialis foot type was commonest followed by fibularis and then by indeterminate type. Key words: stature; foot type; foot breadth; foot length; correlation

Estimation of stature and sex from scapular measurements by three-dimensional volume-rendering technique using in Chinese.

In order to develop population - specific discriminant function equations and stature prediction equations for predicting sex and stature from measurements of the scapula in a contemporary Chinese, 414 individual 3D CT images were collected from participants undergoing routine examination. Sex differences for the variables were tested by Student's t-test. Fisher's method has been followed for discriminant analysis. Regression analysis was applied to match the six linear parameters against stature. The stepwise analysis of all measurements yielded a sex classification accuracy rate of 86.7% and a sex bias of 3.1%. All the classification accuracy rates of the univariate discriminant function analyses are of more than 80%. For stature estimation, the accuracy of stature prediction ranged from 5.252 to 7.210cm for male, from 4.630 to 6.484cm for female, respectively. This paper provides indications that the scapula is an important bone for sex diagnosis and it could be effectively used as alternatives in forensic cases. Furthermore, the equations presented for stature estimation in this study should be used as alternatives in forensic cases when long bones were unavailable for stature estimation.

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.

Prediction of stature from hand length and breadth – anthropometric study on an adult Cross River State population

Introduction: Stature estimation occupies a relatively dominant position in anthropometric research. It is believed that standards for identifying skeleton differ from population to population and the method for one population may not be applicable for another population. Materials and Method: This study was carried out to determine the reliability of hand dimensions in estimating stature in an adult Cross River State population. The subjects comprised 1050 adult indigenes (540 male and 510 female) of Cross River State between the ages of 18 and 45 years drawn from the three senatorial districts South, Central, and North. Results: Stature in male had a mean value of 168.49 ± 5.53 cm whereas in females it was 162.99 ± 5.91 cm. Also, hand length in male subjects was 19.47 ± 2.00 cm while in females, hand length measured 18.35 ± 1.03 cm. In addition, the mean handbreadth in males was 8.47 ± 0.54 cm while in females, handbreadth was 7.91 ± 0.64 cm. Statistical analysis indicated that the difference in hand length and handbreadth between male and female was statistically significant ( P Conclusion: However, hand length was more reliable in estimating stature in both male and female subjects. These results will be of immense benefit to forensic studies and bioanthropology.

Estimation of Height from Measurement of Foot Breadth and Foot Length in Adult Population of Rajasthan

Background: Stature is one of the various parameters of identification of the individuality of a person. Estimation of stature from various measurements of the body is of value in medicolegal investigations as well as in anthropology. The current study dealt with developing a regression equation for stature estimation from foot breadth and foot length and to find out the correlation between stature, foot breadth and foot length. Material and Methods: The data was collected from 500 asymptomatic, healthy medical students (267 males & 233 females) belonging to Rajasthan of age group ranged between 17-25 years. The study was conducted at Jawahar Lal Nehru Medical College, Ajmer, Rajasthan. Results: The correlation between foot length and stature (r= 0.756) was more than foot breadth and stature (r= 0.624) indicating foot length to be a better predictor of stature. Linear regression equations were derived for estimation of stature from foot breadth and foot length. Conclusion: Both foot breadth and foot length showed positive correlation with stature as indicated by the regression coefficient (r). The tibialis foot type was commonest followed by fibularis and then by indeterminate type. Key words: stature; foot type; foot breadth; foot length; correlation

Measurements of Hand and Foot – A Predictor of Stature in Adult Human Population of Uttar Pradesh

Measurements of Hand and Foot – A Predictor of Stature in Adult Human Population of Uttar Pradesh

Prediction of Stature Based on Upper Limb Measurements among Egyptian Population

Prediction of Stature Based on Upper Limb Measurements among Egyptian Population