Search

Copyright of Egyptian Journal of Forensic Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Background Estimating stature is crucial information of biological profile analysis, especially for identifying skeletal remains. Measuring long bones is the most accurate method for estimating stature. However, when it is not possible to obtain long bones, alternative non-long bone components such as scapula may need to be used. This study developed the stature estimation model utilizing postmortem computed tomography (PMCT) based on scapular dimensions in the southern Thai population. Result Regression equations for stature estimation were developed using 13 scapular measurements obtained from PMCT scans of 201 cadavers (151 males, 50 females). For single linear regression, the combination of transverse and longitudinal scapular length (CTLSL) produced the lowest standard error of estimation (SEE) for males (5.688 cm) and the combined group (5.971 cm), while the combination of longitudinal maximum and longitudinal scapular length (CLMLSL) was best for females (6.333 cm SEE). Stepwise multiple regression analysis improved the accuracy of the combined and male equations, with SEE of 5.645 cm and 5.266 cm, respectively, using longitudinal maximum length (LML), length of axillary margin (LAM), and transverse scapular length (TSL) for the combined group, and LML, LAM, and the combination of all horizontal parameters (CAHP) for males. The female equation did not improve with multiple regression analysis. Conclusion The result of this study indicated that scapular measurements can be used to estimate stature in the southern Thai population, particularly when long bone measurements are not available.

Abstract Background Forensic anthropological examinations help in identification of unidentified human remains. This study aims to establish population-specific standards for age estimation from the sternal ends of left fourth ribs in the Nepalese population. A quantitative, observational study was conducted on 387 Nepalese deceased (106 females, 281 males) between November 2021 and March 2023. Left fourth ribs were collected, macerated and examined for the study. The variables examined included pit depth, pit shape, rim and wall configurations and rib phase. Results Pit depth significantly predicted age, β = 0.642, t(385) = 16.42, p

Background: Forensic anthropological examinations help in identification of unidentified human remains. This study aims to establish population-specific standards for age estimation from the sternal ends of left fourth ribs in the Nepalese population. A quantitative, observational study was conducted on 387 Nepalese deceased (106 females, 281 males) between November 2021 and March 2023. Left fourth ribs were collected, macerated and examined for the study. The variables examined included pit depth, pit shape, rim and wall configurations and rib phase. Results: Pit depth significantly predicted age, β = 0.642, t(385) = 16.42, p < 0.001. Pit depth also explained a significant proportion of variance in age, R2 = 0.41, F(1, 385) = 269.54, p < 0.001. The age estimates from pit depth stage were 7–36 (stage 0), 7–49 (stage 1), 16–51 (stage 2), 10–58 (stage 3), 22–70 (stage 4) and 32–81 (stage 5). Age estimates for pit shape were 17–20 (stage 0), 13–48 (stage 2), 15–55 (stage 3), 24–68 (stage 4) and 39–82 (stage 5). Age estimates for rim and wall configurations were 17–20 (stage 0), 13–47 (stage 2), 17–53 (stage 3), 24–68 (stage 4) and 40–82 (stage 5). Similarly, age estimates for rib phase were 17–20 (phase 0), 18–20 (phase 1), 13–46 (phase 2), 18–50 (phase 3), 23–60 (phase 4), 32–71 (phase 5), 50–76 (phase 6), 44–81 (phase 7) and 62–85 (phase 8). The study also examined the use of transitional analysis to develop posterior probability distributions for estimation of age using rib phases. Conclusion: This study found significant differences in the age estimates from previous studies and shows the importance of developing population-specific models for use in forensic anthropology. [ABSTRACT FROM AUTHOR]

Background: Studies on stature estimation models for North West Indian populations are limited. The present study attempts to develop stature estimation models for the Indian population using hand and foot dimensions. Materials and Methods: Hand and foot measurements of 280 individuals (140 males and 140 females) were recorded for the estimation of stature in the present study. The stature and nine hand and foot anthropometric measurements were obtained using standard methods and relevant landmarks. For bilateral and sex differences, independent and paired t-tests were used to statistically analyze the data. Results: The findings showed statistically significant sex differences (P < 0.05) in stature, foot, and hand measurements. However, there were no significant bilateral differences. The Pearson correlation coefficient assessed the association between stature and hand/foot measurements. All the studied parameters in both sexes demonstrated a statistically significant (P < 0.001) and strong positive correlation with stature. Males and females had the strongest correlation coefficients for right-foot length (r = 0.70) and right-hand length (r = 0.64), respectively. Each sex’s regression equations were calculated separately. Stature predictions were accurate to within 4.02–6.64 cm. Conclusion: Stature estimated from hand and foot measurements can help in personal identification by creating an individual’s biological profile. Morphological differences in feet and hands demonstrate the significance of developing ethnic group-specific models to determine stature. According to the study’s findings, the stature of a person belonging to the Indian subcontinent can be estimated using hands and feet for anthropological and forensic purposes.

Abstract Background For 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. Results It 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. Conclusions Our 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.

Background: For 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. Results: It 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. Conclusions: Our 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. [ABSTRACT FROM AUTHOR]

Background: Studies on stature estimation models for North West Indian populations are limited. The present study attempts to develop stature estimation models for the Indian population using hand and foot dimensions. Materials and Methods: Hand and foot measurements of 280 individuals (140 males and 140 females) were recorded for the estimation of stature in the present study. The stature and nine hand and foot anthropometric measurements were obtained using standard methods and relevant landmarks. For bilateral and sex differences, independent and paired t-tests were used to statistically analyze the data. Results: The findings showed statistically significant sex differences (P < 0.05) in stature, foot, and hand measurements. However, there were no significant bilateral differences. The Pearson correlation coefficient assessed the association between stature and hand/foot measurements. All the studied parameters in both sexes demonstrated a statistically significant (P < 0.001) and strong positive correlation with stature. Males and females had the strongest correlation coefficients for right-foot length (r = 0.70) and right-hand length (r = 0.64), respectively. Each sex's regression equations were calculated separately. Stature predictions were accurate to within 4.02-6.64 cm. Conclusion: Stature estimated from hand and foot measurements can help in personal identification by creating an individual's biological profile. Morphological differences in feet and hands demonstrate the significance of developing ethnic group-specific models to determine stature. According to the study's findings, the stature of a person belonging to the Indian subcontinent can be estimated using hands and feet for anthropological and forensic purposes. [ABSTRACT FROM AUTHOR]

Background: Determining adult height from clavicle length is an interdisciplinary endeavor intersecting forensic anthropology, medicine, and bioarchaeology. This method is pivotal in forensic investigations and anthropological research, offering insights into individuals' biological characteristics across various populations. Methods: A cross-sectional observational study was conducted over three years at SCB Medical College, Cuttack, Odisha, involving 100 healthy adult volunteers. Clavicle length and stature were measured, and demographic data including age, sex, and ethnicity were recorded. Statistical analyses, including correlation and multiple regression, were performed to explore the relationship between clavicle length and stature while adjusting for potential confounders. Results: The study found a significant positive correlation between clavicle length and stature (r = 0.62), with males exhibiting a slightly stronger correlation than females. Multiple regression analysis revealed clavicle length as a significant predictor of stature (β = 0.61, p < 0.001), with sex also contributing significantly to the model (β = 0.24, p = 0.003). Ethnicity and age did not significantly affect the relationship between clavicle length and stature within the sample. Conclusion: Clavicle length serves as a reliable indicator for estimating adult height, with implications for forensic identification and anthropological research. The study underscores the importance of population-specific equations for improving accuracy in height estimations. Recommendation: Further research should explore additional factors influencing the relationship between clavicle length and stature, such as nutritional status and geographical variations. Population-specific studies are warranted to enhance the applicability of clavicle-based stature estimation methods. [ABSTRACT FROM AUTHOR]

This review article will present an overview of biological profiles in forensic utilities. The biological profile of the skull in the existing literature can help to identify humans, especially if the condition of the victim found is a result of mutilation or a bomb explosion. When it comes to the precision of identifying skeletal remains, the human skull is frequently cited as being first in the estimation of age and ancestry and second in terms of sex and stature. It can be an alternative to assessing the following biological parameters: sex, age, stature, and ancestry. The implementation of biological profiles in the identification process is very important considering that some cases require the assistance of forensic anthropology. This review article shows the importance of the value of skulls. The method that can be applied is craniometry which can be used to determine sex, age, stature, and estimated ancestry. Different results will occur depending on the completeness of the skull. Therefore, estimation formulas have different accurate results. Discriminant function analysis has been performed on various measurement sets and its discriminant power has been validated by many researchers. Geometric morphometric analysis has become the main tool for shape analysis and many attempts have been made to use it in analyzing skulls. Several methods supported by technology have also been developed. It is hoped that the review article will show significant differences in results between studies in Thailand and Indonesia, even though they are in the same racial group. [ABSTRACT FROM AUTHOR]

Abstract Purpose Emergency surgical airway securing techniques include cricothyrotomy, puncture, and incision. While the instruments used for these methods vary in size, no index of laryngeal morphology exists to guide instrument selection. Therefore, we measured the morphology of the cricothyroid ligament in Japanese individuals and assessed its correlations with height. Methods This retrospective study used 61 anatomical practice specimens. The cricothyroid ligament of the laryngeal area was dissected, and a frontal image was recorded. Next, images of the midsagittal sections of the larynx and trachea were recorded. The width and height of the cricothyroid ligament were measured from the frontal images, and the depth of the larynx and the angle to the lower edge of the cricothyroid plate were measured from the mid-sagittal cross-sectional images. The height was estimated from the tibial lengths of the specimens and statistically analyzed for correlations. Results The width and depth were significantly greater in males. Overall, there was a slight correlation between the results of each laryngeal measurement and estimated height for all items. Conclusion The morphology of cricothyrotomy revealed that the width and depth of the laryngeal area varied according to sex. Moreover, the results also showed a correlation with the estimated height. Thus, it is important to predict the morphology of the laryngeal area and cricothyroid ligament by considering factors such as patient sex, weight, and height.

Purpose: Emergency surgical airway securing techniques include cricothyrotomy, puncture, and incision. While the instruments used for these methods vary in size, no index of laryngeal morphology exists to guide instrument selection. Therefore, we measured the morphology of the cricothyroid ligament in Japanese individuals and assessed its correlations with height. Methods: This retrospective study used 61 anatomical practice specimens. The cricothyroid ligament of the laryngeal area was dissected, and a frontal image was recorded. Next, images of the midsagittal sections of the larynx and trachea were recorded. The width and height of the cricothyroid ligament were measured from the frontal images, and the depth of the larynx and the angle to the lower edge of the cricothyroid plate were measured from the mid-sagittal cross-sectional images. The height was estimated from the tibial lengths of the specimens and statistically analyzed for correlations. Results: The width and depth were significantly greater in males. Overall, there was a slight correlation between the results of each laryngeal measurement and estimated height for all items. Conclusion: The morphology of cricothyrotomy revealed that the width and depth of the laryngeal area varied according to sex. Moreover, the results also showed a correlation with the estimated height. Thus, it is important to predict the morphology of the laryngeal area and cricothyroid ligament by considering factors such as patient sex, weight, and height. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Stature estimation is one of the essential procedures for personal identification in forensic osteology. Therefore, the purposes of this study are to analyze the correlation between length and width of metatarsal measurements and stature, and to develop the regression equations for a Thai population. In this study, the samples were divided into two groups. The first group was called the "training group" for generating stature estimation equations, comprised of 200 skeletons, aged between 19-94 years. The second group was called the "test group" for evaluating the accuracy of generated equations, comprising 40 skeletons. The correlation between metatarsal parameters and stature were moderate to high, and all variables had positive significant correlation with stature. For males, the left ML2 is the length variable that showed the most correlation degree against stature (r=0.702), and the left MSW4 is the width variable that had the most correlation degree against stature (r=0.483). For females, right ML1 is the length variable that had the most correlation degree against stature (r=0.632), and right PW3 is the width stature that had the most correlation degree against stature (r=0.481). For all samples, left ML1 was the length variable that had the most correlation degree against stature (r=0.796) and right PW3 was the width variable that had the most correlation degree against stature (r=0.712). The results of generating multiple regression equations using a stepwise method reveals that the correlation coefficient (R) and standard error of estimate (SEE) were 0.761 and 4.96 cm, respectively, for males, and 0.752 and 4.93 cm for females, with 0.841 and 5.26 cm for all samples, respectively. According to these results, the mean of absolute error from the test group ranged from 3 to 5 cm. Therefore, stature estimation equations using length and width of metatarsals from our study can be applied to estimate stature in the Thai population. [ABSTRACT FROM AUTHOR]

Trotter and Gleser presented two sets of stature estimation equations for the US White males in their 1952 and 1958 studies. Following Trotter's suggestion favouring the 1952 equations simply due to the smaller standard errors, the 1958 equations have been seldom used and have gone without additional systematic validation tests. This study aims to assess the performance of the Trotter and Gleser 1952, Trotter and Gleser 1958, and FORDISC equations for the White males in a quantitative and systematic way, particularly when applied to the WWII and Korean War casualties. In sum, 27 equations (7 from the 1952 study, 10 from the 1958 study, and 10 from FORDISC) were applied to the osteometric data of 240 accounted-for White male casualties of the WWII and Korean War. Then, the bias, accuracy, and Bayes factor for each set of stature estimates were calculated. The results show that, overall, Trotter and Gleser's 1958 equations outperform the 1952 and FORDISC equations in terms of all three measures. Particularly, the equations with higher Bayes factors produced stature estimates where distributions were closer to that of the reported statures than those with lower Bayes factors. When considering Bayes factors, the best performing equation was the "Radius" equation from the 1958 study (BF = 15.34) followed by the "Humerus+Radius" equation from FORDISC (BF = 14.42) and the "Fibula" equation from the 1958 study (BF = 13.82). The results of this study will provide researchers and practitioners applying the Trotter and Gleser stature estimation method with a practical guide for equation selection. Key Points 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. [ABSTRACT FROM AUTHOR]

Identification of an individual is considered one of the fundamental challenges for forensic scientists, especially from dismembered and mutilated body parts. To limit the pool of conceivable suspects in the forensic investigation process, footprints and foot outlines found at the crime scene are used to ease estimation of stature. The current study aimed to estimate individual stature using foot, foot outline and footprint measurements in a Saudi Arabian population. A descriptive cross-sectional study was carried out on two hundred healthy medical students from the Faculty of Medicine at the University of Tabuk in Saudi Arabia. Stature measurements and eight foot, foot outline and footprint measurements were taken from both sides. Saudi adult males were significantly taller than Saudi females. All measurement values were significantly higher in adult males than in adult females. Most measurements were considered to be positively correlated with stature in both sexes. Regression equations and multiple regression equations for stature determination from all measurements in both male and females on both sides were created. This study has demonstrated the reliability and utility of foot, foot outline and footprint measurements in stature estimation in a Saudi Arabian population that comparable standards developed from foot bones.

Biological bodily integrity is often lost in deaths due to undesirable situations such as femicides, natural disasters and plane crashes. For forensic scientists, accurate estimation of the person's stature is important for identification. In our study, it was aimed to obtain simple and multiple linear regression formulas required for stature calculation from hand and finger morphometric measurement values of young women. This study was carried out with the voluntary participation of 65 healthy young adult women between the ages of 18-24. Measurements were made on the palmar side of the hand using a digital caliper. In the study participants, the mean values of the measured variables; stature 164.45 cm, hand length 17.40 cm, hand width 7.70 cm, palm length 9.92 cm. Simple and multiple regression equations were obtained for stature estimation. The most reliable one of the regression equations obtained for stature estimation was the equation based on hand length. There was no correlation between thumb length and stature. The correlation value between index finger and stature was greater than the values obtained from other fingers (r=0.344, p<0.01). The correlation value between palm length and stature was higher than the correlation value between fingers and stature (r=385, p<0.01). Moderate and high positive correlation values were found between finger lengths and each other. The highest correlation value was between middle finger length and 4th finger length (r=872, p<0.01). The correlation value between thumb and little finger lengths was the smallest (r=415 p<0.01). The correlation value between hand length and stature is higher than the values obtained from finger lengths. In cases where total hand length cannot be measured, linear regression formula based on palm length should be preferred. Regression analysis results showed that palm length gave a better estimation of stature compared to finger length measurements. [ABSTRACT FROM AUTHOR]

Abstract Background Virtual anthropology in estimating stature through multislice computed tomography scanning is important for forensic cases and mass disasters. Regression formulae generated directly from other post-cranial skeleton parts can be applied for estimating stature. Literatures have revealed that scoring of pelvic shape in both sexes is significantly correlated with stature. Hereafter, this study aims to correlate the pelvic and sacral morphometric with stature based on sex and ancestry among the Malaysian population from the selected samples of 373 CT images at Kuala Lumpur Hospital. The three-dimensional pelvic girdles were first segmented from CT images through Mimics Research 17.0 software. Inter-landmark distances were measured with Microsoft 3D Builder and their respective indexes were computed. Results This study showed that the auricular lengths, ilium dimension and acetabulum were the most useful stature estimator at R > 0.5. The combination of pelvic parameters, sacral parameters and indexes had contributed to a higher R 2 value of the regression models. Conclusions Pelvic morphometric was generally a better stature estimator compared to sacral morphometric. The population-specific formula produced from this study should only be realistic within the Malaysian population. This helps to enhance the existing references for stature estimation especially when incomplete human remains are discovered.

Stature is the height of an individual in an upright position. It is one of the key characteristics, which helps in defining any individual. Stature estimation is needed mostly in medicolegal cases where only a limited number of human fragments are left for forensic analysis. The teeth provide essential measurements that can be used to determine stature. The aim of the study is to find out whether the second maxillary interpremolar distance can be used to effectively estimate stature of individuals. For the study, the sample size taken was 60 (30 male and 30 females), and their second maxillary interpremolar distance was measured using a digital vernier caliper. The collected data were tabulated and statistical analysis was done using SPSS software (23), followed by linear regression. For male: Y = 178.65 − 1.09X, correlation coefficient, r = 0.05, For female: Y = 169.30 − 1.99X, correlation coefficient, r = 0.13. Since r < 0.2, there is no correlation between the interpremolar distance of the second maxillary premolar and the stature. From our study, we conclude that the interpremolar distance of the second maxillary premolar cannot be a reliable parameter for stature estimation in both genders.

Stature estimation is an important process of biological profile analysis for the identification of skeletal remains. In forensic practice, non-long bones might be needed for estimating stature, in case long bones were not recovered or well preserved. This study developed the stature estimation model from dry sterna in a Thai population. The combined length of manubrium and mesosternum (CMM) was the best single stature estimation indicator for males and combined sex samples, whereas the sternal area (SA) was the best stature estimation indicator for females in our study. The best multiple regression analysis models of our study were stature equal 122.685+0.182 (CMM)+0.592 (intercostal length between the third and fourth ribs [ICL34]) with a standard error of estimation (SEE) of 6.134 cm for males, stature equal 130.676+0.005 (SA) with SEE of 5.370 cm for females, and stature equal 79.412+0.342 (CMM)+0.506 (corpus sterni width at first sternebra [CSWS1])+0.794 (ICL34) with SEE of 6.222 cm for unknown sex samples. The results indicated that a sternum can be used for estimating the stature of skeletal remains in a Thai population. However, these models might not be suitable for other populations, especially, in case the suspected stature is over the stature range in our study. [ABSTRACT FROM AUTHOR]

The estimation of stature is very important in forensic investigation, as it provides useful data that can narrow the pool of potentially matching identities. The purpose of this study was to develop formulae for the estimation of stature from footprint measurements in Bangladeshi adults. This study included 118 randomly selected men and 130 randomly selected women, all aged 18–50 years. From each participant, stature and six footprint measurements were taken by means of standard measurement techniques. Footprint measurements were found to be positively correlated with stature. Stature was estimated by using linear regression equations. The right T1 length in men (R: +0.587, R2: 0.345) and the right T2 length in women (R: +0.506, R2: 0.256) were the most reliable individual estimators of stature. However, when data were combined for both sexes, the right T2 length was identified as the most reliable estimator of stature, with higher values of R (+0.792) and R2 (0.627). In conclusion, human stature can be successfully estimated by using footprint measurements; this finding can be applied in forensic research and investigation. [ABSTRACT FROM AUTHOR]

Abstract 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.

The estimation of stature is very important in forensic investigation, as it provides useful data that can narrow the pool of potentially matching identities. The purpose of this study was to develop formulae for the estimation of stature from footprint measurements in Bangladeshi adults. This study included 118 randomly selected men and 130 randomly selected women, all aged 18–50 years. From each participant, stature and six footprint measurements were taken by means of standard measurement techniques. Footprint measurements were found to be positively correlated with stature. Stature was estimated by using linear regression equations. The right T1 length in men (R: +0.587, R2: 0.345) and the right T2 length in women (R: +0.506, R2: 0.256) were the most reliable individual estimators of stature. However, when data were combined for both sexes, the right T2 length was identified as the most reliable estimator of stature, with higher values of R (+0.792) and R2 (0.627). In conclusion, human stature can be successfully estimated by using footprint measurements; this finding can be applied in forensic research and investigation.

Abstract Background The evolution of virtual technology in estimating stature through multi-slice computed tomography scanning can be essential for mass disasters and forensic cases. Regression formulae were generated directly from other skeleton parts such as cranium, sternum, vertebrae, clavicle, scapula, sacrum, pelvis, hand and foot bones to estimate stature. Previous studies have shown that pelvic shape score is significantly associated and correlated with stature for both sexes. The sacrum as part of the pelvis is located between the two os coxae via a sacroiliac joint. As such, this study aims to correlate the morphological measurement of sacrum with stature based on sex and ancestry among the Malaysian population from a total of 373 sacral computed tomography (CT) images collected at the Kuala Lumpur Hospital. The three-dimensional sacrum bones were segmented from CT images using the Mimics Research 17.0 software. Inter-landmark distances were measured using Microsoft 3D Builder, and their respective indices were computed. Results The auricular lengths are the most comparatively useful stature estimator at R > 0.5 among all the sacral morphometrics that were investigated on in this study. Results from this study should only be applied within the Malaysian population (Malay, Chinese and Indian). Conclusion The results could enhance the existing database of stature estimation, especially when dealing with skeletal material from Malaysia and when long bones are unavailable for the identification of incomplete unknown human remains.

Stature estimation is widely used for individual identification in forensic field. Previous studies have proposed several regression equations derived from a single population for this purpose. However, this may not be suitable for other populations because of different hereditary and environmental conditions. In this study, stature estimation equations for southern China Han population have been provided. The study was conducted on a sample population of 121 men and women aged 18–25 years. A total of 19 parameters, including stature, head, torso, and parts of upper limbs and lower limbs, were measured according to standard anthropometric procedures. Herein, the anterior superior spine–malleolus medialis line showed the highest correlation coefficient (r = 0.817) and was the most reliable predictor (R2 = 0.667) in men, while the best predictor for women was total leg length (R2 = 0.746) with the highest correlation coefficient (r = 0.863). The regression analysis results via multiple predictors showed a high accuracy in stature estimation. Moreover, the analysis of multiple regression predictors showed that the dimensions of lower limbs were more reliable for stature estimation compared to head, torso, and upper limb measurements. This study provided equations of stature estimation for southern China Han population which can be useful in cases of dismembered body.

Stature is the height of an individual in an upright position. It is one of the key characteristics, which helps in defining any individual. Stature estimation is needed mostly in medicolegal cases where only a limited number of human fragments are left for forensic analysis. The teeth provide essential measurements that can be used to determine stature. The aim of the study is to find out whether the second maxillary interpremolar distance can be used to effectively estimate stature of individuals. For the study, the sample size taken was 60 (30 male and 30 females), and their second maxillary interpremolar distance was measured using a digital vernier caliper. The collected data were tabulated and statistical analysis was done using SPSS software (23), followed by linear regression. For male: Y = 178.65 − 1.09X, correlation coefficient, r = 0.05, For female: Y = 169.30 − 1.99X, correlation coefficient, r = 0.13. Since r < 0.2, there is no correlation between the interpremolar distance of the second maxillary premolar and the stature. From our study, we conclude that the interpremolar distance of the second maxillary premolar cannot be a reliable parameter for stature estimation in both genders. [ABSTRACT FROM AUTHOR]

The estimation of stature from bones plays an important role in identifying unknown bodies, body parts, or skeletal remains, as it is an important component of the biological profile in forensic identification. The objective of this study is to enhance the development of forensic anthropology in Romania by creating a new regression formula for stature estimation. This can be accomplished from the length of the tibia, taking into account sex and age, for the Romanian adult population. A total of 137 cases from a delimited territory of Romania were included in the study. The length of the tibia and the stature of the individuals were measured before autopsy. Statistical analysis was carried using (Statistical Package for the Social Sciences) SPSS 23. Tibia length showed a high correlation with stature for males, females, and the total sample. Four regression formulae were created for stature estimation of Romanian males, females, and unknown sex. The results of the analysis are impressive and have a good applicability in a forensic anthropological context. The data used in this paper provide reliable results with a large applicability in the future for estimating stature from the tibia length for the Romanian adult population. [ABSTRACT FROM AUTHOR]

Establishing the identity of an individual is the foremost criteria for law agencies, medicolegal experts and experts in forensic science to correlate evidences and find motive behind the crime. Forensic science has made an astonishing progress in the field of forensic science from blood grouping to D.N.A fingerprinting& Anthropometry to Dactylography. Nevertheless, the most commonly used tool for identification beyond the forensic laboratories still remains the same i.e. built, complexion, stature, colour of eye, mole, scar mark etc. Hence, the aim of this current study is to establish a relationship between the dimension of foot and stature estimation. The present study was conducted among 200 medical students, out of which 100 were male students and 100 were female students. All the students were between the age group of 20-30 years. The data was analyzed using S.P.S.S (I.B.M version 20, Armonk, NY, U.S.A). The regression analysis showed that there is significant correlation between the foot parameters and stature. [ABSTRACT FROM AUTHOR]

Background: Virtual anthropology in estimating stature through multislice computed tomography scanning is important for forensic cases and mass disasters. Regression formulae generated directly from other post-cranial skeleton parts can be applied for estimating stature. Literatures have revealed that scoring of pelvic shape in both sexes is significantly correlated with stature. Hereafter, this study aims to correlate the pelvic and sacral morphometric with stature based on sex and ancestry among the Malaysian population from the selected samples of 373 CT images at Kuala Lumpur Hospital. The three-dimensional pelvic girdles were first segmented from CT images through Mimics Research 17.0 software. Inter-landmark distances were measured with Microsoft 3D Builder and their respective indexes were computed. Results: This study showed that the auricular lengths, ilium dimension and acetabulum were the most useful stature estimator at R > 0.5. The combination of pelvic parameters, sacral parameters and indexes had contributed to a higher R2 value of the regression models. Conclusions: Pelvic morphometric was generally a better stature estimator compared to sacral morphometric. The population-specific formula produced from this study should only be realistic within the Malaysian population. This helps to enhance the existing references for stature estimation especially when incomplete human remains are discovered. [ABSTRACT FROM AUTHOR]

Abstract Background The height of an individual in the upright posture is referred to as stature. The evaluation of the stature of an individual is an essential step in identification. Estimation of stature is commonly performed using the long bones as they positively correlate with the stature. The correlation between the dimensions of the skull, jaw and stature of an individual has been reported among specific populations. To date, only a few studies have correlated odontometric parameters with stature among populations. Teeth and oral structures can be used to estimate the stature of an individual. The objective of our study was to determine and establish a relationship to estimate the stature of individuals among three different Asian ethnicities using four odontometric parameters as a forensic tool. The Asian ethnicities chosen in our study were Malay, Indian and Chinese. The five parameters were the height of an individual, intercanine width, interpremolar width, arc length and mesiodistal dimension of the six anterior teeth. The height was measured with the individual standing upright and barefooted. The mesiodistal width of the anterior teeth was measured at the contact points; the intercanine and interpremolar widths were measured at the cusp tips from the left to the right quadrant; the arc length was measured at the middle one-third position of the crown from the right to the left canine. Results The results showed that out of the four odontometric parameters, only the arc length was significantly associated with the height of the individuals among the ethnicities chosen. Conclusion Thus, of the four selected parameters, the arc length may be helpful in the estimation of stature among the selected Asian ethnicities. Dimensions of the teeth can be used as an adjunct to other aids in estimating the stature of an individual and hence is a vital forensic tool.

Abstract Background and objectives Stature estimation is an initial and essential component of any medico-legal investigations. However, it becomes more challenging when only skull remains are available. So, the goal of this study is to assess stature estimation using cranial multi-detector computed tomography (MDCT) images in a sample of the Egyptian population. Methods This clinical study was conducted on 150 Egyptian subjects underwent cranium MDCT with age ranged from 21 to 60 years. The measurements used were maximum cranial breadth, minimum frontal breadth, upper facial breadth, bizygomatic breadth, orbital height, orbital breadth, parietal chord, bimastoidale, maximum cranial length, basion-bregma height, cranial base length, and basion-prosthion length. Results The results revealed that stature and craniofacial measurements of males were significantly higher than those of females, all measurements were significantly positively correlated with stature in pooled cases, but the correlation coefficient differs in separate sex. Simple linear regression for stature estimation showed that the least standard error of estimate (SEE) values for the regression equations obtained when using bizygomatic breadth in pooled cases (7.9 cm) and in males only (5.7 cm), while in females using parietal chord had the least SEE (6.8 cm). Using multiple and stepwise regression analysis reported lower SEE values than simple linear regression analysis. Conclusion On the basis of this study, it is concluded that the cranial measurements obtained from MDCT images have limited utility in stature estimation among Egyptians, but could be used as an alternative method in cases where the best predictors, such as long bones, are not available.

The purpose of the present study was to create a regression equation for measuring stature using measurements obtained from the long bone radiographs of adult individuals in Anatolian population. In this study, the maximum length measurements of the six long bones in the upper and lower limbs of 167 healthy individuals were determined from radiographic images. Single and multiple regression equations were created to predict the stature of the individuals from the maximum bone stature. From these equations, the standard error of estimate was determined in the range of 1.68-4.09 cm. As a result of this study, the obtained regression equations resulted in highly reliable and successful results in terms of predicting stature. These equations will provide convenient and predictive accuracy in the estimation of stature from skeletal remains obtained from societies that lived and living in Anatolia. Besides, we anticipate that it will guide researchers working in the fields of Forensic Anthropology, Forensic Medicine and Anatomy. [ABSTRACT FROM AUTHOR]

Background: Analyzing and identifying evidences found at crime scene plays a crucial role in apprehending the offenders and putting them behind bars. Stature Estimation has a significant importance when it comes to narrowing down the list of suspects. At various instances footprints are left behind at the crime scenes as vital evidence and can be utilised for generating the stature of the individual/s connected with the crime scene. Method: The present study focuses on female population belonging to Rajasthan. Major objective is to determine relation between foot dimensions and stature (n=111). Foot dimensions, mainly foot length and breadth were calculated using standard measurements method. The samples were statistically analyzed; regression equations were generated for length and width of left and right foot. Conclusion: The predicted R-squared values showed quite significant value of left foot being (0.09) and right foot being (0.04). SEE was calibrated through the regression equations. Width of both the left and right foot were found to be more significant measurements for estimating stature in Rajasthan Population. [ABSTRACT FROM AUTHOR]

The purpose of this study is to establish reliability of estimating stature from the foot dimensions in South Indian population. Volunteers aged above 18 years were recruited for the study and measured using standard measuring using standardized measuring equipment. Anthropometric measurements taken include stature,foot length, foot breath, navicular height and malleolar heights. Correlations,regression formula and linear regression equations derived for both male and female showed positive correlation coefficient between stature and foot dimensions. To conclude foot dimensions were correlated with stature and can be a better predictor of stature. [ABSTRACT FROM AUTHOR]

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, R2 = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R2 = 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 R2 (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. [ABSTRACT FROM AUTHOR]

For the identification of decomposed dead bodies and skeletal remains, estimation of stature is of utmost importance. In estimating stature from the percutaneous bone lengths or skeletal remains, regression analysis has been the method of choice. Technically, as the regression line is just the best fit to the data, the estimate of stature differs from the actual stature, and this difference is reported in terms of the root mean square error (RMSE). The estimate using regression analysis is probabilistic in nature and there is a confidence interval about the prediction. This interval is mostly not reported in various studies, neither are the probable errors in estimation. In the likelihood ratio approach, absolute “matching” or “identification” is not possible and therefore, only the quantitative strength of evidence (strength of association in the present context) is given.The sample for the present study comprised of 344 young adults (172 females and 172 males) residing in the Shimla city of Himachal Pradesh State of north India. The data have been generated from anthropometric measurements of seven percutaneous bone lengths besides stature. The present study reports the regression equations for stature estimation as traditionally calculated, but additionally, it signifies the determination of the confidence intervals of the regression line as well as the confidence intervals of the prediction of stature. The study also shows that for the likelihood ratio estimation, the regression analysis needs to be flipped, i.e. instead of using regression of stature versus bone length; the regression of bone length versus stature should be used.Practical application of finding the likelihood ratio of a recovered bone to be associated with two missing persons of known stature has also been discussed in the current study. This approach is further extended to a general scenario, where the likelihood of a person of known stature is evaluated with reference to any other person chosen at random from the relevant population. The likelihood ratios arrived at, have been found to be generally low, meaning that the strength of association of stature and percutaneous bone length is not very high, and combining likelihood ratios from different methods of personal identification may be needed.

Introduction: Stature is the height of a person in the upright posture. Based upon the principle that the various long bones correlate positively with stature, stature correlation to skull and jaw dimensions has been frequently reported among various populations. Objective: The study was conducted to investigate the possibility of predicting the height of an individual using selected odontometric parameters as a forensic tool. Materials and Methods: The study sample consisted of 100 randomly selected subjects. Measurements of maxillary intercanine width (IC), maxillary interpremolar width (IP), and mesiodistal width of six permanent maxillary anterior teeth (CW) were made directly on the subject by means of a digital vernier caliper. Height (H) of patients was measured with anthropometer. Results: Significant correlation was observed between height and maxillary IC width (P < 0.05), whereas correlation between height and the combined width of six anterior teeth as well as IP width was found to be nonsignificant. Conclusion: The maxillary IC width can be used successfully to calculate the stature of an individual from fragmentary remains.

Although molecular techniques evolved considerably in last years, anthropological methods of assessing skeletal remains, continues to be an important tool in the identification process in medico legal investigations. The objective of this study was to develop a discriminant function equation for estimating sex and stature using several measurements of lumbar vertebrae in a Thai population. We studied 150 lumbar columns (75 male and 75 female) age range of 22 to 89 years from the Forensic Osteology Research Center, Chiang Mai University, Thailand. The quantitative variables with sex were analyzed by the discriminant function analysis and that with stature were calculated using linear regression. The pixel density of the major axis of the trabecular surface of superior endplate of the first lumbar vertebra had the most accuracy in sex determination. The regression equation with quantitative variables in stature estimation described 32.3 % of the total variance with standard error of estimate of 7.736 cm. Lumbar vertebrae can be used as part of the stature and sex quantitatively and qualitatively estimating in Thais incomplete skeletal remains. [ABSTRACT FROM AUTHOR]

Forensic anthropology is an important scientific discipline that determines the ethnicity, sex, height and body type characteristics from human skeletal remains for the benefit of forensic medicine. One of the important tasks of forensic anthropology is to determine the stature of individual from their skeletal remains. Lower extremities are mostly preferred in estimating stature. The current study aims to develop regression formulae to estimate the entire length of the tibia in case a fragmentary tibia is found. The study was conducted on 148 tibiae excavated from the ancient city of Nicaea and are housed in the Department Anatomy, Faculty of Medicine, Bursa Uludağ University. In total, eighteen parameters were examined on the tibiae. SPSS 22.0 was used for the statistical analyses. The descriptive statistics of the tibiae were evaluated. Taking the correlations between proximal and distal morphometric traits of the tibia and the entire tibial length into consideration, regression formulae were developed to determine the entire length of the tibia. In this study, we evaluated that the morphometric characteristics of ethnic groups are different from each other and therefore the use of formulae determined for one group can increase the margin of error for other groups. In addition, we developed formulae that estimate the length of the entire tibia. We believe that the results of this study will be of great importance for both anthropology and forensic medicine. [ABSTRACT FROM AUTHOR]

Background: Stature estimation is one of the four pillars in the anthropological identification protocol. During this time, stature estimation uses long bones, but if no long bones are found, tooth dimensions begin to be examined as a tool in stature estimation. Purpose: The aim of this study was to be able to determine the percentage of success in using tooth dimensions to estimate height in the Mongoloid population in Indonesia, using the Carrea's Index method. Method: The study was carried out by measuring the dimensions of arch and chord, then put into the Carrea formula, the results were compared with actual height, then calculated the frequency of predictions of success and non-success, compared to gender, and quadrant side of jaw. Results: The results of predictions of success for both women and men on both sides of the mandibular were a successful prediction of 69.6% and a non-successful prediction of 30.4%. In each sex, the success rate was different for each side, without a statistically significant difference (right p value 0.186; left p value 0.713) using Chi-square test. The results of the Pearson Correlation Coefficient test have a positive correlation (p <0.05) indicating that there is a significant relationship between height and the results of height estimation obtained from tooth dimension measurements. Conclusion: Based on the successful rate of the Carrea's Index method in this study shows that the Carrea's Index method can be used in the Mongoloid population in Indonesia as a tool for human identification. [ABSTRACT FROM AUTHOR]

The sternum is of crucial significance while estimating body stature. Dwight, in the late 19th century, discussed potential use of the sternum for estimation of the stature. Various researchers have shown that the sternum may be of use in stature assessment merely when long bones are not obtainable. The study was conducted to analyse the correlation between the stature and various measurements of the sternum. The posterior curved length, length of manubrium, length of mesosternum and length of sternum were measured in 300 adult sterna. The mean length of a cadaver (Stature) was observed to be greater in males (162.34 ± 8.03 cm) as compared to females (156.53 ± 8.50 cm). A positive moderate correlation (R ranging from 0.332 to 0.647) was observed between various measurements of sternum with stature in both the genders. Sternal length shall be considered as a better parameter over other sternal measurements for estimating the stature. However the application for utilizing the sternum for stature estimation should be restricted to the population sample for and from which they have been developed. [ABSTRACT FROM AUTHOR]