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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

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. [ABSTRACT FROM AUTHOR]

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: Anthropometric studies have long recognized the relationship between body parts and overall human stature. The external ear, with its unique and relatively stable morphological features, presents a novel site for such investigations, particularly in forensic and anthropological research. Objective: This study aimed to explore the correlation between various external ear measurements and stature in the Bengalee population, to determine the utility of these measurements in estimating an individual's height. Methods: Employing a cross-sectional study design, 215 Bengalee medical students were measured for specific ear dimensions including length, width, and angles, along with stature. Linear regression analysis was utilized to assess the predictive value of these ear measurements towards estimating stature. Results: The analysis identified significant correlations between stature and several ear measurements such as ear projection from superaurale and tragion levels (EPRO_SU: p=0.033, EPRO_TRA: p<0.001), width of lobule (W_LOBULE: p=0.038), and distances from nasion to tragion (NAS_TRA: p<0.001), among others. The model's R square value of 0.855 indicated that up to 85.5% of the variation in stature could be predicted by these ear measurements. Conclusion: The study underscores the potential of external ear measurements as reliable anthropometric markers for stature estimation in the Bengalee population. These findings may have significant implications for forensic identification processes, suggesting a need for further research across different populations. [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.

The anatomical method is considered the most accurate stature estimation method, however, research has concluded that the soft-tissue correction factors associated with this method may be sex- and population-specific. Therefore, this study aimed to evaluate the applicability of these soft-tissue correction factors for the estimation of stature in White South African males. Magnetic resonance imaging scans of 30 White South African male volunteers, between 21 and 59 years of age, were used to collect skeletal measurements of bones that contribute to total skeletal height. The soft-tissue correction factors within the literature were subsequently applied to estimate the living stature of each individual. Paired t-tests were used to compare the accuracies of these estimates of living stature to the measured heights of the participants. Living stature was significantly underestimated using the soft-tissue correction factors of Fully (1956; 6.14 cm), Raxter and colleagues (2006; 4.80 cm), and Brits and colleagues (2017; 0.96 cm), and significantly overestimated by Bidmos and Manger (2012; 9.65 cm). Cloete's (2017) equation overestimated stature by 0.65 cm, however, this was not significant. These results suggest population-specific soft-tissue correction factors associated with stature estimation and, therefore, the newly derived stature estimation equations should be used to estimate stature of White South African males. [ABSTRACT FROM AUTHOR]

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]

Forensic anthropology can play an important role in the identification process. Besides determination of race, sex and age of the unknown individual, estimation of stature enhances the reliability of identification. It is easier to get those data when the whole body or the entire skeleton is available to the forensic anthropologist. However in cases of deliberate mutilation and disposal in parts, interference by wild animal and bomb blast by terrorist attack, recovery of the whole body or complete skeleton may not be possible. In those cases, in the forensic anthropologists have to give this opinion based upon the available supplied skeleton remains. Although approximate stature of the individual can be estimated from most of the long bones using either multiplication factors or regression formulae, studies on estimation of stature from clavicle are limited. In the past, Terry, Oliver and Thieeme have tried to estimate the stature of the individual from clavicle. So the present study is planned to determine the stature from clavicle. [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.

Worldwide and in South African Stone Age contexts, much research has been done on the relationship between stature of past populations and general well-being, as well as trends and patterns in stature through time. This research is aimed at collating and assessing all available stature and long bone data for Bantu-speaker individuals living in the South African Iron Age. Data for only 25 female and 32 male individuals, dating from circa AD 550 to AD 1823, could be found. In general, methods used to reconstruct stature were inconsistent and data were poorly reported. From the available data, no clear trends or patterns in stature through time could be observed and stature seems to be on a par relative to those of early twentieth century individuals. Recommendations are made as to which methods to use in stature estimations in this context. The data provided in this research can serve as reference material for future similar studies and can assist in interpreting individual stature estimations from bioarcheological research in the region. [ABSTRACT FROM AUTHOR]

This commentary evaluates the assertions presented in the documentary series Code of the Wild that the skeleton of a 7‐ft Manteño‐Huancavilca individual allegedly recovered in the Ecuadorian village of Julcuy serves as evidence that a population of individuals of considerable stature once inhabited the region. Given that an intact femur survived a flood that occurred in Julcuy during the rainy season of 2023, it was possible to implement the Trotter and Gleser technique to determine the individual's stature with precision. By analyzing the femur of this individual, the commentary demonstrates that the stature of the individual had been grossly overestimated. This commentary reinforces the significance of mathematical formulae devised to determine living stature as opposed to rudimentary field measurements. [ABSTRACT FROM AUTHOR]

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]

Stature estimation is one of the most basic and important methods of personal identification. The long bones of the limbs provide the most accurate stature estimation, with the femur being one of the most useful. In all the previously reported methods of stature estimation using computed tomography (CT) images of the femur, laborious manual measurement was necessary. A semi-automatic bone measuring method can simplify this process, so we firstly reported a stature estimation process using semi-automatic bone measurement software equipped with artificial intelligence. Multiple measurements of femurs of adult Japanese cadavers were performed using automatic three-dimensional reconstructed CT images of femurs. After manually setting four points on the femur, an automatic measurement was acquired. The relationships between stature and five femoral measurements, with acceptable intraobserver and interobserver errors, were analyzed with single regression analysis using the standard error of the estimate (SEE) and the coefficient of determination (R2). The maximum length of the femur (MLF) provided the lowest SEE and the highest R2; the SEE and R2 in all cadavers, males and females, respectively, were 3.913 cm (R2 = 0.842), 3.664 cm (R2 = 0.705), and 3.456 cm (R2 = 0.686) for MLF on the right femur, and 3.837 cm (R2 = 0.848), 3.667 cm (R2 = 0.705), and 3.384 cm (R2 = 0.699) for MLF on the left femur. These results were non-inferior to those of previous reports regarding stature estimation using the MLF. Stature estimation with this simple and time-saving method would be useful in forensic medical practice. [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]

Bone heat‐induced changes complicate osteometric stature estimation of human remains from forensic settings. The validity of current methods has not been tested to a great extent. Our aim was to determine how precise are stature estimations obtained from three different approaches, namely by using (i) Rösing's method (Rösing 1977), (ii) a 10% shrinkage correction factor (Strzałko et al. 1972) and (iii) chemosteometry (Gonçalves et al. 2020). For this purpose, pre‐ and post‐burned head measurements from the humerus, radius and femur were used. The sample comprised 46 human skeletons of known sex and age‐at‐death. These were experimentally burnt to maximum temperatures ranging from 700 to 1100°C (attained after 90–188 min) for other research purposes. Stature estimations were performed through measurements in both pre‐burned and burned bones using the three approaches and based on the method of Olivier and Tissier (1975). Mean absolute differences and the relative technical errors of measurements (TEM%) between the pre‐burned and the estimations were calculated. Absolute mean differences indicated that the chemosteometric approach allowed for potentially more precise stature estimations than the other two procedures. However, the TEM% was very low for all approaches (smaller or close to 1%), and stature estimations were thus well within the error margin reported by Olivier and Tissier (1975). Results suggest that the chemosteometric approach enables more accurate predictions of the actual heat‐induced shrinkage of each bone thus rendering more precise stature estimations. Nonetheless, the other procedures also provided quite reliable estimations although they require confirmation that the bone is calcined. [ABSTRACT FROM AUTHOR]

Antimeric lower limb length asymmetry is frequently noted when measuring human skeletal remains. As lower limb bones are often used to estimate stature from unidentified remains, the forensic anthropologist who notes a disparity must then determine which lower limb bone or bones will produce an estimate that most accurately and precisely captures the unknown individual's stature. To help forensic anthropologists make informed decisions when remains exhibit lower limb antimeric asymmetry, left and right femora and fibulae maximum lengths were analyzed from 78 DPAA‐identified individuals with measured statures. Results revealed 87.2% of individuals exhibited lower limb antimeric asymmetry, statistically significant differences between lower limb lengths, decreasing estimate accuracy when asymmetry increased, and that using a 99% prediction interval for disparities ≥5.0 mm nearly ensured documented measured stature would be captured. These findings were validated on independent samples of 20 adult males from the DPAA and 146 males and females from the Terry, Hamann‐Todd, and Bass Collections. Preliminary results were largely supported; however, the accuracy reduction with increasing asymmetry observed in the DPAA data was not replicated. Based on these findings, we encourage bilateral measurement taking to identify lower limb antimeric asymmetry, caution against combining bone lengths from opposite sides, and recommend using a 99% prediction interval when lower limb length antimeric asymmetry is ≥5.0 mm and if using the FORDISC 3 Trotter M Stats database. When C Stats or F Stats are used, the prediction intervals associated with these less homogeneous databases are large enough to absorb error due to antimeric asymmetry. [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.

Stature estimation from anthropometric measurements of hand and handprints may prove useful in forensic investigations. Since its accuracy may be population specific, and because a similar study on the monoethnic Maldivians in Maldives remains unreported, this current research that evaluates such an aspect merits forensic significance. Using stratified-random sampling, this current research examined the standing height, as well as 22 anthropometric measurements from each hand and handprints collected from consenting 191 male and 193 female Maldivians in Maldives. Univariate and multivariate statistical analyses were used for interpreting the anthropometric measurements and their association in estimating stature. The simple linear regression analysis provided significant (p < 0.05) moderate-highly correlated (range: 0.61-0.70) regressions for hand lengths of hands and handprints of Maldivians for accurate estimation of their stature. The accuracy of the estimated stature (Standard Error of the Estimate, SEE) observed here ranged between 3.82 and 5.76 cm. Stepwise multiple regression analysis provided improved accuracy to the equation (SEE: ±3.78-4.45 cm). The data gathered here are the first of their kind for the Maldivians and may prove forensically relevant in crime scene investigation and disaster victim identification, a pragmatic approach for estimating stature from forensic anthropological means. [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.