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Establishing the identity of the deceased is the most important task for forensic anthropologists in forensic case-work involving unidentified human remains. In such cases, forensic anthropologists examine the remains to derive the biological profile of the deceased i.e. estimation of age, sex, stature, and ethnicity to narrow down the search of the missing. Dismembered remains are recovered in mass disasters such as train mishaps, airplane crashes, earthquakes, and terrorists' attacks or in homicidal cases where perpetrator intentionally mutilates the dead body to conceal the identity of the victim. Stature estimation is considered as one of the most important tasks when a mutilated foot is recovered in process of narrowing down the pool of possible suspects/victims. Allometry is the underlying principle for estimation of stature from foot dimensions. It has been learnt from the published literature that multiple regression models including more than one factor enhances the estimation accuracies. Among the various foot dimensions, foot length is the most frequent parameter used in the estimation of stature in forensic literature. In the present study, an attempt has been made to standardize the stature estimation models from various possible combinations of foot dimensions. For this purpose, 388 Jatt Sikh males aged between 18 and 30 years were recruited from various villages of Ludhiana district of Punjab State in Northern India. Stature, five foot length measurements, and two foot breadth measurements were taken on each subject. Linear and multiple regression models were derived for the estimation of stature from various foot measurements. The highest coefficient of determination and estimation accuracy (the least standard error of estimation S.E.E) was observed from T1 (R 2  = 0.397, S.E.E = 4.7109) when a single foot dimension was included in the model, (R 2  = 0.416, S.E.E = 4.6425) from (T1, T3) when two-foot lengths were taken, (R 2  = 0.418, S.E.E = 4.6426) from (T1, T3, T4) when three-foot lengths were included, (R 2  = 0.418, S.E.E = 4.6473) from (T1, T3, T4, T5) when four-foot lengths were included, and (R 2  = 0.418, S.E.E = 4.6531) when all the five foot lengths (T1, T2, T3, T4, T5) were included in the regression model. It has been concluded that multiple regression models provide more accurate results than linear regression models. However, inclusion of a factor having a weak correlation with stature in the regression model, decreases the accuracy of the model., (Copyright © 2018 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

Forensic casework from past-conflicts relies on the corrected historical Trotter data for stature estimation in Fordisc. For roughly 10 years', stature estimation using this data has produced point estimates for the tibia that are on average 1.25 inches less than the other long bones. This issue was identified after applying the equations derived from Fordisc to the USS Oklahoma commingled assemblage. Reevaluation of Fordisc revealed that a correction factor of 20 mm, instead of 10 mm, was mistakenly applied to the Trotter tibia data. Historical forensic anthropology reports written at the Defense POW/MIA Accounting Agency were utilized to identify that the overcorrection is isolated to Fordisc 3 with an error rate of 5% of known antemortem statures falling outside of the prediction intervals that relied on the tibia. Further evaluation of the Oklahoma sample indicates the 10 mm correction is still producing point estimates less than the other long bones., (© 2018 American Academy of Forensic Sciences.)

Stature and a further 8 anthropometric dimensions were recorded from the arms and hands of a sample of 96 staff and students from the Australian National University and The University of Newcastle, Australia. These dimensions were used to create simple and multiple logistic regression models for sex estimation and simple and multiple linear regression equations for stature estimation of a contemporary Australian population. Overall sex classification accuracies using the models created were comparable to similar studies. The stature estimation models achieved standard errors of estimates (SEE) which were comparable to and in many cases lower than those achieved in similar research. Generic, non sex-specific models achieved similar SEEs and R2 values to the sex-specific models indicating stature may be accurately estimated when sex is unknown. [ABSTRACT FROM AUTHOR]

Stature estimation is rarely attempted in sub-adults due to the general lack of available standards as a result of the dearth of sufficiently large sub-adult skeletal collections with known demographic information. To overcome this problem sub-adult research mainly relies on modern imaging modalities. In the current study Magnetic Resonance Imaging (MRI) scans were used to assess the use of the anatomical method for stature estimation in sub-adults. A total of 53 Black South African sub-adult males (n=24) and females (n=29) aged between 10 and 17 years participated in the study by voluntarily completing a full-body MRI scan. A stadiometer was used to measure living stature prior to all MRI scans. Skeletal elements that contribute directly to stature were measured from the MRI scans using OsiriX and summed to compute the total skeletal height. Total skeletal height was calculated using the diaphyseal, maximum and physiological long bone lengths and correlated to living stature using Pearson's correlations. Subsequently least squares regression equations were generated for the estimation of sub-adult stature. Results indicated strong, statistically significant positive correlations between living stature and total skeletal heights in sub-adult males, females and a combined sex sample. The regression equations were characterized by small standard error of estimates which are comparable to that reported for Black South African adults. Based on these results the anatomical method can be used to accurately describe living stature in Black South African sub-adults. This method is therefore encouraged as it will add valuable information when dealing with unknown sub-adult skeletal remains. [ABSTRACT FROM AUTHOR]

The anatomical method is considered the most accurate stature estimation method, but investigation has shown that it continuously underestimates stature. This underestimation is believed to be related to the use of universal soft tissue correction factors. Therefore, the aim of this study was to assess the accuracy of the soft tissue correction factors in a living population of Black South African females and to subsequently calculate a new soft tissue correction factor, specific for stature estimation in this population group. Thirty Black South African adult females voluntarily participated in this study and underwent a full body Magnetic Resonance Imaging (MRI) scan. Living stature was measured with a stadiometer and total skeletal height (TSH) was calculated from the MRI measurements. Stature was estimated from the TSH of each participant using Fully's (1956) [17], Raxter et al.'s (2006) [38] and Bidmos and Manger's (2012) [5] methods. Results indicated strong, statistically significant positive correlations between living and estimated statures, however, paired t-tests revealed that living stature was significantly underestimated using Fully's and Raxter et al.'s methods, while the method by Bidmos and Manger significantly overestimated stature. A lack of statistically significant correlations between soft tissue correction factors and the total skeletal height was found. Likewise, an absence of statistically significant correlations between age and the estimation error, with and without age adjustments were also observed. A new soft tissue correction factor, specific for stature estimation in Black South African females was calculated. The newly proposed regression equation presented improved stature estimation accuracies for this population group. [ABSTRACT FROM AUTHOR]

Height cannot always be measured directly, hence the need for height estimation formulae. This study presents two new linear regression equations for estimating height from tibial length among Maya populations. Body height and percutaneous tibial length were measured in two living Maya samples from the state of Yucatan, Mexico. The first sample comprises 100 adults (63 females and 37 males) from the community of Dzemul, (Group 1) and the second sample comprises 71 adults (26 females and 45 males) from the city of Mérida (Group 2). A linear regression model equation was then adjusted to estimate height from tibia length for each group. These models were then compared using 95% confidence intervals for the estimated variables. No differences were observed between the equations at this interval. Thus, both equations appear adequate for estimating body height from tibia length in contemporary Yucatecan populations. While the formula of Group 1 is applicable also to bioarcheological studies, the formula of Group 2 is more appropriate for studies in living populations., (Copyright © 2018 Elsevier GmbH. All rights reserved.)

Stature is a fundamental anthropometric character to trace the biological profile of a person. In some cases, when dismembered or mutilated bodies are discovered in a forensic context, it is essential to estimate stature from single districts of the body. Nevertheless, to date and worldwide, there are only few population-specific studies on stature estimation from leg length and none of them concerns modern populations in southern Europe. We attempted to fill this gap, focusing on the estimation of stature from the length of the tibia in a Mediterranean population (Italians). We carried out the current study on a sample of 374 Italian university students of both sexes (age range: 19.9-34.4). Both, actual stature and percutaneous length of tibia were measured and new equations were developed for stature estimation. We tested separate regression equations for each sex, as well as an equation for remains, whose sex is unknown. To assess their reliability, the equations were tested on a holdout sample of 30 individuals from the same population. Moreover, results of new specific linear regression equations were compared to others from the literature. We demonstrated that the newly proposed formulae (for males and combined sexes) and the ones by Olivier (for females) provided the most reliable estimations of stature for southern Europeans., (Copyright © 2018 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.)

The present study is an attempt to estimation of stature and sex from sacrum and coccyx measurements by multidetector computed tomography (MDCT) in a contemporary Chinese population. Nine measurements for every sacrum and coccyx were taken from CT image of 350 Chinese. The sample is composed of 190 males and 160 females with an average age of 55 and 50 years, respectively. Discriminant function was used in sex estimation and regression analysis was used in stature estimation from these two bones. The stepwise analysis of all measurements yielded a sex classification accuracy rate of 84.9%. The classification accuracy rates of the univariate discriminant function analyses are 58.3%-76.9%. For stature estimation, the accuracy of stature prediction ranged from 4.891 to 6.107 cm for male, from 4.474 to 5.606 cm for female, respectively. This paper provides indications that the sacrum and coccyx are important bones for sex estimation and they could be effectively used as alternatives in forensic cases when the skull and pelvis are unavailable. Furthermore, the regression equations presented in this study may be useful for forensic estimation of the stature of Chinese individuals, particularly in cases where better predictors such as the long bones are not available., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Identification of the dead is significant in examination of unknown, decomposed and mutilated human remains. Establishing the biological profile is the central issue in such a scenario, and stature estimation remains one of the important criteria in this regard. The present study was undertaken to estimate stature from different parts of the sternum. A sample of 100 sterna was obtained from individuals during the medicolegal autopsies. Length of the deceased and various measurements of the sternum were measured. Student's t-test was performed to find the sex differences in stature and sternal measurements included in the study. Correlation between stature and sternal measurements were analysed using Karl Pearson's correlation, and linear and quadratic regression models were derived. All the measurements were found to be significantly larger in males than females. Stature correlated best with the combined length of sternum, among males (R = 0.894), females (R = 0.859), and for the total sample (R = 0.891). The study showed that the models derived for stature estimation from combined length of sternum are likely to give the most accurate estimates of stature in forensic case work when compared to manubrium and mesosternum. Accuracy of stature estimation further increased with quadratic models derived for the mesosternum among males and combined length of sternum among males and females when compared to linear regression models. Future studies in different geographical locations and a larger sample size are proposed to confirm the study observations., (Copyright © 2018 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

The estimation of stature using foot and hand dimensions is essential in the process of personal identification. The shapes of feet and hands vary depending on races and gender, and it is of great importance to design an adequate equation in consideration of variances to estimate stature. This study is based on a total of 5,195 South Korean males and females, aged from 20 to 59 years. Body dimensions of stature, hand length, hand breadth, foot length, and foot breadth were measured according to standard anthropometric procedures. The independent t-test was performed in order to verify significant gender-induced differences and the results showed that there was significant difference between males and females for all the foot-hand dimensions (p<0.01). All dimensions showed a positive and statistically significant relation with stature in both genders (p<0.01). For both genders, the foot length showed highest correlation, whereas the hand breadth showed least correlation. The stepwise regression analysis was conducted, and the results showed that males had the highest prediction accuracy in the regression equation consisting of foot length and hand length (R 2 =0.532), whereas females had the highest accuracy in the regression model consisting of foot length and hand breadth (R 2 =0.437) The findings of this study indicated that hand and foot dimensions can be used to predict the stature of South Korean in the forensic science field., (Copyright © 2018 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

Stature estimation is an important step to create a biological profile for human identification of unknown individuals in forensic anthropological practice, and it is well known that the long bone length is highly correlated with this feature. The purpose of the present study is to develop formulae for height estimation, based on simple linear regression model for humerus, femur and tibia in Mexican contemporary population. Stature was taken in 56 males and 30 female corpses as well as maximum length of three long bones of the limbs after autopsy following the Menéndez et al. (2014) criteria, at the Facultad de Medicina (School of Medicine) of the Universidad Nacional Autónoma de México. Based on this data, equations for each sex and for the three long bones were developed, obtaining a highly significant (p < .001) linear regression models with correlation coefficients of r = 0.820 for female femur and r = 0.855 for male tibia. In this manner, the new formulae provide better and reliable results of stature estimation for the contemporary population of Mexico., (Copyright © 2018 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

Handprints and dismembered hands are commonly found during crime scene investigations and disaster victim identifications, respectively. It has been indicated that the accuracy of handprint and hand measurements for estimating stature maybe population specific. Since Iban is the largest ethnic population in Sarawak, Malaysia and because the application of anthropometry of hand and handprint within this population as well as other populations within the Southeast Asian countries remain unreported, this present study that investigated the reliability and accuracy of these two anthropometric aspects acquires forensic significance. Upon measuring the height, 21 measurements were recorded on each hand and the corresponding handprint of 50 male and 52 female consented adult Iban subjects. Using univariate statistics as well as simple and multiple regression analyses, interpretation of the measurements examined here was attempted. Results revealed that lengths of hand and handprint are the more reliable traits for estimating stature in both the male and female Iban subjects (p < 0.05) with correlation strength ranging from 0.60 to 0.76. Comparable to the established skeletal standards for hand, the stature prediction accuracy using hand and handprint measurements investigated in this research ranged between 4.29 and 5.78 cm. Hence, this research provided the first forensic standard for estimation of stature among the Iban population in Sarawak that may prove useful for crime scene investigations and disaster victim identifications in Malaysia., (Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

This letter to editor refers to a recently published research by Tharmar et al. entitled ‘Estimation of stature based on foot length of Malays in Malaysia’ (Aust J Forensic Sci 2011;43(1):13–26). In this letter, we intend to emphasize some essential issues related to techniques and methodology used in the study. [ABSTRACT FROM AUTHOR]

Stature estimation is an important component of the biological profile. Human crania are sometimes recovered in the absence of other skeletal material in forensic casework, and stature estimation equations using cranial measurements have not been developed for populations in the United States. Both simple and multiple regression equations for estimating stature were developed from standard cranial measurements taken from both a cranial CT dataset and the Forensic Data Bank, and the resulting equations were tested using a separate dataset. A weak to moderate correlation with stature was found for some of the measurements tested. Tests of the sex- and ancestry-specific equations and pooled sex equations produced accurate estimated stature ranges for most of the individuals in the test dataset, but large 95% confidence intervals (±14-16cm) for these equations can produce only an imprecise estimated stature range for an unidentified individual. Pooled ancestry equations also produced accurate estimated stature ranges for many of the individuals in the test dataset, but with even larger 95% confidence intervals (±18-20cm). The results of this study indicate that stature can be estimated using cranial measurements, but the resulting 95% confidence intervals produce stature ranges that are too broad to use in most forensic casework., (Published by Elsevier B.V.)

The biological profile, conducted by a forensic anthropologist, is necessary for severely decomposed or skeletonized remains. The biological profile consists of estimates of sex, age, ancestry, and stature. It is crucial to have a correct estimate of sex, as this designation will narrow down the search through missing persons reports by half (e.g., searching through NamUs). However, sex estimates can be population specific, necessitating accurate ancestry estimation. When estimates of age and stature are added, the search narrows further. If these estimates are incorrect, the unidentified human remains may never be identified. These biological profile components are estimated based on either metric or nonmetric methods (visual observation and recording of categorical data). While age is inherently nonmetric, stature is inherently metric. Estimates of sex and ancestry can take a metric or nonmetric approach. The purpose of this review article is to review metric methods in forensic anthropology (sex, ancestry, and stature), to provide general knowledge of why and how these metric methods work, and to highlight that estimates of sex, ancestry, and stature do not subscribe to a "one size fits all" model., Competing Interests: DISCLOSURES & DECLARATION OF CONFLICTS OF INTEREST The authors, reviewers, editors, and publication staff do not report any relevant conflicts of interest

Background: Stature is considered to be one of the "big fours" in forensic anthropology. Though Carrea's Index was published as early as 1920 it has not been validated in any other population apart from the Brazilians., Aim: The present study was conducted to validate Carrea's index in stature estimation in two different racial populations in India., Materials and Methods: The study was carried out in a sample of 100 persons comprising of 25 Aryan males, 25 Aryan females, 25 Dravidian males, and 25 Dravidian females in the age group of 18-30 years. The maximum and minimum stature of all individuals was estimated by Carrea's Index. The actual stature was measured by an anthropometer. The estimated stature was compared with the actual stature and percentage of success was calculated., Results: The Carrea's Index was found to be valid in predicting the stature of 80% Dravidian and 84% Aryan males, the difference being statistically insignificant (Fisher Exact test-0.16; P = 0.99). The stature of 76% of females in both Aryan and Dravidian races was successfully predicted by Carrea's index. Regression analysis showed that the minimum estimated height was more valid in estimating the stature of Aryan and Dravidian population., Conclusion: The validity to use Carrea's index in Aryan and Dravidian population was evaluated and found to be valid.

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 subjects (50 male and 50 female). Measurements of intercanine width (IC), interpremolar width (IP), mesiodistal dimension of six permanent maxillary anterior teeth (CW), and arch length (AL, canine to canine) were made directly on the subject. The data collected were subjected to statistical analysis and a linear regression formula was obtained against each odontometric parameter., Results: Highly significant correlation was observed between height and intercanine width, interpremolar width (P < 0.0001), whereas correlation between height and the combined width of six anterior teeth and arch length was found to be not significant. The linear regression equation using formula y = c + mx was obtained for each odontometric parameter and also for combined parameters., Conclusion: Hence the study concludes that the two odontometric parameters such as intercanine width and interpremolar width can be used successfully to calculate the stature of an individual from fragmentary remains.

Abstract: The aim of this article is to find a correlation between height and femur/skull measurements through Computed Tomography (CT) scans and derive regression equations for total skeletal height estimation in the Caucasian population. We selected 200 Caucasian patients from March 2010 to July 2011 who had to perform a CT scan for cancer restaging. The mean age is 64.5 years. Both sexes are represented by the same number of persons. Patients have executed a total body CT scan with contrast; once scan accomplished, we measured height through a digital scales. We analyzed CT scans of each patient, obtaining multiplanar reconstruction in sagittal and coronal planes with 1mm of thickness, and we measured 10 diameters of skull and femur. Then we performed a single and a multiple regression analysis considering the three diameters that better correlated with height. The skeletal diameters with the highest correlation coefficients with stature were femur lengths, length of cranial base (Ba-N), and distance from the posterior extremity of the cranial base to the inferior point of the nasal bone (Ba-NB). Although both femur and skull are skeletal segments used for stature estimation, in our sample femur gave stronger correlation with height than skull. h =35.7+1.48·BaN+2.32·BaNB+2.53·FEM and h =3.06·FEM+72.6 are the formulae that provided the most accurate stature assessment using multiple and single regression analysis respectively. [Copyright &y& Elsevier]

Abstract: Stature estimation is one of the four attributes of the biological profile obtained from human skeletal remains. The length of the long bones has been consistently used to estimate stature from regression equations, but these may be useless when dealing with fresh or decomposed mutilated remains. Until recently, there was no consistent assessment of the reliability of measurements of the sternum for stature estimation. The purpose of this paper is to test previously developed regression formulae for stature based on measurements of the dry sternum and to assess the reliability of measurements of the fresh sternum in estimating stature. The formulae developed by Menezes et al. and Singh et al. were applied to a sample of 5 known stature skeletons from the identified human skeletal collection curated at the National Museum of Natural History, in Lisbon, Portugal. Testing of these formulae showed that estimated stature confidence intervals do not allow discrimination between individuals with similar stature. The length of the fresh sternum was measured on a sample of 45 male individuals autopsied at the National Institute of Legal Medicine – North Delegation (Porto, Portugal). Cadaver length was regressed on sternum length and a simple linear regression formula was obtained. The regression model provided a 95% confidence interval of 13.32cm and a correlation coefficient of only 0.329. Compared to other studies, regression formulae based on the length of the sternum provided considerably larger standard errors than that based on long bone lengths. These results suggest that the length of the sternum has limited forensic value and relatively low reliability in estimating stature from mutilated human skeletal remains, either skeletonized or fresh. [Copyright &y& Elsevier]

Abstract: A sample (n =28) from the Terry Collection was selected to include only White males who were born and had their entire growth and development period before 1900 to assess the effects year of birth have on accuracy and precision when estimating stature. Using the computer application Fordisc 3.0, stature was estimated using the humerus, radius, femur, and tibia equations developed from White males born in the 19th Century and the 20th Century. The 19th Century White male equations did not consistently provide the most precise and accurate estimates of stature. The 20th Century equations provide results that were as good as or slightly better than the 19th Century equations for the humerus, radius and femur. The 20th Century equations provided notably better results for the tibia. There is a great deal of evidence that there are clear positive secular changes in most of North America in the last 100–125 years, but the division commonly advocated in a forensic context at the year 1900 has no positive effect on accuracy or precision when estimating stature. [Copyright &y& Elsevier]

Abstract: The ability to estimate accurately from known parameters is a fundamental aspect of science and is evident as an emerging approach in the area of footprints and stature estimation within the field of forensic identification. There are numerous foot dimensions that have been measured in the literature to predict stature with varying degrees of confidence but few studies have tried to link the strength of estimation to anatomical landmarks. Such an approach is utilised in this study which estimates stature from the right footprints of sixty one adult male and female UK participants. Static and dynamic footprints were taken from each volunteer using the ‘inkless paper system’. The prints were digitised and twelve length, width and angle measurements were chosen for the analysis. The highest correlations with stature were shown to be the heel to fourth toe print for the static group of footprints (r =0.786, p <0.01), and the heel to fifth toe print in the dynamic footprints (r =0.858, p <0.01). Collinearity statistics suggest the heel to fifth toe print length measurement is independent and not influenced by any other variables in the estimation of stature for the dynamic prints. Linear regression equations for this measurement presented the smallest standard error of estimate (SEE) and highest shared variance (R 2) of all included variables (SEE 4.16, R 2 0.74). Our study discusses a potential anatomical explanation as to why the lateral border of the foot and hence the impression it makes upon a hard surface, is a more stable indicator in the estimation of stature. The investigation recommends the use of Calc_A4 and Calc_A5 length measurements when estimating stature from footprint impressions. [Copyright &y& Elsevier]

Abstract: In stature reconstruction using Fully''s method, it is essential that a soft tissue correction factor be added to skeletal height in order to obtain an estimate of living stature. While some anthropologists consider Fully''s method to be the most reliable for stature estimation, others consider it to be inadequate as it seems to be underestimating living stature, possibly due to an error in the magnitude of Fully''s soft tissue factors. A recent study by Raxter and co-workers revised Fully''s technique and also presented a new “universally applicable” soft tissue correction factor. The present study examines the reliability of soft tissue correction factors of Fully and Raxter et al. on a living sample of indigenous South African males. The current study is based on data collected from 28 indigenous South African (ISA) male volunteers. Standing height of each subject was measured using a stadiometer. Fully''s method was used in the calculation of total skeletal height from a full body MRI scan of each subject. Subsequent analyses of the acquired data revealed that the previously derived soft tissue correction factors are not applicable to the studied sample, and why they are not applicable. The correction factors of Fully and Raxter et al. both significantly underestimate living stature in a living sample of indigenous South African males. Consequently, a new correction factor was calculated based on the prediction of living stature from TSH using regression analysis. [Copyright &y& Elsevier]

Abstract: Skeletal height estimation from regression analysis of eight sternal lengths in the subjects of Chandigarh zone of Northwest India is the topic of discussion in this study. Analysis of eight sternal lengths (length of manubrium, length of mesosternum, combined length of manubrium and mesosternum, total sternal length and first four intercostals lengths of mesosternum) measured from 252 male and 91 female sternums obtained at postmortems revealed that mean cadaver stature and sternal lengths were more in North Indians and males than the South Indians and females. Except intercostal lengths, all the sternal lengths were positively correlated with stature of the deceased in both sexes (P <0.001). The multiple regression analysis of sternal lengths was found more useful than the linear regression for stature estimation. Using multivariate regression analysis, the combined length of manubrium and mesosternum in both sexes and the length of manubrium along with 2nd and 3rd intercostal lengths of mesosternum in males were selected as best estimators of stature. Nonetheless, the stature of males can be predicted with SEE of 6.66 (R 2 =0.16, r =0.318) from combination of MBL+BL_3+LM+BL_2, and in females from MBL only, it can be estimated with SEE of 6.65 (R 2 =0.10, r =0.318), whereas from the multiple regression analysis of pooled data, stature can be known with SEE of 6.97 (R 2 =0.387, r =575) from the combination of MBL+LM+BL_2+TSL+BL_3. The R 2 and F-ratio were found to be statistically significant for almost all the variables in both the sexes, except 4th intercostal length in males and 2nd to 4th intercostal lengths in females. The ‘major’ sternal lengths were more useful than the ‘minor’ ones for stature estimation The universal regression analysis used by Kanchan et al. when applied to sternal lengths, gave satisfactory estimates of stature for males only but female stature was comparatively better estimated from simple linear regressions. But they are not proposed for the subjects of known sex, as they underestimate the male and overestimate female stature. However, intercostal lengths were found to be the poor estimators of stature (P <0.05). And also sternal lengths exhibit weaker correlation coefficients and higher standard errors of estimate. [Copyright &y& Elsevier]

Abstract: In the analysis of human skeletal or otherwise unidentifiable remains the assessment of sex is an initial vital element when rendering a biological profile. As such other aspects of the biological profile are sex-specific (e.g. stature and age) and cannot be successfully determined without this preliminary assessment. In addition, the estimation of stature is an essential parameter of the biological profile, which is often used to confirm or exclude presumptive identifications. The purpose of this study is to present newly developed local identification criteria for the estimation of sex from the postcrania and stature for Chileans. Linear discriminant functions were derived for the humerus and femur. Sexing accuracies of 87%, 86%, and 82% were achieved. Furthermore, new univariate predictive stature equations are presented using a Bayesian approach for the humerus, femur and tibia. [ABSTRACT FROM AUTHOR]

Abstract: Estimation of stature is an important parameter in identification of commingled, mutilated and skeletal remains in forensic examinations. Bilateral asymmetry is defined as the difference between the measurements of the left and right sides of the human body. While estimating stature from skeletal material as well as from body parts in forensic anthropology case work, asymmetry of the human body may result in erroneous estimates due to bilateral variations present in dimensions of the human body and bones. The purpose of the present study was to evaluate asymmetry in upper and lower extremity dimensions in a north Indian population and to see its effect on the estimation of stature from these dimensions. The study was based on a sample of right-handed 967 adult male Gujjars, an endogamous group of North India. Bilateral asymmetry was assessed in six limb dimensions i.e. total upper extremity length, upper arm length, forearm length, hand length, total lower extremity length and lower leg length using a paired t-test. The results indicated that statistical significant bilateral asymmetry exists in total upper extremity length, upper arm length, forearm length, total lower extremity length and lower leg length (p <0.01). Correlation coefficients of various dimensions of upper and lower extremities with stature were found to be highly significant (p <0.001). Regression equations were calculated for estimation of stature from these limb dimensions using both left and right sides. The study concludes that there is a higher possibility of obtaining erroneous results while estimating stature from those body dimensions which show statistically significant bilateral asymmetry when formula developed from one side is used on the other side. Although, there seems to be a little possibility of obtaining erroneous results while estimating stature from those body dimensions which showed statistically insignificant asymmetry, it is strongly recommended that the examiner must first identify the side to which the limb part or bone belongs to, and then apply the appropriate formula derived for that particular side. [Copyright &y& Elsevier]

Abstract: Stature can be considered one of the “big four” parameters to be ascertained within the biological profile in cases of forensic anthropology. However, the most reliable available methods for stature estimation require the preservation of the long bones, but since this is very often not the case, the development of alternative methods, based on distinct bones, is mandatory. Therefore, in the present work the reliability of the first two metatarsal bones in reconstructing stature is tested. The data consist of length measurements taken from the first two metatarsals removed from documented cadavers of known stature. The sample for this study consists of 220 metatarsals, namely 110 first metatarsals and 110 second metatarsals collected during the autopsies carried out in the National Institute of Legal Medicine in Portugal. The aim was to propose regression equations for the Portuguese population and test the formulae proposed by other authors to determine adult stature using metatarsal bones. We found that when estimating stature from measurement of the metatarsals, the best correlation was that obtained from the relationship with the maximum length of the 2nd metatarsal. The corresponding regression equation is as follows: S =790.041+11.689M2. [Copyright &y& Elsevier]

Abstract: Stature estimation from percutaneous body measurements forms part of forensic anthropological analysis for the purpose of identification. This study is aimed at modeling the stature on the basis of percutaneous tibial and/or ulnar length in human subjects comprising of Indo-Mauritian population. The study was conducted in the Department of Forensic Medicine and Toxicology, SSR Medical College, Mauritius on 180 young and healthy students comprising of 90 males and 90 females in the age group ranging from 18 to 28 years. The measurements were taken by using standard anthropometric instruments. It is remarked that tibial as well as ulnar length show a linear relationship with the stature, where stature is normally distributed. However, it is required to transform the measurements on stature to obtain appropriate regression equations. Moreover, since ulna and tibia are significantly correlated, it is recommended to use the sum of the ulnar and tibial length to estimate stature, in case both are available for an individual. Our regression models are sufficiently validated and highly efficient. [Copyright &y& Elsevier]

Abstract: Estimation of stature is considered as an important parameter in medico-legal and forensic examinations. When highly decomposed and mutilated dead bodies with fragmentary remains are brought for postmortem examination, it becomes difficult to identify the deceased. Sometimes, cephalo-facial remains are brought in for forensic and postmortem examination. In such a situation, estimation of stature becomes equally important along with other parameters like age, sex, race, etc. (the ‘Big Four’ of forensic anthropology). The present investigation attempts to estimate stature from various anthropometric measurements of cephalo-facial region of individuals belonging to an endogamous group in north India. The material for the present study comprises 996 adult male Gujjars of north India ranging in age from 18 to 30 years. Five cephalo-facial measurements were taken on each subject following internationally recommended standard methods and techniques. The results indicate that all the cephalo-facial measurements are strongly and positively correlated (p <0.001) with stature. The measurements of the cephalic region have strong correlation with stature than those of facial region. The regression analysis also showed that the cephalic measurements give better prediction of stature. The regression formulae were checked for their accuracy and reliability not only in the sample which was originally used for making these formulae (genetically disparate population, n =996) but also in a mixed population of north India (heterogeneous population, n =100). [Copyright &y& Elsevier]

Abstract: In forensic investigation difficulties are being experienced in the stature and gender estimation of bodies dismembered in mass destruction. So as to eliminate these difficulties, new methods are being developed. The aim of this study is to develop formulae for estimation of the stature and gender through foot measurements when necessary. For this purpose, the length, width, malleol height, navicular height measurements of the right and left foot as well as stature have been taken from the 249 subjects who are attending Medical Faculty of Dokuz Eylul University and School of Physical Therapy and Rehabilitation in Turkey. In males, stature and foot measurements were higher than in females, and the difference between the average measures was significant. The highest correlation was observed in the right and left foot length for female, male and study (mix-gender group) groups when stature and foot measurement relations were evaluated. The lowest correlation was observed in foot width for the right foot in all groups but, differed in left foot measurements for each group. Formulae were obtained by using multiple regression analysis for stature estimation and logistic regression analysis for gender estimation. As a consequence, whilst stature estimation formulae, depending on the gender, allow 9–10cm errors, those that are independent on the gender help make estimation with less than 4cm errors. Gender estimation formula can help determine the gender with 95.6% accuracy via right foot measurements, and 96.4% accuracy via left foot measurements. In population similar to our subjects, stature and gender estimation can be made by using foot measurements. [Copyright &y& Elsevier]

Stature estimation using a skeleton is important for the medicolegal investigation of unidentified human remains. The aims of this study were to identify a correlation between stature and measurements of the sternal medullary cavity using multidetector computed tomography (MDCT) and derive regression equations for stature estimation in the Japanese population. Measurements were conducted on 215 Japanese subjects (107 males, 108 females) who underwent postmortem computed tomography with subsequent forensic autopsy between May 2012 and January 2014. For assessment, MDCT cross-sections through the mid-point of the first costal facets were chosen. The length of a rising diagonal stroke from the bottom left to the top right of the sternal medullary cavity (RS) and the length of a falling diagonal stroke from top left to bottom right of the sternal medullary cavity (FS) were measured. Statistical analyses indicated that both RS and FS were positively correlated with stature regardless of sex. The correlations were stronger for males than for females. The correlation coefficients for RS were higher than those for FS, and standard errors of estimation calculated by regression analysis using RS were lower than those using FS regardless of sex. Measurement of the sternal medullary cavity using MDCT images may be a potentially useful tool for stature estimation, particularly in cases where better predictors such as long bones are not available., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

Objectives: This study aimed to establish a stature-predicted equation using knee height, and perform a clinical validation on a Korean population., Methods: Using nationwide data obtained from 'Size Korea 2004', a stature-predicted equation was drawn and cross validation was performed using knee height in 5,063 subjects (2,532 males, 1,785 premenopausal females, and 746 postmenopausal females) who were aged between 20 and 69 yr. The formula was then applied to an elderly group (7 males and 26 females) and a mobility-impaired group (25 males and 14 females) in a real clinical setting. A stature-predicted equation was estimated using knee height and age based on multiple linear regression analysis. Cross validation was performed using paired t-test, and validation using clinical data was performed using Wilcoxon signed rank test., Results: In three groups (males, premenopausal females, and postmenopausal females), a cross validation was performed for a stature-predicted equation which was drawn using knee height and age. There were no significant differences between recorded height and estimated height in the elderly group (mean difference±interquartile range (IQR): male 0.65±4.65 cm, female -0.10±3.65 cm) and the mobility-impaired group (mean difference±IQR: male -0.23±5.45 cm, female 1.64±5.36 cm)., Conclusion: If several limitations could be overcome, the Korean-specific equations using knee height drawn from this study could be applied to actual clinical settings with Korean elderly or mobility-impaired people.