Biological Identification of Skulls in Indonesian and Thai Populations: Ancestry Estimation, Sex Determination, Stature Estimation, and Age Estimation / Identificación Biológica de Cráneos en Poblaciones de Indonesia y Tailandia: Estimación de Ascendencia, Determinación del Sexo, Estimación de Estatura y Estimación de Edad

SUMMARY: 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.

Este artículo presenta una descripción general de los perfiles biológicos en las utilidades forenses. El perfil biológico del cráneo en la literatura existente puede ayudar a identificar a los humanos, especialmente si la condición en la que se encuentra la víctima es el resultado de una mutilación o la explosión de una bomba. Cuando se trata de la precisión en la identificación de restos óseos, el cráneo humano se cita con frecuencia como el primero en la estimación de edad y ascendencia y el segundo en términos de sexo y estatura. Puede ser una alternativa para evaluar los siguientes parámetros biológicos: sexo, edad, estatura y ascendencia. La implementación de perfiles biológicos en el proceso de identificación es importante considerando que algunos casos requieren la asistencia de la antropología forense. Este artículo de revisión muestra la importancia del valor de las cnezas óseas. El método que se puede aplicar es la craneometría para determinar el sexo, la edad, la estatura y la ascendencia estimada. Se pueden obtener diferentes resultados dependiendo de la integridad del cráneo. Por lo tanto, las fórmulas de estimación tienen resultados precisos diferentes. Se ha realizado un análisis de función discriminante en varios conjuntos de medidas y muchos investigadores han validado su poder discriminante. El análisis a través de la morfometría geométrica se ha convertido en la principal herramienta para el análisis de formas y se ha utilizado frecuentemente en el análisis de cráneos. También se han desarrollado varios métodos apoyados en la tecnología. Se espera que este trabajo muestre diferencias significativas en los resultados entre los estudios realizados en Tailandia e Indonesia, aunque pertenezcan al mismo grupo racial.

Estimation of Stature Based on Metatarsal Bones in a Thai Population / Estimación de la Estatura Basada en los Huesos Metatarsianos en una Población Tailandesa

SUMMARY: 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.

La estimación de la estatura es uno de los procedimientos esenciales para la identificación personal en osteología forense. Por lo tanto, los propósitos de este estudio fueron analizar la correlación entre la longitud y el ancho de las medidas metatarsianas y la estatura, y desarrollar las ecuaciones de regresión para una población tailandesa. Las muestras se dividieron en dos grupos. El primer grupo se denominó "grupo de entrenamiento" para generar ecuaciones de estimación de estatura, compuesto por 200 esqueletos, con edades comprendidas entre los 19 y los 94 años. El segundo grupo se denominó "grupo de prueba" para evaluar la precisión de las ecuaciones generadas, que comprende 40 esqueletos. La correlación entre los parámetros metatarsianos y la estatura fue de moderada a alta, y todas las variables tuvieron una correlación significativa positiva con la estatura. Para el sexo masculino, la variable longitud ML2 izquierda es la que mayor grado de correlación presentó con la estatura (r=0,702), y la izquierda MSW4 fue la variable ancho la que mayor grado de correlación presentó con la estatura (r=0,483). Para el sexo femenino, ML1 derecho fue la variable longitud que tuvo mayor grado de correlación con la estatura (r=0,632), y PW3 derecha fue la variable ancho estatura que tuvo mayor grado de correlación con la estatura (r=0,481). Para todas las muestras, ML1 izquierdo fue la variable longitud que tuvo mayor grado de correlación con la estatura (r=0,796) y PW3 derecha fue la variable ancho que tuvo mayor grado de correlación con la estatura (r=0,712). Los resultados de generar ecuaciones de regresión múltiple usando un método paso a paso revela que el coeficiente de correlación (R) y el error estándar de estimación (SEE) fueron 0,761 y 4,96 cm, respectivamente, para los hombres y 0,752 y 4,93 cm para las mujeres, con 0,841 y 5,26 cm para todas las muestras, respectivamente. De acuerdo con estos resultados, la media del error absoluto del grupo de prueba osciló entre 3 y 5 cm. Por lo tanto, las ecuaciones de estimación de la estatura que utilizan la longitud y el ancho de los metatarsianos de nuestro estudio se pueden aplicar para estimar la estatura en la población tailandesa.

Stature estimation from radiographic measurements in adult Anatolian population / Estimación de la estatura a partir de mediciones radiográficas en una población adulta de anatolia

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

RESUMEN: El propósito del presente estudio fue crear una ecuación de regresión para medir la estatura utilizando medidas obtenidas de las radiografías de huesos largos de individuos adultos en la población de Anatolia. En este estudio, las medidas de longitud máxima de los seis huesos largos en los miembros superiores e inferiores de 167 individuos sanos se determinaron a partir de imágenes radiográficas. Se crearon ecuaciones de regresión única y múltiple para predecir la estatura de los individuos a partir de la estatura ósea máxima. A partir de estas ecuaciones, se determinó el error estándar de estimación en el rango de 1,68 a 4,09 cm. Como resultado de este estudio, las ecuaciones de regresión obtenidas dieron resultados altamente confiables y exitosos en términos de predecir la estatura. Estas ecuaciones proporcionarán una precisión conveniente y predictiva en la estimación de la estatura a partir de restos óseos obtenidos de sociedades que vivieron y viven en Anatolia. Además, anticipamos que guiará a los investigadores que trabajan en los campos de Antropología Forense, Medicina Forense y Anatomía.

Sex and stature estimation from adult lumbar vertebrae in a Thai population based on image analysis / Estimación de sexo y estatura de vértebras lumbares adultas en una población Tailandesa basada en análisis de imagen

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

RESUMEN: Los métodos antropológicos de evaluación del esqueleto siguen siendo una herramienta importante en el proceso de identificación en las investigaciones médico-legales. El objetivo de este estudio fue desarrollar una ecuación de función discriminante para estimar el sexo y la estatura utilizando varias medidas de las vértebras lumbares en una población tailandesa. Se estudiaron 150 columnas lumbares (75 hombres y 75 mujeres) con un rango etario de 22 a 89 años del Centro de Investigación de Osteología Forense, Universidad de Chiang Mai, Tailandia. Las variables cuantitativas de sexo se analizaron mediante el análisis de función discriminante y la estatura fue calculada mediante regresión lineal. En cuanto a la determinación de sexo, la densidad de píxeles del eje mayor de superficie trabecular de la placa terminal superior de la primera vértebra lumbar fue de mayor precisión. La ecuación de regresión con variables cuantitativas en la estimación de la estatura describió el 32,3 % de la varianza total con el error estándar de estimación de 7,736 cm. Las vértebras lumbares se pueden utilizar como parte de la estatura y el sexo, estimando cuantitativa y cualitativamente los restos esqueléticos incompletos en sujetos tailandeses.

Arm span and hand length: Reliable indices of stature estimation

Introduction: Human height is a sexually dimorphic trait that can be estimated using various anthropometric indicators.Materials and Method: The study cohort which comprises of 500 (250 men and 250 women) healthy subjects who fall within theage range of 20 and 49 years, were selected randomly. Their standing stature, weight, hand length and arm span were measured.Results: Findings reveals that Height of male subjects was significantly (p<0.05) higher compared to that of females, the meanarm span values of male subjects were significantly (p<0.05) higher compared to that of females. Mean arm span values wasobserved to exceed stature. A strong positive correlation value of r=0.431 for males, r=0.747 for females was obtained in thisstudy between the height and arm span parameters. The mean hand length of males was significantly (p<0.05) higher compared tothat of the females. A strong positive correlation value between the height and hand length parameter r=0.093 for males, r=0.442for females was also obtained. A regression formula of height for males was Height=52.78 + (0.64) Arm span and for females,Height=61.2 + (0.59) Arm span was deduced. Conclusion: Arm span and Hand length are useful racial markers and will be ofclinical and forensic anthropological significance when dealing with the study population. This study shows that though both armspan and hand length can be used in estimation of the height of males and females, arm-span remains the most reliable. Theregression equations can be used in amputees or dead accident victims and can be applied in medicolegal issues with accurateresults.

Stature estimation from percutaneous length of ulna

Introduction: Height plays a vital role in establishing the identity of an individual. Anatomically, it is a linearcomposite of skull, vertebral column, pelvis and legs and is measured from vertex to foot. Many instances wheredirect measurement of height is impossible, necessitates an alternative methodology.Aim: As height is directly proportional to the length of long bones, my present study aims at deriving a regressionequation between height and percutaneous length of ulna in gender specific south Indian adolescent population.Materials and Methods: A total of 153 subjects (76 male and 77 female) with age span of 20 – 22 years wereincluded in this study. Length of ulna was measured using sliding Vernier caliper and height by standard heightmeasuring instrument for all subjects.Results:The findings of the study indicated significant differences of the ulna length between the genders. Apositive correlation between height and ulna length was observed in both sexes and it was statistically significant.Regression equations for stature estimation were formulated using the ulna lengths for both males and females.Conclusion: The ulna length provides an accurate and reliable means in estimating the height of an individual.The regression formulae proposed in this study will be useful for clinicians, anatomists, archeologists,anthropologists and forensic scientists when such evidence provides the investigator the only opportunity togauge that aspect of an individual’s physical description

Stature estimation in the South-East Asian population: A systematic review

@#Introduction: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. Materials and Methods: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. Results: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. Conclusion: The most widely used regression equations for stature estimation in SouthEast Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

Estimation Of Stature From Percutaneous Length Of Ulna In Living Subjects In Marathwada Region Of Maharashtra

Background: Estimation of stature plays an important role in medico-legal cases in the identification of unknownbodies, parts of bodies or even skeletal remains. There exists a strong relationship between stature and dimensionsof different body parts, particularly bone lengths, which forms the basis for stature estimation. Ulna bone isused as it is subcutaneous and hence surface landmarks such as olecranon and styloid process are easilyidentifiable and can be used for measurements.Materials and Methods: The present study was carried out on 300 medical students of Marathwada region of Dr.Shankarrao Chavan Government Medical College, Nanded, Maharashtra. Height and percutaneous ulna lengthwere recorded for each subject.Result: Mean height of male subjects is 171.99 ± 6.04. Mean of length of right and left ulna in male subjects are26.92 ± 1.30 and 26.85 ± 1.32 respectively. The mean height of female subjects is 165.49 ± 3.18. Mean of lengthof right and left ulna in female subjects are 21.77 ± 0.93 and 21.69 ± 0.88 respectively. The correlation of staturewith ulnar length is 0.66 in males and 0.70 in females, which are positive and statistically highly significant (P< 0.01).Conclusion: In Marathwada region of Maharashtra mean height and length of ulna is more in males than infemales and it is statistically significant. Simple linear regression equation so far derived can be used if eitherof the measurement of length of ulna or total height is known, the other can be calculated. This fact will be ofpractical use in Medico Legal investigations and in Anthropometry.

Analytical Review of the Forensic Anthropological Techniques for Stature Estimation in Korea / 체질인류학회지

Stature is one of the unique biological properties of a person, which can be used for identification of the individual. In this regard, statures are estimated for the unknown victims from crimes and disasters. However, the accuracy of estimates may be compromised by inappropriate methodologies and/or practices of stature estimation. Discussed in this study are the methodological issues related to the current practices of forensic anthropological stature estimation in Korea, followed by suggestions to enhance the accuracy of the stature estimates. Summaries of forensic anthropological examinations for 560 skeletal remains, which were conducted at the National Forensic Service (NFS), were reviewed. Mr. Yoo Byung-eun's case is utilized as an example of the NFS's practices. To estimate Mr. Yoo's stature, Trotter's (1970) femur equation was applied even though the fibula equation of a lower standard error was available. In his case report, the standard error associated with the equation (±3.8 cm) was interpreted as an ‘error range’, which gave a hasty impression that the prediction interval is that narrow. Also, stature shrinkage by aging was not considered, so the estimated stature in Mr. Yoo's case report should be regarded as his maximum living stature, rather than his stature-at-death. Lastly, applying Trotter's (1970) White female equations to Korean female remains is likely to underestimate their statures. The anatomical method will enhance the accuracy of stature estimates. However, in cases that the anatomical method is not feasible, the mathematical method based on Korean samples should be considered. Since 1980's, effort has been made to generate stature estimation equations using Korean samples. Applying the equations based on Korean samples to Korean skeletal remains will enhance the accuracy of the stature estimates, which will eventually increase the likelihood of successful identification of the unknowns.

Stature estimation from the average length of clavicle by using computed tomography-volume rendering technique images of Sichuan Hans population / 中国法医学杂志

Objective The purpose of this study is to estimate the body height of Sichuan Hans population by CT-VRT images of clavicle and to update the data of Stature estimation. Methods Three hundred individual CT-VRT images of clavicle were selected. The length of both side clavicles was measured and then the average clavicle length (ACL),the left clavicle length(LCL),the right clavicle length(RCL)was calculated as independent variable to establish the regression equations. The gender difference was tested by ANOVA and the correlation between the clavicle and the body height was tested by Pearson. Result The correlation between the ACL, LCL, RCL and the body height was normal in both genders (0.534 in male ACL and 0.707in female ACL; 0.484 in male LCL, 0.680in femaleLCL;0.523 in male RCL, 0.695 in female RCL). The test of accuracy showed MAD=4.48cm in the male ACL simple linear regression model and MAD=3.51cm in the female ACL simple linear regression model; MAD=4.60cm in the male LCL model, MAD=3.64cm in the female LCL simple linear regression model; MAD=4.49cm in the male RCL model, MAD=3.59cm in the female RCL model. Conclusion The regression equations derided from clavicle on the basis of CT-VRT images in this study can be used to estimate stature for Sichuan Hans population. But the R2 values were small, so it's better to combine other bone for stature estimation.

Advances in the research on the stature estimation of forensic anthropology / 中国法医学杂志

Stature is one of the important criteria to individual recognition. And it is always a focus in forensic anthropology. There are some new progresses studies in stature estimation in recent years. We review some studies in stature estimation published in domestic and foreign in the past six years, and find some progresses in stature estimation: (1) As the increasing average human stature, the stature estimation equation is needed to be corrected; (2) Gender, age, race and territory have a great influence to stature estimation. Thus when the study protocol designed, these influences should be considered; (3)The medical imaging technology, especially Computed Tomography, is becoming a new tool to infer stature estimation in forensic anthropology.

Reconstruction of femoral length from fragmentary femora / 대한해부학회지

The reconstruction of femoral length (FL) from fragmentary femora is an essential step in estimating stature from fragmentary skeletal remains in forensic investigations. While regression formulae for doing this have been suggested for several populations, such formulae have not been established for Ghanaian skeletal remains. This study, therefore, seeks to derive regression formulae for reconstruction of FL from fragmentary femora of skeletal samples obtained from Ghana. Six measurements (vertical head diameter, transverse head diameter, bicondylar breadth, epicondylar breadth, sub-trochanteric anterior-posterior diameter, and sub-trochanteric transverse diameter) were acquired from different anatomical portions of the femur and the relationship between each acquired measurement and FL was analyzed using linear regression. The results indicated significantly moderate-to-high correlations (r=0.580–0.818) between FL and each acquired measurement. The error estimates of the regression formulae were relatively low (i.e., standard error of estimate, 13.66–19.28 mm), suggesting that the discrepancies between actual and estimated stature were relatively low. Compared with other measurements, sub-trochanteric transverse diameter was the best estimate of FL. In the absence of a complete femur, the regression formulae based on the assessed measurements may be used to infer FL, from which stature can be estimated in forensic investigations.

Caveats in Using Trotter and Gleser's (1958) Asian Equations for Stature Estimation / 체질인류학회지

Trotter and Gleser's (1958) Asian equations have most frequently been used for stature estimation of Korean skeletal remains. However, limitations or caveats in using those equations have rarely been argued. This study reviews five issues frequently overlooked in applying the equations and interpreting the outcomes. First, Trotter and Gleser (1958) multiply the standard errors by 2 to obtain the 95% prediction interval (PI). However, there is discrepancy between their calculation and actual PIs, and thus correct method for PI calculation is recommended. Secondly, given the uncertainty about the tibia length measurement, there is a possibility that the tibia-related equations yield biased estimates. Thirdly, since a mathematical error was incorporated in the development process of the combined equations, caution should be taken. Fourthly, extrapolation may cause additional unexpected error in applying regression equations. Therefore, it is necessary to check if a target sample falls within the reference sample range prior to using the equations. Lastly, applying Trotter and Gleser's (1958) equations to female samples should be avoided because they produce highly biased estimates. The issues discussed in this study will contribute to reducing potential errors associated with application of these equations, and eventually enhancing accuracy of the final stature estimates. If errors are anticipated but unavoidable, discussions about the potential errors should be made to minimize misunderstanding about the outcomes.

Reconstruction of Total Length of Femur From its Proximal and Distal Fragments.

Aims and Objectives: To find out the correlation between maximum length of femur and its proximal & distal fragments. and to formulate regression equation for estimation of stature from maximum femoral length. Materials and methods: This study consists 50 femur (27 of right side & 23 of left side). The maximum length of femur, proximal (P1,P2,P3,P4) and distal (D1,D2,D3,D4) measurements was taken with help of osteometric board and by vernier calliper. Results: The correlation found in P1,P2,P3,P4, D1,D4 on right side femur and P2, P3, P4, D1, D4 on left side femur. The strongest correlation observed in the D4 on right femur and P2 of left femur. The result obtained were analysed and derived regression equation between maximum femoral length and its proximal and distal fragments. Conclusion: The positive correlation between maximum femoral length and its proximal and distal fragments and regression equations derived in this study helpful to estimate stature in Medico-legal investigations and in Anthropometry.

Carrea` s method application to estimate stature in individuals using teeth measures in brazilian population

AIM: The purpose of the present study was to evaluate a methodology to estimate the stature in orthodontically treated individuals using odontometric data obtained from digitalized 3-dimensional image. MATERIAL AND METHODS: The sample consisted of 46 Brazilian people from the southern of the country, aged between 22 and 37 years and divided into two groups; group 1 (control) composed by 24 individuals with no orthodontic treatment and adequate alignment of the six anterior mandibular teeth and group 2 (experimental) composed by 22 individuals with crowding of the anterior mandibular teeth before the orthodontic treatment (Group 2A) and after orthodontic alignment (Group 2B). The odontometric data was obtained from their digitalized cast models. Mathematical formulas were used to obtain the stature range between the minimum and maximum estimated stature. RESULTS: The descriptive analysis of the percentage of people with real stature within the estimated stature range showed an average between the right and left hemiarchs of 44%, 75% and 52% for groups 1, 2A and 2B, respectively. CONCLUSION: It was concluded that this method can be used for the stature estimation in orthodontically treated patients but as an auxiliary tool together with other methodologies.

Estimation of total Length of Humerus from Its Fragments in South Indian Population.

Aim: To obtain the lengths of the humeral segments and compare with total length of humerus in South Indian population, That helps in estimating the stature of individual using standard regression formulae and to compare these data with the study conducted in other countries for the use in forensic and archeological studies. Materials and Methods: 150 (75 left and 75 right) adult, fully ossified, dry and processed humerii were taken to analyze the morphometric details of the humeral segments which were measured using osteometric board and scale. The length of six different segments namely, from most proximal point in the head to most distal point of the circumference of the head (segment-1), from most distal point of the circumference of the head to the convergence of two areas of muscle attachment (segment-2),the convergence of two areas of muscle attachment to the deltoid tuberosity (segment-3), from deltoid tuberosity to upper margin of the olecrannon fossa (segment- 4), from upper margin of olecrannon fossa to lower margin of olecrannon fossa (segment-5), from lower margin of olecrannon fossa to most distal point on the trochlea (segment-6) and maximum length of humerus were measured to the nearest millimeter. Results: The values obtained in mm (mean±S.D) in total length of humerus segments -1,2,3,4,5 and 6 were recorded. The proportion of segments to the total length was also calculated which will help for the stature estimation using standard regression formulae. Conclusion: This study helps in forensic, anatomic and archeological fields in order to identify unknown bodies as well as for the orthopedic surgeons for the treatment of proximal and distal humerus fractures for their reconstruction in case of extensive damage to those parts of the humerus.

Validity of Stature-predicted Equations using Knee Height for Elderly and Mobility Impaired Persons in Koreans / 한국역학회지

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.

Body height estimation from the length of the thoracic segments of spine by digitalradiography in living body / 中国法医学杂志

Objective To establish the method of estimating the stature with the length of the thoracic segments of spine.Methods By applying technology of digital radiography(DR),the digital radiography of thoracic segments of 514 living subjects from the population of Han of Sichuan in China are obtained,their length of thoracic segments of spine also were measured from the radiograms and the body height of each subject was recorded.Linear regression analysis in grouping was done between the length of thoracic segments of spine and body height,and than the linear regression equations for stature estimation were produced based on the dimensions of thoracic segments.Results 7 regression equations were established from 7 groups(mixture between males and females,males,females,males between 20 and 45 years of age,males greater than 45 years of age,females between 20 and 45 years of age and females greater than 45 years of age).Each equation has been checked by analysis of variance of linear regression model and proved to be appropriate in statistic(P

Estimation of stature by length of stemal-pubisline and cerivial vertebrae-coccyx / 中国法医学杂志

Objective To study relationship between length of sterna-pubis line, cervical vertebrae-coc-cyx line and stature in West of Hubei Province. Methods 400 men and women were randomly chosen. Length of sterna-pubis line, length of cervical vertebrae-coccyx line and stature in every person were mea-sured, and all data analysesd by multiple linear regression analysis. Results we have estiblished Eight quadratic equation which stature was calculated via different sex and age groups. Significant difference was observed between the length of sterna-pubis line, and cervical vertebrae-coccyx line and the stature in age group of 18-40. Yet nosignificant difference was seen over 41 and this method must be used with care. Conclusion These equations can be used to determine the stature of Chinese adults.

Estimation of the Chinese females from the lumbar vertebrae / 中国法医学杂志

This study was made in order to esablish the method of the stature estimation of Chinese fe- males by measurement of the lumbar vertebrae.10 measurements for 37 lumbar vertebrae form Chinese fe- males of known age and stature were measured by the anthropometry.The analysis of the correlation be- tween the measurement results and the stature as well as the regression equations were made with the SPSS soft wear.The regression equations for the stature estimation of the Chinese females were as followsL1-5. L_1:Y= 592.010+0.161X_1+16.596X_2+13.922X_4+3.428X_5;r=0.751;s=45.0171.L_2:Y=641.280+19.733X_2- 0.420X_5+9.981X_6;r=0.698;s=48.2804.L_3:Y=516.200+26.079X_2+8.081X_6;r=0.758;s=43.3508.L_4:Y =1071.436+11.1133X_5;r=0.497;s=56.0890.L_5:Y=1111.890+4.17820X_5+10.335X_9;r=0.606;s= 53.3158.The regression equations can be used for the stature estimation of Chinese females.