Accuracy and Reliability of Total Body Mass Estimation Techniques from Stature and Bi‐iliac Breadth in Non‐Hispanic U.S. Whites from the Bass Donated Skeletal Collection

This paper tests the fidelity of a recent method that used the NHANES III dataset as a proxy to estimate total body mass from stature and bi‐iliac breadth in U.S. White males and females. The bi‐iliac breadths of 230 males and 152 females identified as non‐Hispanic U.S. White from the Bass Donated Skeletal Collection were measured, and along with stature from predonor paperwork, total body mass estimates were calculated and then compared to body masses recorded on predonor paperwork. Male and female samples were subdivided by body mass index (BMI [kg/m²]) categories established by the World Health Organization. Our results suggest that total body mass estimates can be accurately assessed provided that the individual is within 18.50 ≤ BMI ≤ 29.99 for White males and 18.50 ≤ BMI ≤ 24.99 for White females. Recommendations on how to report total body mass estimates are also presented.     

Estimation of Living Stature from Selected Anthropometric (Soft Tissue) Measurements: Applications for Forensic Anthropology

Abstract:  Estimation of living stature has obvious utility in the identification process. Typically, anthropologists estimate stature from the measurement of long bone length. This type of analysis is traditionally conducted on skeletonized or badly decomposed remains, so collection of the necessary bone measurements is relatively simple. As the role of anthropologists expands into medical examiner offices and mass fatality incidents, the analysis of fleshed bodies and body parts is a more common scenario. For stature estimation in these types of cases (e.g., analysis of body portions recovered from an aircraft crash site or from intentional dismemberment), the presence of soft tissue on the human remains would usually necessitate dissection to expose skeletal elements to derive metric data for stature estimation. In order to circumvent this step, this paper provides various formulae that allow for standard anthropometric (i.e., soft tissue) measurements to be used in place of skeletal measurements. Data were compiled from several anthropometric studies (National Health and Nutrition Examination Survey [NHANES] and U.S. Army Anthropometric Survey [ANSUR]) and numerous regression models are presented. Results are compared between skeletal measurements and the anthropometric measurements from each study. It was found that the ANSUR models are similar to the skeletal models, while the NHANES models exhibit weaker correlation coefficients and higher standard errors. Overall, this study finds that stature estimates derived from anthropometric data provide good results and remove the necessity for dissection when working with fleshed body portions.     

Formulae for Estimating Skeletal Height in Modern South‐East Asians

Estimating stature in human skeletal remains of Asian ancestry is problematic for forensic anthropologists due to the paucity and uncertain suitability of regression formulae. To address this issue, our study analyzed 64 individuals from a modern skeletal collection of South‐East Asian origin and developed population‐specific ordinary least squares regression formulae to estimate skeletal height from each of the long bones of the upper and lower limbs, as well as from trunk length. Results indicate that the most accurate estimates of skeletal height from a single bone (as measured by standard error of the estimate—SEE) are from tibial length in males (SEE = 2.40 cm) and from humeral length in females (SEE = 2.59 cm), followed by femoral length (SEE = 2.84 cm). When multiple elements are considered, the combination of femoral and tibial length yields the best estimates in both sexes as well as combined sex samples (male SEE = 2.40 cm; female SEE = 2.77 cm; combined sex SEE = 2.54 cm).     

数字X线测量上肢长骨推算身高

目的应用数字X线测量上肢长骨,建立适合当代中国四川汉族人群长骨推算身高的回归方程。方法按纳入标准对365例四川汉族正常人进行身高测量及上肢的数字X线检查,测量上肢各长骨不同标志点之间的长度,用SPSS统计软件对各测量值与身高进行相关回归分析,并对回归方程进行回代检验。结果共建立27个一元回归方程以及3个多元回归方程,各方程都具有统计学意义。上肢长骨中,尺骨相关性大于桡骨,男性相关性大于女性,多元回归方程的准确性高于一元回归方程。结论放射学方法测量长骨推算身高是一项简单、实用的方法,更适合上肢尸块的个人识别,值得进一步研究。     

利用椎体进行个人识别的研究进展

个人识别在法医实践中占有重要地位,主要包括判定种族、推断身高、判定性别和推算年龄。本文综述了近年来国内外利用椎体进行个人识别的成果,并对椎体个人识别的研究进行了展望。     

回归法推断手印和足迹与身高和体重的关系

目的探讨身高、体重与足迹、手印长宽的关系。方法通过足迹、手印的捺印和测量,大量地收集样本足迹、手印与身高、体重等数据,借助SPSS数理统计软件,进行一元线性回归分析。结果分别建立了由左右足迹、手印全长、掌宽推算身高与体重的10个一元线性回归方程,并对依据各个指标分别推算结果的可靠性进行比较研究。结论本研究建立的回归方程可用于山东地区部分人群的身高与体重推算;依据足迹较依据手印推算身高体重结果更可靠;在左右两侧足迹、手印都可利用的情况下,推断身高时应优先选用右侧;推断体重时应优先选用左侧。     

Estimation of stature from hand impression: a nonconventional approach

Stature is used for constructing a biological profile that assists with the identification of an individual. So far, little attention has been paid to the fact that stature can be estimated from hand impressions left at scene of crime. The present study based on practical observations adopted a new methodology of measuring hand length from the depressed area between hypothenar and thenar region on the proximal surface of the palm. Stature and bilateral hand impressions were obtained from 503 men of central India. Seventeen dimensions of hand were measured on the impression. Linear regression equations derived showed hand length followed by palm length are best estimates of stature. Testing the practical utility of the suggested method on latent prints of 137 subjects, a statistically insignificant result was obtained when known and estimated stature derived from latent prints was compared. The suggested approach points to a strong possibility of its usage in crime scene investigation, albeit the fact that validation studies in real-life scenarios are performed.     

Evaluation of Stature Estimation from the Database for Forensic Anthropology*†

Abstract: Trotter and Gleser’s ( 1 - 3 ) stature equations, conventionally used to estimate stature, are not appropriate to use in the modern forensic context. In this study, stature is assessed with a modern (birth years after 1944) American sample (N = 242) derived from the National Institute of Justice Database for Forensic Anthropology in the United States and the Forensic Anthropology Databank. New stature formulae have been calculated using forensic stature (FSTAT) and a combined dataset of forensic, cadaver, and measured statures referred to as Any Stature (ASTAT). The new FSTAT‐based equations had an improved accuracy in Blacks with little improvement over Ousley’s ( 4 ) equations for Whites. ASTAT‐based equations performed equal to those of FSTAT equations and may be more appropriate, because they reflect both the variation in reported statures and in cadaver statures. It is essential to use not only equations based on forensic statures, but also equations based on modern samples.     

Reanalysis of Korean War Anthropological Records to Support the Resolution of Cold Cases

Re‐investigation of previously unidentified remains from the Korean War has yielded 55 new identifications, each with corresponding records of prior anthropological analyses. This study compares biological assessments for age at death, stature, and ancestry across (i) anthropological analyses from the 1950s, (ii) recent anthropological analyses of those same sets of remains, and (iii) the reported antemortem biological information for the identified individual. A comparison of long bone measurements from both the 1950s and during reanalysis is also presented. These comparisons demonstrate commonalities and continuing patterns of errors that are useful in refining both research on Korean War cold case records and forensic anthropological analyses performed using methods developed from the 1950s identifications.     

The Influence of Body Size on the Expression of Sexually Dimorphic Morphological Traits

Skeletal sexual dimorphism manifests as size or shape differences between males and females in a population. Certain dimorphic traits are used in sex estimation methods, and populational variation in the expression of these traits can result in inaccurate sex estimation. However, the underlying causes of variation in trait expression remain unclear. This study explores body size, which also exhibits sexual dimorphism, as a potential factor influencing trait expression. To test this, skeletons of 209 individuals of varying body size were analyzed, and morphological traits were scored according to the Walker (2008), Klales et al. (2012), and Rogers (1999) sex estimation methods. Statistical analyses found significant correlations between body size parameters and expression of traits, with stature explaining more relative variance in trait expression than body mass. However, the relationships are weak and few in number, suggesting that body size has a minimal impact on the expression of these morphological traits.