DETERMINATION OF INTRAVITAM BODY TYPE IN MEN DRAWING ON THE OSTEOMETRIC CHARACTERISTICS OF SKELETONISED CLAVICLES

Cover Page

Abstract


One of the major challenges faced by a forensic medical expert when performing the examination of bone remains for the purposes of personal identification is the determination of group characteristics, which include the person’s body type. The present study focuses on a new method for determining the intravitam body type when considering skeletonised remains.

Aim. To develop diagnostic mathematico-statistical models that allow the intravitam body type in men to be determined, drawing on the osteometric characteristics of skeletonised clavicles.

Material and methods. We studied clavicles from the osteological collection held at the Department of Anthropology, Lomonosov Moscow State University (62 adult male skeletons) according to the expanded osteometric program (15 characteristics). The obtained data were processed by StatSoft STATISTICA 10 using multivariate stepwise discriminant analysis (MDA).

Results. We have developed diagnostic models allowing the intravitam body type (ectomorph, mesomorph and endomorph) to be determined on the basis of skeletonised clavicles with an accuracy of 62.9–79 %. Using the proposed models, a more accurate determination of ectomorphs and mesomorphs (90 %) than endomorphs (41–58.8 %) is observed. In order to increase the objectiveness of the expert’s conclusion, we used function Pl showing the probability of correct body type classification in every single case.
The diagnostic models were successfully verified using the skeletal samples held at the Peter the Great Museum of Anthropology and Ethnography, with the maximum accuracy level reaching 80 %.


About the authors

A. V. Smirnov

Peoples’ Friendship University of Russia

Author for correspondence.
Email: ascold20@yandex.ru
ORCID iD: 0000-0001-6017-5310

Russian Federation

Askold V. Smirnov, Research Assistant, Department of Forensic Medicine, Medical Institute

Moscow

D. V. Sundukov

Peoples’ Friendship University of Russia

Email: sudmed.rudn@yandex.ru
ORCID iD: 0000-0001-8173-8944

Russian Federation

Dmitry V. Sundukov, Dr. Sci. (Med), Assoc. Prof., Departmental Head, Department of Forensic Medicine

Moscow

References

  1. Звягин В. Н. Текущие проблемы медико-криминалистической идентификации личности. Проблемы экспертизы в медицине. 2012;3–4:39–43.
  2. Звягин В. Н., Галицкая О. И., Григорьева М. А. Определение прижизненных соматических размеров тела человека при судебно-медицинской экспертизе скелетированных и сожженных останков. В кн.: Медицинские технологии, используемые при производстве судебно-медицинских экспертиз. М.: Компания «Планета Земля», 2012. С. 96–130.
  3. Ubelaker D. H., DeGaglia C. M. Population variation in skeletal sexual dimorphism. Forensic Science International. 2017;Sep;278:407.e1–407.e7. https://doi.org/10.1016/j.forsciint.2017.06.012
  4. Ubelaker D. H., Khosrowshahi H. Estimation of age in forensic anthropology: historical perspective and recent methodological advances. Forensic Sciences Research. 2019;Mar 19;4(1):1–9. https://doi.org/10.1080/20961790.2018.1549711
  5. Lynnerup N. Forensic anthropology and human identification. Scandinavian Journal of Forensic Science. 2013;19(1):16–38. DOI: https://doi.org/10.2478/sjfs2013-0005
  6. Звягин В. Н., Синева И. М. Определение соматотипа мужчин по остеометрическим признакам верхней и нижней конечностей. Судебно-медицинская экспертиза. 2009;5:6–11.
  7. Elliott M., Kurki H., Weston D. A., et al. Estimating body mass from skeletal material: new predictive equations and methodological insights from analyses of a known-mass sample of humans. Archaeological and Anthropological Sciences. 2016;8(4):731–750. https://doi.org/10.1007/s12520-015-0252-5
  8. Elliott M., Kurki H., Weston D. A., Collard M. Estimating body mass from postcranial variables: an evaluation of current equations using a large known-mass sample of modern humans. Archaeological and Anthropological Sciences. 2016;8(4):689–704. https://doi.org/10.1007/s12520-015-0251-6

Statistics

Views

Abstract - 116

PDF (Russian) - 12

PlumX

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Dimensions

Refbacks

  • There are currently no refbacks.

Copyright (c) 2020 Smirnov A.V., Sundukov D.V.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies