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Body mass estimation from the skeleton: An evaluation of 11 methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10367103" target="_blank" >RIV/00216208:11310/17:10367103 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/17:10367103

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.forsciint.2017.10.026" target="_blank" >http://dx.doi.org/10.1016/j.forsciint.2017.10.026</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.forsciint.2017.10.026" target="_blank" >10.1016/j.forsciint.2017.10.026</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Body mass estimation from the skeleton: An evaluation of 11 methods

  • Original language description

    Estimating an individual body mass (BM) from the skeleton is a challenge for forensic anthropology. However, identifying someone&apos;s BMI (Body Mass Index) category, i.e. underweight, normal, overweight or obese, could contribute to identification. Individual BM is also known to influence the age-at-death estimation from the skeleton. Several methods are regularly used by both archaeologists and forensic practitioners to estimate individual BM. The most commonly used methods are based on femoral head breadth, or stature and bi-iliac breadth. However, those methods have been created from mean population BMs and are therefore meant to estimate the average BM of a population. Being that they are based on individual BM data and estimated femoral cortical areas, the newest published methods are supposed to be more accurate. We evaluated the accuracy and reliability of the most commonly used and most recent BM estimation methods (n = 11) on a sample of 64 individuals. Both sexes and all BMI categories are represented, as well as a wide range of BM. Ages in this sample range from 20 to 87 years of age. Absolute and real differences between actual BM and estimated BM were assessed; they determined the accuracy for individual BM estimation and for average BM estimation of a population, respectively. The proportion of the sample whose estimated BM falls within +/- 10% and +/- 20% of their actual BM determines the reliability of the methods in our sample for, respectively, individual BM estimation and average BM of a population. The tested methods result in an absolute difference of 11 kg-26 kg +/- 10 kg with regards to prediction of individuals actual BM. The real differences are very variable from method to method, ranging from +/- 14 kg to 25 kg. None of the tested methods is able to estimate BM of half of the sample within +/- 10% of their actual BM but most of them can estimate BM of more than half of the sample within +/- 20% of their actual BM. The errors increase with increasing BM, demonstrating a bias in all the methods. No bone variable tested correlated with BM. BMI categories were correctly predicted for less than 50% of the sample in most cases. In conclusion, our study demonstrates that the 11 methods tested are not suited for estimating individual BM or for predicting BMI categories. However, they are accurate and reliable enough for estimating the average BM of a population.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10600 - Biological sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Forensic Science International

  • ISSN

    0379-0738

  • e-ISSN

  • Volume of the periodical

    281

  • Issue of the periodical within the volume

    december

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

    000417055800030

  • EID of the result in the Scopus database