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Regression equations for stature reconstruction from the lower limb bones of contemporary White South Africans

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submitted on 2024-02-06, 05:40 and posted on 2024-02-06, 09:47 authored by Mubarak A. Bidmos, Natasha Loubser, Desiré Brits

In 2008, Dayal and colleagues generated regression equations to estimate the total skeletal height (TSH) of White South Africans. However, the validity of these equations has been questioned. The magnetic resonance imaging scanograms of 74 White South African adults were used to assess the reliability of these equations. The physiological lengths of the femur (FEPL) and tibia (TPL) were measured from these scans and input into the appropriate equations by Dayal and colleagues to calculate TSHD. Paired t-tests, mean differences (MD), and mean absolute differences (MAD) were used to compare TSHD with the measured TSH (TSHMeas) taken directly from the scanograms and ELS were compared with the measured stature (LSM) taken of participants prior to their scans. Although there were no significant differences between TSHMeas and TSHD for males and TSHMeas and TSHD(TPL) for females, all ELSL were significantly different to LSM, and the ELSC using the FEPL were significantly different to LSM. These significant differences and associated large MD and MAD conclude that the equations by Dayal and colleagues are no longer valid. New stature estimation equations were derived for the estimation of stature of White South Africans, characterized by strong correlations and low SEEs.

Other Information

Published in: Australian Journal of Forensic Sciences
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
See article on publisher's website: https://dx.doi.org/10.1080/00450618.2023.2187084

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Taylor & Francis

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Qatar University
  • Qatar University Health - QU
  • College of Medicine - QU HEALTH

Geographic coverage

South Africa

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