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

Regression equations for stature reconstruction from the lower limb bones of contemporary White... 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 These significant differences and associated large MD and MAD conclude that the equations by Dayal and colleagues are no longer valid.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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Australian Journal of Forensic Sciences Taylor & Francis

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

13 pages

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

Abstract

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...
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Publisher
Taylor & Francis
Copyright
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
ISSN
1834-562X
eISSN
0045-0618
DOI
10.1080/00450618.2023.2187084
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Australian Journal of Forensic SciencesTaylor & Francis

Published: Mar 15, 2023

Keywords: Living stature; stature estimation; forensic anthropology; MRI scanogram; White South Africans; lower limb bones

References