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    Using tibial fragments to reconstruct the total skeletal height of black South Africans

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    Date
    2019-05-01
    Author
    Spies, Amy Joy
    Bidmos, Mubarak Ariyo
    Brits, Desiré
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    Abstract
    Stature is an important component of the biological profile of unknown skeletal remains and regression equations for estimating stature have been derived for a number of bones. However, bones are rarely recovered intact in both forensic and archaeological cases, and regression formulae for fragmentary remains have therefore been developed. These equations are, however, both sex- and population-specific, and while formulae exist for many populations, those using fragmentary tibiae do not exist for black South Africans. The aim of this study was therefore to establish regression equations for estimating total skeletal height (TSH), and thereby stature, from tibial fragments in a black South African population. A sample of 99 male and 99 female black South African skeletons were obtained from the Raymond A. Dart Collection of Human Skeletons and the TSH of each skeleton was calculated using the anatomical method. Eleven additional measurements representing tibial fragments were taken on each tibia, and both uni- and multivariate equations were established for estimating TSH from these fragments. All tibial variables were significantly, positively correlated with TSH, and equation correlations ranged between 0.41 and 0.91. The range of standard errors of estimate for the derived sex-specific (3.43–5.06 cm)and sex-pooled (3.44–5.94 cm)multivariate equations were slightly larger than those reported for intact tibiae in black (2.78–3.06 cm)and white (2.59–3.16 cm)South Africans. All uni- and multivariate-equations estimated TSH with moderate to high accuracy, which indicates that in the absence of intact tibiae, the equations presented in this study can be used to give accurate estimates of TSH, and thereby stature, for black South Africans.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064004738&origin=inward
    DOI/handle
    http://dx.doi.org/10.1016/j.forsciint.2019.03.040
    http://hdl.handle.net/10576/12337
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    • Medicine Research [‎1739‎ items ]

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