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    Assessing the use of the anatomical method for the estimation of sub-adult stature in Black South Africans

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    Date
    2018-02-01
    Author
    Brits, Desiré
    Manger, Paul R.
    Bidmos, Mubarak A.
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    Abstract
    Stature estimation is rarely attempted in sub-adults due to the general lack of available standards as a result of the dearth of sufficiently large sub-adult skeletal collections with known demographic information. To overcome this problem sub-adult research mainly relies on modern imaging modalities. In the current study Magnetic Resonance Imaging (MRI) scans were used to assess the use of the anatomical method for stature estimation in sub-adults. A total of 53 Black South African sub-adult males (n = 24) and females (n = 29) aged between 10 and 17 years participated in the study by voluntarily completing a full-body MRI scan. A stadiometer was used to measure living stature prior to all MRI scans. Skeletal elements that contribute directly to stature were measured from the MRI scans using OsiriX and summed to compute the total skeletal height. Total skeletal height was calculated using the diaphyseal, maximum and physiological long bone lengths and correlated to living stature using Pearson's correlations. Subsequently least squares regression equations were generated for the estimation of sub-adult stature. Results indicated strong, statistically significant positive correlations between living stature and total skeletal heights in sub-adult males, females and a combined sex sample. The regression equations were characterized by small standard error of estimates which are comparable to that reported for Black South African adults. Based on these results the anatomical method can be used to accurately describe living stature in Black South African sub-adults. This method is therefore encouraged as it will add valuable information when dealing with unknown sub-adult skeletal remains.
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    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039419271&origin=inward
    DOI/handle
    http://dx.doi.org/10.1016/j.forsciint.2017.11.024
    http://hdl.handle.net/10576/12339
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    • Medicine Research [‎1942‎ items ]

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