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Stature estimation equations for South Asian skeletons based on DXA scans of contemporary adults

Objectives Stature estimation from the skeleton is a classic anthropological problem, and recent years have seen the proliferation of population‐specific regression equations. Many rely on the anatomical reconstruction of stature from archaeological skeletons to derive regression equations based on...

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Bibliographic Details
Published in:American journal of physical anthropology 2018-09, Vol.167 (1), p.20-31
Main Authors: Pomeroy, Emma, Mushrif‐Tripathy, Veena, Wells, Jonathan C. K., Kulkarni, Bharati, Kinra, Sanjay, Stock, Jay T.
Format: Article
Language:English
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Summary:Objectives Stature estimation from the skeleton is a classic anthropological problem, and recent years have seen the proliferation of population‐specific regression equations. Many rely on the anatomical reconstruction of stature from archaeological skeletons to derive regression equations based on long bone lengths, but this requires a collection with very good preservation. In some regions, for example, South Asia, typical environmental conditions preclude the sufficient preservation of skeletal remains. Large‐scale epidemiological studies that include medical imaging of the skeleton by techniques such as dual‐energy X‐ray absorptiometry (DXA) offer new potential datasets for developing such equations. Materials and methods We derived estimation equations based on known height and bone lengths measured from DXA scans from the Andhra Pradesh Children and Parents Study (Hyderabad, India). Given debates on the most appropriate regression model to use, multiple methods were compared, and the performance of the equations was tested on a published skeletal dataset of individuals with known stature. Results The equations have standard errors of estimates and prediction errors similar to those derived using anatomical reconstruction or from cadaveric datasets. As measured by the number of significant differences between true and estimated stature, and the prediction errors, the new equations perform as well as, and generally better than, published equations commonly used on South Asian skeletons or based on Indian cadaveric datasets. Conclusions This study demonstrates the utility of DXA scans as a data source for developing stature estimation equations and offer a new set of equations for use with South Asian datasets.
ISSN:0002-9483
1096-8644
2692-7691
DOI:10.1002/ajpa.23596