Document Detail


Somatotyping using 3D anthropometry: a cluster analysis.
MedLine Citation:
PMID:  23356433     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Abstract Somatotyping is the quantification of human body shape, independent of body size. Hitherto, somatotyping (including the most popular method, the Heath-Carter system) has been based on subjective visual ratings, sometimes supported by surface anthropometry. This study used data derived from three-dimensional (3D) whole-body scans as inputs for cluster analysis to objectively derive clusters of similar body shapes. Twenty-nine dimensions normalised for body size were measured on a purposive sample of 301 adults aged 17-56 years who had been scanned using a Vitus Smart laser scanner. K-means Cluster Analysis with v-fold cross-validation was used to determine shape clusters. Three male and three female clusters emerged, and were visualised using those scans closest to the cluster centroid and a caricature defined by doubling the difference between the average scan and the cluster centroid. The male clusters were decidedly endomorphic (high fatness), ectomorphic (high linearity), and endo-mesomorphic (a mixture of fatness and muscularity). The female clusters were clearly endomorphic, ectomorphic, and the ecto-mesomorphic (a mixture of linearity and muscularity). An objective shape quantification procedure combining 3D scanning and cluster analysis yielded shape clusters strikingly similar to traditional somatotyping.
Authors:
Tim Olds; Nathan Daniell; John Petkov; Arthur David Stewart
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-29
Journal Detail:
Title:  Journal of sports sciences     Volume:  -     ISSN:  1466-447X     ISO Abbreviation:  J Sports Sci     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8405364     Medline TA:  J Sports Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
a UniSA , Health Sciences , GPO Box 2471 , Adelaide , 5001 , Australia.
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