Literature DB >> 23356433

Somatotyping using 3D anthropometry: a cluster analysis.

Tim Olds1, Nathan Daniell, John Petkov, Arthur David Stewart.   

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.

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Year:  2013        PMID: 23356433     DOI: 10.1080/02640414.2012.759660

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  5 in total

1.  Comparison of 3D laser-based photonic scans and manual anthropometric measurements of body size and shape in a validation study of 123 young Swiss men.

Authors:  Frank J Rühli; Kaspar Staub; Nikola Koepke; Marcel Zwahlen; Jonathan C Wells; Nicole Bender; Maciej Henneberg
Journal:  PeerJ       Date:  2017-02-09       Impact factor: 2.984

2.  Multiple measures derived from 3D photonic body scans improve predictions of fat and muscle mass in young Swiss men.

Authors:  Roman Sager; Sabine Güsewell; Frank Rühli; Nicole Bender; Kaspar Staub
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

3.  Verification of Xiphoid Point as a New Measuring Point for Chest Shape Measurement.

Authors:  Yulin Zhao; Dingbang Luh; Yue Sun; Fei Sun
Journal:  Comput Intell Neurosci       Date:  2022-08-25

4.  Novel Anthropometry Based on 3D-Bodyscans Applied to a Large Population Based Cohort.

Authors:  Henry Löffler-Wirth; Edith Willscher; Peter Ahnert; Kerstin Wirkner; Christoph Engel; Markus Loeffler; Hans Binder
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

5.  Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis.

Authors:  Guochang Xu; Guojian Zhou; Quanying Qu; Ying Hu; Yueriguli Saitierding; Maierdanjang Mohetaer; Yeerkenbieke Buerlan; Xuejun Zhong; Huanjiu Xi; Xiaoyuan Liu; Wenhui Li; Youfeng Wen
Journal:  Diabetes Metab Syndr Obes       Date:  2021-02-15       Impact factor: 3.168

  5 in total

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