M. Thelwell et al., "Allometry Between Measures of Body Size and Shape in a Large Population-Based Cohort", Proc. of 3DBODY.TECH 2020 - 11th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Online/Virtual, 17-18 Nov. 2020, #10, https://doi.org/10.15221/20.10.
Allometry Between Measures of Body Size and Shape in a Large Population-Based Cohort
Michael THELWELL 1, Alice BULLAS 1, Andreas KUHNAPFEL 3,4, John HART 1, Peter AHNERT 3,4, Jon WHEAT 2, Markus LOEFFLER 3,4, Markus SCHOLZ 3,4,5, Simon CHOPPIN 1
1 Sports Engineering, Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK;
2 College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, UK;
3 LIFE Research Centre for Civilisation Diseases, Leipzig University, Leipzig, Germany;
4 Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
5 IFB Adiposity Diseases, Leipzig University, Leipzig, Germany
Traditional manual anthropometrics have been used extensively in practice to derive indicators of health risk, such as growth disorders or obesity; however, these approaches typically reduce the complex shape of human bodies to a series of simple size measures. Three-dimensional (3D) imaging systems capture detailed and accurate images of human morphology which have the potential for use within health applications. However, previous studies utilising 3D imaging have only assessed body shape based on combinations and relative proportions of large numbers of size measures. Geometric morphometrics - established mathematical methods within the fields of anthropology and evolutionary biology - analyse morphological variation and allometric relationships between the size and shape of organisms. The aim of this study was to investigate allometry between traditional measures of body size and novel measures of body shape. Developed analytical procedures were utilised to extract scale-invariant features of torso shape from 3D imaging data of 4,405 male participants in the LIFE-Adult cohort, obtained using a Vitus Smart XXL laser scanner. Partial least squares regression (PLSR) models were created to determine how human body shape changes with increases in body size. This study demonstrated that linear combinations of size measures can explain between 3.2 - 84.4 % of the variation in individual body shape features. These results indicate that measures of human body shape show a complex dependence on body size, providing complementary anthropometric features of the human body. The aim of future studies will be to investigate the efficacy of these measures in clinical epidemiology.
Anthropometry, Body shape measurement, Allometry, Epidemiology
© Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, www.hometrica.ch.
Reproduction of the proceedings or any parts thereof (excluding short quotations for the use in the preparation of reviews and technical and scientific papers) may be made only after obtaining the specific approval of the publisher. The papers appearing in the proceedings reflect the author's opinions. Their inclusion in these publications does not necessary constitute endorsement by the editor or by the publisher. Authors retain all rights to individual papers.
Note: click the + on the top left of the page to open/close the menu.