Three-Dimensional Physique Assessment in the Military: New Zealand Defence Force Anthropometry Survey Protocols and Summary Statistics

Authors

Stephven Kolose
Auckland University of Technology
https://orcid.org/0000-0002-5959-1592
Patria A. Hume
Auckland University of Technology
https://orcid.org/0000-0003-1847-8128
Tom Stewart
Auckland University of Technology
https://orcid.org/0000-0001-5915-3843
Grant R. Tomkinson
University of North Dakota; University of South Australia
Arthur D. Stewart
Robert Gordon University
Stephen J. Legg
Massey University

Synopsis

This book describes how to conduct a large-scale anthropometric survey in the military with a specific focus on the New Zealand Defence Force Anthropometry Survey. This book provides a historical introduction to surface kinanthropometry (Part I), 3D scanning technology (Part II) and an overview of military anthropometry surveys in Part IV. It also provides a description of the New Zealand Defence Force (NZDF) anthropometry survey in Part IV, conclusions in Part V and concludes with the measurement technique protocols and normative data for the NZDF kinanthropometry survey in Part VI.

While surface anthropometry has traditionally been used to assess body composition through the internationally recognised methodology of the International Society for the Advancement of Kinanthropometry (ISAK), the commercialisation of three-dimensional photometry (3D scanning) has led to the adoption of new and often non-standardised, measurement techniques.

We detail standardisation procedures for 3D scanning in terms of participant preparation, equipment calibration, test protocols, data reporting and data interpretation. We outline how 3D scanning works, what it is used to measure, and what the issues are surrounding its validity, practicality, and reliability. This book provides an essential reference for practitioners wishing to measure military physique. We have not presented 3-D assessment data (i.e. surface manifold, volumetric, symmetry or shape analysis). We have only extracted 1-D measures from 3D images in this eBook.

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Published

May 10, 2021

Details about this monograph

ISBN-13 (15)

978-0-473-57328-7