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Dataset Information

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


ABSTRACT:

Introduction

Digital tools like 3D laser-based photonic scanners, which can assess external anthropometric measurements for population based studies, and predict body composition, are gaining in importance. Here we focus on a) systematic deviation between manually determined and scanned standard measurements, b) differences regarding the strength of association between these standard measurements and body composition, and c) improving these predictions of body composition by considering additional scan measurements.

Methods

We analysed 104 men aged 19-23. Bioelectrical Impedance Analysis was used to estimate whole body fat mass, visceral fat mass and skeletal muscle mass (SMM). For the 3D body scans, an Anthroscan VITUSbodyscan was used to automatically obtain 90 body shape

SUBMITTER: Sager R 

PROVIDER: S-EPMC7289400 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature