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

摘要: 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 scanned standard measurements, b) differences regarding the strength of association these c) improving predictions composition by considering additional scan measurements. Methods We analysed 104 men aged 19–23. Bioelectrical Impedance Analysis was used to estimate whole fat mass, visceral mass skeletal muscle (SMM). For scans, an Anthroscan VITUSbodyscan automatically obtain 90 shape measurements. Manual (height, weight, waist circumference) were also taken. Results Scanned measured height, circumference, waist-to-height-ratio, BMI strongly correlated (Spearman Rho>0.96), however found differences. When variables or explained variation prediction errors similar manual The univariable performed well both (r2 up 0.92) absolute (AFM, r2 0.87) but not SMM 0.54). Of scanner measures multivariable models, belly circumference middle hip most important predictors content. Stepwise forward model selection using AIC criterion showed that best predictive power 0.99) achieved with models including 49 measurements. Conclusion The use a full produced results correlate measures. Predictions improved substantially multiple only be obtained scanner, models.