The Lab
Trainr's progression models and macro-aligned planning are informed by published research on 3D anthropometry and body-composition tracking. The studies below describe 3D scanning technology in general — not Trainr's own measured performance — and Trainr's figures are estimates for self-tracking, not clinical measurements.
Validity of a 3-dimensional body scanner: comparison against a 4-compartment model and dual energy X-ray absorptiometry
Studies comparing the accuracy of 3D body scanners for body composition analysis with Dual-energy X-ray Absorptiometry (DXA) reveal high levels of agreement. 3D scanners demonstrate remarkable accuracy in tracking longitudinal changes in fat mass (FM), fat-free mass (FFM), and appendicular lean mass (ALM) over time, providing an accessible, radiation-free alternative to DXA for continuous monitoring.
Ng, B. K., et al.
Self-Monitoring in Weight Loss: A Systematic Review of the Literature
Dietary self-monitoring and macro tracking are cornerstones of behavioral weight loss. Meta-analyses demonstrate a direct, significant correlation between high-frequency self-monitoring and sustained reduction in body fat percentage and visceral fat scores. Digital applications heavily augment physiological adherence.
Burke, L. E., et al.
Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments
The objective of this study was to determine the strengths and weaknesses of three-dimensional optical (3DO) imaging for monitoring body composition in remote environments. 3DO body composition estimates were compared to DXA, demonstrating high correlation (R² = 0.97 for fat-free mass) and good absolute accuracy for body composition assessment in extreme conditions.
Wong, M. C., et al.