Abstract Fractures in children are influenced by both skeletal biology and mechanical factors. While alterations in vitamin D and other metabolic markers have been proposed as cont
A sound cross-sectional analysis using unsupervised machine learning on accelerometry to identify clinically meaningful PA phenotypes and their metabolic associations in children with obesity, but limited by single time-point design, small sample, and lack of a comparator arm.