Profiling movement behaviours in pre-school children: A self-organised map approach.
Application of machine learning techniques has the potential to yield unseen insights into movement and permits visualisation of complex behaviours and tangible profiles. The aim of this study was to identify profiles of relative motor competence (MC) and movement behaviours in pre-school children using novel analytics. One-hundred and twenty-five children (4.3 ± 0.5y, 1.04 ± 0.05 m, 17.8 ± 3.2 kg, BMI: 16.2 ± 1.9 kg
O8-1 24-Hour Movement Behavior and Fundamental Movement Skills in Pre-School Children: A Compositional Analysis
Abstract Background Studies that have analyzed the association between the different movement behaviors and fundamental movement skills (FMS), have considered it in an independent manner, disregarding the compositional nature of 24-hour movement behaviors (24h MB). The aim of this study was to investigate relationships between the 24h MB and FMS in low-income preschoolers. Methods Two hundred and four preschoolers of both sexes (4.5±0.8 years old; 101boys) provided objectively assessed physical activity (PA) and sedentary time (ST) data (Actigraph wGT3X), and FMS assessments (TGMD-2). Sleep duration (SD) was reported by parents through interview. Association of daily time composition of mov…