BMC Pediatrics · 5 authors, 7 centres
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
This is a protocol paper for a longitudinal study that will track physical activity in toddlers aged 1–3 years using accelerometers and machine learning. The study aims to validate an activity recognition algorithm and explore how parental factors, such as parenting practices and stress, are associated with children's physical activity development.
to refine and validate a machine learning algorithm for toddler activity recognition from accelerometer data, to compare physical activity trajectories between male and females from age 1 to 3 years, and to explore associations between gross motor development, parenting practices, maternal physical activity, maternal parenting stress, child behavioral problems, and toddler physical activity development. The authors state the study will address a methodological gap in measuring toddler physical activity and expand knowledge on early childhood physical activity determinants. The protocol does not report any study results.
