Machine learning derived physical activity in preschool children with developmental coordination disorder.

Journal: Developmental medicine and child neurology
Published Date: Dec 10, 2024

Abstract

AIM: To compare the device-measured physical activity behaviours of preschool children with typical motor development to those with probable developmental coordination disorder (pDCD) and at risk for developmental coordination disorder (DCDr).

Authors

  • Elyse Letts
    Child Health & Exercise Medicine Program, Department of Pediatrics, McMaster University, Hamilton, Canada.
  • Sara King-Dowling
    INfant and Child Health Lab, Department of Family Medicine, McMaster University, Hamilton, Canada.
  • Matthew Y W Kwan
    INfant and Child Health Lab, Department of Family Medicine, McMaster University, Hamilton, Canada.
  • Joyce Obeid
    Child Health & Exercise Medicine Program, Department of Pediatrics, McMaster University, Hamilton, Canada.
  • John Cairney
    INfant and Child Health Lab, Department of Family Medicine, McMaster University, Hamilton, Canada.
  • Stewart G Trost
    Institute of Health and Biomedical Innovation, Queensland University of Technology, Australia. Electronic address: s.trost@qut.edu.au.

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