Patterns of habitual physical activity in children and adolescents with cerebral palsy (GMFCS I-II)

Marte Fossflaten Tørring1,2, Karin Roeleveld1, Stian Lydersen3

  • 1Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.

Insights

Children with cerebral palsy (CP) and typically developing (TD) peers showed similar daily physical activity patterns. This study highlights variations in activity, suggesting personalized interventions for children with CP.

Area of Science:

  • Pediatrics
  • Biomedical Engineering
  • Kinesiology

Background:

  • Understanding physical activity patterns in children with cerebral palsy (CP) is crucial for developing tailored interventions.
  • This study focuses on the temporal aspects of activity, including postures, bouts, transitions, and frequency, in ambulatory children with CP.

Purpose of the Study:

  • To describe and compare the habitual physical activity patterns of ambulatory children with CP and typically developing (TD) peers.
  • To identify differences in activity quantity, intensity, and temporal distribution between the two groups.

Main Methods:

  • Twenty-three ambulatory children with CP (GMFCS I-II) and 23 TD peers wore accelerometers for seven days.
  • A human activity recognition model classified activities like lying, sitting, standing, walking, running, cycling, and jumping.

Main Results:

  • Both groups accumulated approximately five hours of daily physical activity, primarily through standing and walking.
  • Children with CP showed slightly less activity and fewer active-sedentary transitions than TD peers, though not statistically significant.
  • Activity patterns showed substantial within-group variation, indicating heterogeneity in habitual physical activity.

Conclusions:

  • Ambulatory children with CP (GMFCS I) exhibit habitual physical activity patterns similar to TD peers, with no significant weekday-weekend differences.
  • Findings are descriptive and hypothesis-generating due to small sample size and low statistical power.
  • Substantial heterogeneity in physical activity patterns underscores the need for individualized approaches.
Abstract

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