Wearable-Sensor-Based Physical Activity and Sleep in Children with Down Syndrome Aged 0-5 Years: A Systematic Review

Gilson Borges1, Vanessa Moreira1, Fabio Bertapelli1

  • 1Department of Human Movement Sciences, Federal University of São Paulo, Santos 11015-020, Brazil.

PubMed

Insights

Children with Down syndrome (DS) have lower physical activity (PA) and poorer sleep quality than their peers. Objective wearable data reveals significant differences, highlighting the need for standardized measurement in future research.

Area of Science:

  • Pediatrics
  • Biomedical Engineering
  • Kinesiology

Background:

  • Objective measurement of physical activity (PA) and sleep is crucial for child development.
  • Previous studies on PA and sleep in children with Down syndrome (DS) lack systematic review.
  • Wearable sensor technology offers objective data collection for these parameters.

Purpose of the Study:

  • To systematically review and describe PA and sleep patterns in children with DS.
  • To compare PA and sleep metrics between children with DS and non-DS peers.
  • To evaluate sensor data collection methodologies used in existing studies.

Main Methods:

  • A systematic literature search was conducted across major scientific databases (PubMed, Scopus, Web of Science, Embase, SPORTDiscus).
  • Included studies were assessed for risk of bias using Joanna Briggs Institute tools.
  • Data from 9 original studies involving 8-66 participants (1-67 months) were analyzed.

Main Results:

  • Children with DS demonstrated lower time spent on high-intensity PA and reduced segment-specific movement counts compared to non-DS controls.
  • Children with DS exhibited poorer sleep quality, sleeping approximately one hour less than controls and significantly below global recommendations.
  • Observed movement patterns in DS included greater upper-limb than lower-limb activity and minimal changes in movement rates over time.

Conclusions:

  • Children with DS present with distinct patterns of reduced physical activity and impaired sleep quality.
  • Significant variations in sensor data collection protocols (epoch length, attachment site, device model) hinder direct comparisons.
  • Standardized sensor-based research is essential to accurately ascertain PA levels and sleep quality in the pediatric DS population.

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