Reliability of center of pressure measures for assessing the development of sitting postural control

Anastasia Kyvelidou1, Regina T Harbourne, Wayne A Stuberg

  • 1Department of Health Physical Education and Recreation, University of Nebraska at Omaha, Omaha, NE 68182-0216, USA.

Insights

Nonlinear analysis tools, like approximate entropy, reliably measure infant sitting postural control development. Reliability improves as infants mature and their sitting posture develops.

Area of Science:

  • Pediatric physical therapy
  • Motor control research
  • Infant development studies

Background:

  • Assessing infant sitting postural control is crucial for early motor development.
  • Reliable measurement tools are needed to track developmental progress and intervention effectiveness.

Purpose of the Study:

  • To evaluate the reliability of linear and nonlinear analysis tools for center of pressure (COP) time series data.
  • To determine intrasession and intersession reliability in analyzing infant sitting postural control.

Main Methods:

  • A longitudinal study involving 33 typically developing infants.
  • COP data collected twice weekly over 4 months, with 3 trials per session.
  • Linear (e.g., RMS, range) and nonlinear (e.g., approximate entropy) parameters calculated.
  • Intraclass correlation coefficient (ICC) used to quantify reliability.

Main Results:

  • The nonlinear parameter, approximate entropy, demonstrated high intrasession and intersession reliability.
  • Reliability generally increased with infant maturation and improved sitting posture.
  • Approximate entropy showed superior reliability compared to other evaluated parameters.

Conclusions:

  • Center of pressure (COP) data analysis is a reliable method for studying the development of infant sitting postural control.
  • Establishing reliability of COP analysis is essential before using it to assess interventions for infants with motor delays.
Abstract

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