Step-length asymmetry drivers in unilateral cerebral palsy: Exploring the interplay between neuromotor constraints

Ragab K Elnaggar1, Mahmoud S Elfakharany2

  • 1Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.

Insights

Step-length asymmetry in children with unilateral cerebral palsy (CP) is driven by neuromotor issues and energy efficiency. Integrated rehabilitation targeting strength, spasticity, and gait efficiency is crucial for improving symmetry.

Area of Science:

  • Neurology
  • Biomechanical Engineering
  • Pediatric Rehabilitation

Background:

  • Step-length asymmetry is a common gait deviation in children with unilateral cerebral palsy (CP), impacting energy efficiency.
  • The combined influence of neuromotor impairments and energy efficiency on this asymmetry is not well understood.

Purpose of the Study:

  • To determine the independent and combined predictive power of neuromotor and energy efficiency factors on step-length asymmetry in children with unilateral CP.

Main Methods:

  • Fifty-two children (8-18 years, GMFCS I-II) with unilateral CP were assessed.
  • Neuromotor function (dorsiflexor strength, spasticity, range of motion, proprioception) and energetic efficiency (metabolic cost, walking speed) were measured.
  • Step-length asymmetry was calculated as the percentage difference between limbs.

Main Results:

  • A comprehensive model explained 70% of the variance in step-length asymmetry.
  • Neuromotor impairments were the primary predictors (58.8% variance).
  • Energy efficiency factors uniquely contributed 11.2% to the variance, with dorsiflexor weakness, spasticity, metabolic cost, and walking speed being key predictors.

Conclusions:

  • Step-length asymmetry in unilateral CP is multifactorial, influenced by both neuromotor and energetic factors.
  • While dorsiflexor strength is a key predictor, plantarflexor function remains important.
  • Integrated rehabilitation addressing strength, spasticity, and gait efficiency is recommended for optimizing gait symmetry.
Abstract

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