Elbow Kinematics During Gait Improve With Age in Children With Hemiplegic Cerebral Palsy

Benjamin L Gordon1, Aviva L Wolff1, Aaron Daluiski2,3

  • 1Leon Root, MD Motion Analysis Laboratory, Hospital for Special Surgery.

Insights

Children with hemiplegic cerebral palsy (hCP) show increased elbow flexion during gait compared to typically developing (TD) children. Elbow flexion and symmetry during gait improve with age in hCP children, approaching TD norms by adolescence.

Area of Science:

  • Biomedical Engineering
  • Pediatric Orthopedics
  • Movement Science

Background:

  • Children with hemiplegic cerebral palsy (hCP) often display a characteristic elbow flexion posture during gait.
  • Limited data exists on age-related changes in elbow kinematics and symmetry during gait for both hCP and typically developing (TD) children.

Purpose of the Study:

  • To quantify and compare the changes in elbow kinematics and symmetry during gait across different age groups in children with hCP versus TD children.

Main Methods:

  • Analysis of upper extremity kinematic data from a gait database (2009-2015).
  • Included 35 hCP and 51 TD children aged 4-18, categorized into three age groups (4-7, 8-11, 12+ years).
  • Calculated peak elbow flexion, range of motion, and asymmetry indices, analyzed using one-way ANOVA and Tukey's post hoc tests.

Main Results:

  • Peak elbow flexion increased with age in TD children but decreased on the affected side in hCP children.
  • Affected side in hCP children showed significantly greater peak elbow flexion (82.1°) compared to TD children (51.9°) across all ages.
  • Elbow asymmetry improved with age in hCP children, with differences from TD children resolving by adolescence.

Conclusions:

  • Children with hCP exhibit greater peak elbow flexion on the affected side during gait compared to TD children.
  • Elbow flexion angles converge between groups with age, decreasing in hCP and increasing in TD children.
  • Improved elbow symmetry in hCP children with age suggests potential for optimizing surgical intervention timing.
Abstract

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