Classification of cerebral palsy: association between gender, age, motor type, topography and Gross Motor Function

Luzia Iara Pfeifer1, Daniela Baleroni Rodrigues Silva, Carolina Araújo Rodrigues Funayama

  • 1Ribeirão Preto Medical School, University of São Paulo. luziara@fmrp.usp.br

Insights

This study found no significant gender or age differences in gross motor function for children with cerebral palsy. However, motor type and body topography strongly correlate with functional classification and therapeutic planning.

Area of Science:

  • Neurology
  • Pediatrics
  • Rehabilitation Medicine

Background:

  • Cerebral palsy (CP) is a complex neurological disorder affecting motor function.
  • Understanding factors influencing motor function is crucial for effective intervention.

Purpose of the Study:

  • To investigate the relationship between gender, age, motor type, and body topography with gross motor function in children with CP.
  • To evaluate the utility of the Gross Motor Function Classification System (GMFCS) in understanding CP heterogeneity.

Main Methods:

  • Evaluated trunk control, postural changes, and gait in 100 children with CP (aged 5 months to 12 years).
  • Assessed children based on gender, age, motor type (hemiplegia, diplegia, quadriplegia), and body topography.
  • Classified motor function using the Gross Motor Function Classification System (GMFCS).

Main Results:

  • No significant differences were found between gender and age groups (p=0.887) or gender and motor type (p=0.731).
  • 88% of children presented with spastic quadriplegia.
  • Strong correlations were observed between motor type/topography and GMFCS levels: hemiplegics (Level I), diplegics (Level III), and quadriplegics (Level V).

Conclusions:

  • Motor type and body topography are key determinants of gross motor function in children with CP.
  • Functional classification systems like GMFCS are essential for accurate diagnosis and personalized therapeutic planning in CP.
  • Cerebral palsy management requires a multifactorial approach considering various influencing factors.