Body mass index measures in children with cerebral palsy related to gross motor function classification: a

Edward A Hurvitz1, Liza B Green, Joseph E Hornyak

  • 1Department of Physical Medicine and Rehabilitation, University of Michigan Health Systems, Ann Arbor, Michigan, USA.

Insights

Overweight and obesity are prevalent in children with cerebral palsy (CP), especially those who are ambulatory. Further research is needed to confirm these findings using more precise measurements.

Area of Science:

  • Pediatric Rehabilitation
  • Clinical Nutrition
  • Child Neurology

Background:

  • Cerebral palsy (CP) affects motor function, potentially impacting nutritional status and weight management.
  • Overweight and obesity are growing concerns in pediatric populations, with potential implications for children with disabilities.

Purpose of the Study:

  • To determine the prevalence of overweight and obesity in a clinic-based population of children with cerebral palsy (CP).
  • To examine the association between gross motor function status and weight status in children with CP.

Main Methods:

  • Retrospective chart review of 137 children (2-18 years) with CP treated at a pediatric rehabilitation clinic.
  • Body Mass Index (BMI) calculated from height and weight; Gross Motor Function Classification Scale (GMFCS) levels I-V recorded.
  • BMI percentiles compared to CDC growth standards; associations analyzed using Pearson's chi-squared test.

Main Results:

  • 29.1% of children with CP were overweight or at risk for overweight.
  • Ambulatory children (GMFCS I-II) showed a trend towards higher overweight prevalence (22.7%) compared to nonambulatory children (GMFCS IV-V, 9.6%).
  • Underweight was significantly more prevalent in nonambulatory children (P < 0.01).

Conclusions:

  • Children with CP in this cohort exhibit a high prevalence of overweight and risk of overweight, particularly ambulatory individuals.
  • Underweight is a significant issue for nonambulatory children with CP.
  • Further investigation with more accurate measures than BMI is recommended to clarify weight-related risks in this population.
Abstract

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