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[Correlation Between Gross Motor Function and Risk Factors in Children with Cerebral Palsy:an Epidemiology Study in
Insights
This study found no correlation between identified risk factors and the severity of gross motor function in children with cerebral palsy (CP). These findings suggest that known risk factors cannot predict motor outcomes in CP patients.
Area of Science:
- Pediatrics
- Neurology
- Rehabilitation Medicine
Background:
- Cerebral palsy (CP) is a group of disorders affecting movement and posture, with varying degrees of severity.
- Identifying predictors of gross motor function is crucial for early intervention and management in children with CP.
Purpose of the Study:
- To investigate the potential correlation between various risk factors and the severity of gross motor function in children diagnosed with cerebral palsy.
- To determine if established risk factors can predict the Gross Motor Function Classification System (GMFCS) levels in pediatric CP cases.
Main Methods:
- Retrospective analysis of 333 children (aged 2-12) diagnosed with CP in Chengdu.
- Gross motor function assessed using the Gross Motor Function Classification System (GMFCS).
- Univariate and multivariate logistic regression analyses employed to examine correlations between CP risk factors and GMFCS grades.
Main Results:
- The study identified 30 risk factors, with premature delivery, low body mass, and neonatal hypoxic-ischemic encephalopathy being most prevalent.
- Univariate logistic regression analysis revealed no significant correlation between any CP risk factors and GMFCS grades.
- Stepwise multiple logistic regression analysis also indicated that none of the investigated risk factors were significant predictors in the regression model.
Conclusions:
- The findings indicate that common risk factors associated with cerebral palsy do not serve as reliable predictors for the severity of gross motor function.
- Further research is needed to identify potential factors that may influence or predict motor outcomes in children with CP.
Objectives:
To investigate the correlation between gross motor function and risk factors in children with cerebral palsy(CP).
Methods:
We included the children aged 2-12 years old who were diagnosed with CP and registered in Chengdu Federation of Disabled Persons in 20 districts of Chengdu. Gross motor function was estimated by gross motor function classification system (CMFCS). Risk factors of the CP children were investigated retrospectively. Univariate and multivariate logistic regression analyses were used to analysis the correlation of the CP risk factors and GMFCS grades in the children with CP.
Results:
A total of 333 children were identified with a male to female ratio of 1.15,an average age of (6.32±2.74) years old, and dominated in 6-<12 age group (197 cases,59.16%) and spastic CP (228 cases,68.47%).Thirty risk factors for CP were included, among which the majors were listed as premature delivery (185 cases,55.56%),low body mass (150 cases,45.05%),and neonatal hypoxic-ischemic encephalopathy (104 cases,31.23%).No risk factors of CP were found correlating with GMFCS grades by univariate logistic regression analysis. Stepwise multiple logistic regression analysis showed no risk factors of CP in the regression equation.
Conclusions:
The risk factors of CP can not be used to predict the severity of gross motor function of children with CP.
