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Gait analysis in cerebral palsied and nonhandicapped children
Insights
Children with cerebral palsy (CP) show greater gait variability than typically developing children. This variability relates to handicap severity, suggesting altered motor control in less affected CP individuals.
Area of Science:
- Biomechanics
- Pediatric Neurology
- Motor Control
Background:
- Understanding gait development and deviations is crucial for pediatric rehabilitation.
- Cerebral palsy (CP) significantly impacts motor function, including gait patterns.
- Objective gait analysis methods are needed to complement clinical assessments.
Purpose of the Study:
- To evaluate and compare gait patterns in children with and without cerebral palsy.
- To quantify gait variability in nonhandicapped children and children with CP.
- To investigate the relationship between gait variability, handicap severity, and motor control in CP.
Main Methods:
- Computerized high-speed cinematography was used to analyze gait patterns.
- Gait variability was measured over 10 nonconsecutive cycles for 39 nonhandicapped children and 6 children with CP.
- Stride length, gait velocity, and range of motion were assessed.
Main Results:
- Normal 9-year-old children exhibited gait patterns similar to adults.
- Children with CP displayed significantly greater intrasubject gait variations than nonhandicapped peers.
- Stride length, gait velocity, and range of motion correlated with the severity of physical handicap in CP.
Conclusions:
- Children with CP exhibit increased gait variability, particularly in milder cases, indicating a potential trade-off between adaptability and automatic motor control.
- Gait analysis in CP reveals that less handicapped individuals may have greater capacity for pattern variation but less automatic motor control.
- Computerized gait analysis offers valuable supplementary data for clinical assessments of children with cerebral palsy.
Abstract:
The gait patterns of 39 nonhandicapped children and six children with cerebral palsy (CP) were evaluated using computerized high-speed cinematography. Variability of gait was measured during 10 nonconsecutive cycles for each subject. Gait in normal 9-year-old children was found to be similar to that observed in adults. Children with CP demonstrated greater intrasubject variations in individual gait components compared to their nonhandicapped peers. Stride length, gait velocity, and range of motion were related to the severity of physical handicap. Intraindividual variability was greater among subjects with CP classified as mildly spastic than in those considered to have only moderate neurologic impairment. This may signify that less handicapped children are capable of varying the components of their walking pattern to a larger extent than those more severely affected, but at the same time do not possess the same degree of automatic motor control as nonhandicapped children. Computerized gait analysis can be valuable in supplementing routine clinical gait analysis in CP.