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Implications of intra-limb variability on asymmetry analyses
Timothy A Exell1, Gareth Irwin, Marianne J R Gittoes
1School of Electronics and Computer Science, University of Southampton, UK. te1@ecs.soton.ac.uk
Journal of Sports Sciences
|January 18, 2012
Summary
Including intra-limb variability is crucial for accurate asymmetry analysis in athletes. Ignoring it can lead to misleading results in kinematic and kinetic data during running gait analysis.
Area of Science:
- Biomechanics
- Sports Science
- Human Movement Analysis
Background:
- Asymmetry quantification in sports often focuses on discrete kinematic and kinetic variables.
- Intra-limb variability has been underrepresented in previous asymmetry analyses.
- Understanding limb variability is essential for accurate performance and injury risk assessment.
Purpose of the Study:
- To investigate the impact of intra-limb variability on calculating lower-limb asymmetry during sprint running.
- To inform future analyses by highlighting the importance of including intra-limb variability.
- To determine if intra-limb variability affects the significance of observed asymmetries.
Main Methods:
- Collected synchronized lower-limb kinematic and kinetic data from eight trained athletes during maximal velocity sprinting.
- Quantified asymmetry using a modified symmetry angle for selected variables.
- Calculated significant differences (P < 0.05) between left and right limb values to assess intra-limb variability relative to between-limb differences.
Main Results:
- Significant asymmetry was found in only 39% of kinematic and 23% of kinetic variables.
- Large kinetic asymmetry values were observed in some athletes but were not statistically significant due to high intra-limb variability.
- Asymmetries that were significant varied between individual athletes.
Conclusions:
- Excluding intra-limb variability can lead to misleading conclusions in asymmetry analyses.
- Intra-limb variability significantly influences the interpretation of kinematic and kinetic asymmetry.
- Future running gait analyses should incorporate intra-limb variability for more accurate assessments and to avoid reporting non-significant asymmetries.
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