Biomechanics
Weak Correlation between the Normalized Symmetry Index and Other Symmetry Measures in Patients following an Anterior Cruciate Ligament Reconstruction
Jenna Qualter
Undergraduate Research Assistant
Virginia Polytechnic Institute and State University
Sagamore Beach, Massachusetts, United States
Garret Burks, PhD
Postdoctoral Scholar
Virginia Polytechnic Institute and State University, United States
Robin Queen
Professor
Virginia Polytechnic Institute and State University, United States
Limb asymmetry is commonly used in the assessment of patients with an anterior cruciate ligament reconstruction (ACLR) to identify performance deficits between limbs and assist in return-to-activity decisions.2,4 Asymmetry can be evaluated by symmetry indices such as the Normalized Symmetry Index (NSI)1, Limb Symmetry Index (LSI)2,4, Absolute Symmetry Index (ASI)5, and the Symmetry Index (SI)6. The current standard for evaluating symmetry is ambiguous and appears to underestimate performance deficits.3,7 The NSI was recently developed as a universal index and compared with other symmetry metrics, however, no determination of the relationships between these measures was made. This study aims to determine the correlation between the NSI and other symmetry measures. Based on the differences between the conventional symmetry formulas, we hypothesize that the NSI will not be highly correlated with any other symmetry metric.
To determine the correlations, symmetry measures for each index were calculated using data collected from 22 young adult athletes following an ACLR and 22 control participants with no known injury during a stop-jump task. A 10-camera marker-based motion capture system was used to collect kinematic data at 120 Hz (Qualisys, Goteborg, Sweden). Ground reaction force data was collected using embedded force plates at 2400 Hz (AMTI, Watertown, MA). The absolute value of the NSI was compared to the corresponding values of the LSI, ASI, and SI for peak vertical ground reaction force (vGRF), peak knee extension moment (KEM), and frontal plane knee range of motion (KROM) using a Pearson correlation coefficient. A statistical analysis was completed with MATLAB (MathWorks, Natick, Massachusetts) at an alpha level of 0.05.
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