Title

Kinematic and neuromuscular relationships between lower extremity clinical movement assessments^*

Authors

Timothy C. Mauntel, Walter Reed National Military Medical Center
Tyler R. Cram, Steadman Hawkins Clinic
Barnett S. Frank, The University of North Carolina at Chapel Hill
Rebecca L. Begalle, Daemen College
Marc F. Norcross, Oregon State University
J. Troy Blackburn, The University of North Carolina at Chapel Hill
Darin A. Padua, The University of North Carolina at Chapel Hill

Department

Athletic Training

Document Type

Article

Publication Source

Sports Biomechanics

Publication Date

2018-04-03

Volume

17

Issue

2

First Page

273

Last Page

284

Abstract

© 2017 Informa UK Limited, trading as Taylor & Francis Group. Lower extremity injuries have immediate and long-term consequences. Lower extremity movement assessments can assist with identifying individuals at greater injury risk and guide injury prevention interventions. Movement assessments identify similar movement characteristics and evidence suggests large magnitude kinematic relationships exist between movement patterns observed across assessments; however, the magnitude of the relationships for electromyographic (EMG) measures across movement assessments remains largely unknown. This study examined relationships between lower extremity kinematic and EMG measures during jump landings and single leg squats. Lower extremity three-dimensional kinematic and EMG data were sampled from healthy adults (males = 20, females = 20) during the movement assessments. Pearson correlations examined the relationships of the kinematic and EMG measures and paired samples t-tests compared mean kinematic and EMG measures between the assessments. Overall, significant moderate correlations were observed for lower extremity kinematic (ravg = 0.41, rrange = 0.10–0.61) and EMG (ravg = 0.47, rrange = 0.32–0.80) measures across assessments. Kinematic and EMG measures were greater during the jump landings. Jump landings and single leg squats place different demands on the body and necessitate different kinematic and EMG patterns, such that these measures are not highly correlated between assessments. Clinicians should, therefore, use multiple assessments to identify aberrant movement and neuromuscular control patterns so that comprehensive interventions can be implemented.

Keywords

Biomechanics, electromyography, jump landing, squat

DOI

10.1080/14763141.2017.1348536

Recommended Citation

Mauntel, Timothy C.; Cram, Tyler R.; Frank, Barnett S.; Begalle, Rebecca L.; Norcross, Marc F.; Blackburn, J. Troy; and Padua, Darin A., "Kinematic and neuromuscular relationships between lower extremity clinical movement assessments^*" (2018). Articles & Book Chapters. 210.
https://digitalcommons.daemen.edu/faculty_scholar/210

https://doi.org/10.1080/14763141.2017.1348536