Related Experiment Video
Updated: Apr 28, 2026

Lower Limb Biomechanical Analysis of Healthy Participants
Published on: April 15, 2020
Consistency of clinical biomechanical measures between three different institutions: implications for multi-center
Gregory D Myer, Samuel C Wordeman1, Dai Sugimoto
1Departments of Physiology & Cell Biology, Family Medicine and Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Purpose/Background:
Multi-center collaborations provide a powerful alternative to overcome the inherent limitations to single-center investigations. Specifically, multi-center projects can support large-scale prospective, longitudinal studies that investigate relatively uncommon outcomes, such as anterior cruciate ligament injury. This project was conceived to assess within- and between-center reliability of an affordable, clinical nomogram utilizing two-dimensional video methods to screen for risk of knee injury. The authors hypothesized that the two-dimensional screening methods would provide good-to-excellent reliability within and between institutions for assessment of frontal and sagittal plane biomechanics.
Methods:
Nineteen female, high school athletes participated. Two-dimensional video kinematics of the lower extremity during a drop vertical jump task were collected on all 19 study participants at each of the three facilities. Within-center and between-center reliability were assessed with intra- and inter-class correlation coefficients.
Results:
Within-center reliability of the clinical nomogram variables was consistently excellent, but between-center reliability was fair-to-good. Within-center intra-class correlation coefficient for all nomogram variables combined was 0.98, while combined between-center inter-class correlation coefficient was 0.63.
Conclusions:
Injury risk screening protocols were reliable within and repeatable between centers. These results demonstrate the feasibility of multi-site biomechanical studies and establish a framework for further dissemination of injury risk screening algorithms. Specifically, multi-center studies may allow for further validation and optimization of two-dimensional video screening tools.
Level Of Evidence:
2b.
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