Related Experiment Video
Updated: Apr 27, 2026

07:51
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
16.4K
Classification of lower extremity movement patterns based on visual assessment: reliability and correlation with
Marcie Harris-Hayes1, Karen Steger-May, Christine Koh
1Program in Physical Therapy, Washington University School of Medicine, St Louis, MO.
Journal of Athletic Training
|June 24, 2014
Summary
Visual assessments of lower extremity movement patterns are reliable for both experienced and novice testers. These assessments accurately identify movement patterns linked to musculoskeletal injuries, aiding clinical and epidemiological studies.
Area of Science:
- Biomechanics
- Movement Science
- Sports Medicine
Background:
- Abnormal lower extremity movement patterns are linked to injury.
- Need for reliable, valid, and accessible assessment methods for musculoskeletal disorders and injury prediction.
Purpose of the Study:
- Determine the reliability of experienced and novice testers in visually assessing lower extremity movement patterns.
- Characterize the construct validity of these visual assessments.
Main Methods:
- Cross-sectional study involving 30 student athletes.
- Videos of single-legged squats were assessed by 3 testers (2 experienced, 1 novice) on 2 occasions.
- Movement classified as dynamic valgus, no change, or dynamic varus based on frontal-plane projection angle (FPPA) change.
Main Results:
- Intratester and intertester reliability showed substantial to excellent agreement (κ values 0.75–0.90).
- Visual assessment demonstrated 90% agreement with quantitative FPPA measurements (κ = 0.85).
Conclusions:
- Visual assessments of lower extremity movement patterns are reliable across different tester experience levels.
- Visual assessments align well with objective measurements, supporting their clinical and research utility.
- These assessments can aid in diagnosing musculoskeletal disorders and studying injury risk factors.

