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Reliability and validity of 2-dimensional video analysis for a running task: A systematic review
Craig P Hensley1, Dena Kontos1, Carly Feldman1
1Northwestern University Feinberg School of Medicine, Department of Physical Therapy and Human Movement Sciences, 645 N Michigan Ave, Suite 1100, Chicago, IL, 60611, United States.
Summary
Two-dimensional (2D) video analysis of running shows variable reliability and validity for joint motion. Standardized methods are needed, as categorizing movement patterns may be more effective than quantifying joint angles.
Area of Science:
- Biomechanics and Sports Science
- Motion Analysis Technology
- Running Gait Analysis
Background:
- Two-dimensional (2D) video-based motion analysis is increasingly used to assess running mechanics.
- However, the reliability and validity of these methods require thorough evaluation compared to gold-standard 3D motion analysis.
Approach:
- A systematic literature search was conducted across multiple databases (MEDLINE, Cochrane Library, EMBASE, CINAHL, PEDro, SPORTDiscus, IEEE Xplore) in March 2020, with an update in May 2021.
- Included studies assessed the reliability and/or validity of 2D video analysis during running, with 3D motion analysis serving as the reference standard.
- Eleven studies involving 251 runners were analyzed, focusing on kinematics of the pelvis/hip, knee, and ankle/foot.
Key Points:
- Studies exhibited a low-to-moderate risk of bias, but heterogeneity in designs, methods, and statistics prevented meta-analysis.
- Intrarater reliability (ICC range: 0.56-1.00) generally surpassed interrater reliability (ICC range: 0.31-1.00).
- Validity (ICC range: 0.06-0.89) varied from poor to good, with one study showing good validity for foot strike pattern categorization.
Conclusions:
- Current 2D video-based motion analysis methods for running exhibit a wide range of reliability and validity.
- Standardization of 2D video analysis techniques for running is crucial for consistent and accurate biomechanical assessments.
- Categorizing running movement patterns may offer greater clinical utility than precise angular quantification of joint kinematics.
