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Inter- and intra-rater agreement of static posture analysis using a mobile application
David M Boland1, Eric V Neufeld1, Jack Ruddell1
1Exercise Physiology Research Laboratory, Departments of Medicine and Physiology, David Geffen School of Medicine at the University of California, Los Angeles, USA.
Journal of Physical Therapy Science
|February 9, 2017
Summary
The PostureScreen Mobile app shows good reliability for assessing posture, especially when users wear minimal clothing. This tool offers repeatable measurements for anatomical landmarks and may help diagnose forward head posture.
Area of Science:
- Biomechanical assessment
- Digital health technology
- Musculoskeletal diagnostics
Background:
- Static standing posture assessment is crucial for identifying musculoskeletal imbalances.
- Mobile applications offer accessible and cost-effective tools for postural analysis.
- Evaluating the reliability of new technologies like PostureScreen Mobile (PSM) is essential for clinical adoption.
Purpose of the Study:
- To assess the intra- and inter-rater agreement of the PostureScreen Mobile (PSM) application for static standing posture evaluation.
- To determine the reliability of PSM measurements across different examiner experience levels and clothing conditions.
Main Methods:
- Three examiners with varying experience used PSM to assess 10 subjects on two separate days.
- Anterior and right lateral images were captured, with 17 anatomical landmarks identified.
- Intraclass correlation coefficients (ICCs) were calculated for 13 postural measures to evaluate agreement.
Main Results:
- Inter-rater agreement was substantial to almost perfect across various measures, particularly with minimal clothing.
- Intra-rater agreement was also substantial to almost perfect for most measures when subjects wore minimal clothing.
- The study identified specific postural measures with high reliability using the PSM application.
Conclusions:
- PostureScreen Mobile (PSM) is a reliable and repeatable tool for assessing static standing posture.
- Minimal clothing enhances the inter- and intra-rater agreement of PSM measurements.
- PSM demonstrates potential utility in diagnosing conditions like forward head posture.
