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Shared Strides: Community-based, high-throughput biomechanics data collection in knee osteoarthritis
Jenna M Qualter1, Ryan C McCloskey2, Kathryn A Stofer3
1Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Medrxiv : the Preprint Server for Health Sciences
|April 3, 2026
Summary
Community-based biomechanics assessments for knee osteoarthritis (OA) were well-received, improving research engagement. This approach facilitated larger, more representative sample sizes by utilizing accessible community sites.
Area of Science:
- Biomechanics
- Osteoarthritis Research
- Community-Based Research
Background:
- Knee osteoarthritis (OA) research often faces challenges in participant recruitment and engagement.
- High-throughput biomechanics assessments can provide valuable insights into OA.
- Traditional research settings may limit accessibility for OA populations.
Purpose of the Study:
- To assess the acceptability of a high-throughput, community-based biomechanics protocol for individuals with knee OA.
- To evaluate the recruitment implications of conducting biomechanics assessments at community sites.
- To compare participant engagement and preferences between on-campus and community-based research locations.
Main Methods:
- A cross-sectional study was conducted during the Shared Strides Study.
- High-throughput markerless biomechanics data were collected during activities of daily living (ADLs) at community sites.
- Participant acceptability was assessed via a custom questionnaire; recruitment characteristics were compared across sites.
Main Results:
- The community-based biomechanics data collection approach was well-received by participants.
- Community sites showed higher engagement from walk-in and new research participants (40%).
- Familiarity with and proximity to data collection sites influenced research engagement.
Conclusions:
- Integrating markerless motion capture with community-based research enhances participant experience.
- This approach can facilitate larger, more heterogeneous sample sizes in OA biomechanics research.
- Community-based methods may reduce bias and homogeneity in current OA research.

