Can Kinematic Analysis Assess Cancer-Related Fatigue?

Cancer-related fatigue (CRF) affects ~85% of cancer survivors during treatment and ~ 50% post-treatment, impairing quality of life and physical function. Exercise-based interventions are the first line of treatment, with the American College of Sports Medicine providing evidence-based recommendations for aerobic and resistance training. Currently, CRF is primarily diagnosed through self-report, which may limit diagnostic accuracy and intervention effectiveness. The absence of objective CRF measures further hinders diagnosis and treatment. Kinematic analysis, which assesses movement to measure velocity, acceleration, and position, offers valuable biomechanical insights into physiological fatigue and functional status, critical for guiding exercise prescriptions. However, limited access to kinematic tools leaves these metrics underutilized. Therefore, a valid, feasible, and objective measure of CRF is needed. This study aims to address this gap by evaluating the feasibility (Aim 1) and efficacy (Aims 2 and 3) of combining a physical function test (30-second Sit-to-Stand, 30-STS) with kinematic analysis using OpenCap, an open-source, web-based motion capture tool. PURPOSE: To assess the feasibility and efficacy of using kinematic analysis of 30-STS to obtain objective CRF measures, in relation to subjective PROMIS-7a questionnaire scores. METHODS: Thirty-six adult cancer survivors will be recruited through the Believe in You (BIY) exercise program at the Sylvester Comprehensive Cancer Center. Before performing 30-STS, participants will complete the PROMIS-7a to capture subjective CRF measures. Kinematic analysis of vertical hip acceleration and trunk angle changes during 30-STS will be conducted using OpenCap to derive objective CRF measures. An exit survey will assess participant satisfaction. RESULTS: Based on BIY enrollment from September 2024 to February 2025 (157 sign-ups; mean age 56; 48.9% breast cancer survivors; 87.5% female), data collection and analysis is expected to conclude by February 2025. CONCLUSION: This study will assess the feasibility and potential efficacy of kinematic analysis as an objective measure of CRF, with findings available by the conference date. Supported by: University of Miami Graduate School Summer Micro Grant 2024