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Physical function decline due to aging or disease can be assessed with quantitative motion analysis, but this currently requires expensive laboratory equipment. We introduce a self-guided quantitative motion analysis of the widely used five-repetition sit-to-stand test using a smartphone. Across 35 US states, 405 participants recorded a video performing the test in their homes. We found that the quantitative movement parameters extracted from the smartphone videos were related to a diagnosis of osteoarthritis, physical and mental health, body mass index, age, and ethnicity and race. Our findings demonstrate that at-home movement analysis goes beyond established clinical metrics to provide objective and inexpensive digital outcome metrics for nationwide studies.
Full text: Boswell, Melissa A et al. “Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study.” NPJ digital medicine vol. 6,1 32. 4 Mar. 2023, doi:10.1038/s41746-023-00775-1