Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study
Melissa A. Boswell, Łukasz Kidziński, Jennifer L. Hicks, Scott D. Uhlrich, Antoine Falisse, Scott L. Delp
Abstract
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.