| Id : | 2351 | |
Author : | Boswell M.A.; Kidziński Ł.; Hicks J.L.; Uhlrich S.D.; Falisse A.; Delp S.L. | |
Title | Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study |
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| Reference : | Boswell M.A.; Kidziński Ł.; Hicks J.L.; Uhlrich S.D.; Falisse A.; Delp S.L. Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study,npj Digital Medicine 6 1 |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149959446&doi=10.1038%2fs41746-023-00775-1&partnerID=40&md5=6f3cec0c819d6f52668039f7bd162141 |
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| 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. © 2023, The Author(s). |
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