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Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

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...

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Detalles Bibliográficos
Autores principales: Boswell, Melissa A., Kidziński, Łukasz, Hicks, Jennifer L., Uhlrich, Scott D., Falisse, Antoine, Delp, Scott L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985590/
https://www.ncbi.nlm.nih.gov/pubmed/36871119
http://dx.doi.org/10.1038/s41746-023-00775-1
Descripción
Sumario: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.