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.

Details

Title
Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study
Author
Boswell, Melissa A. 1   VIAFID ORCID Logo  ; Kidziński, Łukasz 2   VIAFID ORCID Logo  ; Hicks, Jennifer L. 1 ; Uhlrich, Scott D. 3 ; Falisse, Antoine 1   VIAFID ORCID Logo  ; Delp, Scott L. 4 

1  Stanford University, Department of Bioengineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
2  Stanford University, Department of Mechanical Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Clario, San Mateo, USA (GRID:grid.168010.e) 
3  Stanford University, Department of Mechanical Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
4  Stanford University, Department of Bioengineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Stanford University, Department of Mechanical Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
Pages
32
Publication year
2023
Publication date
Dec 2023
Publisher
Nature Publishing Group
e-ISSN
23986352
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41746-023-00775-1
ProQuest document ID
2782562237
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.