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

doi:10.1038/s41746-023-00775-1

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

NPJ Digit Med. 2023 Mar 4;6(1):32. doi: 10.1038/s41746-023-00775-1.

Authors

Melissa A Boswell^#¹, Łukasz Kidziński^#^{2

3}, Jennifer L Hicks⁴, Scott D Uhlrich², Antoine Falisse⁴, Scott L Delp^{4

2}

Affiliations

¹ Department of Bioengineering, Stanford University, Stanford, CA, USA. [email protected].
² Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
³ Clario, San Mateo, CA, USA.
⁴ Department of Bioengineering, Stanford University, Stanford, CA, USA.

^# Contributed equally.

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.

Abstract

Grants and funding