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

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

Melissa A Boswell #  1 , Łukasz Kidziński #  2   3 , Jennifer L Hicks  4 , Scott D Uhlrich  2 , Antoine Falisse  4 , Scott L Delp  4   2
Affiliations

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

Melissa A Boswell et al. NPJ Digit Med. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. An overview of our web application to collect and analyze movement data.
a Participants perform the five-repetition sit-to-stand test while an untrained individual records the test using only a smartphone or tablet from a 45-degree angle to capture a combined sagittal and frontal view. b The video is uploaded to the cloud and a computer vision algorithm, OpenPose, computes body keypoints throughout the movement. c Our tool computes the key transitions in each STS cycle (i.e., as the participant rises from the chair and returns to sitting). d Our algorithms compute the total time to complete the test and several important biomechanical parameters, like trunk angle (see Methods for details). Note: the photograph in (b) is an actor, not a study participant, who consented for their photo to be used in the publication.
Fig. 2
Fig. 2. Relationships between sit-to-stand parameters and survey measures.
a Trunk angle is larger in patients with hip or knee osteoarthritis, determined from a Pearson correlation test adjusted to control for the false discovery rate. b Trunk angle differs across race and ethnicity, determined from a Dunn’s test with multiple comparison p values adjusted to control for the false discovery rate. c Greater trunk angular acceleration is associated with a higher mental health score, determined from a Pearson correlation adjusted to control for the false discovery rate with all 21 comparisons. d Test completion times increase with older age, as determined by a t-test. In the box-and-whisker plots, the top and bottom lines of the boxes (hinges) are the first and third quartiles, respectively. The horizontal line is the median, and the whiskers extend from each hinge to the largest value no further than 1.5 times the interquartile range to the respective hinge. In the scatter plot, the gray shading around the blue regression line represents the confidence interval in the scatter plot.
See this image and copyright information in PMC

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