ArticleNPJ digital medicine2023
Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study.
Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 54 citations in OpenAlex.
- External validation of a machine learning-based web application for personalized testing of objective functioning using the five-repetition sit-to-stand test.Acta neurochirurgica · 2026Article
- Impact of Multi-View Fusion and Biomechanical Modeling on Markerless Motion Tracking.IEEE transactions on bio-medical engineering · 2026Article
- Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.JMIR research protocols · 2026Observational
- A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD.Clinics (Sao Paulo, Brazil) · 2026Article
- Smartphone-derived joint angular velocities in sit-to-stand motion provide a spatiotemporal marker for symptomatic knee osteoarthritis.Communications medicine · 2026Article
- Sit-to-Stand Power From 2D Pose Estimation as an Indicator of Muscle Strength in Older Adults.Journal of cachexia, sarcopenia and muscle · 2026Article
- MoveLabSensors (Basel, Switzerland) · 2025Article
- Video-Based Biomechanical Analysis Captures Disease-Specific Movement Signatures of Different Neuromuscular Diseases.NEJM AI · 2025Article
- mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect.IEEE transactions on bio-medical engineering · 2025Article
- Age-related differences across the adult lifespan: a comparison of six field assessments of physical function.Aging clinical and experimental research · 2025Article
- Evaluating recruitment methods for selection bias: A large, experimental study of hand biomechanics.Journal of biomechanics · 2025Article
- Complement 3 and 4 impact in osteoarthritis.Biomarkers in medicine · 2025Article
- MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture.Sensors (Basel, Switzerland) · 2024Article
- Sit-to-Stand Video Analysis-Based App for Diagnosing Sarcopenia and Its Relationship With Health-Related Risk Factors and Frailty in Community-Dwelling Older Adults: Diagnostic Accuracy Study.Journal of medical Internet research · 2023Article
- Improving Sit/Stand Loading Symmetry and Timing Through Unified Variable Impedance Control of a Powered Knee-Ankle Prosthesis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- Videos of common activities reveal movement patterns associated with biopsychosocial low back function in a worldwide cohort.Digital healthArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.