ArticleSensors (Basel, Switzerland)2023
Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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
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Who cites it
16 citing papers in PubMed.
- An Information-Driven Approach for the Early Health Technology Sustainability Assessment and the Frugal Design of the Internet of Medical Things: Exploratory Study of Wearable Activity Monitoring Devices.JMIR mHealth and uHealth · 2026Article
- Does cognition affect supervised and unsupervised mobility differently in people with Parkinson's disease? A cross-sectional study.Journal of neuroengineering and rehabilitation · 2026Article
- Daily steps are a predictor of, but perhaps not a risk factor for Parkinson's disease: findings from the UK Biobank.NPJ Parkinson's disease · 2025Article
- Multidisciplinary inpatient care for Parkinson's disease: a single-centre cohort study on improvements in gait, overall motor function, and quality of life.Neurological research and practice · 2025Article
- Minimal Clinically Important Difference of Average Daily Steps Measured Through a Consumer Smartwatch in People With Mild-to-Moderate Parkinson Disease: Cross-Sectional Study.JMIR mHealth and uHealth · 2025Article
- Associations Between Daily Step Counts and Sleep Parameters in Parkinson's Disease: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Digital Health in Parkinson's Disease and Atypical Parkinsonism-New Frontiers in Motor Function and Physical Activity Assessment: Review.Journal of clinical medicine · 2025Review
- Amplifying walking activity in Parkinson's disease through autonomous music-based rhythmic auditory stimulation: randomized controlled trial.NPJ Parkinson's disease · 2025Article
- Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study.JMIR formative research · 2025Article
- Abnormal arm swing movements in Parkinson's disease: onset, progression and response to L-Dopa.Journal of neuroengineering and rehabilitation · 2025Article
- A framework to standardize gait study protocols in Parkinson's disease.Journal of Parkinson's disease · 2025Article
- Exploring Context Allows Us to Better Understand Physical Activity in People with and Without Parkinson's Who Have Fallen: A Mixed Methods Study.Geriatrics (Basel, Switzerland) · 2025Article
- Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.Scientific reports · 2024Article
- Unveiling the Unpredictable in Parkinson's Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life.Bioengineering (Basel, Switzerland) · 2024Article
- Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist-Worn Accelerometer Data: Development and Validation of ElderNet.Research square · 2024Article
- L-Dopa/Carbidopa intestinal gel infusion in advanced Parkinson's disease: real-life mobility insights from wearable sensors.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Daily steps could be a valuable indicator of real-world ambulation in Parkinson's disease (PD). Nonetheless, no study to date has investigated the minimum number of days required to reliably estimate the average daily steps through commercial smartwatches in people with PD. Fifty-six patients were monitored through a commercial smartwatch for 5 consecutive days. The total daily steps for each day was recorded and the average daily steps was calculated as well as the working and weekend days average steps. The intraclass correlation coefficient (ICC) (3,k), standard error of measurement (SEM), Bland-Altman statistics, and minimum detectable change (MDC) were used to evaluate the reliability of the step count for every combination of 2-5 days. The threshold for acceptability was set at an ICC ≥ 0.8 with a lower bound of CI 95% ≥ 0.75 and a SAM < 10%. ANOVA and Mann-Whitney tests were used to compare steps across the days and between the working and weekend days, respectively. Four days were needed to achieve an acceptable reliability (ICC range: 0.84-0.90; SAM range: 7.8-9.4%). In addition, daily steps did not significantly differ across the days and between the working and weekend days. These findings could support the use of step count as a walking activity index and could be relevant to developing monitoring, preventive, and rehabilitation strategies for people with PD.
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Registered trials
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