ArticleJMIR mHealth and uHealth2018
Counting Steps in Activities of Daily Living in People With a Chronic Disease Using Nine Commercially Available Fitness Trackers: Cross-Sectional Validity Study.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05605912 (Efficacy of the Myosuit for Increasing Daily Life Gait Performance in the Home and Community Setting and Gait Capacity in People With Incomplete Spinal Cord Injury), which is not on this map. Cited by 20 papers, 3 of them syntheses that pooled it.
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.
Efficacy of the Myosuit for Increasing Daily Life Gait Performance in the Home and Community Setting and Gait Capacity in People With Incomplete Spinal Cord Injury
Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review.Journal of medical Internet research · 2022Pooled it
- The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Validity and Wear Compliance of Wrist-Worn Consumer Activity Trackers Among Japanese School-Aged Children Under Free-Living Conditions.Children (Basel, Switzerland) · 2026Article
- Activity Trackers in Physical Therapy for People With Chronic Obstructive Pulmonary Disease in the Netherlands: Cross-Sectional Study on Current Use and Implementation Determinants.JMIR formative research · 2025Article
- Bridging UTAUT and HBM: determinants of wearable device adoption among chronic disease patients.Frontiers in public health · 2025Article
- Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities.International journal of environmental research and public health · 2024Review
- Accuracy of consumer-based activity trackers to measure and coach patients with lower limb lymphoedema.PloS one · 2024Article
- Beyond the EHR: How Digital Health Tools Foster Participatory Health and Self-Care for Patients with Diabetes.American journal of medicine open · 2023Article
- Person-Specific Template Matching Using a Dynamic Time Warping Step-Count Algorithm for Multiple Walking Activities.Sensors (Basel, Switzerland) · 2023Article
- Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review.BMC sports science, medicine & rehabilitation · 2023Article
- The Accuracy of Commercially Available Fitness Trackers in Patients after Stroke.Sensors (Basel, Switzerland) · 2022Article
- Comparison of Wrist- and Hip-Worn Activity Monitors When Meeting Step Guidelines.Preventing chronic disease · 2022Article
- Using an Activity Tracker in Healthcare: Experiences of Healthcare Professionals and Patients.International journal of environmental research and public health · 2021Article
- Step and Distance Measurement From a Low-Cost Consumer-Based Hip and Wrist Activity Monitor: Protocol for a Validity and Reliability Assessment.JMIR research protocols · 2021Article
- Loss-Framed Financial Incentives With a Wearable Device for Secondary Prevention of Ischemic Heart Disease: Stepping Up to the Challenge?Journal of the American Heart Association · 2018Article
- The Validation of a Pocket Worn Activity Tracker for Step Count and Physical Behavior in Older Adults during Simulated Activities of Daily Living.Gerontology & geriatric medicineArticle
- Wearable Fitness Trackers to Predict Clinical Deterioration in Maintenance Hemodialysis: A Prospective Cohort Feasibility Study.Kidney medicineArticle
- A Feasibility Study for Teaching Older Kidney Transplant Recipients How to Wear and Use an Activity Tracker to Promote Daily Physical Activity.Nephrology nursing journal : journal of the American Nephrology Nurses' AssociationArticle
- Engaging Older Adults With Parkinson's Disease in Physical Activity Using Technology: A Feasibility Study.Gerontology & geriatric medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeasuring physical activity with commercially available activity trackers is gaining popularity. People with a chronic disease can especially benefit from knowledge about their physical activity pattern in everyday life since sufficient physical activity can contribute to wellbeing and quality of life. However, no validity data are available for this population during activities of daily living.
objectiveThe aim of this study was to investigate the validity of 9 commercially available activity trackers for measuring step count during activities of daily living in people with a chronic disease receiving physiotherapy.
methodsThe selected activity trackers were Accupedo (Corusen LLC), Activ8 (Remedy Distribution Ltd), Digi-Walker CW-700 (Yamax), Fitbit Flex (Fitbit inc), Lumoback (Lumo Bodytech), Moves (ProtoGeo Oy), Fitbit One (Fitbit inc), UP24 (Jawbone), and Walking Style X (Omron Healthcare Europe BV). In total, 130 persons with chronic diseases performed standardized activity protocols based on activities of daily living that were recorded on video camera and analyzed for step count (gold standard). The validity of the trackers' step count was assessed by correlation coefficients, t tests, scatterplots, and Bland-Altman plots.
resultsThe correlations between the number of steps counted by the activity trackers and the gold standard were low (range: -.02 to .33). For all activity trackers except for Fitbit One, a significant systematic difference with the gold standard was found for step count. Plots showed a wide range in scores for all activity trackers; Activ8 showed an average overestimation and the other 8 trackers showed underestimations.
conclusionsThis study showed that the validity of 9 commercially available activity trackers is low measuring steps while individuals with chronic diseases receiving physiotherapy engage in activities of daily living.
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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.