ArticlePloS one2015
Accelerometer Cut Points for Physical Activity Assessment of Older Adults with Parkinson's Disease.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Monitoring training activity during gait-related balance exercise in individuals with Parkinson's disease: a proof-of-concept-study.BMC neurology · 2017Trial
- Functional Physical Rehabilitation and Self-Assessment of Physical Activity in Parkinson's Disease.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Preserved Thermoregulation in Huntington's Disease: Insights from an Observational Case-Control Study.Movement disorders clinical practice · 2025Observational
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Feasibility of a laboratory-based protocol for measuring energy expenditure and accelerometer calibration in adults with intellectual disabilities.Pilot and feasibility studies · 2024Article
- Utilising telehealth to support exercise and physical activity in people with Parkinson disease: a program evaluation using mixed methods.BMC health services research · 2023Article
- Calibration of hip accelerometers for measuring physical activity and sedentary behaviours in adults with Down syndrome.Journal of intellectual disability research : JIDR · 2023Article
- Accelerometer Cut-Points for Physical Activity Assessment in Adults with Mild to Moderate Huntington's Disease: A Cross-Sectional Multicentre Study.International journal of environmental research and public health · 2022Observational
- A Comparative Study on the Influence of Undersampling and Oversampling Techniques for the Classification of Physical Activities Using an Imbalanced Accelerometer Dataset.Healthcare (Basel, Switzerland) · 2022Article
- Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke.Sensors (Basel, Switzerland) · 2022Article
- Wrist-based accelerometer cut-points for quantifying moderate-to-vigorous intensity physical activity in Parkinson's disease.Gait & posture · 2022Article
- Accelerometer Calibration: The Importance of Considering Functionality.Journal for the measurement of physical behaviour · 2021Article
- Step-rate threshold for physical activity intensity in Parkinson's disease.Acta neurologica Scandinavica · 2020Article
- Accelerometer output and its association with energy expenditure in persons with mild-to-moderate Parkinson's disease.PloS one · 2020Article
- Calibration and validation of accelerometry to measure physical activity in adult clinical groups: A systematic review.Preventive medicine reports · 2019Review
- The EXPANd trial: effects of exercise and exploring neuroplastic changes in people with Parkinson's disease: a study protocol for a double-blinded randomized controlled trial.BMC neurology · 2019Article
- A Comparison of Activity Monitor Data from Devices Worn on the Wrist and the Waist in People with Parkinson's Disease.Movement disorders clinical practice · 2019Article
- Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.Current neurology and neuroscience reports · 2019Review
- Assessing Gait in Parkinson's Disease Using Wearable Motion Sensors: A Systematic Review.Diseases (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo define accelerometer cut points for different walking speeds in older adults with mild to moderate Parkinson's disease.
methodA volunteer sample of 30 older adults (mean age 73; SD 5.4 years) with mild to moderate Parkinson's disease walked at self-defined brisk, normal, and slow speeds for three minutes in a circular indoor hallway, each wearing an accelerometer around the waist. Walking speed was calculated and used as a reference measure. Through ROC analysis, accelerometer cut points for different levels of walking speed in counts per 15 seconds were generated, and a leave-one-out cross-validation was performed followed by a quadratic weighted Cohen's Kappa, to test the level of agreement between true and cut point-predicted walking speeds.
resultsOptimal cut points for walking speeds ≤ 1.0 m/s were ≤ 328 and ≤ 470 counts/15 sec; for speeds > 1.3 m/s, they were ≥ 730 and ≥ 851 counts/15 sec for the vertical axis and vector magnitude, respectively. Sensitivity and specificity were 61%-100% for the developed cut points. The quadratic weighted Kappa showed substantial agreement: κ = 0.79 (95% CI 0.70-0.89) and κ = 0.69 (95% CI 0.56-0.82) for the vertical axis and the vector magnitude, respectively.
conclusionsThis study provides accelerometer cut points based on walking speed for physical-activity measurement in older adults with Parkinson's disease for evaluation of interventions and for investigating links between physical activity and health.
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