ArticleFrontiers in aging neuroscience2023
Unsupervised but not supervised gait parameters are related to fatigue in Parkinson's disease: a pilot study.
Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Frailty in Parkinson's disease: time to integrate it into treatment decision-making?Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Wearable Inertial Sensor Analysis of Turning Performance Reveals Motor Reserve Effects in Drug-Naïve Parkinson's Disease.Sensors (Basel, Switzerland) · 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
- Fatigue-Inducing Protocols in Parkinson's Disease: Implications for Gait Assessment and Rehabilitation: A Systematic Review.Parkinson's disease · 2026Review
- Systematic review: digital biomarkers of fatigue in chronic diseases.NPJ digital medicine · 2025Article
- A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease.NPJ digital medicine · 2025Article
- Extensive digital health technology assessment detects subtle motor impairment in mild and asymptomatic Pompe disease.Scientific reports · 2025Article
- A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects.Nature communications · 2024Article
- Complexities and challenges of translating intervention success to real world gait in people with Parkinson's disease.Frontiers in neurology · 2024Review
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Fatigue is a common and disabling symptom in Parkinson's disease (PD), also affecting gait. Detection of fatigue-associated changes of gait using mobile health technologies (MHT) could become increasingly effective. Methods: Cognitively unimpaired PD patients without fluctuations (UPDRS IV < 1) underwent a standard neurological assessment including the PD-Fatigue scale (PFS-16). PD patients with (PD-F) and without fatigue (PD-N) were matched for age, sex, cognitive function and disease severity. Each participant underwent MHT gait assessment under supervised condition (SC) and unsupervised condition (UC). Results: Gait parameters of 21 PD-F and 21 PD-N did not significantly differ under SC. Under UC, PD-F showed higher step time, step time variability and asymmetry index compared to PD-N and the PFS-16 correlated with step time. Conclusion: This is the first MHT-based study with PD patients showing a correlation between fatigue and gait parameters. In addition, the data collected suggest that UC is clearly superior to SC in addressing this question.
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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.