Trial reportBMC neurology2017
Monitoring training activity during gait-related balance exercise in individuals with Parkinson's disease: a proof-of-concept-study.
Trial report in BMC neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 2 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.
Improving Balance Function in Elderly by Progressive and Specific Training and Physical Activity- a Randomized Controlled Study.
Instrumental or Physical-exercise Rehabilitation of Balance Improve Both Balance and Gait in Parkinson's Disease.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of HiBalance training program on physical function of individuals with idiopathic Parkinson disease: a systematic review and meta-analysis.European geriatric medicine · 2023Pooled it
- Effect of Wearable Sensor-Based Exercise on Musculoskeletal Disorders in Individuals With Neurodegenerative Diseases: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Virtual Reality Rehabilitation Versus Conventional Physical Therapy for Improving Balance and Gait in Parkinson's Disease Patients: A Randomized Controlled Trial.Medical science monitor : international medical journal of experimental and clinical research · 2019Trial
- Instrumental or Physical-Exercise Rehabilitation of Balance Improves Both Balance and Gait in Parkinson's Disease.Neural plasticity · 2018Trial
- Effects of a Highly Challenging Balance Training Program on Motor Function and Brain Structure in Parkinson's Disease.Journal of Parkinson's diseaseTrial
- Fatigue Limits Motor and Cognitive Improvements after High-intensity Exercise Prior to Balance Training over Telehealth in People with Spinocerebellar Ataxia.International journal of telerehabilitation · 2025Article
- Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables.Pragmatic and observational research · 2025Review
- Advice to People with Parkinson's in My Clinic: Exercise.Journal of Parkinson's disease · 2024Article
- Exploring the Therapeutic Potential of Phytoconstituents for Addressing Neurodegenerative Disorders.Central nervous system agents in medicinal chemistry · 2024Review
- A Physical Rehabilitation Approach for Parkinson's Disease: A Systematic Literature Review.Cureus · 2023Review
- Usability and utility of a remote monitoring system to support physiotherapy for people with Parkinson's disease.Frontiers in neurology · 2023Article
- A collaborative approach to exercise provision for people with Parkinson's - a feasibility and acceptability study of the PDConnect programme [version 2; peer review: 2 approved].AMRC open research · 2021Article
- Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors.Journal of healthcare engineering · 2021Article
- Noninvasive Continuous Monitoring of Vital Signs With Wearables: Fit for Medical Use?Journal of diabetes science and technology · 2021Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the benefits of balance exercise in clinical populations, balance training programs tend to be poorly described, which in turn makes it difficult to evaluate important training components and compare between programs. However, the use of wearable sensors may have the potential to monitor certain elements of balance training. Therefore, this study aimed to investigate the feasibility of using wearable sensors to provide objective indicators of the levels and progression of training activity during gait-related balance exercise in individuals with Parkinson's disease.
methodsTen individuals with Parkinson's disease participated in 10 weeks of group training (three sessions/week) addressing highly-challenging balance exercises. The training program was designed to be progressive by gradually increasing the amount of gait-related balance exercise exercises (e.g. walking) and time spent dual-tasking throughout the intervention period. Accelerometers (Actigraph GT3X+) were used to measure volume (number of steps/session) and intensity (time spent walking >1.0 m/s) of dynamic training activity. Training activity was also expressed in relation to the participants' total daily volume of physical activity prior to the training period (i.e. number of steps during training/the number of steps per day). Feasibility encompassed the adequacy of data sampling, the output of accelerometer data and the participants' perception of the level of difficulty of training.
resultsTraining activity data were successfully obtained in 98% of the training sessions (n = 256) and data sampling did not interfere with training. Reflecting the progressive features of this intervention, training activity increased throughout the program, and corresponded to a high level of the participants' daily activity (28-43%). In line with the accelerometer data, a majority of the participants (n = 8) perceived the training as challenging.
conclusionsThe findings of this proof-of-concept study support the feasibility of applying wearable sensors in clinical settings to gain objective informative measures of gait-related balance exercise in individuals with Parkinson's disease. Still, this activity monitoring approach needs to be further validated in other populations and programs including gait-related balance exercises.
trial registrationNCT01417598 , 15th August 2011.
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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.