Investigation of non-motor symptoms, balance, muscle strength, and functional mobility in patients with parkinson’s disease

Ünlüer, Nezehat Özgül; Ateş, Yasemin; Balbaba, Ayşe; Karadağ, Yeşim Sücüllü

doi:10.1080/08990220.2020.1834377

Cited by 4 publications

(8 citation statements)

References 39 publications

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“…27 Along with the motor symptoms, non-motor symptoms are highly prevalent in PD and can be correlated with the time spent to perform the TUG test. 10,12 However, to the best of our knowledge, the present study is the first to investigate the effects of depression on FM, using mPAS. The results demonstrate that depression explained 9% of the FM variance.…”

Section: Discussionmentioning

confidence: 88%

“…9 However, few studies have investigated the relationship between non-motor symptoms and FM in individuals with PD. [10][11][12] In these studies, there was an isolated assessment of a non-motor symptom, 10,11 or non-motor symptoms were assessed in a generic way, without identifying which impairment among those had the greatest impact on FM. 12 Depression and fatigue are two of these important nonmotor symptoms to investigate.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] In these studies, there was an isolated assessment of a non-motor symptom, 10,11 or non-motor symptoms were assessed in a generic way, without identifying which impairment among those had the greatest impact on FM. 12 Depression and fatigue are two of these important nonmotor symptoms to investigate. Depression has been found to predict activities of daily living, 13 and fatigue was predictor of functional capacity 11 in individuals with PD.…”

Section: Introductionmentioning

confidence: 99%

“…TUG and the Modified Parkinson Activity Scale (mPAS) have been designed as validated measurements to assess FM in individuals with PD. 14 Although the TUG is a widely used clinical assessment tool, [10][11][12] the mPAS is specifically designed for the PD population. 14 This tool is a capacity measure that evaluates the quality of the movement while patients perform the tasks.…”

Section: Introductionmentioning

confidence: 99%

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Functional mobility in Parkinson’s disease: associations with motor and non-motor symptoms

et al. 2021

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Functional mobility (FM) is the ability of people to move in different environments, including at home, at work, and in the community, in order to perform functional activities or tasks, independently and safely. Objective: The aim of the present study was to investigate which motor and/or non-motor symptoms (severity of the motor symptoms, depressive symptoms, and fatigue) have the greatest impact on FM assessed by Modified Parkinson Activity Scale (mPAS) in individuals with Parkinson’s disease (PD). Method: The outcome of interest was FM assessed by mPAS, which includes 14 activities covering three domains (chair transfers, gait akinesia, and bed mobility). Unified Parkinson’s Disease Rating Scale (UPDRS) Part III, Beck Depression Inventory (BDI), and Parkinson’s Disease Fatigue Scale-16 (PFS-16) were used. Results: Forty-four individuals (age: 65±11 years) with PD (PD duration: 7±4 years) were eligible to take part in this cross-sectional, exploratory study. The motor symptoms alone explained 36% (F= 17.85, p<0.001) of the variance in the FM scores. When depressive symptoms were included in the model, the explained variance increased to 45% (F= 12.77, p<0.001). This indicated that individuals who had lower motor and depressive symptoms were less likely to have limitations in FM. Conclusion: The findings of the present study demonstrated that motor symptoms were the best potential predictor of FM in individuals with PD, according to mPAS scores. Additionally, the presence of depressive symptoms should not be overlooked.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Functional mobility in Parkinson’s disease: associations with motor and non-motor symptoms

et al. 2021

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“…All participants were given an explanation about the testing equipment and the procedure of assessment. The participant was tested in a sitting position with the chest and both shoulders against the chair seat, and the hip and knee angles at 90° [ 32 ]. The participants’ trunk was stabilized by two crossed straps from the contralateral shoulder across the chest and fixed with a buckle.…”

Section: Methodsmentioning

confidence: 99%

Effects of a Graphene Heating Device on Fatigue Recovery of Biceps Brachii

Liu

Jiang

et al. 2023

Bioengineering

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Far-infrared (FIR) is considered to be an ideal method to promote fatigue recovery due to its high permeability and strong radiation. In this paper, we report a flexible and wearable graphene heating device to help fatigue recovery of human exercise by using its high FIR divergence property. This study compares two different fatigue recovery methods, graphene far-infrared heating device hot application and natural recovery, over a 20 min recovery time among the male colleges’ exhaustion exercise. Experimental results show that the achieved graphene device holds excellent electro-thermal radiation conversion efficiency of 70% and normal total emissivity of 89%. Moreover, the graphene FIR therapy in our work is more energy-efficient, easy to use, and wearable than traditional fatigue recovery methods. Such an anti-fatigue strategy offers new opportunities for enlarging potential applications of graphene film in body science, athletic training recovery, and wearable devices.

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Correlation Analysis of Lower-Limb Muscle Function With Clinical Status, Balance Tests, and Quality of Life in People With Parkinson Disease

Sá

Ferreira

Lemos

et al. 2022

Topics in Geriatric Rehabilitation

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To investigate the correlation of lower-limb muscle function with clinical status, balance, and quality of life in individuals with Parkinson disease (PD). Methods: Twenty-five participants were included. Outcome measures were assessed through scales and questionnaires. Quadriceps muscle function was assessed through a maximal isometric voluntary contraction. Spearman's correlation coefficient (ρ) analysis was performed. Results: Quadriceps peak force was negatively correlated with scores of the Unified Parkinson's Disease Rating Scale (UPDRS) part III (ρ = 0.610) but positively correlated with scores of the Mini-BESTest (ρ = 0.484) and the Timed Up and Go test (ρ = 0.528). The rate of force development was negatively correlated with scores of the UPDRS II (ρ = −0.437) and III (ρ = −0.577). Force variability was positively correlated with the quality of life (Parkinson's Disease Questionnaire 39; ρ = 0.455). Conclusion: Better quadriceps muscle function is associated with better clinical status, balance, and quality of life in people with PD.

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Investigation of non-motor symptoms, balance, muscle strength, and functional mobility in patients with parkinson’s disease

Cited by 4 publications

References 39 publications

Functional mobility in Parkinson’s disease: associations with motor and non-motor symptoms

Functional mobility in Parkinson’s disease: associations with motor and non-motor symptoms

Effects of a Graphene Heating Device on Fatigue Recovery of Biceps Brachii

Correlation Analysis of Lower-Limb Muscle Function With Clinical Status, Balance Tests, and Quality of Life in People With Parkinson Disease

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