Perceived benefits for informal caregivers after an 8-week yoga intervention for people with Parkinson’s disease

2018 ◽  
Vol 16 (4) ◽  
pp. 23
Author(s):  
Alysha A. Walter, MS, CTRS ◽  
Marieke Van Puymbroeck, PhD, CTRS, FDRT ◽  
Brent L. Hawkins, PhD, LRT/CTRS ◽  
Kathleen Woschkolup, MD ◽  
Enrique Urrea-Mendoza, MD ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Well Being ◽  
Future Research ◽  
Small Data ◽  
Yoga Intervention ◽  
Unpaid Care ◽  
Post Test ◽  
Positive Aspects Of Caregiving

An informal caregiver (ICG) is a family member and/or friend who provides unpaid care to an individual with a disability or chronic disease. ICGs often put their healthcare second while caring for their loved ones; and this may lead to negative impacts on their well-being. ICGs attended an 8-week therapeutic yoga intervention for their care recipients with Parkinson’s disease. ICGs who participated in the yoga classes were assessed utilizing a retrospective pretest and traditional post-test to determine the presence of depressive symptoms and positive aspects of caregiving. Although the sample size was small, data revealed improvements in depressive symptoms and positive aspects of caregiving. Focus group and individual interview data revealed five qualitative categories: yoga engagement, relationship improvement, psychological improvements, functional improvements, and community engagement. Future research should expand participation of ICGs in yoga trials to determine the extent of changes in psychosocial well-being.

Predictors of Functional Improvements After Therapeutic Yoga Intervention for People with Parkinson’s Disease

2019 ◽  
Vol 30 (1) ◽  
pp. 9-18
Author(s):  
Em V. Adams ◽  
Marieke Van Puymbroeck ◽  
Alysha Walter ◽  
Brent L. Hawkins ◽  
Arlene A. Schmid ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Predictive Factors ◽  
Secondary Data ◽  
Management Training ◽  
Functional Improvement ◽  
Gait Velocity ◽  
Future Research ◽  
Yoga Therapy ◽  
Yoga Intervention

Abstract Parkinson’s disease (PD) affects nearly 10 million people worldwide, leading to decreased mobility and balance and potential loss of independence. Yoga has been associated with improved function for people with PD, but the predictive factors for improved functional outcomes as a result of yoga participation remain unexamined. The objective of this secondary data analysis was to identify predictive factors of functional improvement for people with PD after an 8-week yoga intervention. Stepwise multiple linear regression was used to identify significant predictors of improvement in balance, fall control, PD symptoms, and activity constraints. Lower cognitive functioning was predictive of improvement in perceived control over falls, body responsiveness was predictive of improvement in PD-specific symptoms, and gait velocity was predictive of improvement in balance and activity constraints. Future research is warranted to evaluate the use of screeners to predict who is the best fit for yoga therapy. Additional research is needed to evaluate the need to include cognitive self-management training concurrent with yoga therapy.

scholarly journals Depressive symptoms and perception of quality of life in Parkinson's disease

2009 ◽  
Vol 67 (2a) ◽  
pp. 203-208 ◽  
Author(s):  
Paula Scalzo ◽  
Arthur Kummer ◽  
Francisco Cardoso ◽  
Antonio Lucio Teixeira
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Well Being ◽  
Poor Quality ◽  
Life Questionnaire ◽  
Perception Of Quality ◽  
The Relationship

BACKGROUND: Depression has been proposed as a major contributor to poor quality of life (QoL) in Parkinson's disease (PD). OBJECTIVE: To evaluate the relationship between depressive symptoms and QoL in subjects with PD. METHOD: Beck Depression Inventary (BDI) was used to evaluate depressive symptoms and Parkinson's Disease Quality of Life Questionnaire (PDQ-39) to assess the perception of the QoL. RESULTS: Thirty seven patients (19 male/ 18 female) with a typical onset PD and mean disease duration of 7.7 years were studied. Higher scores on BDI correlated with poorer perception of the QoL. This association occurred at the expense of the following PDQ39 domains: mobility, activities of daily living, social support, cognition and emotional well-being dimensions. PD severity also correlated with QoL. CONCLUSION: Our study corroborates the assumption that depressive symptoms contributed significantly to QoL in PD.

39 The Experiences of Treatment Burden Among People with Parkinson’s Disease and Their Caregivers: A Systematic Review

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i7-i11
Author(s):  
Q Y Tan ◽  
K Ibrahim ◽  
N J Cox ◽  
S E Lim ◽  
L Coutts ◽  
...  
Keyword(s):  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Care Home ◽  
Grey Literature ◽  
Well Being ◽  
Future Research ◽  
Treatment Burden ◽  
Healthcare Provision ◽  
The Impact

Abstract Introduction Treatment burden is the “workload of healthcare and its impact on patient functioning and well-being”. High treatment burden may lead to non-adherence to treatment regimens, poor health outcomes, poor quality of life and wasted healthcare resources. Treatment burden among people with Parkinson’s (PwP) and their caregivers has not been previously explored. Methods Using five electronic databases (MEDLINE, Embase, CINAHL, Scopus and PsychInfo), we conducted a systematic review of studies published since 2006 when the first National Institute for Clinical Excellence (NICE) Clinical Guideline for Parkinson’s Disease was published. This allows an understanding of the impact of current healthcare systems on treatment burden. We included qualitative and mixed-method studies with a qualitative component that reported data from PwP and/or caregivers. Quantitative studies, qualitative data from clinical trials not related to usual care and grey literature were excluded. Two reviewers independently screened articles and extracted data. Data analysis was conducted using framework analysis. Results 1757 articles were screened, and 39 included in this review. Understanding treatment burden among PwP and their caregivers was not the primary aim in any of the included studies. They described the experiences of those living at home and during hospital or care home admissions. Issues with medications (adherence to advice, effectiveness, side-effects and timing), obtaining appropriate levels of information and healthcare provision (lack of integrated care, care coordination and person-centred approach) were among factors that exacerbate treatment burden experienced by PwP and caregivers. Both reported the impact of Parkinson’s on their daily lives, physical and mental exhaustion of self-care and limitations on their role and social activities. Conclusion This review describes considerable treatment burden experienced by PwP and their caregivers and its major influences including aspects of current healthcare provision. Future research should focus on patient-centred care with service redesign to improve this treatment burden.

scholarly journals Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Manan Binth Taj Noor ◽  
Nusrat Zerin Zenia ◽  
M Shamim Kaiser ◽  
Shamim Al Mamun ◽  
Mufti Mahmud
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Neurological Disorders ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Comparative Performance

Abstract Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have opened up possibilities to unprecedentedly identify neurological disorders. However, similarities in disease phenotypes make it very difficult to detect such disorders accurately from the acquired neuroimaging data. This article critically examines and compares performances of the existing deep learning (DL)-based methods to detect neurological disorders—focusing on Alzheimer’s disease, Parkinson’s disease and schizophrenia—from MRI data acquired using different modalities including functional and structural MRI. The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders. Towards the end, a number of current research challenges are indicated and some possible future research directions are provided.

scholarly journals Impact of Depression and Anxiety on Dimensions of Health-Related Quality of Life in Subjects with Parkinson’s Disease Enrolled in an Association of Patients

2021 ◽  
Vol 11 (6) ◽  
pp. 771
Author(s):  
Fany Chuquilín-Arista ◽  
Tania Álvarez-Avellón ◽  
Manuel Menéndez-González
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Psychiatric Symptoms ◽  
Well Being ◽  
Depression And Anxiety ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Parkinson’s disease (PD) is a complex disorder characterized by a wide spectrum of symptoms. Depression and anxiety are common manifestations in PD and may be determinants of health-related quality of life (HRQoL). The objective of this study is to determine the association of depression and anxiety with the dimensions of HRQoL in subjects with PD enrolled in an association of patients. Ninety-five community-based patients with PD diagnosis at different disease stages were studied. HRQoL was assessed using the Parkinson’s Disease Questionnaire (PDQ-39); depression and anxiety were assessed using the Beck Depression Inventory (BDI-II) and the State-Trait Anxiety Inventory (STAI), respectively. Our results showed that depression and anxiety were negatively associated with HRQoL measured by PDSI. Higher motor dysfunction measured by Hoehn and Yahr (H&Y) staging was also associated with worse HRQoL. Depression was the most influential variable in the model. All PDQ-39 dimensions except social support and bodily discomfort were associated with depression. Anxiety was associated with the emotional well-being and bodily discomfort dimensions. These results suggest that physicians should pay attention to the presence of psychiatric symptoms and treat them appropriately.

scholarly journals The Contribution of Microglia to Neuroinflammation in Parkinson’s Disease

2021 ◽  
Vol 22 (9) ◽  
pp. 4676
Author(s):  
Katja Badanjak ◽  
Sonja Fixemer ◽  
Semra Smajić ◽  
Alexander Skupin ◽  
Anne Grünewald
Keyword(s):  
Oxidative Stress ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Inflammatory Cytokine ◽  
Population Ageing ◽  
Future Research ◽  
Cytokine Release ◽  
Vicious Cycle ◽  
Inflammatory Processes ◽  
Great Evidence

With the world’s population ageing, the incidence of Parkinson’s disease (PD) is on the rise. In recent years, inflammatory processes have emerged as prominent contributors to the pathology of PD. There is great evidence that microglia have a significant neuroprotective role, and that impaired and over activated microglial phenotypes are present in brains of PD patients. Thereby, PD progression is potentially driven by a vicious cycle between dying neurons and microglia through the instigation of oxidative stress, mitophagy and autophagy dysfunctions, a-synuclein accumulation, and pro-inflammatory cytokine release. Hence, investigating the involvement of microglia is of great importance for future research and treatment of PD. The purpose of this review is to highlight recent findings concerning the microglia-neuronal interplay in PD with a focus on human postmortem immunohistochemistry and single-cell studies, their relation to animal and iPSC-derived models, newly emerging technologies, and the resulting potential of new anti-inflammatory therapies for PD.

scholarly journals Ethnic Disparities in Social Capital and Health among Jewish and Arab Participants in the Israeli Mamanet Cachibol League

2021 ◽  
Vol 18 (1) ◽  
pp. 295
Author(s):  
Yuval Paldi ◽  
Daniel S. Moran ◽  
Orna Baron-Epel ◽  
Shiran Bord ◽  
Riki Tesler
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Ethnic Groups ◽  
Team Sports ◽  
Ethnic Disparities ◽  
Well Being ◽  
Future Research ◽  
Cross Sectional Survey ◽  
Reported Health ◽  
Health And Well Being

The Israeli Mamanet Cachibol League (MCL) serves as a community model that incorporates physical activity and amateur team sports among women. Team sports have been shown to bridge gaps and build positive relationships between communities. There is a paucity of data regarding the advantages of team sports to promote the health and well-being of women from different ethnic backgrounds. The purpose of this study was to examine the association of participation in MCL with social capital, health, and well-being across two ethnic groups: Jewish and Arab women. A cross-sectional survey was conducted among women aged 25–64: 102 Jewish and 96 Arab MCL participants, and 102 Jewish and 81 Arab non-MCL participants. Data regarding social capital (trust, social support and social involvement) and well-being (self-reported health and psychosomatic and depressive symptoms) were analyzed using two-way analyses of covariance and multiple regression models with sequential entry of the variables. MCL participants from both ethnic groups reported higher social capital (p < 0.001), better self-reported health (p < 0.001), and lower psychosomatic symptoms (p < 0.001) compared to non-participants. Jewish MCL participants reported lower depressive symptoms (p < 0.001) than non-participants, however no difference was found between Arab MCL participants and non-participants (p < 0.160). Amateur team sports such as MCL are related with higher levels of well-being and social capital. Future research should focus on longitudinal studies that examine the change in social capital and well-being over time.

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