Literature DB >> 30225905

Frequency of mood and anxiety fluctuations in Parkinson's disease patients with motor fluctuations: A systematic review.

Rachel M J van der Velden1, Martijn P G Broen2, Mark L Kuijf2, Albert F G Leentjens1.   

Abstract

After 5 years of treatment with levodopa, approximately 40% to 50% of patients with Parkinson's disease (PD) develop motor complications such as dyskinesias or motor fluctuations. These are often accompanied by nonmotor fluctuations, such as fluctuations in mood symptoms. The aim of this systematic review is to assess the frequency of such mood fluctuations in PD patients with motor fluctuations and to explore the association between these mood fluctuations and motor fluctuations. We performed a systematic literature search in PubMed, Medline, and the Cochrane Library. This search yielded 10 studies, of which 9 were included after quality assessment. The frequency of anxiety fluctuations in PD patients with motor fluctuations ranged from 3.1% to 67.7% with a weighted mean of 35.4%. The frequency of fluctuations in depressive symptoms ranged from 2.1% to 71.4%, with a weighted mean of 34.9%. The frequency of fluctuations in symptoms of panic ranged from 3.1% to 54.5%, with a weighted mean of 37.1%. Symptoms of anxiety and depression are mostly present in the "off" state. We conclude that mood fluctuations occur frequently in PD patients with motor fluctuations. The methodology used to assess mood fluctuation varies widely and there is a lack of a generally accepted assessment procedure for fluctuating symptoms. Research would benefit from a more uniform approach to assessment of nonmotor fluctuations.
© 2018 International Parkinson and Movement Disorder Society. © 2018 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  Parkinson's disease; anxiety; depressive symptoms; mood fluctuations; motor fluctuations

Mesh:

Substances:

Year:  2018        PMID: 30225905     DOI: 10.1002/mds.27465

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  14 in total

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4.  Usability of the Experience Sampling Method in Parkinson's Disease on a Group and Individual Level.

Authors:  Anne E P Mulders; Rachel M J van der Velden; Marjan Drukker; Martijn P G Broen; Mark L Kuijf; Albert F G Leentjens
Journal:  Mov Disord       Date:  2020-05-30       Impact factor: 10.338

5.  Psychiatric Symptoms in Patients and Caregivers with Parkinson's Disease.

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6.  Altered cerebellum functional network on newly diagnosed drug-naïve Parkinson's disease patients with anxiety.

Authors:  Yirong Wang; Shushan Zhang; Haodi Yang; Xin Zhang; Shijia He; Jian Wang; Jian Li
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7.  Prevalence and Clinical Correlates of Comorbid Anxiety and Panic Disorders in Patients with Parkinson's Disease.

Authors:  Camilla Elefante; Giulio Emilio Brancati; Silvia Bacciardi; Sonia Mazzucchi; Eleonora Del Prete; Giovanni Palermo; Daniela Frosini; Ubaldo Bonuccelli; Roberto Ceravolo; Lorenzo Lattanzi; Icro Maremmani; Giulio Perugi
Journal:  J Clin Med       Date:  2021-05-25       Impact factor: 4.241

8.  Mobile Health Daily Life Monitoring for Parkinson Disease: Development and Validation of Ecological Momentary Assessments.

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Journal:  JMIR Mhealth Uhealth       Date:  2020-05-11       Impact factor: 4.773

9.  Non-dopaminergic Alterations in Depression-Like FSL Rats in Experimental Parkinsonism and L-DOPA Responses.

Authors:  Nicoletta Schintu; Xiaoqun Zhang; Nikolas Stroth; Aleksander A Mathé; Per E Andrén; Per Svenningsson
Journal:  Front Pharmacol       Date:  2020-03-20       Impact factor: 5.810

Review 10.  Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations.

Authors:  Bairong Shen; Yuxin Lin; Cheng Bi; Shengrong Zhou; Zhongchen Bai; Guangmin Zheng; Jing Zhou
Journal:  Genomics Proteomics Bioinformatics       Date:  2019-11-28       Impact factor: 7.691

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