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Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach
The clinical presentation of Parkinson’s disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients’ quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. I...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380984/ https://www.ncbi.nlm.nih.gov/pubmed/37510732 http://dx.doi.org/10.3390/jcm12144616 |
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author | Heimrich, Konstantin G. Mendorf, Sarah Schönenberg, Aline Santos-García, Diego Mir, Pablo COPPADIS Study Group Prell, Tino |
author_facet | Heimrich, Konstantin G. Mendorf, Sarah Schönenberg, Aline Santos-García, Diego Mir, Pablo COPPADIS Study Group Prell, Tino |
author_sort | Heimrich, Konstantin G. |
collection | PubMed |
description | The clinical presentation of Parkinson’s disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients’ quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. In the Cohort of Patients with Parkinson’s Disease in Spain (COPPADIS) study, 686 patients with PD were analyzed using network analyses. The patients completed the Beck Depression Inventory II (BDI-II) and provided their overall QoL (EUROHIS-QOL) at the beginning of the study. The study used centrality measures such as Expected Influence and Bridge Expected Influence to identify depressive symptoms that had the greatest impact on overall QoL. The results of exploratory network analyses indicate that the BDI-II items related to loss of energy, past failure, and tiredness or fatigue have the greatest impact on overall QoL as measured by the EUROHIS-QOL 8-item index. The loss of energy and tiredness or fatigue BDI-II items are also strongly associated with a number of different EUROHIS-QOL items, according to Bridge Expected Influences. For individuals suffering from PD, network analysis can aid in identifying significant non-motor symptoms that impact their QoL, thus paving the way for potential improvements. |
format | Online Article Text |
id | pubmed-10380984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103809842023-07-29 Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach Heimrich, Konstantin G. Mendorf, Sarah Schönenberg, Aline Santos-García, Diego Mir, Pablo COPPADIS Study Group Prell, Tino J Clin Med Article The clinical presentation of Parkinson’s disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients’ quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. In the Cohort of Patients with Parkinson’s Disease in Spain (COPPADIS) study, 686 patients with PD were analyzed using network analyses. The patients completed the Beck Depression Inventory II (BDI-II) and provided their overall QoL (EUROHIS-QOL) at the beginning of the study. The study used centrality measures such as Expected Influence and Bridge Expected Influence to identify depressive symptoms that had the greatest impact on overall QoL. The results of exploratory network analyses indicate that the BDI-II items related to loss of energy, past failure, and tiredness or fatigue have the greatest impact on overall QoL as measured by the EUROHIS-QOL 8-item index. The loss of energy and tiredness or fatigue BDI-II items are also strongly associated with a number of different EUROHIS-QOL items, according to Bridge Expected Influences. For individuals suffering from PD, network analysis can aid in identifying significant non-motor symptoms that impact their QoL, thus paving the way for potential improvements. MDPI 2023-07-11 /pmc/articles/PMC10380984/ /pubmed/37510732 http://dx.doi.org/10.3390/jcm12144616 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Heimrich, Konstantin G. Mendorf, Sarah Schönenberg, Aline Santos-García, Diego Mir, Pablo COPPADIS Study Group Prell, Tino Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title | Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title_full | Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title_fullStr | Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title_full_unstemmed | Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title_short | Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach |
title_sort | depressive symptoms and their impact on quality of life in parkinson’s disease: an exploratory network analysis approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380984/ https://www.ncbi.nlm.nih.gov/pubmed/37510732 http://dx.doi.org/10.3390/jcm12144616 |
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