Depressive Symptoms and Their Impact on Quality of Life in Parkinson’s Disease: An Exploratory Network Analysis Approach

GND
1053640951
ORCID
0000-0001-9997-2202
Affiliation
Department of Neurology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
Heimrich, Konstantin G.;
GND
1216519501
ORCID
0000-0002-1297-6014
Affiliation
Department of Neurology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
Mendorf, Sarah;
ORCID
0000-0003-2913-9535
Affiliation
Department of Geriatrics, Halle University Hospital, Ernst-Grube-Straße 40, 06120 Halle, Germany
Schönenberg, Aline;
ORCID
0000-0002-3126-5111
Affiliation
Department of Neurology, CHUAC (Complejo Hospitalario Universitario de A Coruña), c/As Xubias 84, 15006 A Coruña, Spain
Santos-García, Diego;
Affiliation
Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013 Seville, Spain
Mir, Pablo;
Affiliation
Fundación Española de Ayuda a la Investigación en Enfermedades Neurodegenerativas y/o de Origen Genético, Calle Antonio J de Sucre 1A, 15179 Oleiros, Spain
COPPADIS Study Group,;
ORCID
0000-0002-6423-3108
Affiliation
Department of Geriatrics, Halle University Hospital, Ernst-Grube-Straße 40, 06120 Halle, Germany
Prell, Tino

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.

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