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Using network analysis to explore the validity and influential items of the Parkinson’s Disease Questionnaire-39
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Using network analysis to explore the validity and influential items of the Parkinson’s Disease Questionnaire-39
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Journal Article
Using network analysis to explore the validity and influential items of the Parkinson’s Disease Questionnaire-39
2023
Overview
Quality of life (QoL) in people with Parkinson´s disease (PD) is commonly measured with the PD questionnaire-39 (PDQ-39), but its factor structure and construct validity have been questioned. To develop effective interventions to improve QoL, it is crucial to understand the connection between different PDQ-39 items and to assess the validity of PDQ-39 subscales. With a new approach based on network analysis using the extended Bayesian Information Criterion Graphical Least Absolute Shrinkage and Selection Operator (EBICglasso) followed by factor analysis, we mostly replicated the original PDQ-39 subscales in two samples of PD patients (total N = 977). However, model fit was better when the “ignored” item was categorized into the
social support
instead of the
communication
subscale. In both study cohorts, “depressive mood”, “feeling isolated”, “feeling embarrassed”, and “having trouble getting around in public/needing company when going out” were identified as highly connected variables. This network approach can help to illustrate the relationship between different symptoms and direct interventional approaches in a more effective manner.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
