Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
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Published:2022-07-16
Issue:11
Volume:31
Page:3241-3252
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ISSN:0962-9343
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Container-title:Quality of Life Research
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language:en
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Short-container-title:Qual Life Res
Author:
Sanchez-Luengos ItsasneORCID, Lucas-Jiménez OlaiaORCID, Ojeda NataliaORCID, Peña JavierORCID, Gómez-Esteban Juan CarlosORCID, Gómez-Beldarrain María Ángeles, Vázquez-Picón Raquel, Foncea-Beti Nerea, Ibarretxe-Bilbao NaroaORCID
Abstract
Abstract
Purpose
This study aimed to determine predictors of health-related quality of life (HRQoL) in Parkinson's disease (PD) and to explore their predictive value before and after controlling overlapping items between HRQoL and clinical variables.
Methods
One hundred and eight PD patients underwent motor, anxiety, depression, apathy, fatigue, and neurocognition assessment. HRQoL was assessed by the Parkinson’s Disease Questionnaire-39 (PDQ-39). In order to determine predictors of HRQoL in PD, stepwise multiple regression analyses were performed in two ways: before and after removing the emotional well-being dimension from PDQ-39 to control the overlap between depression and anxiety, and HRQoL.
Results
HRQoL total index was predicted by anxiety, fatigue, motor symptoms, and depression, explaining 26.9%, 7.2%, 2.8%, and 1.9% of the variance. However, after removing overlapping items, HRQoL total index was predicted by fatigue (16.5%), anxiety (6.1%), motor symptoms (3.9%), and neurocognition (2.5%), but not depression. Regarding HRQoL dimensions, mobility and activities of daily living were predicted by fatigue (19.7% and 5%) and UPDRS-III (4% and 10.2%); emotional well-being by fatigue (7.9%); social support by anxiety (12.2%) and UPDRS-III (8.6%); communication by neurocognition (5.3%) and UPDRS-III (3.4%); cognition by anxiety (10.6%) and bodily discomfort by anxiety (23%) and fatigue (4.1%).
Conclusion
These findings showed the importance of identifying and controlling overlapping items of HRQoL and clinical measures to perform an accurate interpretation. HRQoL dimensions showed different predictors before and after controlling the overlap. Based on these results fatigue, anxiety, motor symptoms, and neurocognition, but not depression are the main predictors of HRQoL in PD patients.
Funder
BBK foundation Department of Education of the Basque Government Research Staff Training Programme Grant from the Basque Government Universidad de Deusto
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
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