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Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures

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...

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Autores principales: Sanchez-Luengos, Itsasne, Lucas-Jiménez, Olaia, Ojeda, Natalia, Peña, Javier, Gómez-Esteban, Juan Carlos, Gómez-Beldarrain, María Ángeles, Vázquez-Picón, Raquel, Foncea-Beti, Nerea, Ibarretxe-Bilbao, Naroa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546987/
https://www.ncbi.nlm.nih.gov/pubmed/35842497
http://dx.doi.org/10.1007/s11136-022-03187-y
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author Sanchez-Luengos, Itsasne
Lucas-Jiménez, Olaia
Ojeda, Natalia
Peña, Javier
Gómez-Esteban, Juan Carlos
Gómez-Beldarrain, María Ángeles
Vázquez-Picón, Raquel
Foncea-Beti, Nerea
Ibarretxe-Bilbao, Naroa
author_facet Sanchez-Luengos, Itsasne
Lucas-Jiménez, Olaia
Ojeda, Natalia
Peña, Javier
Gómez-Esteban, Juan Carlos
Gómez-Beldarrain, María Ángeles
Vázquez-Picón, Raquel
Foncea-Beti, Nerea
Ibarretxe-Bilbao, Naroa
author_sort Sanchez-Luengos, Itsasne
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03187-y.
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spelling pubmed-95469872022-10-09 Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures Sanchez-Luengos, Itsasne Lucas-Jiménez, Olaia Ojeda, Natalia Peña, Javier Gómez-Esteban, Juan Carlos Gómez-Beldarrain, María Ángeles Vázquez-Picón, Raquel Foncea-Beti, Nerea Ibarretxe-Bilbao, Naroa Qual Life Res Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03187-y. Springer International Publishing 2022-07-16 2022 /pmc/articles/PMC9546987/ /pubmed/35842497 http://dx.doi.org/10.1007/s11136-022-03187-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sanchez-Luengos, Itsasne
Lucas-Jiménez, Olaia
Ojeda, Natalia
Peña, Javier
Gómez-Esteban, Juan Carlos
Gómez-Beldarrain, María Ángeles
Vázquez-Picón, Raquel
Foncea-Beti, Nerea
Ibarretxe-Bilbao, Naroa
Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title_full Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title_fullStr Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title_full_unstemmed Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title_short Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
title_sort predictors of health-related quality of life in parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546987/
https://www.ncbi.nlm.nih.gov/pubmed/35842497
http://dx.doi.org/10.1007/s11136-022-03187-y
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