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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.

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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.
Authors: 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
Source: Quality of Life Research. Nov2022, Vol. 31 Issue 11, p3241-3252. 12p. 5 Charts.
Subjects: Quality of life, Parkinson's disease, Anxiety, Mental depression, Fatigue (Physiology)
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. [ABSTRACT FROM AUTHOR]
Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Sanchez-Luengos%2C+Itsasne%22">Sanchez-Luengos, Itsasne</searchLink><br /><searchLink fieldCode="AR" term="%22Lucas-Jiménez%2C+Olaia%22">Lucas-Jiménez, Olaia</searchLink><br /><searchLink fieldCode="AR" term="%22Ojeda%2C+Natalia%22">Ojeda, Natalia</searchLink><br /><searchLink fieldCode="AR" term="%22Peña%2C+Javier%22">Peña, Javier</searchLink><br /><searchLink fieldCode="AR" term="%22Gómez-Esteban%2C+Juan+Carlos%22">Gómez-Esteban, Juan Carlos</searchLink><br /><searchLink fieldCode="AR" term="%22Gómez-Beldarrain%2C+María+Ángeles%22">Gómez-Beldarrain, María Ángeles</searchLink><br /><searchLink fieldCode="AR" term="%22Vázquez-Picón%2C+Raquel%22">Vázquez-Picón, Raquel</searchLink><br /><searchLink fieldCode="AR" term="%22Foncea-Beti%2C+Nerea%22">Foncea-Beti, Nerea</searchLink><br /><searchLink fieldCode="AR" term="%22Ibarretxe-Bilbao%2C+Naroa%22">Ibarretxe-Bilbao, Naroa</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. Nov2022, Vol. 31 Issue 11, p3241-3252. 12p. 5 Charts.
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  Data: <bold>Purpose: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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%).<bold>Conclusion: </bold>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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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