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 m...
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| Veröffentlicht in: | Quality of life research 2022-11, Vol.31 (11), p.3241-3252 |
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| creator | 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 |
| 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. |
| doi_str_mv | 10.1007/s11136-022-03187-y |
| format | Article |
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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.</description><identifier>ISSN: 0962-9343</identifier><identifier>ISSN: 1573-2649</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-022-03187-y</identifier><identifier>PMID: 35842497</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Activities of Daily Living ; Anxiety ; Apathy ; Fatigue - psychology ; Humans ; Medicine ; Medicine & Public Health ; Parkinson Disease - psychology ; Parkinson's disease ; Public Health ; Quality of life ; Quality of Life - psychology ; Quality of Life Research ; Severity of Illness Index ; Sociology ; Surveys and Questionnaires ; Well being</subject><ispartof>Quality of life research, 2022-11, Vol.31 (11), p.3241-3252</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-3fc0cd15fe43d4225697110990eade153affba22adb1099d952dbc36d454f11c3</citedby><cites>FETCH-LOGICAL-c404t-3fc0cd15fe43d4225697110990eade153affba22adb1099d952dbc36d454f11c3</cites><orcidid>0000-0002-2434-5252 ; 0000-0002-4697-3890 ; 0000-0002-8265-845X ; 0000-0002-0952-0649 ; 0000-0002-7715-3764 ; 0000-0002-0041-7020</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11136-022-03187-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11136-022-03187-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35842497$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanchez-Luengos, Itsasne</creatorcontrib><creatorcontrib>Lucas-Jiménez, Olaia</creatorcontrib><creatorcontrib>Ojeda, Natalia</creatorcontrib><creatorcontrib>Peña, Javier</creatorcontrib><creatorcontrib>Gómez-Esteban, Juan Carlos</creatorcontrib><creatorcontrib>Gómez-Beldarrain, María Ángeles</creatorcontrib><creatorcontrib>Vázquez-Picón, Raquel</creatorcontrib><creatorcontrib>Foncea-Beti, Nerea</creatorcontrib><creatorcontrib>Ibarretxe-Bilbao, Naroa</creatorcontrib><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><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><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.</description><subject>Activities of Daily Living</subject><subject>Anxiety</subject><subject>Apathy</subject><subject>Fatigue - psychology</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Parkinson Disease - psychology</subject><subject>Parkinson's disease</subject><subject>Public Health</subject><subject>Quality of life</subject><subject>Quality of Life - psychology</subject><subject>Quality of Life Research</subject><subject>Severity of Illness Index</subject><subject>Sociology</subject><subject>Surveys and Questionnaires</subject><subject>Well being</subject><issn>0962-9343</issn><issn>1573-2649</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkbtuFDEUhi1ERJaFF6BAlmhohvg2F1MgRRE3KRIpoLY89pmsg8fe2J6g7XiNvB5Pwkw2CZcCKkv-__PZRx9Czyh5RQlpjzKllDcVYawinHZttXuAVrRuecUaIR-iFZENqyQX_BA9zvmCENJJwh6hQ153ggnZrtD1WQLrTIkp4zjgDWhfNlUCrwtYfDlp78puSbwbALuAz3T66kKO4cf364yty6AzvMZlM6fjVpuylOMVJK-3uIfyDSD8D6uDxca74Iz2eJyBU4L8BB0M2md4enuu0Zd3bz-ffKhOP73_eHJ8WhlBRKn4YIixtB5AcCsYqxvZUkqkJKAt0JrrYeg1Y9r2y62VNbO94Y0VtRgoNXyN3uy526kfwRoIJWmvtsmNOu1U1E79mQS3UefxSslaNLJrZ8DLW0CKlxPkokaXDXivA8QpK9ZISmrCZw9r9OKv6kWcUpjXU6xlrCEdlUuL7VsmxZwTDPefoUQt5tXevJrNqxvzajcPPf99jfuRO9Vzge8LeY7COaRfb_8D-xM4Zr7D</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Sanchez-Luengos, Itsasne</creator><creator>Lucas-Jiménez, Olaia</creator><creator>Ojeda, Natalia</creator><creator>Peña, Javier</creator><creator>Gómez-Esteban, Juan Carlos</creator><creator>Gómez-Beldarrain, María Ángeles</creator><creator>Vázquez-Picón, Raquel</creator><creator>Foncea-Beti, Nerea</creator><creator>Ibarretxe-Bilbao, Naroa</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2434-5252</orcidid><orcidid>https://orcid.org/0000-0002-4697-3890</orcidid><orcidid>https://orcid.org/0000-0002-8265-845X</orcidid><orcidid>https://orcid.org/0000-0002-0952-0649</orcidid><orcidid>https://orcid.org/0000-0002-7715-3764</orcidid><orcidid>https://orcid.org/0000-0002-0041-7020</orcidid></search><sort><creationdate>20221101</creationdate><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><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-3fc0cd15fe43d4225697110990eade153affba22adb1099d952dbc36d454f11c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Activities of Daily Living</topic><topic>Anxiety</topic><topic>Apathy</topic><topic>Fatigue - psychology</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Parkinson Disease - psychology</topic><topic>Parkinson's disease</topic><topic>Public Health</topic><topic>Quality of life</topic><topic>Quality of Life - psychology</topic><topic>Quality of Life Research</topic><topic>Severity of Illness Index</topic><topic>Sociology</topic><topic>Surveys and Questionnaires</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanchez-Luengos, Itsasne</creatorcontrib><creatorcontrib>Lucas-Jiménez, Olaia</creatorcontrib><creatorcontrib>Ojeda, Natalia</creatorcontrib><creatorcontrib>Peña, Javier</creatorcontrib><creatorcontrib>Gómez-Esteban, Juan Carlos</creatorcontrib><creatorcontrib>Gómez-Beldarrain, María Ángeles</creatorcontrib><creatorcontrib>Vázquez-Picón, Raquel</creatorcontrib><creatorcontrib>Foncea-Beti, Nerea</creatorcontrib><creatorcontrib>Ibarretxe-Bilbao, Naroa</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Nursing & Allied Health Premium</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanchez-Luengos, Itsasne</au><au>Lucas-Jiménez, Olaia</au><au>Ojeda, Natalia</au><au>Peña, Javier</au><au>Gómez-Esteban, Juan Carlos</au><au>Gómez-Beldarrain, María Ángeles</au><au>Vázquez-Picón, Raquel</au><au>Foncea-Beti, Nerea</au><au>Ibarretxe-Bilbao, Naroa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of health-related quality of life in Parkinson’s disease: the impact of overlap between health-related quality of life and clinical measures</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>31</volume><issue>11</issue><spage>3241</spage><epage>3252</epage><pages>3241-3252</pages><issn>0962-9343</issn><issn>1573-2649</issn><eissn>1573-2649</eissn><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><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35842497</pmid><doi>10.1007/s11136-022-03187-y</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-2434-5252</orcidid><orcidid>https://orcid.org/0000-0002-4697-3890</orcidid><orcidid>https://orcid.org/0000-0002-8265-845X</orcidid><orcidid>https://orcid.org/0000-0002-0952-0649</orcidid><orcidid>https://orcid.org/0000-0002-7715-3764</orcidid><orcidid>https://orcid.org/0000-0002-0041-7020</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Quality of life research, 2022-11, Vol.31 (11), p.3241-3252 |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Activities of Daily Living Anxiety Apathy Fatigue - psychology Humans Medicine Medicine & Public Health Parkinson Disease - psychology Parkinson's disease Public Health Quality of life Quality of Life - psychology Quality of Life Research Severity of Illness Index Sociology Surveys and Questionnaires Well being |
| 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 |
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