Predictors of quality of life among multiple sclerosis patients: a comprehensive analysis.
Saved in:
| Title: | Predictors of quality of life among multiple sclerosis patients: a comprehensive analysis. |
|---|---|
| Authors: | Yamout, B., Issa, Z., Herlopian, A., El Bejjani, M., Khalifa, A., Ghadieh, A. S., Habib, R. H. |
| Source: | European Journal of Neurology. May2013, Vol. 20 Issue 5, p756-764. 9p. 3 Charts, 3 Graphs. |
| Subjects: | Multiple sclerosis, Quality of life, Drug side effects, Fatigue risk factors, Hamilton Depression Inventory, Multivariate analysis, Patients |
| Abstract: | Background and purpose Multiple sclerosis ( MS) is a debilitating neurological disease of young people with substantial consequences on patients' quality of life ( QOL). A variety of QOL instruments have been used to evaluate the efficacy of treatments. However, no study assessed the role of the different demographic, clinical, physical, social, economic and psychological parameters in the perception of patients with MS of their QOL. Methods Two-hundred and one consecutive patients attending outpatient clinics were prospectively studied and objectively assessed using Expanded Disability Status Scale ( EDSS), 8-m walk test, and Symbol Digit Modality Test. Patients completed the following questionnaires: MS QOL-54, Hamilton Depression Rating Scale, Fatigue Severity Scale, Brief Pain Inventory Average Pain Score, Drug Side-Effects Severity Scale, Social Support, Religiosity, Physiotherapy and Exercise, and Socioeconomic Profile. Overall, QOL, physical ( PHCS) and mental ( MHCS) health composite scores were computed as outcome measures from MSQOL-54. Results Depression, social support, religiosity, education years and living area predicted overall QOL by linear regression ( R2 = 0.43). Unemployment and absence of fatigue correlated with poor and good QOL, respectively. Fatigue, pain, depression, EDSS, social support, MS type and anti-cholinergic treatment predicted PHCS ( R2 = 0.81). Fatigue, pain, depression, education years and social support predicted MHCS ( R2 = 0.70). Conclusion The QOL in patients with MS is not solely determined by physical disability, but rather by the level of social support, living area, depression, level of education, employment, fatigue and religiosity. Accordingly, we suggest that these should be evaluated in every patient with MS as they may be modified by targeted interventions. [ABSTRACT FROM AUTHOR] |
| Copyright of European Journal of Neurology is the property of Wiley-Blackwell 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 86927067 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Predictors of quality of life among multiple sclerosis patients: a comprehensive analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yamout%2C+B%2E%22">Yamout, B.</searchLink><br /><searchLink fieldCode="AR" term="%22Issa%2C+Z%2E%22">Issa, Z.</searchLink><br /><searchLink fieldCode="AR" term="%22Herlopian%2C+A%2E%22">Herlopian, A.</searchLink><br /><searchLink fieldCode="AR" term="%22El+Bejjani%2C+M%2E%22">El Bejjani, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Khalifa%2C+A%2E%22">Khalifa, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Ghadieh%2C+A%2E+S%2E%22">Ghadieh, A. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Habib%2C+R%2E+H%2E%22">Habib, R. H.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. May2013, Vol. 20 Issue 5, p756-764. 9p. 3 Charts, 3 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+side+effects%22">Drug side effects</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+risk+factors%22">Fatigue risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Hamilton+Depression+Inventory%22">Hamilton Depression Inventory</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Patients%22">Patients</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background and purpose Multiple sclerosis ( MS) is a debilitating neurological disease of young people with substantial consequences on patients' quality of life ( QOL). A variety of QOL instruments have been used to evaluate the efficacy of treatments. However, no study assessed the role of the different demographic, clinical, physical, social, economic and psychological parameters in the perception of patients with MS of their QOL. Methods Two-hundred and one consecutive patients attending outpatient clinics were prospectively studied and objectively assessed using Expanded Disability Status Scale ( EDSS), 8-m walk test, and Symbol Digit Modality Test. Patients completed the following questionnaires: MS QOL-54, Hamilton Depression Rating Scale, Fatigue Severity Scale, Brief Pain Inventory Average Pain Score, Drug Side-Effects Severity Scale, Social Support, Religiosity, Physiotherapy and Exercise, and Socioeconomic Profile. Overall, QOL, physical ( PHCS) and mental ( MHCS) health composite scores were computed as outcome measures from MSQOL-54. Results Depression, social support, religiosity, education years and living area predicted overall QOL by linear regression ( R2 = 0.43). Unemployment and absence of fatigue correlated with poor and good QOL, respectively. Fatigue, pain, depression, EDSS, social support, MS type and anti-cholinergic treatment predicted PHCS ( R2 = 0.81). Fatigue, pain, depression, education years and social support predicted MHCS ( R2 = 0.70). Conclusion The QOL in patients with MS is not solely determined by physical disability, but rather by the level of social support, living area, depression, level of education, employment, fatigue and religiosity. Accordingly, we suggest that these should be evaluated in every patient with MS as they may be modified by targeted interventions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=86927067 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ene.12046 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 756 Subjects: – SubjectFull: Multiple sclerosis Type: general – SubjectFull: Quality of life Type: general – SubjectFull: Drug side effects Type: general – SubjectFull: Fatigue risk factors Type: general – SubjectFull: Hamilton Depression Inventory Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Patients Type: general Titles: – TitleFull: Predictors of quality of life among multiple sclerosis patients: a comprehensive analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yamout, B. – PersonEntity: Name: NameFull: Issa, Z. – PersonEntity: Name: NameFull: Herlopian, A. – PersonEntity: Name: NameFull: El Bejjani, M. – PersonEntity: Name: NameFull: Khalifa, A. – PersonEntity: Name: NameFull: Ghadieh, A. S. – PersonEntity: Name: NameFull: Habib, R. H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 13515101 Numbering: – Type: volume Value: 20 – Type: issue Value: 5 Titles: – TitleFull: European Journal of Neurology Type: main |
| ResultId | 1 |