A cross-sectional study of multidimensional fatigue in biologic-treated rheumatoid arthritis: which variables play a role?
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| Title: | A cross-sectional study of multidimensional fatigue in biologic-treated rheumatoid arthritis: which variables play a role? |
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| Authors: | Husivargova, Alexandra, Timkova, Vladimira, Macejova, Zelmira, Kotradyova, Zuzana, Sanderman, Robbert, Fleer, Joke, Nagyova, Iveta |
| Source: | Disability & Rehabilitation. Aug2024, Vol. 46 Issue 17, p3878-3886. 9p. |
| Subjects: | Cross-sectional method, Statistical correlation, Research funding, Rheumatoid arthritis, Fatigue (Physiology), Multiple regression analysis, Antirheumatic agents, Biological products, Severity of illness index, Descriptive statistics, Anxiety, Mental fatigue, Pain, Research, Sleep quality, Sociodemographic factors, Data analysis software, Well-being, Mental depression |
| Abstract: | Purpose: Despite efficient biological disease-modifying antirheumatic drugs (bDMARDs) Rheumatoid Arthritis (RA) patients still suffer from high fatigue. This study aims to further our knowledge by assessing severity levels of the various fatigue dimensions and their associations with pain, sleep quality, and psychological well-being in bDMARDs treated RA patients. Material and Methods: The sample consisted of 146 RA patients (84.9% females; mean age 56.6 ± 13.6 years), who completed the MFI-20, SF-36, PSQI, GAD-7 and PHQ-9. Correlation analyses and multiple linear regressions were used to analyse the data. Results: General fatigue was the highest reported type of fatigue, followed by physical fatigue dimensions. In the final regression model, pain and disability were significantly associated with physical fatigue (p ≤ 0.001, p ≤ 0.05, respectively) and reduced activity (p ≤ 0.01, p ≤ 0.05, respectively). Anxiety was significantly associated with mental fatigue (p ≤ 0.05) and reduced motivation (p ≤ 0.01). Regression analyses showed no significant associations between depression, sleep quality, and fatigue in any of the final models. Conclusions: Our findings indicate that effectively addressing fatigue in RA patients requires an individualized approach. This approach should acknowledge the varying degrees of fatigue across different fatigue dimensions (physical or mental), while also taking into account the patient's mental health problems, pain levels, and disability levels. IMPLICATIONS FOR REHABILITATION: despite the high prevalence of fatigue in rheumatoid arthritis (RA), the patients reported that 79% of healthcare professionals do not assess fatigue during visits; therefore, a measure of fatigue should be a part of routine medical examinations rehabilitation professionals should evaluate multidimensional fatigue, which seems to be more informative than a single measure of severity development and use of an effective individual non-pharmacological management program, based on an understanding of the variables associated with multidimensional fatigue may help in improving the quality of life of patients with RA [ABSTRACT FROM AUTHOR] |
| Copyright of Disability & Rehabilitation is the property of Taylor & Francis Ltd 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 179022981 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A cross-sectional study of multidimensional fatigue in biologic-treated rheumatoid arthritis: which variables play a role? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Husivargova%2C+Alexandra%22">Husivargova, Alexandra</searchLink><br /><searchLink fieldCode="AR" term="%22Timkova%2C+Vladimira%22">Timkova, Vladimira</searchLink><br /><searchLink fieldCode="AR" term="%22Macejova%2C+Zelmira%22">Macejova, Zelmira</searchLink><br /><searchLink fieldCode="AR" term="%22Kotradyova%2C+Zuzana%22">Kotradyova, Zuzana</searchLink><br /><searchLink fieldCode="AR" term="%22Sanderman%2C+Robbert%22">Sanderman, Robbert</searchLink><br /><searchLink fieldCode="AR" term="%22Fleer%2C+Joke%22">Fleer, Joke</searchLink><br /><searchLink fieldCode="AR" term="%22Nagyova%2C+Iveta%22">Nagyova, Iveta</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Disability+%26+Rehabilitation%22">Disability & Rehabilitation</searchLink>. Aug2024, Vol. 46 Issue 17, p3878-3886. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Rheumatoid+arthritis%22">Rheumatoid arthritis</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+%28Physiology%29%22">Fatigue (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Antirheumatic+agents%22">Antirheumatic agents</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+products%22">Biological products</searchLink><br /><searchLink fieldCode="DE" term="%22Severity+of+illness+index%22">Severity of illness index</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+fatigue%22">Mental fatigue</searchLink><br /><searchLink fieldCode="DE" term="%22Pain%22">Pain</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+quality%22">Sleep quality</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Well-being%22">Well-being</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Despite efficient biological disease-modifying antirheumatic drugs (bDMARDs) Rheumatoid Arthritis (RA) patients still suffer from high fatigue. This study aims to further our knowledge by assessing severity levels of the various fatigue dimensions and their associations with pain, sleep quality, and psychological well-being in bDMARDs treated RA patients. Material and Methods: The sample consisted of 146 RA patients (84.9% females; mean age 56.6 ± 13.6 years), who completed the MFI-20, SF-36, PSQI, GAD-7 and PHQ-9. Correlation analyses and multiple linear regressions were used to analyse the data. Results: General fatigue was the highest reported type of fatigue, followed by physical fatigue dimensions. In the final regression model, pain and disability were significantly associated with physical fatigue (p ≤ 0.001, p ≤ 0.05, respectively) and reduced activity (p ≤ 0.01, p ≤ 0.05, respectively). Anxiety was significantly associated with mental fatigue (p ≤ 0.05) and reduced motivation (p ≤ 0.01). Regression analyses showed no significant associations between depression, sleep quality, and fatigue in any of the final models. Conclusions: Our findings indicate that effectively addressing fatigue in RA patients requires an individualized approach. This approach should acknowledge the varying degrees of fatigue across different fatigue dimensions (physical or mental), while also taking into account the patient's mental health problems, pain levels, and disability levels. IMPLICATIONS FOR REHABILITATION: despite the high prevalence of fatigue in rheumatoid arthritis (RA), the patients reported that 79% of healthcare professionals do not assess fatigue during visits; therefore, a measure of fatigue should be a part of routine medical examinations rehabilitation professionals should evaluate multidimensional fatigue, which seems to be more informative than a single measure of severity development and use of an effective individual non-pharmacological management program, based on an understanding of the variables associated with multidimensional fatigue may help in improving the quality of life of patients with RA [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Disability & Rehabilitation is the property of Taylor & Francis Ltd 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09638288.2023.2258333 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 3878 Subjects: – SubjectFull: Cross-sectional method Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Research funding Type: general – SubjectFull: Rheumatoid arthritis Type: general – SubjectFull: Fatigue (Physiology) Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Antirheumatic agents Type: general – SubjectFull: Biological products Type: general – SubjectFull: Severity of illness index Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Mental fatigue Type: general – SubjectFull: Pain Type: general – SubjectFull: Research Type: general – SubjectFull: Sleep quality Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Well-being Type: general – SubjectFull: Mental depression Type: general Titles: – TitleFull: A cross-sectional study of multidimensional fatigue in biologic-treated rheumatoid arthritis: which variables play a role? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Husivargova, Alexandra – PersonEntity: Name: NameFull: Timkova, Vladimira – PersonEntity: Name: NameFull: Macejova, Zelmira – PersonEntity: Name: NameFull: Kotradyova, Zuzana – PersonEntity: Name: NameFull: Sanderman, Robbert – PersonEntity: Name: NameFull: Fleer, Joke – PersonEntity: Name: NameFull: Nagyova, Iveta IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09638288 Numbering: – Type: volume Value: 46 – Type: issue Value: 17 Titles: – TitleFull: Disability & Rehabilitation Type: main |
| ResultId | 1 |