Association of pain and fatigue with health related quality of life in people with osteoarthritis.
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| Title: | Association of pain and fatigue with health related quality of life in people with osteoarthritis. |
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| Authors: | Evelley, Julius, Mikula, Pavol, Timkova, Vladimira, Vicen, Martin, Kundratova, Laura, Polan, Peter, Sanderman, Robbert, Nagyova, Iveta |
| Source: | Psychology, Health & Medicine. Oct2025, Vol. 30 Issue 9, p1886-1903. 18p. |
| Subjects: | Statistical correlation, Cross-sectional method, Research funding, Cronbach's alpha, T-test (Statistics), Health status indicators, Fatigue (Physiology), Multiple regression analysis, Interviewing, Functional status, Descriptive statistics, Chi-squared test, Health surveys, Osteoarthritis, Quality of life, Pain, Research, Pain management, Research methodology, Sociodemographic factors, Factor analysis, Data analysis software, Disease complications |
| Abstract: | Osteoarthritis (OA) is a major contributor to years lived with disability among musculoskeletal conditions, with its prevalence rising due to aging populations and increasing obesity rates. Total knee (TKA) and hip (THA) arthroplasty are common surgical interventions aimed at restoring function and improving quality of life (QoL). However, the relative contributions of sociodemographic and clinical factors to overall OoL remain insufficiently understood. This study examined the associations between pain and fatigue with the physical component summary (PCS) and mental component summary (MCS) of QoL, while controlling for functional status and sociodemographic variables. The sample consisted of 423 patients with knee OA (n = 241, mean age 65.1 ± 8 years, 40.2% male) and hip OA (n = 182, mean age 63.5 ± 10 years, 60.9% male). Correlations, multiple linear regressions, and mediation analyses were used to analyse the data. For PCS, total explained variance was 44% in TKA and 40% in THA. FS was significantly associated with PCS in both groups, with a stronger association in TKA (β = –.60, p <.001). Pain was the most significant contributor to PCS in THA patients (β = –.42, p <.001) but was not significantly related to PCS in TKA (β = –.03). For MCS, total explained variances were lower (18% in TKA and 22% in THA), with fatigue emerging as the strongest contributor in both groups (β = −.42 knee OA; β = −.48, hip OA, p <.001). Fatigue fully mediated the relationship between pain and MCS, accounting for nearly 80% of the effect. No mediation effect was observed for PCS in THA, and only partial mediation (8.4%) was found in TKA. These findings underscore the need for tailored interventions to enhance post-arthroplasty recovery and QoL improvement. Pain management should be prioritized for hip OA to improve physical well-being, whereas comprehensive, long-term strategies targeting fatigue may be may be essential for mitigating mental health burdens in both OA groups. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychology, Health & Medicine 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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188100005 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Association of pain and fatigue with health related quality of life in people with osteoarthritis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Evelley%2C+Julius%22">Evelley, Julius</searchLink><br /><searchLink fieldCode="AR" term="%22Mikula%2C+Pavol%22">Mikula, Pavol</searchLink><br /><searchLink fieldCode="AR" term="%22Timkova%2C+Vladimira%22">Timkova, Vladimira</searchLink><br /><searchLink fieldCode="AR" term="%22Vicen%2C+Martin%22">Vicen, Martin</searchLink><br /><searchLink fieldCode="AR" term="%22Kundratova%2C+Laura%22">Kundratova, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Polan%2C+Peter%22">Polan, Peter</searchLink><br /><searchLink fieldCode="AR" term="%22Sanderman%2C+Robbert%22">Sanderman, Robbert</searchLink><br /><searchLink fieldCode="AR" term="%22Nagyova%2C+Iveta%22">Nagyova, Iveta</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychology%2C+Health+%26+Medicine%22">Psychology, Health & Medicine</searchLink>. Oct2025, Vol. 30 Issue 9, p1886-1903. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</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="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+status%22">Functional status</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Health+surveys%22">Health surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Osteoarthritis%22">Osteoarthritis</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink><br /><searchLink fieldCode="DE" term="%22Pain%22">Pain</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Pain+management%22">Pain management</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Osteoarthritis (OA) is a major contributor to years lived with disability among musculoskeletal conditions, with its prevalence rising due to aging populations and increasing obesity rates. Total knee (TKA) and hip (THA) arthroplasty are common surgical interventions aimed at restoring function and improving quality of life (QoL). However, the relative contributions of sociodemographic and clinical factors to overall OoL remain insufficiently understood. This study examined the associations between pain and fatigue with the physical component summary (PCS) and mental component summary (MCS) of QoL, while controlling for functional status and sociodemographic variables. The sample consisted of 423 patients with knee OA (n = 241, mean age 65.1 ± 8 years, 40.2% male) and hip OA (n = 182, mean age 63.5 ± 10 years, 60.9% male). Correlations, multiple linear regressions, and mediation analyses were used to analyse the data. For PCS, total explained variance was 44% in TKA and 40% in THA. FS was significantly associated with PCS in both groups, with a stronger association in TKA (β = –.60, p <.001). Pain was the most significant contributor to PCS in THA patients (β = –.42, p <.001) but was not significantly related to PCS in TKA (β = –.03). For MCS, total explained variances were lower (18% in TKA and 22% in THA), with fatigue emerging as the strongest contributor in both groups (β = −.42 knee OA; β = −.48, hip OA, p <.001). Fatigue fully mediated the relationship between pain and MCS, accounting for nearly 80% of the effect. No mediation effect was observed for PCS in THA, and only partial mediation (8.4%) was found in TKA. These findings underscore the need for tailored interventions to enhance post-arthroplasty recovery and QoL improvement. Pain management should be prioritized for hip OA to improve physical well-being, whereas comprehensive, long-term strategies targeting fatigue may be may be essential for mitigating mental health burdens in both OA groups. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychology, Health & Medicine 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: 10.1080/13548506.2025.2511183 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1886 Subjects: – SubjectFull: Statistical correlation Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Research funding Type: general – SubjectFull: Cronbach's alpha Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Health status indicators Type: general – SubjectFull: Fatigue (Physiology) Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Interviewing Type: general – SubjectFull: Functional status Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Health surveys Type: general – SubjectFull: Osteoarthritis Type: general – SubjectFull: Quality of life Type: general – SubjectFull: Pain Type: general – SubjectFull: Research Type: general – SubjectFull: Pain management Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Disease complications Type: general Titles: – TitleFull: Association of pain and fatigue with health related quality of life in people with osteoarthritis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Evelley, Julius – PersonEntity: Name: NameFull: Mikula, Pavol – PersonEntity: Name: NameFull: Timkova, Vladimira – PersonEntity: Name: NameFull: Vicen, Martin – PersonEntity: Name: NameFull: Kundratova, Laura – PersonEntity: Name: NameFull: Polan, Peter – PersonEntity: Name: NameFull: Sanderman, Robbert – PersonEntity: Name: NameFull: Nagyova, Iveta IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13548506 Numbering: – Type: volume Value: 30 – Type: issue Value: 9 Titles: – TitleFull: Psychology, Health & Medicine Type: main |
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