Objective: To identify correlates of quality of life (QoL) measured with the Quality of Life Scale (QOLS) in participants of a multidisciplinary day hospital treatment program for fibromyalgia (FM). Methods: In this cross-sectional, observational study, “real world” data from 480 FM patients including socio-demographics, pain variables and questionnaires such as the SF-36, Beck Depression Inventory (BDI), Multiphasic Pain Inventory (MPI), SCL-90-R and others were categorized according to the components (body structure and function, activities and participation, personal factors, environmental factors) of the International Classification of Functioning (ICF). For every ICF component, a linear regression analysis with QOLS as the dependent variable was computed. A final comprehensive model was calculated on the basis of the results of the five independent analyses. Results: The following variables could be identified as main correlates for QoL in FM, explaining 56% of the variance of the QOLS (subscale/questionnaire and standardized beta in parenthesis): depression (− 0.22), pain-related interference with everyday life (− 0.19), general activity (0.13), general health perception (0.11), punishing response from others (− 0.11), work status (− 0.10), vitality (− 0.11) and cognitive difficulties (− 0.12). Pain intensity or frequency was not an independent correlate. Conclusions: More than 50% of QoL variance could be explained by distinct self-reported variables with neither pain intensity nor pain frequency playing a major role. Therefore, FM treatment should not primarily concentrate on pain but should address multiple factors within multidisciplinary therapy.
Identifer | oai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etsu-works-10761 |
Date | 01 November 2021 |
Creators | Offenbaecher, Martin, Kohls, Niko, Ewert, Thomas, Sigl, Claudia, Hieblinger, Robin, Toussaint, Loren L., Sirois, Fuschia, Hirsch, Jameson K., Vallejo, Miguel A., Kramer, Sybille, Rivera, Javier, Stucki, Gerold, Schelling, Jörg, Winkelmann, Andreas |
Publisher | Digital Commons @ East Tennessee State University |
Source Sets | East Tennessee State University |
Detected Language | English |
Type | text |
Source | ETSU Faculty Works |
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