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      The prevalence of severe fatigue in rheumatic diseases: an international study

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          Abstract

          Fatigue is a common, disabling, and difficult-to-manage problem in rheumatic diseases. Prevalence estimates of fatigue within rheumatic diseases vary considerably. Data on the prevalence of severe fatigue across multiple rheumatic diseases using a similar instrument is missing. Our aim was to provide an overview of the prevalence of severe fatigue across a broad range of rheumatic diseases and to examine its association with clinical and demographic variables. Online questionnaires were filled out by an international sample of 6120 patients (88 % female, mean age 47) encompassing 30 different rheumatic diseases. Fatigue was measured with the RAND(SF)-36 Vitality scale. A score of ≤35 was taken as representing severe fatigue (90 % sensitivity and 81 % specificity for chronic fatigue syndrome). Severe fatigue was present in 41 to 57 % of patients with a single inflammatory rheumatic disease such as rheumatoid arthritis, systemic lupus erythematosus, ankylosing spondylitis, Sjögren’s syndrome, psoriatic arthritis, and scleroderma. Severe fatigue was least prevalent in patients with osteoarthritis (35 %) and most prevalent in patients with fibromyalgia (82 %). In logistic regression analysis, severe fatigue was associated with having fibromyalgia, having multiple rheumatic diseases without fibromyalgia, younger age, lower education, and language (French: highest prevalence; Dutch: lowest prevalence). In conclusion, one out of every two patients with a rheumatic disease is severely fatigued. As severe fatigue is detrimental to the patient, the near environment, and society at large, unraveling the underlying mechanisms of fatigue and developing optimal treatment should be top priorities in rheumatologic research and practice.

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          Most cited references35

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          Psychometric qualities of the RAND 36-Item Health Survey 1.0: a multidimensional measure of general health status.

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            The contribution of primary care systems to health outcomes within Organization for Economic Cooperation and Development (OECD) countries, 1970-1998.

            To assess the contribution of primary care systems to a variety of health outcomes in 18 wealthy Organization for Economic Cooperation and Development (OECD) countries over three decades. Data were primarily derived from OECD Health Data 2001 and from published literature. The unit of analysis is each of 18 wealthy OECD countries from 1970 to 1998 (total n = 504). Pooled, cross-sectional, time-series analysis of secondary data using fixed effects regression. Secondary analysis of public-use datasets. Primary care system characteristics were assessed using a common set of indicators derived from secondary datasets, published literature, technical documents, and consultation with in-country experts. The strength of a country's primary care system was negatively associated with (a) all-cause mortality, (b) all-cause premature mortality, and (c) cause-specific premature mortality from asthma and bronchitis, emphysema and pneumonia, cardiovascular disease, and heart disease (p<0.05 in fixed effects, multivariate regression analyses). This relationship was significant, albeit reduced in magnitude, even while controlling for macro-level (GDP per capita, total physicians per one thousand population, percent of elderly) and micro-level (average number of ambulatory care visits, per capita income, alcohol and tobacco consumption) determinants of population health. (1) Strong primary care system and practice characteristics such as geographic regulation, longitudinality, coordination, and community orientation were associated with improved population health. (2) Despite health reform efforts, few OECD countries have improved essential features of their primary care systems as assessed by the scale used here. (3) The proposed scale can also be used to monitor health reform efforts intended to improve primary care.
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              Health related quality of life in multiple musculoskeletal diseases: SF-36 and EQ-5D in the DMC3 study.

              To examine the health related quality of life of persons with one or more self reported musculoskeletal diseases, as measured by the short form 36 item health status survey (SF-36) and the Euroqol questionnaire (EQ-5D). A sample of Dutch inhabitants aged 25 years or more (n = 3664) participated in a questionnaire survey. Twelve lay descriptions of common musculoskeletal diseases were presented and the subjects were asked whether they had ever been told by a physician that they had any of these. Their responses were used to assess the prevalence of these conditions. Commonly used scores of SF-36 and descriptive scores from EQ-5D are presented, along with standardised differences between disease groups and the general population. with musculoskeletal diseases had significantly lower scores on all SF-36 dimensions than those without musculoskeletal disease, especially for physical functioning (SF-36 score (SE), 75.2 (0.5) v 87.8 (0.5)); role limitations caused by physical problems (67.1 (0.9) v 85.8 (0.8)); and bodily pain (68.5 (0.5) v 84.1 (0.5)). The worst health related quality of life patterns were found for osteoarthritis of the hip, osteoporosis, rheumatoid arthritis, and fibromyalgia. Those with multiple musculoskeletal diseases had the poorest health related quality of life. Similar results were found for EQ-5D. All musculoskeletal diseases involve pain and reduced physical function. The coexistence of musculoskeletal diseases should be taken into account in research and clinical practice because of its high prevalence and its substantial impact on health related quality of life.
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                Author and article information

                Contributors
                +31 30 253 9184 , C.L.Overman@uu.nl
                Journal
                Clin Rheumatol
                Clin. Rheumatol
                Clinical Rheumatology
                Springer London (London )
                0770-3198
                1434-9949
                15 August 2015
                15 August 2015
                2016
                : 35
                : 409-415
                Affiliations
                [ ]Department of Clinical and Health Psychology, Utrecht University, PO Box 80.140, 3508 TC Utrecht, The Netherlands
                [ ]Department of Rheumatology, Hospitais da Universidade de Coimbra, 3000-075 Coimbra, Portugal
                [ ]Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, PO Box 85.500, 3508 GA Utrecht, The Netherlands
                Article
                3035
                10.1007/s10067-015-3035-6
                4752960
                26272057
                fb7189cb-f8ec-4f22-93df-7902b98ab983
                © The Author(s) 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 20 January 2015
                : 14 July 2015
                : 22 July 2015
                Categories
                Original Article
                Custom metadata
                © International League of Associations for Rheumatology (ILAR) 2016

                Rheumatology
                fatigue,fibromyalgia,osteoarthritis,rheumatic diseases,rheumatoid arthritis,vitality
                Rheumatology
                fatigue, fibromyalgia, osteoarthritis, rheumatic diseases, rheumatoid arthritis, vitality

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