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Socioeconomic and therapy factor influence on self-reported fatigue, anxiety and depression in rheumatoid arthritis
Mirjana Lapčević1, Mira Vuković2, Branislav S Gvozdenović3
1Primary Healthcare Center, Department of General Medicine, Belgrade, Serbia.
Introduction:
Fatigue, anxiety and depression are very frequent symptoms in patients with rheumatoid arthritis (RA).
Goals:
In this study we evaluated the influence of socioeconomic characteristics, therapy and comorbidities on the self-reported high fatigue, anxiety and depression in patients with RA.
Method:
Multicenter cross-sectional study was performed in 22 health institutions in Serbia during the period from April-August 2014 in population of older RA patients. Self-reported patients health status was measured by: Fatigue Assessment Scale, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Treatment modalities were defined as: (1) non-steroidal anti-inflammatory drugs (NSAIDs) and/or analgesics and/or corticosteroids; (2) synthetic disease-modifying antirheumatic drugs (DMARDs) alone or in combination with corticosteroids and/or NSAIDs and (3) any RA treatment which includes biologic DMARDs.
Results:
There were significant predictors of high depression: synthetic DMARDs therapy in combination with corticosteroids and/or NSAIDs, physiotherapist self-payment, frequent taxi use, alternative treatment and employment status. The need for another person's assistance, supplemental calcium therapy and professional qualifications were the predictors of a high fatigue, whereas the age above 65 years had the protective effect on it. Anxiety was an independent high fatigue predictor. The predictors of a high anxiety were: gastroprotection with proton-pump inhibitors and patient occupation.
Conclusion:
Socioeconomic predictors of self-reported high depression, anxiety or fatigue are different for each of the mentioned outcomes, while accompanied with the basic RA treatment they exclusively explain a high depression. The anxiety, jointed with the socioeconomic variables and supplemental therapy, is a significant fatigue predictor in RA patients.
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