Pain medicine : the official journal of the American Academy of Pain Medicine
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Consumption of psychoactive substances-alcohol, nicotine, caffeine, opioids, and cannabis-is common among people with fibromyalgia. Associations between the use of substances and somatic symptoms could reflect efforts to cope with symptoms, aggravation or alleviation of symptoms after the use of substances, or a combination of these. To date, no study has provided insight into temporal associations between the consumption of psychoactive substances and fluctuations in somatic symptoms. We explored whether changes in ratings of pain and fatigue (mental and physical) predicted the later use of psychoactive substances or vice versa (substance use predicting later change in symptoms). ⋯ Findings highlight the importance of individualized interventions for symptom management or problems related to the use of psychoactive substances. We observed that although somatic symptoms predicted later use of substances, use of substances did not show appreciable effects with regard to alleviating somatic symptoms in people with fibromyalgia.
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The Graded Chronic Pain Scale (GCPS) is frequently used in pain research and treatment to classify mild, bothersome, and high impact chronic pain. This study's objective was to validate the revised version of the GCPS (GCPS-R) in a US Veterans Affairs (VA) healthcare sample to support its use in this high-risk population. ⋯ Findings highlight categorical differences captured with the GCPS-R, and convergent validity supports use of the GCPS-R in US Veterans.
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Clinical predictors of sleep quality in patients with fibromyalgia syndrome (FMS) are still unknown. By identifying these factors, we could raise new mechanistic hypotheses and guide management approaches. We aimed to describe the sleep quality of FMS patients and to explore the clinical and quantitative sensory testing (QST) predictors of poor sleep quality and its subcomponents. ⋯ Symptom severity, fatigue, pain, and depression (but no central sensitization) are the main predictors of poor sleep quality. Heart rate changes independently predicted the sleep disturbance subdomain (the most affected one in our sample), suggesting an essential role of physical conditioning in modulating sleep quality in FMS patients. This underscores the need for multidimensional treatments targeting depression and physical activity to improve the sleep quality of FMS patients.