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Objectives: A two-arm parallel randomised controlled trial was conducted to evaluate the efficacy of a group acceptance-based treatment (ABT) in improving pain acceptance, pain catastrophising, kinesiophobia, pain intensity and physical functioning compared to treatment as usual in patients with fibromyalgia (FM) and comorbid obesity., Methods: Female individuals diagnosed with FM and obesity (n = 180) were randomly assigned to either a three-weekly group acceptance-based treatment plus treatment as usual (ABT+TAU) or only TAU. The variables of interest were assessed at baseline (T0) and after the interventions (T1). The treatment protocol for the ABT+TAU condition, designed for an inpatient rehabilitation context, is based on acceptance and commitment therapy but focuses specifically on pain acceptance, a crucial factor in fostering a more functional adaptation to chronic pain., Results: Participants in the ABT+TAU group showed significant improvements in pain acceptance (i.e. the primary outcome), but also in pain catastrophising, kinesiophobia, and performance-based physical functioning (i.e. the secondary outcomes) compared to those in the TAU group. However, there were no significant differences in pain intensity between the two groups., Conclusions: These findings indicate that a brief group-based ABT intervention is effective in enhancing pain acceptance, reducing pain catastrophising and kinesiophobia, and improving performance-based physical functioning. Furthermore, the observed improvements in kinesiophobia and physical functioning may have particular relevance for individuals with comorbid obesity, as they can facilitate greater adherence to physical activity and promote weight loss.

This systematic review and meta-analysis aimed at evaluating the role of sleep disturbances and sleep disorders in influencing presence and intensity of chronic postsurgical pain (CPSP). We included cohort studies which enrolled adults, assessed sleep disturbances or disorders before surgery, measured pain intensity, presence of pain, or opioid use at least three months after surgery. Eighteen studies were included in a narrative synthesis and 12 in a meta-analysis. Sleep disturbances and disorders were significantly related to CPSP, with a small effect size, r = 0.13 (95% CI 0.06-0.20). The certainty of evidence was rated low due to risk of bias and heterogeneity. In subgroup analyses the above association was significant in studies that used pain intensity as the outcome, but not in those that used presence of pain; in studies on patients who underwent total knee arthroplasty or other surgeries, but not in those on patients who had breast cancer surgery or total hip arthroplasty; in the single study that assessed insomnia and in studies that assessed sleep disturbances as predictors. A meta-regression showed that the follow-up length was positively associated with the overall estimate. Our findings suggest that presurgical sleep disturbances and disorders should be evaluated to detect patients at risk for CPSP. Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=272654., Competing Interests: Conflicts of interest The authors have no conflicts of interests to declare, that may be affected by the publication of the paper. Other conflicts of interests are as follows: GP research is supported by Takeda, Jazz Pharmaceuticals, Bioproject, Idorsia., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Knowledge about psychological and psychosocial predictors of chronic postsurgical pain is important to identify patients at risk for poor outcomes. The objective of this systematic review with meta-analysis was to assess the effect of such predictors. A comprehensive search of the available literature on this topic was performed using the electronic databases PubMed, Scopus, Embase, and PsycInfo. Estimates of the effect of each predictor were extracted, and both a narrative synthesis and a quantitative synthesis of these estimates were performed. Multiple imputation was used to take into account the effect of nonsignificant estimates in case they were not reported by original studies. From a sample of 8322 records, 83 articles were included in the narrative synthesis and 41 studies were used to perform the meta-analyses. The narrative synthesis showed that evidence about the effect of psychological predictors is heterogeneous, with few expected predictors, such as optimism, state anxiety and psychological distress, consistently associated with chronic postsurgical pain. By contrast, the meta-analyses showed that state anxiety, trait anxiety, mental health, depression, catastrophizing and, to a lesser extent, kinesiophobia and self-efficacy have a weak but significant association with chronic postsurgical pain. In conclusion, this study showed that psychological predictors have a significant association with chronic postsurgical pain and that state anxiety is the most explicative one.

The Hospital Anxiety and Depression Scale (HADS) is a scale originally developed for the assessment of anxiety and depression in hospitalized patients. Despite its wide diffusion, research on its factorial structure has displayed inconsistent results, leaving doubts about its use in chronic musculoskeletal pain. The purpose of this study was to thoroughly assess the factorial structure of the HADS in patients with chronic pain and to give guidance for a potential refinement. Data from 2,522 patients with chronic pain from the Amsterdam Pain (AMS-PAIN) cohort were analyzed through: 1) exploratory bifactor analysis based on a Schmid-Leiman orthogonalization, 2) confirmatory factor analysis comparing a unidimensional model, the original correlated factors model and a bifactor model, 3) item response theory (IRT) analysis based on the graded response model. The results of the confirmatory factor analysis and of the IRT analysis were then cross-validated in an independent sample of patients with chronic pain (n = 8,604). Both exploratory and confirmatory analyses revealed the presence of a strong general emotional distress factor, suggesting that the HADS can be used as a unidimensional scale. The IRT analysis led to the exclusion of three items and to the recoding of one item. The refined 11-item HADS scale was successfully cross-validated and confirmed as a unidimensional, locally independent, monotonic, and reliable scale. PERSPECTIVE: An 11-item shorter version of the HADS could be used to measure emotional distress in patients with chronic musculoskeletal pain. Given its unidimensionality, the use of its total score seems appropriate., (Copyright © 2019 United States Association for the Study of Pain, Inc. Published by Elsevier Inc. All rights reserved.)