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Background/objectives: The aim of this study was to examine the effectiveness of two video-based multicomponent programs (FIBROWALK) and the Multicomponent Physiotherapy Program (MPP) for patients with fibromyalgia (FM) compared to treatment-as-usual (TAU) only. We posit that FIBROWALK, due to inclusion of specific psychological ingredients (cognitive restructuring and mindfulness), can produce additional clinical benefits when compared to TAU or MPP alone.
Methods: A total of 330 patients with FM were recruited and randomly allocated (1:1:1) to TAU only, TAU + FIBROWALK, or TAU + MPP. FIBROWALK and MPP consisted of weekly videos on pain neuroscience education, therapeutic exercise and self-management patient education, but only the FIBROWALK intervention provided cognitive restructuring and mindfulness. Both programs were structurally equivalent. Between-group differences in functional impairment, pain, kinesiophobia, anxious-depressive symptoms and physical functioning were evaluated at post-treatment following Intention-To-Treat and complete-case approaches.
Results: Compared to TAU only, individuals in the FIBROWALK arm showed larger improvements in all clinical outcomes; similarly, participants in the MPP program also showed greater improvements in functional impairment, perceived pain, kinesiophobia, depressive symptoms compared to TAU only. The FIBROWALK intervention showed superior effects in improving pain, anxiety and depressive symptoms and physical functioning compared to MPP.
Conclusions: This RCT supports the short-term effectiveness of the video-based multicomponent programs FIBROWALK and MPP for FM and provides evidence that cognitive-behavioural and mindfulness-based techniques can be clinically useful in the context of physiotherapeutic multicomponent treatment programs.
Trial Registration Number: NCT04571528.
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http://dx.doi.org/10.1016/j.brat.2022.104188 | DOI Listing |
J Telemed Telecare
September 2025
Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Izmir Katip Celebi University, Izmir, Türkiye.
IntroductionTo investigate the effectiveness of the remote video-based Strengthening and Stretching for Rheumatoid Arthritis of the Hand (SARAH) exercise program in individuals with rheumatoid arthritis (RA) with wrist involvement.MethodsSeventy-three individuals were included in the study. Wrist joint position sense, wrist joint range of motion, wrist pain, wrist morning stiffness, subjective and objective hand function, grip strength, and disease-related health status were assessed at baseline and after 12 weeks.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Teacher Education, Taishan University, Tai'an, China.
Background: Past research has indicated the close connection between social media use and women's envy, but so far, no research has been conducted to exclusively examine the effect and mechanism of social media use on women's body-related envy.
Objective: To fill this gap, with TikTok as a representative example of video-based social media, four studies ( = 767) were conducted to explore whether and how social media use increases women's body-related envy, and the subsequent downstream consequences.
Method And Results: In Study 1a, we employed an online questionnaire survey and found that TikTok use had a significantly positive prediction on women's body-related envy.
Neuroscience
September 2025
Department of Medicine, LSU Health Shreveport, Shreveport, LA, USA. Electronic address:
Early and accurate Alzheimer's disease (AD) diagnosis is critical for effective intervention, but it is still challenging due to neurodegeneration's slow and complex progression. Recent studies in brain imaging analysis have highlighted the crucial roles of deep learning techniques in computer-assisted interventions for diagnosing brain diseases. In this study, we propose AlzFormer, a novel deep learning framework based on a space-time attention mechanism, for multiclass classification of AD, MCI, and CN individuals using structural MRI scans.
View Article and Find Full Text PDFBackground: Sphericity is a measurement of how closely an object approximates a globe. The sphericity of the blood pool of the left ventricle (LV), is an emerging measure linked to myocardial dysfunction.
Methods: Video-based deep learning models were trained for semantic segmentation (pixel labeling) in cardiac magnetic resonance imaging in 84,327 UK Biobank participants.
Educ Prim Care
September 2025
Department of Psychology, University of Bath, Bath, UK.
Background: Simulated Consultation Assessment (SCA) preparation is critical for GP trainees, with the traditional approach relying on trained medical actors. However, limited actor availability, scheduling constraints and high costs often restrict practice opportunities. This evaluation aimed to assess a conversational artificial intelligent (AI) system as an educational tool for GP consultation skills training, examining its acceptability, perceived educational impact and implementation considerations for training.
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