ArticlePatient preference and adherence2024
Network Analysis of Pain Catastrophizing, Self-Efficacy, and Kinesiophobia Among Patients After Total Knee Arthroplasty: A Cross-Sectional Study.
Article in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The association of movement-evoked pain with cognitive and emotional factors: A cross-sectional study.Osteoarthritis and cartilage open · 2026Article
- Multidimensional analysis of the clinical spectrum and symptom burden of unexplained myofascial pain.medRxiv : the preprint server for health sciences · 2026Article
- Family Functioning and Kinesiophobia in Patients After Pacemaker Implantation: A Cross-Sectional Serial Mediation Study of Pain and Pain Catastrophizing.Journal of pain research · 2026Article
- The Relationship Among Pain, Intrinsic Capacity, and Fear of Movement in Patients with Knee Osteoarthritis: A Moderated Network Analysis.Journal of pain research · 2026Article
- Beyond the Surgery: The Impact of Coping Strategies on Persistent Pain After Rotator Cuff Repair.Journal of clinical medicine · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: Kinesiophobia is common in patients after total knee arthroplasty and is an important risk factor for post-operative recovery outcomes. Little is known about the complex intercorrelations between different components of pain catastrophizing, self-efficacy, and kinesiophobia. This study aimed to identify the central components of kinesiophobia and to explore the interconnectedness between components of pain catastrophizing, self-efficacy, and kinesiophobia. Methods: A total of 216 patients after total knee arthroplasty were recruited in this study. Pain Catastrophizing Scale, Self-efficacy of Rehabilitation Outcome Scale and Tampa Scale for Kinesiophobia were used to assess pain catastrophizing, self-efficacy and kinesiophobia. R software was used to visualize the networks and analyze the centrality of the networks. The index "strength" and "bridge expected influence" were employed to identify the central components and the bridge components of the networks. Results: In the item network of kinesiophobia, three items ("Simply being careful that I do not make any unnecessary movements is the safest thing I can do to prevent my pain from worsening", "My accident has put my body at risk for the rest of my life", and "My body is telling me I have something dangerously wrong") had the highest strength centrality. In the pain catastrophizing/self-efficacy-kinesiophobia network, rumination had the highest positive bridge expected influence, while coping self-efficacy had the highest negative value. Conclusion: The three central components of kinesiophobia identified in this study, as well as two bridge variables (rumination and coping self-efficacy), could be promising and effective targets for prevention and intervention of kinesiophobia.
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