Network Analysis of Pain Catastrophizing, Self-Efficacy, and Kinesiophobia Among Patients After Total Knee Arthroplasty: A Cross-Sectional Study

全膝关节置换术后患者疼痛灾难化、自我效能和运动恐惧症的网络分析:一项横断面研究

阅读:1

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。