Xu Y, Chen X, Li X, Liu F, Deng C, Jia P, Liu YY, Xie C. Influencing factors of kinesiophobia in knee arthroplasty patients under the social cognitive theory: A structural equation model.
Geriatr Nurs 2024;
60:270-280. [PMID:
39342894 DOI:
10.1016/j.gerinurse.2024.09.004]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/31/2024] [Accepted: 09/01/2024] [Indexed: 10/01/2024]
Abstract
OBJECTIVE
To analyze the path relationships among influencing factors for kinesiophobia in knee arthroplasty patients through a structural equation model.
BACKGROUND
The occurrence of kinesiophobia significantly impacts the rehabilitation process of knee arthroplasty patients. However, there is still a need to determine factors that contribute to reducing kinesiophobia.
DESIGN
A cross-sectional study was conducted and reported following the STROBE guideline.
METHODS
Between February 2022 to October 2022, 162 total knee arthroplasty (TKA) patients and 81 unicompartmental knee arthroplasty (UKA) patients completed a survey. A structural equation modeling (SEM) approach was utilized to analyze the relationships between kinesiophobia and influencing factors (social support, pain resilience, and rehabilitation self-efficacy). Furthermore, multi-group SEM analysis was conducted to examine whether the model equally fitted patients in different types of knee arthroplasty.
RESULTS
The direct negative effects of rehabilitation self-efficacy (β = -0.535) and pain resilience (β = -0.293) on kinesiophobia were observed. The mediating effect (β = -0.183) of pain resilience and rehabilitation self-efficacy between social support and kinesiophobia was also significant. The SEM model achieved an acceptable model fit (χ2 = 35.656, RMSEA = 0.031, χ2/df = 1.230, GFI = 0.972, NFI = 0.982, IFI = 0.997, CFI = 0.996). In multicohort analysis, no significant differences were observed among knee arthroplasties (TKA, UKA) (Δχ2 = 4.213, p = 0.648).
CONCLUSIONS
Satisfactory social support enhances pain resilience and rehabilitation self-efficacy, so as to reduce kinesiophobia. Future interventions that directly target the assessment and management of kinesiophobia, available social support may help reduce kinesiophobia, and pain resilience and rehabilitation self-efficacy may be critical factors in managing kinesiophobia.
RELEVANCE TO CLINICAL PRACTICE
Reducing kinesiophobia in knee arthroplasty patients requires satisfactory social support, pain resilience, and rehabilitation self-efficacy. Therefore, healthcare organizations may implement initiatives to reduce kinesiophobia by taking these factors into account.
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