Evidence map›Paper›PMID 41368313›Full record

ArticleFrontiers in medicine2025

Construction and validation of a predictive model for post-operative kinesiophobia in total hip arthroplasty patients.

Sunjuan Dong, Xiucheng Guo, Yanling Zhou, Yinzhong Chen, Chi Wang, SiJing Peng, Li Wu, Wenxi Han, Weiting Liu

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Sunjuan Dong *School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Xiucheng Guo *The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.
Yanling ZhouSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Yinzhong ChenKey Laboratory of Geriatric Nursing and Health, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Chi WangSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
SiJing PengSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Li WuSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Wenxi HanSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Weiting LiuSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Total hip arthroplasty (THA) is an effective treatment for end-stage hip disease, which can significantly relieve pain, rebuild joint function, and improve patients' quality of life. Early post-operative functional exercises are essential to promote the recovery of hip function and minimize complications. However, some patients are afraid of exercise due to the risk of pain or dislocation of the prosthesis, resulting in poor adherence to rehabilitation exercises. Kinesiophobia has now become a key factor hindering the rehabilitation process and leading to poor functional recovery. Therefore, early identification of high-risk groups and implementation of targeted interventions are essential to improve patient prognosis. Objectives: To construct and validate a risk prediction model for post-operative kinesiophobia in total hip arthroplasty (THA) patients. Methods: This study is a single-center cross-sectional study with only internal validation. Through the convenience sampling method, 205 patients who underwent total hip arthroplasty (THA) at the Second Affiliated Hospital of Shandong First Medical University from October 2024 to May 2025 were selected as the study subjects. Independent predictors associated with the occurrence of kinesiophobia were screened by univariate analysis and multifactorial logistic regression analysis. A nomogram risk prediction model was constructed using R software, and the Hosmer-Lemeshow test, receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curves, and decision analysis curves (DCA) were used to evaluate the model's goodness-of-fit, discriminability, calibration, and clinical utility, respectively. The Bootstrap method was used to perform 1,000 repeated samplings for internal validation of the model. Results: A total of 126 out of 205 post-operative THA patients developed kinesiophobia, and the incidence of kinesiophobia was 61.5%. Logistic regression showed that pain history duration, anxiety, hip function, coping style, and rehabilitation self-efficacy were the influencing factors for the development of kinesiophobia in post-operative patients with THA ( Conclusion: THA patients with a pain history duration (> 1 year), anxiety, poor hip function, low active coping, and poor rehabilitation self-efficacy are more likely to develop kinesiophobia after surgery. The constructed model has good predictive efficacy, which is helpful for early clinical identification of high-risk patients and provides a reference for developing individualized interventions.

Indexed as

influencing factorskinesiophobianomogramrisk prediction modetotal hip arthroplasty

Identifiers

PMID41368313
PMCPMC12682894

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