Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (11): 74-81.doi: 10.6040/j.issn.1671-7554.0.2023.0792

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A nomogram analysis of the risk of kinesiophobia in patients with hip fracture after surgery

ZHANG Minghui1, WANG Liyun1, WANG Yun2, ZHANG Xinyue3, SHA Kaihui1   

  1. 1. School of Nursing, Binzhou Medical University, Binzhou 256600, Shandong, China;
    2. Department of Orthopaedic Trauma, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, Shandong, China;
    3. Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
  • Published:2023-12-12

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Abstract: Objective To investigate the incidence of kinesiophobia after hip fracture(HF), and explore the risk factors and construct a nomogram prediction model. Methods A total of 328 patients treated during Jan. 2022 and May 2023 who met the inclusion and exclusion criteria were collected with convenience sampling. The general information, kinesiophobia score, psychological resilience and sleep disorder of patients were investigated. The risk factors of kinesiophobia after HF were analyzed with Logistic regression. A nomogram prediction model was established and its prediction effects were verified. Results The probability of kinesiophobia after HF was 39.94%. Logistic regression showed that age, pain and sleep disorder were risk factors, while social support and psychological resilience were protective factors. The internal verification of the nomogram model showed that the C-index was 0.880; the area under the receiver operating characteristic(ROC)curve was 0.880(95%CI: 0.845-0.915). H-L test showed P=0.181, the correction curve was close to the ideal curve, and the net benefit value of decision curve in clinical application was high. Conclusion Age, pain, sleep disorder, social support and psychological resilience are independent influencing factors for kinesiophobia after HF. The nomogram model has good predictive efficiency and certain clinical value.

Key words: Hip fracture, Kinesiophobia, Risk factor, Nomogram, Prediction model

CLC Number: 

  • R641
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