{
  "abstract": "Background\n\nA nomogram model was developed to assess the risk of kinesiophobia in post-cardiac surgery patients, aiming to provide a basis for the early identification of high-risk individuals and guide clinical interventions.Methods\n\nThis study employed a cross-sectional design and recruited post-cardiac surgery patients admitted to a tertiary Grade A hospital in Shanghai between June 2024 and June 2025. Univariate analysis and logistic regression analysis were performed using SPSS 27.0 to identify independent risk factors for kinesiophobia. Internal validation of the model was carried out in R 4.4.3 using the Bootstrap method with 1,000 resamples. The predictive performance of the model was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA), and a nomogram was generated to visually represent the model.Results\n\nA total of 477 valid questionnaires were collected, among which 292 patients exhibited kinesiophobia, corresponding to a prevalence of 61.22%. Logistic regression analysis indicated that pain intensity, social support level, fatigue, Type D personality, and educational level were independent risk factors for kinesiophobia in post-cardiac surgery patients (P < 0.05). The calibration curve, receiver operating characteristic (ROC) curve, and DCA all demonstrated the model's high quality.Conclusion\n\nPost-cardiac surgery patients are at a high risk of developing kinesiophobia. The nomogram model developed in this study can provide healthcare professionals with a practical tool for the early identification of high-risk individuals and the implementation of targeted interventions.",
  "abstract_shown": true,
  "affiliations": [
    "Cardiac Surgery Intensive Care Unit, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.",
    "Cardiac Surgery Intensive Care Unit, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China. 1158962690@qq.com."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zihan Hong"
    },
    {
      "affs": [
        0
      ],
      "name": "Mengjun Zhan"
    },
    {
      "affs": [
        0
      ],
      "name": "Yao Shi"
    },
    {
      "affs": [
        1
      ],
      "name": "Junjun Gu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/b7pb35093333x.bib",
  "cited_by": 0,
  "doi": "10.1186/s12872-026-06301-x",
  "fulltext_url": "https://europepmc.org/articles/PMC13721678",
  "id": "b7pb35093333x",
  "issns": [
    "1471-2261"
  ],
  "landing_url": "https://europepmc.org/article/MED/42958031",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research"
    ],
    [
      "openalex",
      "2705|Cardiac Health and Mental Health"
    ]
  ],
  "openalex": "W7172136044",
  "pdf_url": "https://europepmc.org/articles/PMC13721678?pdf=render",
  "pmcid": "PMC13721678",
  "pmid": "42958031",
  "published": "2026-08-01",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/b7pb35093333x.ris",
  "sources": [
    {
      "first_seen": "2026-11-01T00:20:47Z",
      "native_id": "MED:42958031",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42958031"
    },
    {
      "first_seen": "2026-11-03T12:22:20Z",
      "native_id": "PMC13721678",
      "source": "pmc",
      "url": "https://doi.org/10.1186/s12872-026-06301-x"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2705|Cardiac Health and Mental Health",
      "subfield": "cardiovascular"
    }
  ],
  "title": "Analysis of factors influencing kinesiophobia in post-cardiac surgery patients and construction of a nomogram prediction model.",
  "title_text": "Analysis of factors influencing kinesiophobia in post-cardiac surgery patients and construction of a nomogram prediction model.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T12:22:20Z",
  "url": "https://research.draconitic.com/paper/b7pb35093333x",
  "venue": "BMC cardiovascular disorders",
  "versions": []
}