脑卒中高危人群健康信念与院前延迟行为意向的网络分析
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海军军医大学深蓝护理科研PI团队项目(2022KYP04),黑龙江省卫生健康委员会科技计划项目(20251414050074).


Network analysis of health belief and pre-hospital delay behavioral intention among high-risk population for stroke
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Supported by Deep Blue Nursing Scientific Research PI Team Project of Naval Medical University (2022KYP04) and Science and Technology Project of Health Commission of Heilongjiang Province (20251414050074).

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    摘要:

    目的 调查脑卒中高危人群健康信念与院前延迟行为意向状况,构建联合网络识别核心问题并探索变量间的关系。方法 采用便利抽样法,选取2024年7月至2025年3月海军军医大学第一附属医院449例脑卒中高危个体,采用一般资料调查表、健康信念量表和脑卒中院前延迟行为意向量表进行问卷调查。将健康信念量表和脑卒中院前延迟行为意向量表的每个维度视作1个节点,通过网络分析构建联合网络模型,识别核心节点和桥梁节点,并分析各节点的影响力和重要性。结果 脑卒中高危人群的健康信念得分为(159.8±33.4)分,总体处于中等水平;脑卒中院前延迟行为意向得分为(70.6±21.7)分,提示总体可能性中等。症状归因(strength=0.88)、感到有控制力(strength=0.83)、感到有实施能力(strength=0.71)是联合网络中的核心节点,感到有威胁(bridge strength=1.56)、症状归因(bridge strength=1.08)、感到有资源利用(bridge strength=0.89)是关键桥梁节点。结论 脑卒中高危人群健康信念与院前延迟行为意向之间存在复杂关系,症状归因、感到有控制力、感到有实施能力、感到有威胁和感到有资源利用是干预靶点。

    Abstract:

    Objective To investigate the health belief and pre-hospital delay behavioral intention among high-risk population for stroke, construct a joint network to identify core issues, and explore relationships among variables. Methods A total of 449 high-risk individuals for stroke were recruited from The First Affiliated Hospital of Naval Medical University between Jul. 2024 and Mar. 2025 using convenience sampling. A questionnaire survey was done by general information questionnaire, health belief scale, and stroke pre-hospital delay behavioral intention scale. Each dimension of the health belief scale and the stroke pre-hospital delay behavioral intention scale was regarded as a node, and a joint network was constructed using network analysis. Then the core nodes and bridge nodes were identified, and the influence and importance of each node were analyzed. Results The total score of health belief among the participants was 159.8±33.4, indicating an overall medium level; the total score of stroke pre-hospital delay behavioral intention was 70.6±21.7, suggesting a moderate overall possibility. Symptom attribution (strength=0.88), perceived control (strength=0.83), and perceived implementation capability (strength=0.71) were core nodes in the joint network. Perceived threat (bridge strength=1.56), symptom attribution (bridge strength=1.08), and perceived resource utilization (bridge strength=0.89) were key bridge nodes. Conclusion A complex relationship exists between health belief and pre-hospital delay behavioral intention in high-risk population for stroke. Symptom attribution, perceived control, perceived implementation capability, perceived threat, and perceived resource utilization are priority intervention targets for this population.

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  • 收稿日期:2025-12-02
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  • 在线发布日期: 2026-04-18
  • 出版日期: 2026-04-20
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