乳腺癌患者述情障碍与心理一致感的关系: 基于网络分析模型

Relationship between alexithymia and sense of coherence in breast cancer patients: a network analysis model

  • 摘要:
    目的 基于网络分析模型探讨乳腺癌患者述情障碍与心理一致感的关系,精准识别网络中的核心节点和桥梁节点,为干预提供网络视角的关键靶点。
    方法 采用便利抽样法选取324例乳腺癌患者作为调查对象,采用一般资料调查表、多伦多述情障碍量表和心理一致感量表对患者进行调查。基于R语言进行网络模型构建及相关指标计算。
    结果 描述情感障碍(strength=0.80)为网络中强度最高的节点,其后依次是可控制感(strength=0.59)和可理解感(strength=0.54)。网络中桥梁强度最高的节点是意义感(bridge strength=0.37), 然后是外向型思维(bridge strength=0.33)。
    结论 网络分析不仅揭示了变量间关系,更精准定位了网络中的关键节点。乳腺癌患者述情障碍与心理一致感网络中,描述情感障碍是核心节点,意义感和外向型思维是桥梁节点。医护人员可针对核心节点和桥梁节点制订精准化干预措施,改善乳腺癌患者的心理健康。

     

    Abstract:
    Objective To explore the relationship between alexithymia and sense of coherence in breast cancer patients based on a network analysis model, to accurately identify core and bridge nodes in the network, and to provide key targets for precise interventions from a network perspective.
    Methods A total of 324 breast cancer patients were selected as survey subjects by the convenience sampling method. The patients were investigated by using the General Information Questionnaire, the Toronto Alexithymia Scale and the Sense of Coherence-13. Network model construction and related index calculation based on R language were performed.
    Results Difficulty in describing feelings (strength=0.80) had the highest strength node in the network, followed by manageability (strength=0.59) and comprehensibility (strength=0.54). The node with the highest strength of bridges in the network was meaningfulness (bridge strength=0.37), followed by externally oriented thinking (bridge strength=0.33).
    Conclusion Network analysis not only reveals the relationships among variables, but also pinpoints key nodes in the network. In the network of alexithymia and sense of coherence in breast cancer patients, descriptive affective disorder is the core node, while sense of meaning and extroverted thinking are the bridge nodes. Healthcare professionals can develop precise interventions for the core and bridge nodes to improve the mental health of breast cancer patients.

     

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