护理实习生临床压力感知与认知情绪调节策略的网络分析

    Network analysis of clinical stress perception and cognitive emotion regulation strategies among nursing interns

    • 摘要:
      目的: 构建护理实习生临床压力感知的网络结构,识别核心中心节点,从网络分析视角揭示临床压力感知与认知情绪调节策略间的桥梁连接机制,为护理实习生心理健康干预提供精准靶点。
      方法: 采用横断面研究设计,选取452名护理实习生为研究对象,使用一般资料调查表、护理实习生临床压力感知量表、认知情绪调节问卷开展调查,采用Rstudio 4.5.1软件构建网络分析模型并计算相关指标。
      结果: 临床压力感知网络的核心中心节点为不当教学行为、临床环境不足、临床教学规划低效;临床压力感知与认知情绪调节策略的桥梁网络中,护理特点的忧虑、自我责难、临床环境不足、灾难化为核心桥梁节点,是二者关联的关键枢纽。网络稳定性检验显示,节点强度相关稳定系数为0.75,桥梁强度相关稳定系数为0.52,均>0.25,网络结构稳定。
      结论: 不当教学行为、临床环境不足等中心节点及护理特点的忧虑、自我责难等桥梁节点,结合其临床可干预性特征,可作为护理实习生心理健康干预的潜在核心靶点。

       

      Abstract:
      Objective To construct the network structure of clinical stress perception of nursing interns, identify the core central node, and reveal the bridge connection mechanism between clinical stress perception and cognitive emotion regulation strategies from the perspective of network analysis, so as to provide accurate targets for mental health intervention of nursing interns.
      Methods A cross-sectional study design was adopted, 452 nursing interns were selected as the research subjects. The general information questionnaire, Clinical Stress Perception Scale for Nursing Interns and Cognitive Emotion Regulation Questionnaire were used for the investigation. The Rstudio 4.5.1 software was used to construct the network analysis model and calculate the relevant indicators.
      Results The core central nodes of the clinical stress perception network were the inappropriate teaching behaviors, insufficient clinical environment and inefficient clinical teaching planning. In the bridge network of clinical stress perception and cognitive emotion regulation strategies, the anxiety of nursing characteristics, self-blame, insufficient clinical environment and disaster became the core bridge nodes, which were the key hubs of the correlation between them. The network stability test showed that the node strength-related stability coefficient was 0.75, and the bridge strength-related stability coefficient was 0.52, both of which were greater than 0.25, indicating that the network structure was stable.
      Conclusions The central nodes such as improper teaching behavior and insufficient clinical environment and bridge nodes such as nursing characteristics such as worry and self-blame, combined with their clinical intervention characteristics, can be used as the potential core targets for mental health intervention of nursing interns.

       

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