揭示护理实习生工作异化的心理网络：资源节约视角和网络分析
Unveiling the psychological network of work alienation among nursing interns: A resource conservation perspective and network analysis.
摘要(中文译文)
临床实习对护生至关重要，但繁重的工作负荷和情感需求增加了工作疏离的风险。传统线性模型无法捕捉心理因素之间复杂的相互关系。应用心理网络分析探讨实习护生工作疏离的关联结构，识别中心节点和桥梁节点，以生成假设导向的干预优先事项。采用横断面调查设计。于2025年1月至8月通过便利抽样招募陕西省关中地区四所三级医院的实习护生。使用护士工作疏离量表、同情疲劳量表、道德困扰量表、护生伦理敏感性问卷及NASA任务负荷指数收集数据。共获得934份有效问卷。采用EBICglasso方法（γ = 0.5）估计正则化偏相关网络模型。计算节点强度和桥梁强度，并通过bootstrap评估稳定性。节点强度分析识别出个人责任（1.19）、倦怠（1.18）和未能维护患者最佳利益（1.13）为三个最中心的节点。桥梁强度分析显示继发性创伤应激（STS）为最强的桥梁节点（0.43，95% CI [0.31, 0.55]），其次是感知工作负荷（0.38）和自我评价（0.38）。亚组网络比较显示性别、年龄或学历间无显著结构差异（均p > 0.05）。稳定性分析证实中心性估计具有良好的稳健性。心理网络分析绘制了工作疏离的关联结构，识别出个人责任、倦怠和STS为关键枢纽节点和桥梁节点。这些发现为未来干预（如创伤知情照护、工作负荷管理、自我效能提升）提供了假设生成靶点，尚待纵向研究验证。
Abstract
Clinical internship is critical for nursing students, but heavy workload and emotional demands increase the risk of work alienation. Traditional linear models fail to capture complex interrelationships among psychological factors. To apply psychological network analysis to explore the associative structure of work alienation in nursing interns, identifying central and bridge nodes to generate hypothesis‑generating intervention priorities. A cross-sectional survey was employed. Nursing interns from four tertiary hospitals in the Guanzhong region of Shaanxi Province were recruited via convenience sampling from January to August 2025. Data were collected using the Nurse Work Alienation Scale, Compassion Fatigue Scale, Moral Distress Scale, Ethical Sensitivity Questionnaire for Nursing Students, and NASA Task Load Index. A total of 934 valid responses were obtained. A regularized partial correlation network model was estimated using the EBICglasso method (γ = 0.5). Node strength and bridge strength were calculated, and stability was assessed via bootstrap. Node strength analysis identified personal responsibility (1.19), burnout (1.18), and failure to maintain patient's best interest (1.13) as the three most central nodes. Bridge strength analysis revealed secondary traumatic stress (STS) as the strongest bridge (0.43, 95% CI [0.31, 0.55]), followed by perceived workload (0.38) and self‑evaluation (0.38). Subgroup network comparisons showed no significant structural differences by gender, age, or education (all p > 0.05). Stability analysis confirmed good robustness for centrality estimates. Psychological network analysis mapped the associative structure of work alienation, identifying personal responsibility, burnout, and STS as key hub and bridge nodes. These findings offer hypothesis‑generating targets for future interventions (e.g., trauma‑informed care, workload management, self‑efficacy enhancement), pending validation in longitudinal studies.
如何引用
AMA
Yang Guo, Xixi Huang, Chengguo Guan, Ruonan Wang, Jie Yao, Luying Yang, et al. Unveiling the psychological network of work alienation among nursing interns: A resource conservation perspective and network analysis.. PloS one. 2026; doi:10.1371/journal.pone.0351867.
APA
Yang Guo, Xixi Huang, Chengguo Guan, Ruonan Wang, Jie Yao, Luying Yang, et al (2026). Unveiling the psychological network of work alienation among nursing interns: A resource conservation perspective and network analysis.. PloS one. https://doi.org/10.1371/journal.pone.0351867
GB/T 7714
Yang Guo, Xixi Huang, Chengguo Guan, Ruonan Wang, Jie Yao, Luying Yang, et al. Unveiling the psychological network of work alienation among nursing interns: A resource conservation perspective and network analysis.[J]. PloS one, 2026 doi:10.1371/journal.pone.0351867.
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