Li Xuting, Tian Yusheng, Yang Jiaxin, Ning Meng, Chen Zengyu, Yu Qiang, Liu Yiting, Huang Chongmei, Li Yamin
Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Crit Care. 2025 Jan 21;29(1):39. doi: 10.1186/s13054-025-05282-1.
Critical care nurses are vulnerable to depression, which not only lead to poor well-being and increased turnover intention, but also affect their working performances and organizational productivity as well. Work related factors are important drivers of depressive symptoms. However, the non-liner and multi-directional relationships between job demands-resources and depressive symptoms in critical care nurses has not been adequately analyzed. Understanding these relationships would be helpful for reducing depression, increasing nurses' well-being and retain healthcare forces.
This was a cross-sectional study using baseline data from the Nurses' mental health study (NMHS), a prospective cohort study on nurses from 67 tertiary hospitals in 31 province-level administrative regions in China. Only clinical nurses working in the ICU were included (n = 13,745). Data were collected using online questionnaires, and analyzed using network analysis and structural equation model. Job demands (average working hours per week, average number of night shifts per month, paperwork burden and work-life balance), job resources (supervisor support, co-worker support, leader justice, organizational climate satisfaction, work meaning, and career prospect), personal resource (resilience) and depressive symptoms were main variables in the networks, while demographic data and social health (social-emotional support and loneliness) were covariates.
The prevalence of severe, moderately severe, moderate, mild, and none or minimum depressive symptoms in critical care nurses of this study were 1.21, 3.42, 9.76, 42.88, and 42.07% respectively. In the final network, 132 of 210 possible edges (62.8%) were not zero. "Fatigue" had the highest expected influence, followed by "Motor", and "Appetite". Meanwhile, in terms of job demands-resources and personal resources, the node with the highest expected influence was "Supervisor support", followed by "Work meaning" and "Co-worker support". Three bridge variables were identified: "Resilience-adaptation", "Average working hours per week", and "Co-worker support". The final structural equation model basically supported the results of network analysis with an acceptable model-fit (GFI = 0.918, AGFI = 0.896, PCFI = 0.789, PNFI = 0.788, NFI = 0.909, IFI = 0.911, CFI = 0.911, SRMR = 0.040, and RMSEA = 0.064).
There was a rather strong interconnectedness between depressive symptoms and job demands-resources. Fatigue, motor, and appetite were core depressive symptoms of critical care nurses. Close attention to those symptoms could help recognize depression in critical care nurses. Supervisor support, work meaning, and co-worker support played vital roles as job resources in reducing depression, while negative impact of long average working hours per week were more contagious. Resilience, as personal resources, could help mediate the associations between job demands-resources and depression. In clinical practice, it's recommended for nursing managers to (1) encourage critical care nurses to find their "meaning in work", (2) implement resilience enhancing programs for nurse, (3) build and maintain meaningful relationships with nurses and support them in daily work, and (4) create a harmonious and dedicated working environment where co-workers are willing to help and support each other. Improvements in those modifiable aspects could help reduce risk and prevent exacerbations of depressive symptoms in critical care nurses.
重症监护护士易患抑郁症,这不仅会导致幸福感降低和离职意愿增加,还会影响他们的工作表现和组织生产力。工作相关因素是抑郁症状的重要驱动因素。然而,重症监护护士的工作需求 - 资源与抑郁症状之间的非线性和多向关系尚未得到充分分析。了解这些关系将有助于减少抑郁症,提高护士的幸福感并留住医疗保健人员。
这是一项横断面研究,使用了护士心理健康研究(NMHS)的基线数据,NMHS是一项针对中国31个省级行政区67家三级医院护士的前瞻性队列研究。仅纳入在重症监护室工作的临床护士(n = 13745)。数据通过在线问卷收集,并使用网络分析和结构方程模型进行分析。工作需求(每周平均工作小时数、每月平均夜班次数、文书工作负担和工作与生活平衡)、工作资源(上级支持、同事支持、领导公正性、组织氛围满意度、工作意义和职业前景)、个人资源(心理韧性)和抑郁症状是网络中的主要变量,而人口统计学数据和社会健康(社会情感支持和孤独感)是协变量。
本研究中重症监护护士中重度、中度重度、中度、轻度以及无或最低抑郁症状的患病率分别为1.21%、3.42%、9.76%、42.88%和42.07%。在最终网络中,210条可能的边中有132条(62.8%)不为零。“疲劳”的预期影响最高,其次是“运动”和“食欲”。同时,在工作需求 - 资源和个人资源方面,预期影响最高的节点是“上级支持”,其次是“工作意义”和“同事支持”。确定了三个桥梁变量:“心理韧性 - 适应”、“每周平均工作小时数”和“同事支持”。最终的结构方程模型基本支持网络分析结果,模型拟合度可接受(GFI = 0.918,AGFI = 0.896,PCFI = 0.789,PNFI = 0.788,NFI = 0.909,IFI = 0.911,CFI = 0.911,SRMR = 0.040,RMSEA = 0.064)。
抑郁症状与工作需求 - 资源之间存在相当强的相互联系。疲劳、运动和食欲是重症监护护士的核心抑郁症状。密切关注这些症状有助于识别重症监护护士的抑郁症。上级支持、工作意义和同事支持作为工作资源在减少抑郁方面发挥着至关重要的作用,而每周平均工作时间过长的负面影响更具传染性。心理韧性作为个人资源,可以帮助调节工作需求 - 资源与抑郁之间的关联。在临床实践中,建议护理管理者:(1)鼓励重症监护护士找到他们的“工作意义”;(2)为护士实施增强心理韧性的项目;(3)与护士建立并维持有意义的关系,并在日常工作中支持他们;(4)营造一个和谐且专注的工作环境,使同事愿意相互帮助和支持。在这些可改变的方面做出改进有助于降低重症监护护士抑郁症状的风险并防止其恶化。