ArticleBMC nursing2025
Emotional symptom networks in ICU nurses: a comparative network analysis of tertiary-A and tertiary-B hospitals in China.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Surgical paradox: physiological activation and improved mood state during surgical work in pediatric surgeons.Journal of occupational health · 2026Article
- Network Analysis of Sleep Quality and Psychiatric Symptoms Among ICU Nursing Staff.Journal of nursing management · 2026Article
- Development and External Validation of a Machine Learning Model for Risk Stratification of Presenteeism in Clinical Nurses: A Multicenter Cross-Sectional Study.Journal of nursing management · 2026Article
- When and How Head Nurses' Ethical Leadership Shapes Nurses' Creative Patient Service: The Roles of Ethical Generative AI Usage and AI Compatibility.Journal of nursing management · 2026Article
- Perceived Perioperative Competence, Self-Efficacy, and Job Burnout Among Chinese Operating Room Nurses: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
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4 authors.
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Abstract
backgroundIntensive Care Unit (ICU) nurses experience significant psychological distress due to the high-stakes and high-intensity nature of their work environments. This study aims to explore the differences in emotional symptom networks between tertiary-A and tertiary-B hospital ICU nurses using network analysis to identify central symptoms and inform targeted interventions.
methodA total of 498 ICU nurses were divided into two groups based on hospital level: the tertiary-A hospital group (n = 174) and the tertiary-B hospital group (n = 324). Mood states were measured using the Profile of Mood States-Short Form (POMS-SF). Network analysis was employed to estimate and compare the symptom networks between the two groups, identify central symptoms that link distinct symptom clusters, and conduct network comparison tests to assess differences in overall and local network structures.
resultsIn the tertiary-A hospital group, the most prominent symptoms were POMS4 (Depression-Dejection), POMS1 (Tension-Anxiety), and POMS2 (Anger-Hostility), with the expected influence value indicating that POMS4 (Depression-Dejection) was the most significant. In the tertiary-B hospital group, the most significant central symptoms were POMS1 (Tension-Anxiety), POMS2 (Anger-Hostility), and POMS4 (Depression-Dejection), where POMS1 (Tension-Anxiety) had the highest expected influence value. The network comparison test revealed significant differences in the network invariance test (M = 0.345, P = 0.003) and the Global expected influence invariance test (S = 0.173, P = 0.020).
conclusionThis study identifies distinct emotional symptom networks in ICU nurses across tertiary-A and tertiary-B hospitals, with depression-dejection (POMS4) central in tertiary-A hospitals and tension-anxiety (POMS1) more prominent in tertiary-B hospitals. These findings highlight the need for tailored interventions and hospital-tier-specific mental health support to address the unique emotional challenges faced by ICU nurses, ultimately improving nurse well-being and patient care quality. CLINICAL
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