ArticleFrontiers in public health2023
Post-traumatic stress disorder and depressive symptoms among firefighters: a network analysis.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 21 citations in OpenAlex.
- Exploring comorbidity patterns of psychosis-related post-traumatic stress disorder and depression symptoms in stabilised hospitalised schizophrenia patients and relationships with sleep quality and quality of life: a latent profile analysis.European journal of psychotraumatology · 2026Article
- Barriers and Access to Care for Firefighters With Posttraumatic Stress Disorder Seeking Ketamine-Assisted Therapy: A Qualitative Study.Journal of occupational and environmental medicine · 2026Article
- Gender-Specific Network Structures of Depression and PTSD Symptoms in Chinese Firefighters.Psychology research and behavior management · 2026Article
- Cognitive appraisal, emotional responses, and emotion regulation in firefighters' occupational stress-A pilot study.Frontiers in public health · 2026Article
- Network analysis of psychological and behavioral variables in firefighters: identification of central nodes and bridge variables.Frontiers in public health · 2026Article
- Violence Directed at Healthcare Staff by Children and Adolescents Treated in In-Patient Psychiatric Wards: Emotional Labor, PTSD Symptoms, and Physical and Mental Fatigue.International journal of mental health nursing · 2025Article
- Symptom network connectivity in PTSD comorbid with depression in bereaved Chinese parents who have lost their only child.BMC psychiatry · 2025Article
- Relationship between time perspective and depressive symptoms in young people working in high-altitude environments.BMC psychiatry · 2025Article
- Mediating effect of occupational stress between skeletal muscle disorders and depressive symptoms in firefighters: a Structural Equation Modeling approach.International journal of occupational medicine and environmental health · 2025Article
- Network analysis of post-traumatic stress disorder symptoms in stroke patients.Frontiers in psychiatry · 2025Article
- Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective.Nature and science of sleep · 2025Article
- The bridge relationships of PTSD and depression symptoms among snakebite victims: a cross-sectional community-based survey.BMC psychology · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Firefighters, as first responders with a high risk of occupational exposure to traumatic events and heavy working stress, have a high prevalence of PTSD symptoms and depressive symptoms. But no previous studies analyzed the relationships and hierarchies of PTSD and depressive symptoms among firefighters. Network analysis is a novel and effective method for investigating the complex interactions of mental disorders at the symptom level and providing a new understanding of psychopathology. The current study was designed to characterize the PTSD and depressive symptoms network structure in the Chinese firefighters. Method: The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) and the Self-Rating Depression Scale (SDS) were applied to assess PTSD and depressive symptoms, respectively. The network structure of PTSD and depressive symptoms was characterized using "expected influence (EI)" and "bridge EI" as centrality indices. The Walktrap algorithm was conducted to identify communities in the PTSD and depressive symptoms network. Finally, Network accuracy and stability were examined using the Bootstrapped test and the case-dropping procedure. Results: A total of 1,768 firefighters were enrolled in our research. Network analysis revealed that the relationship between PTSD symptoms, "Flashback" and "Avoidance," was the strongest. "Life emptiness" was the most central symptom with the highest EI in the PTSD and depression network model. Followed by "Fatigue" and "Interest loss." Bridge symptoms connecting PTSD and depressive symptoms in our study were "Numb," "High alertness," "Sad mood," and "Compunction and blame," successively. The data-driven community detection suggested the differences in PTSD symptoms in the clustering process. The reliability of the network was approved by both stability and accuracy tests. Conclusion: To the best of our knowledge, the current study first demonstrated the network structure of PTSD and depressive symptoms among Chinese firefighters, identifying the central and bridge symptoms. Targeting interventions to the symptoms mentioned above may effectively treat firefighters suffering from PTSD and depressive symptoms.
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