Post-traumatic stress disorder and depressive symptoms among firefighters: a network analysis

被引:13
作者
Cheng, Peng [1 ,2 ]
Wang, Lirong [3 ]
Zhou, Ying [1 ,2 ]
Ma, Wenjing [1 ,2 ]
Zhao, Guangju [1 ,2 ]
Zhang, Li [1 ,2 ]
Li, Weihui [1 ,2 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Psychiat, Changsha, Hunan, Peoples R China
[2] Cent South Univ, Xiangya Hosp 2, Natl Clin Res Ctr Mental Disorders, Changsha, Hunan, Peoples R China
[3] Cent South Univ, Xiangya Hosp, Xiangya Sch Med, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
post-traumatic stress disorder; depression; network analysis; firefighter; mental health; MENTAL-HEALTH; PTSD SYMPTOMS; ALCOHOL-USE; COMORBIDITY;
D O I
10.3389/fpubh.2023.1096771
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundFirefighters, 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. MethodThe 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. ResultsA 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. ConclusionTo 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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页数:12
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