Yuan Huiling, Ren Lei, Ma Zhujing, Li Fengzhan, Liu Jianjun, Jin Yinchuan, Chen Chen, Li Xiao, Wu Zhongying, Cheng Sizhe, Song Lei, Wang Chaoxian, Liu Xufeng, Yang Qun
Department of Military Medical Psychology, Air Force Medical University, 710032 Xi'an, China.
Tenth Policlinic, Air Force 986 Hospital, 710054 Xi'an, China.
Asian J Psychiatr. 2022 Jun;72:103062. doi: 10.1016/j.ajp.2022.103062. Epub 2022 Mar 12.
The network perspective of mental disorder offers a novel way of understanding the psychopathology of post-traumatic stress disorder (PTSD). In this framework, PTSD may arise from direct interactions between its symptoms. In the present study, we used the Post-Traumatic Stress Disorder Checklist-civilian Version (PCL-C) to investigate the network structure of PTSD symptoms in 994 Chinese male firefighters. We also calculated the micro (i.e., edges weight and node expected influence) and middle (i.e., community) indicators of the final network. Nine strongest edges existed in the final network were from the same dimension of PCL-C, like "avoidance of thoughts" and "avoidance of reminders". Symptoms "emotional reactivity", "avoidance of reminders" and "exaggerated startle response" had the highest expected influence. As for the results of community detection, the spinglass and walktrap algorithm detected the same three communities which are slightly different from the original dimensions of PCL-C (i.e., symptoms "avoidance of thoughts", "avoidance of reminders" and "trauma-related amnesia" of avoidance dimension of PCL-C were added to the intrusion dimension of PCL-C). The present study explored the network structure of PTSD symptoms in Chinese male firefighters and provided several implications for clinical prevention and intervention to address the mental health needs in this special group.
精神障碍的网络视角为理解创伤后应激障碍（PTSD）的精神病理学提供了一种全新的方式。在此框架下，PTSD可能源于其症状之间的直接相互作用。在本研究中，我们使用创伤后应激障碍检查表-民用版（PCL-C）来调查994名中国男性消防员中PTSD症状的网络结构。我们还计算了最终网络的微观指标（即边权重和节点预期影响）和中观指标（即社区）。最终网络中存在的九条最强边来自PCL-C的同一维度，如“回避想法”和“回避提示物”。症状“情绪反应性”“回避提示物”和“夸张的惊吓反应”具有最高的预期影响。至于社区检测结果，自旋玻璃算法和随机游走算法检测到相同的三个社区，这与PCL-C的原始维度略有不同（即PCL-C回避维度的症状“回避想法”“回避提示物”和“创伤相关失忆”被添加到PCL-C的闯入维度）。本研究探讨了中国男性消防员中PTSD症状的网络结构，并为满足这一特殊群体的心理健康需求提供了一些临床预防和干预方面的启示。
