Psychology Research Institute, Coleraine Campus, University of Ulster, Coleraine, Northern Ireland, BT52 1SA, UK.
Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.
J Anxiety Disord. 2017 Jan;45:49-59. doi: 10.1016/j.janxdis.2016.11.008. Epub 2016 Nov 27.
Recent developments in psychometrics enable the application of network models to analyze psychological disorders, such as PTSD. Instead of understanding symptoms as indicators of an underlying common cause, this approach suggests symptoms co-occur in syndromes due to causal interactions. The current study has two goals: (1) examine the network structure among the 20 DSM-5 PTSD symptoms, and (2) incorporate clinically relevant variables to the network to investigate whether PTSD symptoms exhibit differential relationships with suicidal ideation, depression, anxiety, physical functioning/quality of life (QoL), mental functioning/QoL, age, and sex.
We utilized a nationally representative U.S. military veteran's sample; and analyzed the data from a subsample of 221 veterans who reported clinically significant DSM-5 PTSD symptoms. Networks were estimated using state-of-the-art regularized partial correlation models. Data and code are published along with the paper.
The 20-item DSM-5 PTSD network revealed that symptoms were positively connected within the network. Especially strong connections emerged between nightmares and flashbacks; blame of self or others and negative trauma-related emotions, detachment and restricted affect; and hypervigilance and exaggerated startle response. The most central symptoms were negative trauma-related emotions, flashbacks, detachment, and physiological cue reactivity. Incorporation of clinically relevant covariates into the network revealed paths between self-destructive behavior and suicidal ideation; concentration difficulties and anxiety, depression, and mental QoL; and depression and restricted affect.
These results demonstrate the utility of a network approach in modeling the structure of DSM-5 PTSD symptoms, and suggest differential associations between specific DSM-5 PTSD symptoms and clinical outcomes in trauma survivors. Implications of these results for informing the assessment and treatment of this disorder, are discussed.
心理计量学的最新发展使得可以应用网络模型来分析心理障碍,例如 PTSD。这种方法不是将症状理解为潜在共同原因的指标,而是认为由于因果相互作用,症状共同出现在综合征中。本研究有两个目标:(1)检查 DSM-5 PTSD 症状的 20 个网络结构,(2)将临床相关变量纳入网络,以调查 PTSD 症状是否与自杀意念、抑郁、焦虑、身体功能/生活质量(QoL)、心理功能/QoL、年龄和性别表现出不同的关系。
我们利用了一个具有全国代表性的美国退伍军人样本;并分析了报告有临床显著 DSM-5 PTSD 症状的 221 名退伍军人的子样本中的数据。使用最先进的正则化部分相关模型来估计网络。数据和代码与论文一起发布。
20 项 DSM-5 PTSD 网络显示症状在网络内呈正相关。特别是在噩梦和闪回之间出现了强烈的连接;自责或他人指责与消极的创伤相关情绪、疏离和受限的情感、以及过度警觉和夸张的惊吓反应。最核心的症状是消极的创伤相关情绪、闪回、疏离和生理线索反应。将临床相关协变量纳入网络后,发现了自毁行为与自杀意念之间的关系;注意力集中困难与焦虑、抑郁和心理 QoL;以及抑郁与受限的情感之间的关系。
这些结果表明,网络方法在建模 DSM-5 PTSD 症状结构方面具有实用性,并表明特定的 DSM-5 PTSD 症状与创伤幸存者的临床结局之间存在不同的关联。讨论了这些结果对该疾病的评估和治疗的启示。