Iowa State University, Ames.
Stanford University School of Medicine, Stanford, CA.
J Am Acad Child Adolesc Psychiatry. 2017 Aug;56(8):669-677.e5. doi: 10.1016/j.jaac.2017.05.021. Epub 2017 Jun 10.
To evaluate current theoretical assumptions about the nature of pediatric posttraumatic stress disorder (PTSD) by examining the network structure of PTSD in a sample of youth exposed to disasters and testing for age differences. Network analysis provides the opportunity to identify "central" symptoms that might hold an outsized influence over others and are important targets for research and treatment. The authors hypothesized that particular symptoms would exhibit greater influence over others. They further hypothesized marked differences in symptom networks across children and adolescents.
Participants were 786 youth 8 to 13 years old (children) and 14 to 18 years old (adolescents) exposed to Hurricanes Katrina and Gustav who were assessed for PTSD symptoms using the University of California-Los Angeles PTSD Reaction Index for Children. Network models were computed and constructed using the R-package qgraph, which estimates associations between symptoms and forms graphic network models.
Consistent with the hypotheses, the symptom network demonstrated meaningful variability across age, particularly in the strength of associations, and the relative importance of individual symptoms to the network as a whole. Results further demonstrated that symptoms cluster together in a manner that adds a unique perspective to current model conceptualizations.
Network analysis is a potentially important additional conceptualization of psychopathology with related data analytic techniques. Results suggest that PTSD can be characterized as a web of interactions between symptoms. This work illuminates differences in the PTSD symptom network across development, such as the link between numbness of negative affect and amnesia in children, but not in teens, and how the critical symptoms within that network differ across childhood and adolescence. Network analysis could allow the re-envisioning of the nature of this complex disorder with new avenues for research and clinical practice.
通过考察经历灾害的青少年样本中 PTSD 的网络结构,并检验年龄差异,评估当前关于儿科创伤后应激障碍(PTSD)性质的理论假设。网络分析提供了一个机会,可以识别出对其他症状具有较大影响的“核心”症状,这些症状是研究和治疗的重要目标。作者假设某些症状会对其他症状产生更大的影响。他们进一步假设儿童和青少年的症状网络存在显著差异。
参与者为 786 名 8 至 13 岁(儿童)和 14 至 18 岁(青少年)的青少年,他们在遭受卡特里娜飓风和古斯塔夫飓风袭击后,使用加州大学洛杉矶分校 PTSD 反应指数儿童评估 PTSD 症状。使用 R 包 qgraph 计算和构建网络模型,该模型估计症状之间的关联,并形成图形网络模型。
与假设一致,症状网络在年龄上表现出有意义的可变性,特别是在关联的强度和单个症状对整个网络的相对重要性方面。结果进一步表明,症状以一种独特的方式聚类,为当前的模型概念化增添了一个独特的视角。
网络分析是一种潜在的重要的心理病理学概念化方法,具有相关的数据分析技术。结果表明,PTSD 可以被描述为症状之间相互作用的网络。这项工作阐明了 PTSD 症状网络在发展过程中的差异,例如儿童的麻木感和健忘症之间的联系,但在青少年中没有,以及该网络中关键症状在儿童和青少年之间的差异。网络分析可以重新构想这种复杂疾病的性质,为研究和临床实践开辟新途径。