A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse.

A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse.
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DOI:
10.1080/20008198.2017.1341276
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发表时间:
2017
影响因子:
5
通讯作者:
Robinaugh DJ
Robinaugh DJ
中科院分区:
医学2区
文献类型:
--
作者:
McNally RJ;Heeren A;Robinaugh DJ

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背景:精神障碍的网络方法为将创伤后应激障碍(PTSD)概念化为相互作用症状的因果系统提供了一个新的框架。目的:在本研究中,我们通过评估报告童年性虐待个人史的成人PTSD症状之间的关系结构(CSA; N = 179)来扩展这项工作。方法:采用两种互补方法。首先,使用图形LASSO,我们计算了一个稀疏的、正则化的部分相关网络,揭示了创伤后应激障碍症状对(节点)之间的关联(边)。接下来,使用贝叶斯方法,我们计算了一个有向无环图(DAG)来估计症状之间关系的有向,潜在因果模型。结果:对于第一个网络,我们发现对创伤提醒的生理反应,关于创伤的梦,以及对以前喜欢的活动失去兴趣是高度中心节点。然而,稳定性分析表明,这些发现在我们的样本子集中是不稳定的。DAG表明,对创伤的提醒产生生理反应和不安可能是CSA成年幸存者其他症状的关键驱动因素。结论:我们的研究说明了这些网络分析方法的优势和局限性。
Background: The network approach to mental disorders offers a novel framework for conceptualizing posttraumatic stress disorder (PTSD) as a causal system of interacting symptoms. Objective: In this study, we extended this work by estimating the structure of relations among PTSD symptoms in adults reporting personal histories of childhood sexual abuse (CSA; N = 179).   Method: We employed two complementary methods. First, using the graphical LASSO, we computed a sparse, regularized partial correlation network revealing associations (edges) between pairs of PTSD symptoms (nodes). Next, using a Bayesian approach, we computed a directed acyclic graph (DAG) to estimate a directed, potentially causal model of the relations among symptoms. Results: For the first network, we found that physiological reactivity to reminders of trauma, dreams about the trauma, and lost of interest in previously enjoyed activities were highly central nodes. However, stability analyses suggest that these findings were unstable across subsets of our sample. The DAG suggests that becoming physiologically reactive and upset in response to reminders of the trauma may be key drivers of other symptoms in adult survivors of CSA. Conclusions: Our study illustrates the strengths and limitations of these network analytic approaches to PTSD.
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