Fried Eiko I, Eidhof Marloes B, Palic Sabina, Costantini Giulio, Huisman-van Dijk Hilde M, Bockting Claudi L H, Engelhard Iris, Armour Cherie, Nielsen Anni B S, Karstoft Karen-Inge
Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Arq Psychotrauma Expert Group Diemen/Oegstgeest, The Netherlands.
Clin Psychol Sci. 2018 May;6(3):335-351. doi: 10.1177/2167702617745092. Epub 2018 Jan 5.
The growing literature conceptualizing mental disorders like posttraumatic stress disorder (PTSD) as networks of interacting symptoms faces three key challenges. Prior studies predominantly used (a) small samples with low power for precise estimation, (b) nonclinical samples, and (c) single samples. This renders network structures in clinical data, and the extent to which networks replicate across data sets, unknown. To overcome these limitations, the present cross-cultural multisite study estimated regularized partial correlation networks of 16 PTSD symptoms across four data sets of traumatized patients receiving treatment for PTSD (total = 2,782). Despite differences in culture, trauma type, and severity of the samples, considerable similarities emerged, with moderate to high correlations between symptom profiles (0.43-0.82), network structures (0.62-0.74), and centrality estimates (0.63-0.75). We discuss the importance of future replicability efforts to improve clinical psychological science and provide code, model output, and correlation matrices to make the results of this article fully reproducible.
将创伤后应激障碍(PTSD)等精神障碍概念化为相互作用症状网络的文献不断增加,面临着三个关键挑战。先前的研究主要使用:(a)样本量小、统计功效低,无法进行精确估计;(b)非临床样本;(c)单个样本。这使得临床数据中的网络结构以及网络在不同数据集之间的复制程度尚不清楚。为了克服这些局限性,本跨文化多地点研究估计了接受PTSD治疗的创伤患者的四个数据集中16种PTSD症状的正则化偏相关网络(总计 = 2782人)。尽管样本在文化、创伤类型和严重程度上存在差异,但仍出现了相当多的相似之处,症状概况(0.43 - 0.82)、网络结构(0.62 - 0.74)和中心性估计(0.63 - 0.75)之间存在中度到高度的相关性。我们讨论了未来可重复性研究对于改善临床心理科学的重要性,并提供代码、模型输出和相关矩阵,以使本文的结果完全可重复。