Department of Psychology, University of California, Berkeley, Berkeley, California, USA.
J Trauma Stress. 2020 Feb;33(1):84-95. doi: 10.1002/jts.22491. Epub 2020 Feb 26.
Although the application of network theory to posttraumatic stress disorder (PTSD) has yielded promising insights, the lack of equivalence between inter- and intraindividual variation limits the generalizability of these findings to any one individual with PTSD. Instead, a better understanding of how PTSD symptoms occur and vary over time within an individual requires exploring the idiographic network structure of PTSD. To do so, the present study used an intensive repeated-measures design to estimate intraindividual networks of PTSD symptoms on a person-by-person basis. Participants were 20 individuals who met criteria for PTSD and completed daily surveys assessing PTSD symptoms; surveys were completed four times per day for approximately 30 days. Employing a recently validated method provided by Fisher, Reeves, Lawyer, Medaglia, and Rubel (2017), we used these data to estimate a contemporaneous and temporal network of PTSD symptoms for individuals on a person-by-person basis. We then calculated centrality metrics to determine the relative importance of each symptom in each idiographic network. Across all contemporaneous networks, negative trauma-related cognitions and emotions were most commonly the most central symptoms. Further, across all temporal networks, (a) negative trauma-related emotions were the most common driver of variation in other symptoms over time and (b) distressing trauma-related dreams and sleep disturbance were the most common downstream consequences of variation in other PTSD symptoms over time. We also reviewed data from two randomly selected participants to illustrate how this approach could be used to identify maintenance factors of PTSD for each individual and guide individual treatment planning.
尽管网络理论在创伤后应激障碍(PTSD)中的应用产生了有希望的见解,但个体间和个体内变异的缺乏等效性限制了这些发现对任何一个患有 PTSD 的个体的通用性。相反,要更好地理解 PTSD 症状如何在个体内部随时间发生和变化,需要探索 PTSD 的个体网络结构。为此,本研究使用密集的重复测量设计,逐人估计 PTSD 症状的个体内网络。参与者为 20 名符合 PTSD 标准并完成评估 PTSD 症状的每日调查的个体;每天完成四次调查,大约持续 30 天。本研究采用了 Fisher、Reeves、Lawyer、Medaglia 和 Rubel(2017)最近验证的方法,使用这些数据逐人估计 PTSD 症状的同时和时间网络。然后,我们计算了中心度指标,以确定每个症状在每个个体网络中的相对重要性。在所有同时网络中,与负面创伤相关的认知和情绪最常见且通常是最核心的症状。此外,在所有时间网络中,(a)负面创伤相关情绪是其他症状随时间变化的最常见驱动因素,(b)创伤相关的痛苦梦境和睡眠障碍是其他 PTSD 症状随时间变化的最常见下游后果。我们还审查了两名随机选择的参与者的数据,以说明如何使用这种方法来识别每个个体的 PTSD 维持因素,并指导个体治疗计划。