National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, USA.
Department of Psychology, Emmanuel College, Boston, USA.
Psychol Med. 2023 Jun;53(8):3525-3532. doi: 10.1017/S0033291722000095. Epub 2022 Mar 28.
Network modeling has been applied in a range of trauma-exposed samples, yet results are limited by an over reliance on cross-sectional data. The current analyses used posttraumatic stress disorder (PTSD) symptom data collected over a 5-year period to estimate a more robust between-subject network and an associated symptom change network.
A PTSD symptom network is measured in a sample of military veterans across four time points (s = 1254, 1231, 1106, 925). The repeated measures permit isolating between-subject associations by limiting the effects of within-subject variability. The result is a highly reliable PTSD symptom network. A symptom slope network depicting covariation of symptom change over time is also estimated.
Negative trauma-related emotions had particularly strong associations with the network. Trauma-related amnesia, sleep disturbance, and self-destructive behavior had weaker overall associations with other PTSD symptoms.
PTSD's network structure appears stable over time. There is no single 'most important' node or node cluster. The relevance of self-destructive behavior, sleep disturbance, and trauma-related amnesia to the PTSD construct may deserve additional consideration.
网络建模已应用于一系列创伤暴露样本中,但由于过度依赖横断面数据,结果受到限制。目前的分析使用创伤后应激障碍(PTSD)症状数据在 5 年期间收集来估计更稳健的个体间网络和相关的症状变化网络。
在四个时间点(s = 1254、1231、1106、925)上,对一组退伍军人的 PTSD 症状进行了网络测量。重复测量通过限制个体内变异性的影响来分离个体间的关联。结果是一个高度可靠的 PTSD 症状网络。还估计了一个症状斜率网络,描绘了随时间变化的症状变化的共变。
与创伤相关的负面情绪与网络有特别强烈的关联。与其他 PTSD 症状相比,创伤相关遗忘、睡眠障碍和自我毁灭行为的整体关联较弱。
PTSD 的网络结构似乎随着时间的推移而稳定。没有一个“最重要”的节点或节点群。自我毁灭行为、睡眠障碍和与创伤相关的遗忘与 PTSD 结构的相关性可能值得进一步考虑。