Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
The Xiangya Hospital of Central South University, Changsha 410008, Hunan, China.
J Affect Disord. 2024 Jun 15;355:73-81. doi: 10.1016/j.jad.2024.03.125. Epub 2024 Mar 27.
Previous research has largely lacked studies that explore the trajectories of Posttraumatic stress symptoms (PTSS) and the structure of comorbid psychiatric symptom networks following traumatic event, while controlling for the severity of traumatic exposure. The present study aims to explore the characteristic trajectories of PTSS, in the context of ensuring controlled levels of traumatic exposure. Furthermore, the PTSS, depressive, and anxiety comorbid symptom networks of different PTSS trajectory subgroups are also investigated.
A total of 296 frontline rescue personnel were enrolled into our study. In an effort to control for variations in traumatic exposure severity, this study ensured that all participants had same responsibilities and cumulative operational duration at the post-disaster rescue circumstance. Growth mixture models (GMMs) were employed to scrutinize the trajectories of PTSS. Additionally, network analysis was used to examine the comorbid symptom network of PTSS, depression, and anxiety.
Four distinct PTSS trajectories were identified, namely Persisting Symptom, Gradual Recovery, Gradual Aggravation, and Asymptomatic. Although both the Persisting Symptom and Gradual Aggravation groups belong to the high-risk subgroups for persistent PTSS, they exhibit differences in core symptoms within their respective networks. The core symptom for the Persisting Symptom Network is flashbacks, while for the Gradual Aggravation Network, it is sleep disturbances.
To the best of our knowledge, the present study represents the first research endeavor to integrate longitudinal trajectory analysis of PTSS with longitudinal symptom network analysis, clarifying the evolving features of PTSS but also offering valuable insights for early screening and intervention strategies.
先前的研究在很大程度上缺乏探索创伤后应激症状(PTSS)轨迹和合并精神症状网络结构的研究,而这些研究都控制了创伤暴露的严重程度。本研究旨在探索在控制创伤暴露水平的情况下,PTSS 的特征轨迹。此外,还研究了不同 PTSS 轨迹亚组的 PTSS、抑郁和焦虑合并症状网络。
共有 296 名一线救援人员参与了我们的研究。为了控制创伤暴露严重程度的变化,本研究确保所有参与者在灾后救援环境中具有相同的责任和累计操作时间。采用增长混合模型(GMM)来仔细研究 PTSS 的轨迹。此外,还使用网络分析来检查 PTSS、抑郁和焦虑的合并症状网络。
确定了四个不同的 PTSS 轨迹,即持续症状、逐渐恢复、逐渐加重和无症状。尽管持续症状和逐渐加重组都属于持续 PTSS 的高风险亚组,但它们在各自的网络中存在不同的核心症状。持续症状网络的核心症状是闪回,而逐渐加重网络的核心症状是睡眠障碍。
据我们所知,本研究首次将 PTSS 的纵向轨迹分析与纵向症状网络分析相结合,阐明了 PTSS 的演变特征,并为早期筛查和干预策略提供了有价值的见解。