Samuelson Kristin W, Newman Jennifer, Abu Amara Duna, Qian Meng, Li Meng, Schultebraucks Katharina, Purchia Emily, Genfi Afia, Laska Eugene, Siegel Carole, Hammamieh Rasha, Gautam Aarti, Jett Marti, Marmar Charles R
Department of Psychology, University of Colorado at Colorado Springs.
Steven and Alexandra Cohen Veterans Center for the Study of Posttraumatic Stress and Traumatic Brain Injury, Department of Psychiatry, New York University School of Medicine.
Neuropsychology. 2020 Mar;34(3):276-287. doi: 10.1037/neu0000603. Epub 2019 Dec 2.
The Fort Campbell Cohort study was designed to assess predeployment biological and behavioral markers and build predictive models to identify risk and resilience for posttraumatic stress disorder (PTSD) following deployment. This article addresses neurocognitive functioning variables as potential prospective predictors.
In a sample of 403 soldiers, we examined whether PTSD symptom severity (using the PTSD Checklist) as well as posttraumatic stress trajectories could be prospectively predicted by measures of executive functioning (using two web-based tasks from WebNeuro) assessed predeployment.
Controlling for age, gender, education, prior number of deployments, childhood trauma exposure, and PTSD symptom severity at Phase 1, linear regression models revealed that predeployment sustained attention and inhibitory control performance were significantly associated with postdeployment PTSD symptom severity. We also identified two posttraumatic stress trajectories utilizing latent growth mixture models. The "resilient" group consisted of 90.9% of the soldiers who exhibited stable low levels of PTSD symptoms from pre- to postdeployment. The "increasing" group consisted of 9.1% of the soldiers, who exhibited an increase in PTSD symptoms following deployment, crossing a threshold for diagnosis based on PTSD Checklist scores. Logistic regression models predicting trajectory revealed a similar pattern of findings as the linear regression models, in which predeployment sustained attention (95% CI of odds ratio: 1.0109, 1.0558) and inhibitory control (95% CI: 1.0011, 1.0074) performance were significantly associated with postdeployment PTSD trajectory.
These findings have clinical implications for understanding the pathogenesis of PTSD and building preventative programs for military personnel. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
坎贝尔堡队列研究旨在评估部署前的生物学和行为标志物,并建立预测模型,以识别部署后创伤后应激障碍(PTSD)的风险和恢复力。本文探讨神经认知功能变量作为潜在的前瞻性预测指标。
在403名士兵的样本中,我们研究了部署前通过执行功能测量(使用来自WebNeuro的两项基于网络的任务)能否前瞻性地预测PTSD症状严重程度(使用PTSD检查表)以及创伤后应激轨迹。
在控制年龄、性别、教育程度、先前部署次数、童年创伤暴露以及第一阶段的PTSD症状严重程度后,线性回归模型显示,部署前的持续注意力和抑制控制表现与部署后的PTSD症状严重程度显著相关。我们还使用潜在增长混合模型确定了两条创伤后应激轨迹。“恢复力强”组由90.9%的士兵组成,他们从部署前到部署后表现出稳定的低水平PTSD症状。“症状增加”组由9.1%的士兵组成,他们在部署后PTSD症状有所增加,根据PTSD检查表得分超过了诊断阈值。预测轨迹的逻辑回归模型显示出与线性回归模型相似的结果模式,即部署前的持续注意力(优势比的95%置信区间:1.0109,1.0558)和抑制控制(95%置信区间:1.0011,1.0074)表现与部署后的PTSD轨迹显著相关。
这些发现对理解PTSD的发病机制和为军事人员建立预防计划具有临床意义。(PsycINFO数据库记录(c)2020美国心理学会,保留所有权利)