Haran F J, Schumacher Patrick, Markwald Rachel, Handy Justin D, Tsao Jack W
Naval Medical Research Center, Silver Spring, MD, United States.
Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Front Neurol. 2019 Jun 27;10:674. doi: 10.3389/fneur.2019.00674. eCollection 2019.
Neurocognitive computerized assessment tools (NCATs) were developed to assist military clinicians with the tracking of recovery from injury and return to full duty decisions with a recent focus on the setting of post-concussion evaluations. However, there is limited data on the impact of deployment on neurocognitive functioning, sleepiness, and mood in healthy, non-concussed Service members. Automated Neuropsychological Assessment Metrics version 4 TBI Military (ANAM) data was obtained for a sample of active duty deployed personnel ( = 72) without recent history of mild traumatic brain injury (mTBI). A linear regression was conducted to examine the effects of sleepiness and mood state on neurocognitive performance. The overall multivariate regression was statistically significant. Negative mood states were the most salient predictors of neurocognitive performance with higher levels of endorsement associated with lower scores. The findings support measures of negative mood state, but not sleepiness, as relevant predictors of neurocognitive performance as measured by the ANAM. These results indicate that mood needs to be considered when reviewing neurocognitive data to ensure that appropriate clinical decisions are made; in particular for return-to-duty decisions in deployed settings after concussion recovery.
神经认知计算机化评估工具（NCATs）的开发旨在帮助军事临床医生跟踪受伤后的恢复情况，并做出重返全职工作的决定，近期重点关注脑震荡后评估的设定。然而，关于部署对健康、未患脑震荡的军人神经认知功能、嗜睡和情绪的影响的数据有限。我们获取了自动化神经心理评估指标第4版创伤性脑损伤军事版（ANAM）的数据，样本为72名无轻度创伤性脑损伤（mTBI）近期病史的现役部署人员。进行了线性回归分析，以检验嗜睡和情绪状态对神经认知表现的影响。总体多元回归具有统计学意义。消极情绪状态是神经认知表现最显著的预测因素，认可度越高，得分越低。研究结果支持消极情绪状态指标，而非嗜睡指标，可作为ANAM所测量的神经认知表现的相关预测因素。这些结果表明，在审查神经认知数据时需要考虑情绪，以确保做出适当的临床决策；特别是在脑震荡恢复后部署环境中做出重返工作岗位的决策时。
