O'Connor Kathryn L, Dain Allred C, Cameron Kenneth L, Campbell Darren E, D'Lauro Christopher J, Houston Megan N, Johnson Brian R, Kelly Tim F, McGinty Gerald, O'Donnell Patrick G, Peck Karen Y, Svoboda Steven J, Pasquina Paul, McAllister Thomas, McCrea Michael, Broglio Steven P
NeuroTrauma Research Laboratory, University of Michigan, 401 Washtenaw Ave, Ann Arbor, MI.
United States Air Force Academy, 2355 Faculty Drive, Suite 1N207, USAFA, CO.
Mil Med. 2018 Nov 1;183(11-12):e580-e590. doi: 10.1093/milmed/usx130.
The prevalence and possible long-term consequences of concussion remain an increasing concern to the U.S. military, particularly as it pertains to maintaining a medically ready force. Baseline testing is being used both in the civilian and military domains to assess concussion injury and recovery. Accurate interpretation of these baseline assessments requires one to consider other influencing factors not related to concussion. To date, there is limited understanding, especially within the military, of what factors influence normative test performance. Given the significant physical and mental demands placed on service academy members (SAM), and their relatively high risk for concussion, it is important to describe demographics and normative profile of SAMs. Furthermore, the absence of available baseline normative data on female and non-varsity SAMs makes interpretation of post-injury assessments challenging. Understanding how individuals perform at baseline, given their unique individual characteristics (e.g., concussion history, sex, competition level), will inform post-concussion assessment and management. Thus, the primary aim of this manuscript is to characterize the SAM population and determine normative values on a concussion baseline testing battery.
All data were collected as part of the Concussion Assessment, Research and Education (CARE) Consortium. The baseline test battery included a post-concussion symptom checklist (Sport Concussion Assessment Tool (SCAT), psychological health screening inventory (Brief Symptom Inventory (BSI-18) and neurocognitive evaluation (ImPACT), Balance Error Scoring System (BESS), and Standardized Assessment of Concussion (SAC). Linear regression models were used to examine differences across sexes, competition levels, and varsity contact levels while controlling for academy, freshman status, race, and previous concussion. Zero inflated negative binomial models estimated symptom scores due to the high frequency of zero scores.
Significant, but small, sex effects were observed on the ImPACT visual memory task. While, females performed worse than males (p < 0.0001, pη2 = 0.01), these differences were small and not larger than the effects of the covariates. A similar pattern was observed for competition level on the SAC. There was a small, but significant difference across competition level. SAMs participating in varsity athletics did significantly worse on the SAC compared to SAMs participating in club or intramural athletics (all p's < 0.001, η2 = 0.01). When examining symptom reporting, males were more than two times as likely to report zero symptoms on the SCAT or BSI-18. Intramural SAMs had the highest number of symptoms and severity compared to varsity SAMs (p < 0.0001, Cohen's d < 0.2). Contact level was not associated with SCAT or BSI-18 symptoms among varsity SAMs. Notably, the significant differences across competition level on SCAT and BSI-18 were sub-clinical and had small effect sizes.
The current analyses provide the first baseline concussion battery normative data among SAMs. While statistically significant differences may be observed on baseline tests, the effect sizes for competition and contact levels are very small, indicating that differences are likely not clinically meaningful at baseline. Identifying baseline differences and significant covariates is important for future concussion-related analyses to inform concussion evaluations for all athlete levels.
脑震荡的患病率及其可能产生的长期后果一直是美国军方日益关注的问题,尤其是在维持一支具备医疗准备状态的部队方面。基线测试在民用和军事领域都被用于评估脑震荡损伤及恢复情况。准确解读这些基线评估需要考虑与脑震荡无关的其他影响因素。迄今为止,人们对影响正常测试表现的因素了解有限,尤其是在军方内部。鉴于军校学员面临的巨大身心需求以及他们相对较高的脑震荡风险,描述军校学员的人口统计学特征和正常概况非常重要。此外,缺乏关于女性和非校队军校学员的可用基线规范数据使得损伤后评估的解读具有挑战性。了解个体在基线时的表现,考虑到他们独特的个体特征(如脑震荡病史、性别、比赛水平),将为脑震荡后的评估和管理提供参考。因此,本手稿的主要目的是描述军校学员群体特征,并确定脑震荡基线测试组合的规范值。
所有数据均作为脑震荡评估、研究与教育(CARE)联盟的一部分收集。基线测试组合包括脑震荡后症状清单(运动脑震荡评估工具(SCAT))、心理健康筛查量表(简明症状量表(BSI - 18))、神经认知评估(ImPACT)、平衡误差评分系统(BESS)以及标准化脑震荡评估(SAC)。使用线性回归模型来检验性别、比赛水平和校队接触水平之间的差异,同时控制军校、新生身份、种族和既往脑震荡情况。由于零分频率较高,使用零膨胀负二项模型估计症状得分。
在ImPACT视觉记忆任务中观察到显著但较小的性别效应。虽然女性表现比男性差(p < 0.0001,pη2 = 0.01),但这些差异很小,且不大于协变量的影响。在SAC上的比赛水平也观察到类似模式。比赛水平之间存在小但显著的差异。与参加俱乐部或校内体育活动的军校学员相比,参加校队体育活动的军校学员在SAC上的表现明显更差(所有p值 < 0.001,η2 = 0.01)。在检查症状报告时,男性在SCAT或BSI - 18上报告零症状的可能性是女性的两倍多。与校队军校学员相比,校内军校学员的症状数量和严重程度最高(p < 0.0001,Cohen's d < 0.2)。在校队军校学员中,接触水平与SCAT或BSI - 18症状无关。值得注意的是,SCAT和BSI - 18上比赛水平之间的显著差异是亚临床的,且效应量很小。
当前分析提供了军校学员中首个脑震荡基线测试组合的规范数据。虽然在基线测试中可能观察到统计学上的显著差异,但比赛和接触水平的效应量非常小,表明这些差异在基线时可能没有临床意义。识别基线差异和显著协变量对于未来与脑震荡相关的分析很重要,可为所有运动员水平的脑震荡评估提供参考。