目的:自动神经心理学评估指标(ANAM)是一种计算机化的认知测试系统,广泛用于服兵役人员。这项研究的目的是开发具有全国代表性的陆军国民警卫队(ARNG)人员的规范性数据集,并探索ANAM绩效与选择兵役之间的潜在关系。人口统计学,和健康因素。
方法:使用标准化程序从美国六个州的ARNG服务成员的代表性样本中收集ANAM绩效数据。规范性能值,按年龄分层,性别,和军事职业类别,对每个ANAM子检验进行计算,并计算描述性度量,以及低于平均水平的基本业绩。人口统计的影响(例如,年龄,性别,教育,种族)和兵役和健康因素(例如,部署,工作类别,头部受伤的病史)进行了检查。
结果:分析了1,436名ARNG服务成员(14.3%为女性)的数据,和计算的标准值。总的来说,基于人口统计的ANAM表现差异,服兵役,健康因素很小。总共有8.9%的样本在两个或更多个子测试中的得分低于平均值≥1.3SD;使用更严格的切点(低于平均值≥2SD),该得分降至1.9%。
结论:本文报告的ANAM规范数据确保医疗保健提供者和研究人员能够获得更准确反映ARNG服务成员群体的参考数据。这些数据支持ARNG服务成员健康的评估和管理,以及涉及ARNG服务成员的未来ANAM研究。
OBJECTIVE: The Automated Neuropsychological Assessment Metrics (ANAM) is a computerized cognitive test system used extensively with military service members. The aim of this study was to develop a nationally representative normative dataset of Army National Guard (ARNG) personnel and to explore potential relationships between ANAM performances and select military service, demographic, and health factors.
METHODS: ANAM performance data were collected using standardized procedures from a representative sample of ARNG service members in six U.S. states. Normative performance values, stratified by age, sex, and military occupational category, were calculated for each ANAM subtest and descriptive measures were computed, along with base rates of below-average performance. The effect of demographic (e.g., age, sex, education, race) and military service and health factors (e.g., deployment, job category, history of head injury) was examined.
RESULTS: Data from 1,436 ARNG service members (14.3% female) were analyzed, and normative values calculated. Overall, differences in ANAM performance based on demographic, military service, and health factors were small. A total of 8.9% of the sample had scores on two or more subtests that were ≥ 1.3 SD below the mean; this dropped to 1.9% using a more stringent cut point (≥2 SD below the mean).
CONCLUSIONS: The ANAM normative data reported herein ensure that healthcare providers and researchers have access to reference data that more accurately reflect the larger population of ARNG service members. These data support the assessment and management of ARNG service members\' health, as well as future ANAM research involving ARNG service members.