Automated Neuropsychological Assessment Metrics: Normative Reference Values for U. S. Army National Guard Soldiers

Area of Science:

• Neuroscience
• Military Psychology
• Cognitive Assessment

Background:

• The Automated Neuropsychological Assessment Metrics (ANAM) is a widely used computerized cognitive test system for military personnel.
• Establishing representative normative data is crucial for accurate interpretation of cognitive assessments in specific military populations.

Purpose of the Study:

• To develop a nationally representative normative dataset for Army National Guard (ARNG) personnel using the ANAM.
• To investigate the relationship between ANAM performance and demographic, military service, and health factors within the ARNG population.

Main Methods:

• Standardized ANAM data were collected from a representative sample of ARNG service members across six U.S. states.
• Normative values were calculated, stratified by age, sex, and military occupational specialty.
• The influence of demographic, military service, and health variables on ANAM performance was analyzed.

Main Results:

• Data from 1,436 ARNG service members were analyzed to establish normative values.
• Demographic, military service, and health factors exhibited minor effects on ANAM performance.
• Approximately 8.9% of the sample scored ≥1.3 standard deviations below the mean on two or more subtests, decreasing to 1.9% at ≥2 standard deviations below the mean.

Conclusions:

• The developed ANAM normative data provide essential reference points for healthcare providers and researchers assessing ARNG service members.
• These findings enhance the accurate assessment and management of ARNG personnel's cognitive health.
• The normative dataset supports future research utilizing ANAM within the ARNG population.