Relationship of CogScreen-AE to flight simulator performance and pilot age

摘要: Objectives: We report on the relationship between CogScreen-Aeromedical Edition (AE) factor scores and flight simulator performance in aircraft pilots aged 50-69. Methods: Some 100 licensed, civilian aviators (average age 58 ± 5.3 yr) performed aviation tasks a Frasca model 141 CogScreen-AE battery. The indices were: a) staying course; b) dialing communication frequencies; c) avoiding conflicting traffic; d) monitoring cockpit instruments; e) executing approach; f) summary score, which was mean of these scores. CogScreen predictors were based structure reported by Kay (11), comprised 28 Through principal components analysis Kay's nine factors, we reduced number to five composite scores: Speed/Working Memory (WM), Visual Associative Memory, Motor Coordination, Tracking, Attribute Identification. Results: Speed/WM had highest correlation with Spearman Rrho = 0.57. A stepwise-forward multiple regression indicated that four variables could explain 45% variance Significant predictors, order entry, Speed/WM, Tracking (p < 0.05). Pilot found significantly improve prediction beyond be predicted cognitive variables. In addition, there some evidence for specific ability relationships certain component scores, such as approach tracking errors. Conclusions: These data support validity battery taps skills relevant piloting.