Cognitive failures, driving errors and driving accidents.
BACKGROUND
The impact of a driver's cognitive capability on traffic safety has not been adequately studied. This study examined the relationship between cognitive failures, driving errors and accident data.


METHODS
Professional drivers from Iran (160 males, ages 18-65) participated in this study. The cognitive failures questionnaire (CFQ) and the driver error questionnaire were administered. The participants were also asked other questions about personal driving information. A principal component analysis with varimax rotation was performed to determine the factor structure of the CFQ. Poisson regression models were developed to predict driving errors and accidents from total CFQ scores and the extracted factors.


RESULTS
Total CFQ scores were associated with driving error rates, but not with accidents. However, the 2 extracted factors suggested an increased effect on accidents and were strongly associated with driving errors.


CONCLUSIONS
Although the CFQ was not able to predict driving accidents, it could be used to identify drivers susceptible to driving errors. Further development of a driving-oriented cognitive failure scale is recommended to help identify error prone drivers. Such a scale may be beneficial to licensing authorities or for developing driver selection and training procedures for organizations.
Department of Occupational Health, School of Public Health, Medical Sciences/Tehran University, Iran.
Teimour
T
Allahyari
Gebraeil Nasl
GN
Saraji
Javad
J
Adl
Mostafa
M
Hosseini
Mahmood
M
Iravani
Masood
M
Younesian
Steven J
SJ
Kass
D000063:Accidents, Traffic / Q000523:psychology*; D000293:Adolescent; D000328:Adult; D000368:Aged; D001334:Automobile Driving; D003072:Cognition Disorders; D006801:Humans; D008297:Male; D008875:Middle Aged; D025341:Principal Component Analysis; D011569:Psychiatric Status Rating Scales