Predicting On-Road Driving Skills, Fitness to Drive, and Prospective Accident Risk in Older Drivers and Drivers with Mild Cognitive Impairment: The Importance of Non-Cognitive Risk Factors.

Fitness to drive The first step of our analysis ( Table 4 ) involving cognitive predictors ( Table 1 ) for fitness to drive (currently fit versus currently unfit to drive), allowed a marginally significant prediction of fitness to drive ( χ 2 = 6.40, p = 0.094) with an overall accuracy of 72.5% and with maze processing time as significant predictor ( p = 0.042).

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Occurrence of accidents The first step of our analysis ( Table 6 ) involving cognitive predictors ( Table 1 ) for the occurrence of self-reported minor at-fault accidents during the 12-month follow-up period (one or more accidents versus no accidents) did not reach statistical significance ( χ 2 = 2.36, p = 0.501).

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Prospective accident risk Number of accidents The first step of our analysis ( Table 5 ) involving cognitive predictors ( Table 1 ) for the number of self-reported minor at-fault accidents during the follow-up, failed to reach statistical significance ( F (3,56) =0.53, p = 0.666).

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