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Objectives Many older drivers incorrectly estimate their driving ability. The present study aimed to determine whether, and if so, to what extent unawareness of cognitive abilities affects self-awareness of driving ability. Method Two successive studies were conducted in older drivers. A cohort study investigated cognitive self-awareness and an experimental study examined driving self-awareness. In each one, self-awareness was assessed by cross-analyzing objective (respectively Trail-Making Tests A and B and the Digit Symbol Substitution Test and driving performance of on-road assessment) and subjective data (responses about everyday cognitive skills and driving ability). Older drivers were then classified as being over-, correct, or underestimators. The 3 cognitive and driving self-awareness profiles were then cross-analyzed. Results In the cohort study, 1,190 drivers aged 70 years or older were included. The results showed that 42.7% of older drivers overestimated their cognitive ability, 42.2% estimated it correctly, and 15.1% underestimated it. The experimental study included 145 participants from the cohort. The results showed that 34% of participants overestimated, 45% correctly estimated, and 21% underestimated their driving ability. There was a significant relationship between cognitive and driving self-awareness profiles (p =.02). This overlap was more marked in overestimators. Discussion Significant overlap between cognitive and driving self-awareness provides useful and new knowledge about driving in the aging population. Misestimation of cognitive ability could hamper self-awareness of driving ability, and consequently self-regulation of driving. It is now crucial to develop measures that promote self-awareness of ability. [ABSTRACT FROM AUTHOR]

Background/Aims: (1) To investigate how specific executive functions change over 2 years in drivers with Parkinson's disease (PD) compared to controls, using both neuropsychological and driving simulator tasks; and (2) to explore the association between the decline of specific executive functions and changes in driving habits in PD. Methods: Sixteen PD patients and 21 controls underwent neuropsychological testing twice and performed tasks on a driving simulator, with an interval of approximately 2 years. Questions on participants' self-perception of their driving ability were administered. Results: A significant decline was observed in shift cost over time (Plus Minus Test) in patients (p = 0.008). This decline was greater in patients than in controls (p = 0.008). No significant change emerged over time in the flexibility cost of PD patients on a simulator (p = 0.158). Significant correlations were found between the decline in shift cost over time and driving question outcomes (p < 0.05). Conclusion: This study reveals a differential course of executive functions in PD. Over time, patients displayed significant decline in flexibility associated with modifications in their driving. Flexibility seems to be affected as the disease progresses. This research opens new avenues in cognitive and driving rehabilitation. [ABSTRACT FROM AUTHOR]

Alterations in cognitive functions in Parkinson's disease (PD) have been reported even in mild stages of the disease. These functions may play a role in complex daily activities, such as driving. This article provides an overview on the relationships between cognitive functions and driving behavior in PD in driving simulator and on-road studies. The role of attention, executive functions, visual memory, visuospatial construction and information processing speed is discussed. In driving simulator studies, driving performances were correlated with several neuropsychological measures, especially those of Trail Making Test (TMT), Brixton and Symbol Digit Modalities Test. In on-road studies, TMT, Useful Field Of View and Block Design tests appear as good predictors of driving performances. Most of these tests are also relevant to driving in Alzheimer's disease and traumatic brain injury. Copyright © 2012 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Highlights: [•] We examined the effect of three mood states on the localization of road elements. [•] Anger slowed down the localization times. [•] Sadness increased the error rate. [Copyright &y& Elsevier]