A neuropsychological instrument measuring age-related cerebral decline in older drivers: development, reliability, and validity of MedDrive.

When facing age-related cerebral decline, older adults are unequally affected by cognitive impairment without us knowing why. To explore underlying mechanisms and find possible solutions to maintain life-space mobility, there is a need for a standardized behavioral test that relates to behaviors in natural environments. The aim of the project described in this paper was therefore to provide a free, reliable, transparent, computer-based instrument capable of detecting age-related changes on visual processing and cortical functions for the purposes of research into human behavior in computational transportation science. After obtaining content validity, exploring psychometric properties of the developed tasks, we derived (Study 1) the scoring method for measuring cerebral decline on 106 older drivers aged ≥70 years attending a driving refresher course organized by the Swiss Automobile Association to test the instrument's validity against on-road driving performance (106 older drivers). We then validated the derived method on a new sample of 182 drivers (Study 2). We then measured the instrument's reliability having 17 healthy, young volunteers repeat all tests included in the instrument five times (Study 3) and explored the instrument's psychophysical underlying functions on 47 older drivers (Study 4). Finally, we tested the instrument's responsiveness to alcohol and effects on performance on a driving simulator in a randomized, double-blinded, placebo, crossover, dose-response, validation trial including 20 healthy, young volunteers (Study 5). The developed instrument revealed good psychometric properties related to processing speed. It was reliable (ICC = 0.853) and showed reasonable association to driving performance (R (2) = 0.053), and responded to blood alcohol concentrations of 0.5 g/L (p = 0.008). Our results suggest that MedDrive is capable of detecting age-related changes that affect processing speed. These changes nevertheless do not necessarily affect driving behavior

Driving performance and neurocognitive skills of long-term users of sedating antidepressants

Objective: To assess driving performance and neurocognitive skills of long‐term users of sedating antidepressants, in comparison to healthy controls. Methods: Thirty‐eight long‐term (>6 months) users of amitriptyline (n = 13) and mirtazapine (n = 25) were compared to 65 healthy controls. Driving performance was assessed using a 1‐h standardised highway driving test in actual traffic, with road‐tracking error (standard deviation of lateral position [SDLP]) being the primary measure. Secondary measures included neurocognitive tasks related to driving. Performance differences between groups were compared to those of blood alcohol concentrations of 0.5 mg/ml to determine clinical relevance. Results: Compared to controls, mean increase in SDLP of all antidepressant users was not significant, nor clinically relevant (+0.75 cm, 95% CI: - 0.83 cm; +2.33 cm). However, users treated less than 3 years (n = 20) did show a significant and clinically relevant increase in SDLP (+2.05 cm). No significant effects were observed on neurocognitive tasks for any user group, although large individual differences were present. Most results from neurocognitive tests were inconclusive, while a few parameters confirmed non‐inferiority for users treated longer than 3 years. Conclusion: The impairing effects of antidepressant treatment on driving performance and neurocognition mitigate over time following long‐term use of 3 years

An explorative approach to understanding individual differences in driving performance and neurocognition in long-term benzodiazepine users

Objective: Previous research reported cognitive and psychomotor impairments in long‐term users of benzodiazepine receptor agonists (BZRAs). This article explores the role of acute intoxication and clinical complaints. Methods: Neurocognitive and on‐road driving performance of 19 long‐term (≥6 months) regular (≥twice weekly) BZRA users with estimated plasma concentrations, based on self‐reported use, exceeding the therapeutic threshold (CBZRA+), and 31 long‐term regular BZRA users below (CBZRA−), was compared to that of 76 controls. Results: BZRA users performed worse on tasks of response speed, processing speed, and sustained attention. Age, but not CBZRA or self‐reported clinical complaints, was a significant covariate. Road‐tracking performance was explained by CBZRA only. The CBZRA + group exhibited increased mean standard deviation of lateral position comparable to that at blood‐alcohol concentrations of 0.5 g/L. Conclusions: Functional impairments in long‐term BZRA users are not attributable to self‐reported clinical complaints or estimated BZRA concentrations, except for road‐tracking, which was impaired in CBZRA + users. Limitations to address are the lack of assessment of objective clinical complaints, acute task related stress, and actual BZRA plasma concentrations. In conclusion, the results confirm previous findings that demonstrate inferior performance across several psychomotor and neurocognitive domains in long‐term BZRA users

Acceptability of connected automated vehicles:Attributes, perceived behavioural control, and perceived adoption norm

Connected Automated Vehicles (CAVs) could be dominating the roads in the near future. CAVs are fully automated vehicles equipped to communicate and share data with other devices both inside and outside the vehicles, and can increase traffic safety and decrease greenhouse emissions from traffic, as they can ensure a more efficient traffic flow and reduce traffic jams. However, CAVs can only achieve this potential when they are accepted and widely adopted by the public. In this paper, we propose a model to explain the acceptability (i.e. evaluation before experience) of CAVs. We hypothesize that the acceptability of CAVs is higher when people evaluate its attributes more favourably, feel more able to use CAVs (i.e. higher perceived behavioural control), and think close others would consider adopting CAVs (i.e. the perceived adoption norm). We identified seven key attributes that could be important for the acceptability of CAVs, namely: safety, instrumental, hedonic, control, symbolic, environmental, and trustworthiness attributes. Results from a large-scale online questionnaire (N = 3783) showed that the proposed model explains acceptability well. Together, the evaluation of attributes of CAVs, perceived behavioural control, and perceived adoption norm explained 60 % of variance in acceptability. Positive evaluations of attributes were the strongest predictor of acceptability of CAVs, in particular safety, instrumental, and environmental attributes. Interestingly, we found that symbolic attributes predict acceptability better when the perceived adoption norm is low. The results suggest the acceptability of CAVs may be enhanced by improving the evaluations of its key attributes and by introducing it as a status product in the early adoption phase.</p

Everyday risk taking as a function of regulatory focus

Uncertainty is an inherent aspect of everyday life. However, faced with uncertainty, some individuals take risks more eagerly than others. Regulatory focus theory may explain such differences because risky behavior may arise naturally from the eagerness of promotion focused individuals, while safe behavior may arise naturally from the vigilance of prevention focused individuals. A highly relevant real-life context for studying risk is mobility, as engaging in traffic inherently carries uncertainty about negative outcomes. We present two studies showing a direct link between regulatory focus and risky behavior going beyond traditional laboratory approaches. In both naturalistic speeding behavior (Study 1) and simulated risk taking (Study 2) promotion focus was positively, and prevention focus was negatively related to actual risky behavior. (C) 2010 Elsevier Inc. All rights reserved