Simulator Measures and Identification of Older Drivers With Mild Cognitive Impairment

2016 ◽  
Vol 70 (2) ◽  
pp. 7002270030p1 ◽  
Author(s):  
Sophia Vardaki ◽  
Anne E. Dickerson ◽  
Ion Beratis ◽  
George Yannis ◽  
Sokratis G. Papageorgiou

2021 ◽  
Vol 79 (1) ◽  
pp. 401-414
Author(s):  
Max Toepper ◽  
Philipp Schulz ◽  
Thomas Beblo ◽  
Martin Driessen

Background: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI). Objective: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone. Methods: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step. Results: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables. Conclusion: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.



2020 ◽  
Vol Volume 15 ◽  
pp. 217-224
Author(s):  
Ying Ru Feng ◽  
Lynn Meuleners ◽  
Mark Stevenson ◽  
Jane Heyworth ◽  
Kevin Murray ◽  
...  


2019 ◽  
Vol 20 (6) ◽  
pp. 630-635 ◽  
Author(s):  
Sophia Vardaki ◽  
Anne E. Dickerson ◽  
Ion Beratis ◽  
George Yannis ◽  
Sokratis G. Papageorgiou


Author(s):  
Ranmalee Eramudugolla ◽  
Md Hamidul Huque ◽  
Joanne Wood ◽  
Kaarin J. Anstey


2021 ◽  
Vol Volume 16 ◽  
pp. 1473-1483
Author(s):  
Ying Ru Feng ◽  
Lynn Meuleners ◽  
Mark Stevenson ◽  
Jane Heyworth ◽  
Kevin Murray ◽  
...  


2012 ◽  
Vol 60 (7) ◽  
pp. 1379-1381 ◽  
Author(s):  
Naoko Kawano ◽  
Kunihiro Iwamoto ◽  
Kazutoshi Ebe ◽  
Yusuke Suzuki ◽  
Jun Hasegawa ◽  
...  


Author(s):  
Katerina Touliou ◽  
Maria Panou ◽  
Nikolaos Maglaveras ◽  
Evangelos Bekiaris


2021 ◽  
Vol Volume 16 ◽  
pp. 2069-2078
Author(s):  
Ying Ru Feng ◽  
Lynn Meuleners ◽  
Mark Stevenson ◽  
Jane Heyworth ◽  
Kevin Murray ◽  
...  


2012 ◽  
Vol 49 ◽  
pp. 300-307 ◽  
Author(s):  
Anna Devlin ◽  
Jane McGillivray ◽  
Judith Charlton ◽  
Georgia Lowndes ◽  
Virginie Etienne


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