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      Age-dependent visual exploration during simulated day- and night driving on a motorway: a cross-sectional study

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          Abstract

          Background

          Central and peripheral vision is needed for object detection. Previous research has shown that visual target detection is affected by age. In addition, light conditions also influence visual exploration. The aim of the study was to investigate the effects of age and different light conditions on visual exploration behavior and on driving performance during simulated driving.

          Methods

          A fixed-base simulator with 180 degree field of view was used to simulate a motorway route under daylight and night conditions to test 29 young subjects (25–40 years) and 27 older subjects (65–78 years). Drivers’ eye fixations were analyzed and assigned to regions of interests (ROI) such as street, road signs, car ahead, environment, rear view mirror, side mirror left, side mirror right, incoming car, parked car, road repair. In addition, lane-keeping and driving speed were analyzed as a measure of driving performance.

          Results

          Older drivers had longer fixations on the task relevant ROI, but had a lower frequency of checking mirrors when compared to younger drivers. In both age groups, night driving led to a less fixations on the mirror. At the performance level, older drivers showed more variation in driving speed and lane-keeping behavior, which was especially prominent at night. In younger drivers, night driving had no impact on driving speed or lane-keeping behavior.

          Conclusions

          Older drivers’ visual exploration behavior are more fixed on the task relevant ROI, especially at night, when driving performance becomes more heterogeneous than in younger drivers.

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          Most cited references50

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          Clock-drawing: is it the ideal cognitive screening test?

          The clock-drawing test has achieved widespread clinical use in recent years as a cognitive screening instrument and a significant amount of literature relates to its psychometric properties and clinical utility. This review aims to synthesize the available evidence and assess the value of this screening test according to well-defined criteria. A Medline and Psycho-info literature search of all languages was done from 1983 to 1998 including manual cross-referencing of bibliographies. A brief summary of all original scoring systems is provided as well as a review of replication studies. Psychometric data including correlations with other cognitive tests were recorded. Qualitative aspects of the test are also described. Among published studies, the mean sensitivity (85%) and specificity (85%) of the clock-drawing test are impressive. Correlations with the Mini-Mental State Examination and other cognitive tests was high, generally greater than r = 0.5. High levels of inter-rater and test-re-test reliability and positive predictive value are recorded and despite significant variability in the scoring systems, all report similar psychometric properties. The clock test also shows a sensitivity to cognitive change with good predictive validity. The clock-drawing test meets defined criteria for a cognitive screening instrument. It taps into a wide range of cognitive abilities including executive functions, is quick and easy to administer and score with excellent acceptability by subjects. Together with informant reports, the clock-drawing test is complementary to the widely used and validated Mini-Mental State Examination and should provide a significant advance in the early detection of dementia and in monitoring cognitive change. A simple scoring system with emphasis on the qualitative aspects of clock-drawing should maximize its utility. Copyright 2000 John Wiley & Sons, Ltd.
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            Human gaze control during real-world scene perception.

            In human vision, acuity and color sensitivity are best at the point of fixation, and the visual-cognitive system exploits this fact by actively controlling gaze to direct fixation towards important and informative scene regions in real time as needed. How gaze control operates over complex real-world scenes has recently become of central concern in several core cognitive science disciplines including cognitive psychology, visual neuroscience, and machine vision. This article reviews current approaches and empirical findings in human gaze control during real-world scene perception.
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              Identifying a cut-off point for normal mobility: a comparison of the timed 'up and go' test in community-dwelling and institutionalised elderly women.

              physical mobility testing is an essential component of the geriatric assessment. The timed up and go test measures basic mobility skills including a sequence of functional manoeuvres used in everyday life. to create a practical cut-off value to indicate normal versus below normal timed up and go test performance by comparing test performance of community-dwelling and institutionalised elderly women. 413 community-dwelling and 78 institutionalised mobile elderly women (age range 65-85 years) were enrolled in a cross-sectional study. timed up and go test duration, residential and mobility status, age, height, weight and body mass index were documented. 92% of community-dwelling elderly women performed the timed up and go test in less than 12 seconds and all community-dwelling women had times below 20 seconds. In contrast only 9% of institutionalised elderly women performed the timed up and go test in less than 12 seconds, 42% were below 20 seconds, 32% had results between 20 and 30 seconds and 26% were above 30 seconds. The 10(th)-90(th) percentiles for timed up and go test performance were 6.0-11.2 seconds for community-dwelling and 12.7-50.1 seconds for institutionalised elderly women. When stratifying participants according to mobility status, the timed up and go test duration increased significantly with decreasing mobility (Kruskall-Wallis-test: p<0.0001). Linear regression modelling identified residential status (p<0.0001) and physical mobility status (p<0.0001) as significant predictors of timed up and go performance. This model predicted 54% of total variation of timed up and go test performance. residential and mobility status were identified as the strongest predictors of timed up and go test performance. We recommend the timed up and go test as a screening tool to determine whether an in-depth mobility assessment and early intervention, such as prescription of a walking aid, home visit or physiotherapy, is necessary. Community-dwelling elderly women between 65 and 85 years of age should be able to perform the timed up and go test in 12 seconds or less.
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                Author and article information

                Contributors
                prabitha.urwyler@artorg.unibe.ch
                nicole.gruber@artorg.unibe.ch
                rene.mueri@insel.ch
                michael.jaeger@artorg.unibe.ch
                rahel.bieri@artorg.unibe.ch
                thomas.nyffeler@luks.ch
                urs.mosimann@gef.be.ch
                tobias.nef@artorg.unibe.ch
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                28 February 2015
                28 February 2015
                2015
                : 15
                : 18
                Affiliations
                [ ]Gerontechnology and Rehabilitation Group, University of Bern, Murtenstrasse 50, 3010 Bern, Switzerland
                [ ]Departments of Neurology and Clinical Research, Perception and Eye Movement Laboratory, University Hospital Inselspital, University of Bern, 3010 Bern, Switzerland
                [ ]Center of Neurology and Neurorehabilitation, Luzerner Kantonsspital, Spitalstrasse, 6000 Luzern 16, Switzerland
                [ ]University Hospital of Old Age Psychiatry, University of Bern, Murtenstrasse 21, 3010 Bern, Switzerland
                [ ]ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3010 Bern, Switzerland
                Article
                15
                10.1186/s12877-015-0015-2
                4350319
                9ffe4e32-528f-4872-8d78-fb6b488ad75c
                © Urwyler et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 16 January 2015
                : 13 February 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Geriatric medicine
                visual exploration,daylight driving,night driving,age,fixation durations,regions of interest,gaze behavior,simulated driving

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