Alzheimer and Vascular Dementias and Driving Fitten L.J.; Perryman K.M.; Wilkinson C.J.; Little R.J.; Burns M.M.; Pachana N.; Mervis R.; Malmgren R.; Siembieda.

Slides:



Advertisements
Similar presentations
Are You Smarter Than Your Teen Driver? Are You Smarter Than your Teen Driver? 1,000,000 Teen Driver Topic 1 Topic 1 Teen Driver Topic 1 Topic 1Teen Driver.
Advertisements

LOGO Relative effects of age and compromised vision on driving performance Professor: Liu Student: Ruby.
Epidemiological study of mild cognitive impairment and pilot evaluation of methods of early dementia detection in Chinese community Yueqin Huang MD MPH.
MemTrax (Computerized Memory Screen) American Association of Geriatric Psychiatry (AAGP) March 2, 2007 J. Wesson Ashford, M.D., Ph.D. Stanford / VA Aging.
PRACTICE PARAMETER: RISK OF DRIVING AND ALZHEIMER ’ S DISEASE (AN EVIDENCE-BASED REVIEW) Richard M. Dubinsky, MD; Anthony C. Stein, PhD; and Kelly Lyons,
Journal of the Neurological Sciences (2006) Author: Ergun Y. Uc, Matthew Rizzo, Steven W. Anderson, Qian Shia, Jeffrey D. Dawson.
Eye Movements of Younger and Older Drivers Professor: Liu Student: Ruby.
Assessment/Enhancement of Cognitive Ability in Older Adults Karlene Ball Center for Research on Applied Gerontology University of Alabama at Birmingham.
LOGO Dual-Task Performance Consequences of Imperfect Alerting Associated With a Cockpit Display of Traffic Information Christopher Wickens, Angela Colcombe.
1/44 Early Detection Of Alzheimer’s Disease Based on Cortical Thickness Measurements Master’s Thesis Defence Morten Simoni Spjuth Flemming H Gravesen 27.
Chapter 7 Sampling Distribution
Screening By building screening for symptoms of VCI into regular workflows or practice, health care providers are participating in Taking Action to address.
The New Brief Cognitive Assessment Tool (BCAT): The Role of Cognitive Assessment in Improving Health Outcomes Dr. William Mansbach October 25, 2011.
Mild Cognitive Impairment
St. Joseph’s Health Care London DriveABLE in London Evaluating the Medically At-Risk Driver Dr. Allen Dobbs Mary Anne McCallum.
Screening for Stroke and Cognitive Impairment Chapter 2: Background.
L O G O Impact of impulsiveness, venturesomeness, and empathy on driving by older adults Cynthia Owsley, Gerald McGwin Jr., Sandre F. McNeal Journal of.
Driver personality characteristics related to self-reported accident involvement and mobile phone use while driving 學生:莊靖玟.
Measures: The six variables analyzed were SLUMS exam score, hearing, gait, white blood cell count, serum albumin level and red blood cell count. The SLUMS.
CLINICAL REVIEW: Driving and dementia David A Breen, David P Breen, John W Moore, Patricia A Breen, Desmond O’Neill BMJ 2007;334:
ALZHEIMER’S DISEASE BY OLUFOLAKUNMI KEHINDE PRE-MD 1.
Elderly and driving By Melissa Hendrickson Auburn University Primary Care Nurse Practitioner Student.
Cognitive Impairment: An Independent Predictor of Excess Mortality SACHS, CARTER, HOLTZ, ET AL. ANN INTERN MED, SEP, 2011;155: ZACHARY LAPAQUETTE.
Cognitive demands of hands-free- phone conversation while driving Professor : Liu Student: Ruby.
Crash characteristics of older pedestrian fatalities: Dementia pathology may be related to ‘at risk’ traffic situations Authors: Gorrie, C.A. Brown, J.
The Mature Driver: Safety and Mobility Issues Naomi G Rotter New Jersey Institute of Technology Claire McKnight City College of New York Presentation to:
LOGO A review of individual differences in field dependence as a factor in auto safety Professor: Liu Student: Ruby.
"Impaired vision does not exclude practical fitness to drive" Aart C. Kooijman, Wiebo W. Brouwer, Ruud A. Bredewoud, Tanja R.M. Coeckelbergh, Frans W.
1 A follow up study of mild cognitive impairment in Beijing ----finding from 10/66 study Zhaorui Liu, Chuanjun Zhuo, Yueqin Huang, Shuran Li, Institute.
Medically At-Risk Drivers Evidence-Based Decisions.
WHAT WE LEARNED In a clinically-referred, assisted living sample: 1.NAB Judgment (NAB-JDG) scores displayed good internal consistency reliability. 2.NAB-JDG.
Laurence Lacoste Ph. D, Paris, France 1*. Introduction : Why ?  Population’s Ageing is a Public Health issue and dementia for the Elderly a reality 
Professor: Liu Student: Ruby
Competency in Older Adults: Clinical and Legal Perspectives The Role of Cognitive and Neuropsychological Evaluations John Crumlin, PhD Assistant Director,
Alzheimer’s Disease  Goals  To understand what dementia is  To explore causes, risk factors, symptoms, and treatments of Alzheimer’s Disease  To better.
Field dependence and driver visual search behavior Professor: Liu Student: Ruby.
Assessing and Counseling Older Drivers Identifying and Assessing the Medically Impaired Driver.
Transfer from structured to open-ended problem solving in a computerized metacognitive environment 指導教授 : Ming-Puu Chen 報告者 : Hui-Lan Juan 時間:
Using a driving simulator to identify older drivers at inflated risk of motor vehicle crashes Professor: Liu Student: Ruby.
Development of Standardized Descriptions of Driving Simulator Scenarios: The Older Driver 2005 TRB Human Factors Workshop Karlene Ball University of Alabama.
Age and Visual Impairment Decrease Driving Performance as Measured on a Closed-Road Circuit 學生:董瑩蟬.
Usability in Agile development John Eklund and Ciaran Levingston Presenter: 鄧孟儒.
Do Instrumental Activities of Daily Living Predict Dementia at 1- and 2- Year Follow-Up? Findings from the Development of Screening Guidelines and Diagnostic.
Using Eye Movements To Evaluate Effects of Driver Age on Risk Perception in a Driving Simulator Anuj Kumar Pradhan, Kim R. Hammel, Rosa DeRamus, Alexander.
Applicability of location compatibility to the arrangement of display and control in human – vehicle systems: Comparison between young and older adults.
THE INFLUENCE OF RISK PERCEPTION AND SELF-ASSESSED DRIVING ABILITIES ON THE BEHAVIOR OF YOUNG DRIVERS PhD Dragan Jvanović PhD Predrag Stanojević MSc Dragana.
Effect of sleep deprivation and driving duration on the useful visual field in younger and older subjects during simulator driving 學生:董瑩蟬.
The Alzheimer’s Disease Challenge: Take Your Knowledge Further ALZHEIMER’S DISEASE AND ITS MANAGEMENT: AN OVERVIEW.
Identifying and Tracking Changes in Cognition Related to NPH Sheldon Herring, Ph.D. Clinical Director Outpatient Brain Injury and Young Stroke Program.
Driver landmark and traffic sign identification in early Alzheimer’s disease E Y Uc, M Rizzo, S W Anderson, Q Shi, J D Dawson J Neurol Neurosurg Psychiatry.
Passenger carriage and car crash injury: a comparison between younger and older drivers Student :董瑩蟬.
Geula & Mesulam, Cerebral Cortex 1996, 6: Age-matched controlAlzheimer’s disease.
Manuel and Ita Lucero Summer 2016.
Cognitive Testing, Statistics and Dementia Ralph J. Kiernan Ph.D. 14 th May 2013.
COGNITIVE DEVELOPMENT IN LATE ADULTHOOD CHAPTER 18 Lecture Prepared by: Dr. M. Sawhney.
Loudness interacts with semantics in auditory warnings to impact rear-end collisions Carryl L. Baldwin, Jennifer F. May Transportation Research Part F.
The diagnosis of dementia - 2
Performance of Patients with Frontotemporal Dementia and Alzheimer’s Disease on an Activities of Daily Living Task Amina Flowers, Shira Kern, Iliana Meza-Gonzalez,
Comparison of Risk Factors for Early-Onset versus Late-Onset Alzheimer Disease OBJECTIVE To compare early-onset (before 65) Alzheimer disease (AD) patients.
The influence of distraction and driving context on driver response to imperfect collision warning systems M. N. LEES and J. D. LEE Ergonomics Vol. 50,
Chapter 7 Driving Privileges & Penalties “Driving is a privilege, not a right”
Identifying Medically At-Risk Drivers Older Driver Safety Summit Planning a Safe and Mobile Future for Massachusetts Ann Hollis, OTR/L Beth Israel Deaconess.
Neuropsychological Aspects of assessing driving safety in the elderly
Dementia Jaqueline Raetz, M.D..
C.Calia 1, L. Destino2, A. Semeraro 2, M. Pennelli 2, M. F. De Caro 2
From ESH 2016 | POS 3C: Chiara Lorenzi, MD
Dementia Jaqueline Raetz, M.D..
Cognitive Disorders and Aging
Cognition and the Older Driver
Youth Driving Under the Influence of Marijuana
Presentation transcript:

Alzheimer and Vascular Dementias and Driving Fitten L.J.; Perryman K.M.; Wilkinson C.J.; Little R.J.; Burns M.M.; Pachana N.; Mervis R.; Malmgren R.; Siembieda D.W.; Ganzell S. JAMA, May 3, 1995 – Vol 273, No.17

Introduction More than 60% of elderly drivers had some degree of cognitive impairment. Dementia impairs driving and increases accident risk. The study combined on the road and laboratory tests to examine the driving skills of patients with mild AD and VascD.

Methods-Subjects Eight-seven driving subjects were enrolled; 83 completed the study. 17 mild AD patients. 14 VascD patients 15 age-matched patients with diabetes 26 healthy, age-matched, older subjects (60 years above) and 16 young subjects (20 and 35 years).

Low level traffic condition similar to a suburban drive. The road test comprised a six stage driving course 2.7 miles long. Each stage presented a different degree of driving complexity. Methods-Sepulveda Road Test

Laboratory-Cognitive Measures and Mental Status Test. MMSE and the clock-drawing tests of mental status were given the morning of the drive. There were computerized tests of visual tracking, vigilance, divided attention, and STM. Divided Attention- The subject is required to allocate attention to two concurrent tasks(compensatory tracking and a visual search task.)

Sustained Attention- It is used to evaluate the subject’s performance of a prolonged, unvarying task. The task provides no feedback to the subject and uses an infrequent signal in a noisy background. The Sternberg Test-This is a STM test, which may be most relevant to the driving task of remembering road signs long enough to make proper use of them.

RESULTS

Comparison of Distributions Across Study Groups The AD group drove more slowly, had lower mean drive scores, and committed more errors in the complex stages of the course than the three control groups. The AD group had significantly lower performances of visual tracking search and Sternberg than the older control subjects.

Correlation Analysis Drive score correlated most strongly with the Sternberg(0.71), visual tracking(-0.69) and MMSET(-0.63) scores. 利用逐步迴歸得到 (R 2 of 0.68) Drive Score= (MMSET)- 1.23(Visual Tracking)+ 0.34(Sternberg)

Discriminant Analysis

Drive score and number of collisions and moving violations per 1,000 miles driven were negatively correlated (r = -0.38; p <.02).

COMMENT AD 和 VascD 患者在道路測試的績效明顯較對 照組差。 AD 和 VascD 患者會發生嚴重的駕駛錯誤,特 別是在複雜的道路中。 The three factors that best predicted the drive score are the Sternberg test, MMSE and visual tracking.

Based on this study, type and degree of cognitive impairment are better predictors of driving skills than age or medical diagnosis per se. Specific testing protocols for drivers with potential cognitive impairment may detect unsafe drivers effectively as criteria for license restriction or revocation.