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Babulal GM, Chen L, Murphy SA, Carr DB, Morris JC. Predicting Driving Cessation Among Cognitively Normal Older Drivers: The Role of Alzheimer Disease Biomarkers and Clinical Assessments. Neurology 2024; 102:e209426. [PMID: 38776513 PMCID: PMC11226325 DOI: 10.1212/wnl.0000000000209426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/11/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES With the aging US population and increasing incidence of Alzheimer disease (AD), understanding factors contributing to driving cessation among older adults is crucial for clinicians. Driving is integral for maintaining independence and functional mobility, but the risk factors for driving cessation, particularly in the context of normal aging and preclinical AD, are not well understood. We studied a well-characterized community cohort to examine factors associated with driving cessation. METHODS This prospective, longitudinal observation study enrolled participants from the Knight Alzheimer Disease Research Center and The DRIVES Project. Participants were enrolled if they were aged 65 years or older, drove weekly, and were cognitively normal (Clinical Dementia Rating [CDR] = 0) at baseline. Participants underwent annual clinical, neurologic, and neuropsychological assessments, including β-amyloid PET imaging and CSF (Aβ42, total tau [t-Tau], and phosphorylated tau [p-Tau]) collection every 2-3 years. The primary outcome was time from baseline visit to driving cessation, accounting for death as a competing risk. The cumulative incidence function of driving cessation was estimated for each biomarker. The Fine and Gray subdistribution hazard model was used to examine the association between time to driving cessation and biomarkers adjusting for clinical and demographic covariates. RESULTS Among the 283 participants included in this study, there was a mean follow-up of 5.62 years. Driving cessation (8%) was associated with older age, female sex, progression to symptomatic AD (CDR ≥0.5), and poorer performance on a preclinical Alzheimer cognitive composite (PACC) score. Aβ PET imaging did not independently predict driving cessation, whereas CSF biomarkers, specifically t-Tau/Aβ42 (hazard ratio [HR] 2.82, 95% CI 1.23-6.44, p = 0.014) and p-Tau/Aβ42 (HR 2.91, 95% CI 1.28-6.59, p = 0.012) ratios, were independent predictors in the simple model adjusting for age, education, and sex. However, in the full model, progression to cognitive impairment based on the CDR and PACC score across each model was associated with a higher risk of driving cessation, whereas AD biomarkers were not statistically significant. DISCUSSION Female sex, CDR progression, and neuropsychological measures of cognitive functioning obtained in the clinic were strongly associated with future driving cessation. The results emphasize the need for early planning and conversations about driving retirement in the context of cognitive decline and the immense value of clinical measures in determining functional outcomes.
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Affiliation(s)
- Ganesh M Babulal
- From the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO
| | - Ling Chen
- From the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO
| | - Samantha A Murphy
- From the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO
| | - David B Carr
- From the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO
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Morrissey S, Jeffs S, Gillings R, Khondoker M, Patel M, Fisher-Morris M, Manley E, Hornberger M. The Impact of Spatial Orientation Changes on Driving Behavior in Healthy Aging. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbad188. [PMID: 38134234 PMCID: PMC10872713 DOI: 10.1093/geronb/gbad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Indexed: 12/24/2023] Open
Abstract
OBJECTIVES Global cognitive changes in older age affect driving behavior and road safety, but how spatial orientation differences affect driving behaviors is unknown on a population level, despite clear implications for driving policy and evaluation during aging. The present study aimed to establish how spatial navigation changes affect driving behavior and road safety within a large cohort of older adults. METHODS Eight hundred and four participants (mean age: 71.05) were recruited for a prospective cohort study. Participants self-reported driving behavior followed by spatial orientation (allocentric and egocentric) testing and a broader online cognitive battery (visuomotor speed, processing speed, executive functioning, spatial working memory, episodic memory, visuospatial functioning). RESULTS Spatial orientation performance significantly predicted driving difficulty and frequency. Experiencing more driving difficulty was associated with worse allocentric spatial orientation, processing speed, and source memory performance. Similarly, avoiding challenging driving situations was associated with worse spatial orientation and episodic memory. Allocentric spatial orientation was the only cognitive domain consistently affecting driving behavior in under 70 and over 70 age groups, a common age threshold for driving evaluation in older age. DISCUSSION We established for the first time that worse spatial orientation performance predicted increased driving difficulty and avoidance of challenging situations within an older adult cohort. Deficits in spatial orientation emerge as a robust indicator of driving performance in older age, which should be considered in future aging driving assessments, as it has clear relevance for road safety within the aging population.
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Affiliation(s)
- Sol Morrissey
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Stephen Jeffs
- Department of Psychology, University of Exeter, Exeter, UK
| | - Rachel Gillings
- Norwich Medical School, University of East Anglia, Norwich, UK
| | | | - Martyn Patel
- Norwich Medical School, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals National Health Service Foundation Trust, Norwich, UK
| | | | - Ed Manley
- School of Geography, University of Leeds, Leeds, UK
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Pope CN, Wheeler KM, Bell TR, Carroll BE, Ross LA, Crowe M, Black SR, Clay OJ, Ball KK. Social and Neighborhood Context Moderates the Associations Between Processing Speed and Driving Mobility: A 10-year Analysis of the ACTIVE Study. J Aging Health 2023; 35:26S-39S. [PMID: 37994848 DOI: 10.1177/08982643231163907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Objectives: Processing speed is essential to functional independence in later life, such as driving a vehicle. Few studies have examined processing speed and driving mobility in the context of racial differences and social determinants of health (SDoH). This study characterized the longitudinal association between processing speed and driving mobility, and how it varied by race and SDoH. Methods: Using data from the control arm of the Advanced Cognitive Training in Vital Elderly study (n = 581, 24.5% Black), multilevel models examined longitudinal associations between processing speed and driving mobility outcomes (driving space, exposure, and difficulty). Race and SDoH moderations were explored. Results: Decline in processing speed measures was associated with increased self-reported driving difficulty, but only for older adults with below-average to average scores for neighborhood and built environments and social community context SDoH domains. Discussion: Findings emphasize the influence of physical and social environmental characteristics on processing speed and driving mobility.
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Affiliation(s)
- Caitlin N Pope
- Department of Health, Behavior and Society, University of Kentucky, Lexington, KY, USA
| | - Katie M Wheeler
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Tyler R Bell
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Brooke E Carroll
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Lesley A Ross
- Department of Psychology, Clemson University, SC, USA
| | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Shelia R Black
- Department of Psychology, The University of Alabama, Tuscaloosa, AL, USA
| | - Olivio J Clay
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Karlene K Ball
- Department of Psychology, University of Alabama at Birmingham, AL, USA
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Babulal GM, Chen L, Carr DB, Johnson AM, Shimony JS, Doherty J, Murphy S, Walker A, Domash H, Hornbeck R, Keefe S, Flores S, Raji CA, Morris JC, Ances BM, Benzinger TLS. Cortical atrophy and leukoaraiosis, imaging markers of cerebrovascular small vessel disease, are associated with driving behavior changes among cognitively normal older adults. J Neurol Sci 2023; 448:120616. [PMID: 36989588 PMCID: PMC10106438 DOI: 10.1016/j.jns.2023.120616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 03/28/2023]
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) as measured by cortical atrophy and white matter hyperintensities [leukoaraiosis], captured via magnetic resonance imaging (MRI) are increasing in prevalence due to the growth of the aging population and an increase in cardiovascular risk factors in the population. CSVD impacts cognitive function and mobility, but it is unclear if it affects complex, functional activities like driving. METHODS In a cohort of 163 cognitively normal, community-dwelling older adults (age ≥ 65), we compared naturalistic driving behavior with mild/moderate leukoaraiosis, cortical atrophy, or their combined rating in a clinical composite termed, aging-related changes to those without any, over a two-and-a-half-year period. RESULTS Older drivers with mild or moderate cortical atrophy and aging-related changes (composite) experienced a greater decrease in the number of monthly trips which was due to a decrease in the number of trips made within a one-to-five-mile diameter from their residence. Older drivers with CSVD experience a larger reduction in daily driving behaviors than drivers without CSVD, which may serve as an early neurobehavioral marker for functional decline. CONCLUSIONS As CSVD markers, leukoaraiosis and cortical atrophy are standard MRI metrics that are widely available and can be used for screening individuals at higher risk for driving safety risk and decline in community mobility.
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Affiliation(s)
- Ganesh M Babulal
- Department of Neurology, Washington University in St. Louis, MO, USA; Institute of Public Health, Washington University in St. Louis, St. Louis, MO, USA; Department of Psychology, Faculty of Humanities, University of Johannesburg, South Africa; Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington DC, USA.
| | - Ling Chen
- Division of Biostatistics, Washington University in St. Louis, MO, USA
| | - David B Carr
- Department of Medicine, Division of Geriatrics & Nutritional Sciences, Washington University in St. Louis, MO, USA
| | - Ann M Johnson
- Center for Clinical Studies, Washington University in St. Louis, MO, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA
| | - Jason Doherty
- Department of Neurology, Washington University in St. Louis, MO, USA
| | - Samantha Murphy
- Department of Neurology, Washington University in St. Louis, MO, USA
| | - Alexis Walker
- Department of Neurology, Washington University in St. Louis, MO, USA
| | - Hailee Domash
- Department of Neurology, Washington University in St. Louis, MO, USA
| | - Russ Hornbeck
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA
| | - Sarah Keefe
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA
| | - Shaney Flores
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA
| | - Cyrus A Raji
- Department of Neurology, Washington University in St. Louis, MO, USA; Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, MO, USA; Institute of Public Health, Washington University in St. Louis, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, MO 63110, USA
| | - Beau M Ances
- Department of Neurology, Washington University in St. Louis, MO, USA; Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, MO 63110, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University in St. Louis, MO 63110, USA
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Doherty JM, Murphy SA, Bayat S, Wisch JK, Johnson AM, Walker A, Schindler SE, Ances BM, Morris JC, Babulal GM. Adverse driving behaviors increase over time as a function of preclinical Alzheimer's disease biomarkers. Alzheimers Dement 2023; 19:2014-2023. [PMID: 36419201 PMCID: PMC10182221 DOI: 10.1002/alz.12852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/02/2022] [Accepted: 10/05/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION We investigated the relationship between preclinical Alzheimer's disease (AD) biomarkers and adverse driving behaviors in a longitudinal analysis of naturalistic driving data. METHODS Naturalistic driving data collected using in-vehicle dataloggers from 137 community-dwelling older adults (65+) were used to model driving behavior over time. Cerebrospinal fluid (CSF) biomarkers were used to identify individuals with preclinical AD. Additionally, hippocampal volume and cognitive biomarkers for AD were investigated in exploratory analyses. RESULTS CSF biomarkers predicted the longitudinal trajectory of the incidence of adverse driving behavior. Abnormal amyloid beta (Aβ42 /Aβ40 ) ratio was associated with an increase in adverse driving behaviors over time compared to ratios in the normal/lower range. DISCUSSION Preclinical AD is associated with increased adverse driving behavior over time that cannot be explained by cognitive changes. Driving behavior as a functional, neurobehavioral marker may serve as an early detection for decline in preclinical AD. Screening may also help prolong safe driving as older drivers age.
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Affiliation(s)
- Jason M. Doherty
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Samantha A. Murphy
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Sayeh Bayat
- Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada
- Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Julie K. Wisch
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ann M. Johnson
- Center for Clinical Studies, Washington University in St. Louis, St. Louis, MO, USA
| | - Alexis Walker
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Suzanne E. Schindler
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, MO, USA
| | - Beau M. Ances
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, MO, USA
| | - Ganesh M. Babulal
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University in St. Louis, MO, USA
- Institute of Public Health, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychology, Faculty of Humanities, University of Johannesburg, South Africa
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
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Murphy SA, Chen L, Doherty JM, Acharyya P, Riley N, Johnson AM, Walker A, Domash H, Jorgensen M, Bayat S, Carr DB, Ances BM, Babulal GM. Cognitive and brain reserve predict decline in adverse driving behaviors among cognitively normal older adults. Front Psychol 2022; 13:1076735. [PMID: 36619039 PMCID: PMC9817101 DOI: 10.3389/fpsyg.2022.1076735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/06/2022] [Indexed: 12/25/2022] Open
Abstract
Daily driving is a multi-faceted, real-world, behavioral measure of cognitive functioning requiring multiple cognitive domains working synergistically to complete this instrumental activity of daily living. As the global population of older adult continues to grow, motor vehicle crashes become more frequent among this demographic. Cognitive reserve (CR) is the brain's adaptability or functional robustness despite damage, while brain reserve (BR) refers the structural, neuroanatomical resources. This study examined whether CR and BR predicted changes in adverse driving behaviors in cognitively normal older adults. Cognitively normal older adults (Clinical Dementia Rating 0) were enrolled from longitudinal studies at the Knight Alzheimer's Disease Research Center at Washington University. Participants (n = 186) were ≥65 years of age, required to have Magnetic Resonance Imaging (MRI) data, neuropsychological testing data, and at least one full year of naturalistic driving data prior to the beginning of COVID-19 lockdown in the United States (March 2020) as measured by Driving Real World In-vehicle Evaluation System (DRIVES). Findings suggest numerous changes in driving behaviors over time were predicted by increased hippocampal and whole brain atrophy, as well as lower CR scores as proxied by the Wide Range Achievement Test 4. These changes indicate that those with lower BR and CR are more likely to reduce their driving exposure and limit trips as they age and may be more likely to avoid highways where speeding and aggressive maneuvers frequently occur.
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Affiliation(s)
- Samantha A. Murphy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Ling Chen
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Jason M. Doherty
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Prerana Acharyya
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Noah Riley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Ann M. Johnson
- Center for Clinical Studies, Washington University School of Medicine, St. Louis, MO, United States
| | - Alexis Walker
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Hailee Domash
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Maren Jorgensen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Sayeh Bayat
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
- Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - David B. Carr
- Department of Medicine, Division of Geriatrics and Nutritional Science, Washington University School of Medicine, St. Louis, MO, United States
| | - Beau M. Ances
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, St. Louis, MO, United States
| | - Ganesh M. Babulal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Washington University School of Medicine, Institute for Public Health, St. Louis, MO, United States
- Department of Psychology, Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, WA, United States
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