Andrew J Aschenbrenner, David B Carr, Tammie L S Benzinger, John C Morris, Ganesh M Babulal
{"title":"The Influence of Personality Traits on Driving Behaviors in Preclinical Alzheimer Disease.","authors":"Andrew J Aschenbrenner, David B Carr, Tammie L S Benzinger, John C Morris, Ganesh M Babulal","doi":"10.1097/WAD.0000000000000632","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Alzheimer disease (AD) has a long preclinical phase in which AD pathology is accumulating without detectable clinical symptoms. It is critical to identify participants in this preclinical phase as early as possible since treatment plans may be more effective in this stage. Monitoring for changes in driving behavior, as measured with GPS sensors, has been explored as a low-burden, easy-to-administer method for detecting AD risk. However, driving is a complex, multifaceted process that is likely influenced by other factors, including personality traits, that may change in preclinical AD.</p><p><strong>Methods: </strong>We examine the moderating influence of neuroticism and conscientiousness on longitudinal changes in driving behavior in a sample of 203 clinically normal older adults who are at varying risk of developing AD.</p><p><strong>Results: </strong>Neuroticism moderated rates of change in the frequency of speeding as well as the number of trips taken at night. Conscientiousness moderated rates of change in typical driving space.</p><p><strong>Conclusions: </strong>Personality traits change in early AD and also influence driving behaviors. Studies that seek to utilize naturalistic driving behavior to establish AD risk need to accommodate interpersonal differences, of which personality traits are one of many possible factors. Future studies should explicitly establish how much benefit is provided by including personality traits in predictive models of AD progression.</p>","PeriodicalId":7679,"journal":{"name":"Alzheimer Disease & Associated Disorders","volume":"38 3","pages":"241-248"},"PeriodicalIF":1.8000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524437/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer Disease & Associated Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/WAD.0000000000000632","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Alzheimer disease (AD) has a long preclinical phase in which AD pathology is accumulating without detectable clinical symptoms. It is critical to identify participants in this preclinical phase as early as possible since treatment plans may be more effective in this stage. Monitoring for changes in driving behavior, as measured with GPS sensors, has been explored as a low-burden, easy-to-administer method for detecting AD risk. However, driving is a complex, multifaceted process that is likely influenced by other factors, including personality traits, that may change in preclinical AD.
Methods: We examine the moderating influence of neuroticism and conscientiousness on longitudinal changes in driving behavior in a sample of 203 clinically normal older adults who are at varying risk of developing AD.
Results: Neuroticism moderated rates of change in the frequency of speeding as well as the number of trips taken at night. Conscientiousness moderated rates of change in typical driving space.
Conclusions: Personality traits change in early AD and also influence driving behaviors. Studies that seek to utilize naturalistic driving behavior to establish AD risk need to accommodate interpersonal differences, of which personality traits are one of many possible factors. Future studies should explicitly establish how much benefit is provided by including personality traits in predictive models of AD progression.
期刊介绍:
Alzheimer Disease & Associated Disorders is a peer-reviewed, multidisciplinary journal directed to an audience of clinicians and researchers, with primary emphasis on Alzheimer disease and associated disorders. The journal publishes original articles emphasizing research in humans including epidemiologic studies, clinical trials and experimental studies, studies of diagnosis and biomarkers, as well as research on the health of persons with dementia and their caregivers. The scientific portion of the journal is augmented by reviews of the current literature, concepts, conjectures, and hypotheses in dementia, brief reports, and letters to the editor.