Luke R Miller, Christopher Reed, Ross Divers, Matthew Calamia
{"title":"驾驶频率基线差异作为认知能力下降和阿尔茨海默病的预测因子。","authors":"Luke R Miller, Christopher Reed, Ross Divers, Matthew Calamia","doi":"10.1177/08919887231175436","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To extend prior research by examining daily driving frequency as a predictor of cognitive decline and later diagnosis of Alzheimer's disease.</p><p><strong>Methods: </strong>1,426 older adults completed batteries of questionnaires and neuropsychological tests at baseline and yearly follow-ups (M = 6.8, SD = 4.9). Linear mixed effects models were estimated to examine whether daily driving frequency at baseline was predictive of cognitive decline while accounting for IADLs, mobility, depression, and demographics. Cox regression was used to examine driving frequency as a predictor of Alzheimer's disease diagnosis.</p><p><strong>Results: </strong>Less daily driving frequency was associated with greater decline in all cognitive domains over time except for working memory. Although driving frequency was associated with these changes in cognition, it did not uniquely predict the development of Alzheimer's disease when accounting for other factors (eg, other IADLs).</p><p><strong>Conclusions: </strong>Our findings extend prior research linking driving cessation to greater levels of cognitive decline. Future work might benefit from examining the utility of driving habits (especially changes in driving) as measures of everyday functioning in older adult evaluations.</p>","PeriodicalId":16028,"journal":{"name":"Journal of Geriatric Psychiatry and Neurology","volume":" ","pages":"14-23"},"PeriodicalIF":2.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Baseline Differences in Driving Frequency as a Predictor of Cognitive Decline and Alzheimer's Disease.\",\"authors\":\"Luke R Miller, Christopher Reed, Ross Divers, Matthew Calamia\",\"doi\":\"10.1177/08919887231175436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To extend prior research by examining daily driving frequency as a predictor of cognitive decline and later diagnosis of Alzheimer's disease.</p><p><strong>Methods: </strong>1,426 older adults completed batteries of questionnaires and neuropsychological tests at baseline and yearly follow-ups (M = 6.8, SD = 4.9). Linear mixed effects models were estimated to examine whether daily driving frequency at baseline was predictive of cognitive decline while accounting for IADLs, mobility, depression, and demographics. Cox regression was used to examine driving frequency as a predictor of Alzheimer's disease diagnosis.</p><p><strong>Results: </strong>Less daily driving frequency was associated with greater decline in all cognitive domains over time except for working memory. Although driving frequency was associated with these changes in cognition, it did not uniquely predict the development of Alzheimer's disease when accounting for other factors (eg, other IADLs).</p><p><strong>Conclusions: </strong>Our findings extend prior research linking driving cessation to greater levels of cognitive decline. Future work might benefit from examining the utility of driving habits (especially changes in driving) as measures of everyday functioning in older adult evaluations.</p>\",\"PeriodicalId\":16028,\"journal\":{\"name\":\"Journal of Geriatric Psychiatry and Neurology\",\"volume\":\" \",\"pages\":\"14-23\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geriatric Psychiatry and Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/08919887231175436\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/5/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geriatric Psychiatry and Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/08919887231175436","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/5/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Baseline Differences in Driving Frequency as a Predictor of Cognitive Decline and Alzheimer's Disease.
Objective: To extend prior research by examining daily driving frequency as a predictor of cognitive decline and later diagnosis of Alzheimer's disease.
Methods: 1,426 older adults completed batteries of questionnaires and neuropsychological tests at baseline and yearly follow-ups (M = 6.8, SD = 4.9). Linear mixed effects models were estimated to examine whether daily driving frequency at baseline was predictive of cognitive decline while accounting for IADLs, mobility, depression, and demographics. Cox regression was used to examine driving frequency as a predictor of Alzheimer's disease diagnosis.
Results: Less daily driving frequency was associated with greater decline in all cognitive domains over time except for working memory. Although driving frequency was associated with these changes in cognition, it did not uniquely predict the development of Alzheimer's disease when accounting for other factors (eg, other IADLs).
Conclusions: Our findings extend prior research linking driving cessation to greater levels of cognitive decline. Future work might benefit from examining the utility of driving habits (especially changes in driving) as measures of everyday functioning in older adult evaluations.
期刊介绍:
Journal of Geriatric Psychiatry and Neurology (JGP) brings together original research, clinical reviews, and timely case reports on neuropsychiatric care of aging patients, including age-related biologic, neurologic, and psychiatric illnesses; psychosocial problems; forensic issues; and family care. The journal offers the latest peer-reviewed information on cognitive, mood, anxiety, addictive, and sleep disorders in older patients, as well as tested diagnostic tools and therapies.