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。

IF 2.9 4区 医学 Q2 CLINICAL NEUROLOGY Journal of Geriatric Psychiatry and Neurology Pub Date : 2024-01-01 Epub Date: 2023-05-06 DOI:10.1177/08919887231175436
Luke R Miller, Christopher Reed, Ross Divers, Matthew Calamia
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引用次数: 0

摘要

目的:通过检测日常驾驶频率作为阿尔茨海默病认知能力下降和后期诊断的预测因子来扩展先前的研究。方法:1426名老年人在基线和年度随访时完成了一系列问卷调查和神经心理测试(M = 6.8, SD = 4.9)。估计了线性混合效应模型,以检查基线时的每日驾驶频率是否可以预测认知能力下降,同时考虑到iadl、流动性、抑郁和人口统计学。使用Cox回归检验驾驶频率作为阿尔茨海默病诊断的预测因子。结果:随着时间的推移,每天驾驶频率越少,除工作记忆外,所有认知领域的衰退都越大。尽管驾驶频率与这些认知变化有关,但当考虑到其他因素(如其他iadl)时,它并不能唯一地预测阿尔茨海默病的发展。结论:我们的发现扩展了先前的研究,将停止驾驶与认知能力下降的程度联系起来。未来的工作可能会受益于研究驾驶习惯(尤其是驾驶变化)作为老年人日常功能评估指标的效用。
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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.

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来源期刊
CiteScore
6.20
自引率
0.00%
发文量
40
审稿时长
>12 weeks
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.
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