Naturalistic driving behavior among older adults with and without epilepsy: A pilot study

IF 2.3 3区 医学 Q2 BEHAVIORAL SCIENCES
Jonathan P. Williams , Yiqi Zhu , Ganesh M. Babulal
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Abstract

Objectives

Insufficient data exist for driving risk for people with epilepsy (PWE). This longitudinal, retrospective case-control study examines the differences in driving behaviors among older adults with/without epilepsy history using a novel naturalistic driving datalogger.

Methodology

Eligible participants were cognitively normal ([CDR] = 0) or had mild cognitive impairment (MCI) ([CDR] = 0.5), age ≥ 65, self-reported epilepsy history, and had a global positioning system datalogger installed in their vehicle, which collected data every 30 s during driving trips. Driving data captured between January 2023 and January 2025, aggregated monthly, were included. Linear mixed-effects (LME) models assessed longitudinal driving behavior data as a function of epilepsy status using a matched (age, sex, and education) case-control design.

Results

In this pilot study, epilepsy history had a significant effect on the y-intercept/baseline in models for driving parameters related to driving distance and speed. Longitudinal differences in LME models were shown for driving parameters associated with in-vehicle time, driving distance, and speed. PWE drove slower, less frequently (e.g., fewer trips), and spent more non-driving time in vehicles.

Conclusion

Important differences in driving behaviors may exist between drivers with and without epilepsy. New, effective methods to unobtrusively measure longitudinal driving behavior of PWE are feasible and can improve clinical management at the patient level. More studies are needed to elucidate the relationship between specific driving behaviors and driving risk in PWE.
有和没有癫痫的老年人的自然驾驶行为:一项初步研究
目的:关于癫痫患者(PWE)驾驶风险的数据不足。这项纵向、回顾性的病例对照研究使用一种新颖的自然驾驶数据记录仪来检查有/没有癫痫病史的老年人驾驶行为的差异。方法符合条件的参与者认知正常([CDR] = 0)或有轻度认知障碍(MCI) ([CDR] = 0.5),年龄≥65岁,自述有癫痫病史,车内安装了全球定位系统数据记录器,每30秒收集一次驾驶过程中的数据。包括2023年1月至2025年1月期间收集的月度汇总驾驶数据。线性混合效应(LME)模型使用匹配的(年龄、性别和教育程度)病例对照设计评估纵向驾驶行为数据作为癫痫状态的函数。结果在本初步研究中,癫痫病史对驾驶距离和速度相关驾驶参数模型的y截距/基线有显著影响。LME模型显示了与车内时间、驾驶距离和速度相关的驾驶参数的纵向差异。PWE驾驶速度更慢,频率更低(例如,更少的旅行),并且花更多的非驾驶时间在车辆上。结论癫痫患者与非癫痫患者在驾驶行为上存在显著差异。新的、有效的、不引人注目地测量PWE纵向驾驶行为的方法是可行的,可以改善患者层面的临床管理。PWE特定驾驶行为与驾驶风险之间的关系尚需进一步研究。
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来源期刊
Epilepsy & Behavior
Epilepsy & Behavior 医学-行为科学
CiteScore
5.40
自引率
15.40%
发文量
385
审稿时长
43 days
期刊介绍: Epilepsy & Behavior is the fastest-growing international journal uniquely devoted to the rapid dissemination of the most current information available on the behavioral aspects of seizures and epilepsy. Epilepsy & Behavior presents original peer-reviewed articles based on laboratory and clinical research. Topics are drawn from a variety of fields, including clinical neurology, neurosurgery, neuropsychiatry, neuropsychology, neurophysiology, neuropharmacology, and neuroimaging. From September 2012 Epilepsy & Behavior stopped accepting Case Reports for publication in the journal. From this date authors who submit to Epilepsy & Behavior will be offered a transfer or asked to resubmit their Case Reports to its new sister journal, Epilepsy & Behavior Case Reports.
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