Somatic Factors Predict On-Road Driving Skills in Older Drivers and Drivers with Mild Cognitive Impairment.

Maximilian Flieger, Wolf Schäbitz, Daniel A Schlueter, Kim L Austerschmidt, Jessica Koenig, Thomas Beblo, Martin Driessen, Max Toepper
{"title":"Somatic Factors Predict On-Road Driving Skills in Older Drivers and Drivers with Mild Cognitive Impairment.","authors":"Maximilian Flieger, Wolf Schäbitz, Daniel A Schlueter, Kim L Austerschmidt, Jessica Koenig, Thomas Beblo, Martin Driessen, Max Toepper","doi":"10.1093/gerona/glae152","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>On-road driving skills can be impaired in older drivers and drivers with mild cognitive impairment (MCI) due to different driving-relevant deficits. Among these deficits, somatic factors have received little attention so far.</p><p><strong>Methods: </strong>In a prospective observational on-road driving study, we examined whether somatic factors can predict on-road driving skills in a mixed sample of healthy older drivers and drivers with MCI (n = 99) and whether the inclusion of age explains additional variance. Somatic factors included the number of prescribed drugs, visual acuity, peripheral visual field integrity, mobility of the cervical spine, and hearing impairment. A hierarchical regression analysis was used to predict on-road driving skills by adding the somatic factors in the first step and age in the second step.</p><p><strong>Results: </strong>Results revealed that the combination of somatic factors significantly predicted on-road driving skills (R2adjusted = 0.439). The inclusion of age led to a significant increase of explained variance (R2adjusted = 0.466).</p><p><strong>Conclusions: </strong>Our results suggest that somatic factors can accurately predict on-road driving skills in healthy older drivers and drivers with MCI. In addition, our results suggest that there is a significant but rather small effect of age beyond somatic changes.</p>","PeriodicalId":94243,"journal":{"name":"The journals of gerontology. Series A, Biological sciences and medical sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The journals of gerontology. Series A, Biological sciences and medical sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glae152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: On-road driving skills can be impaired in older drivers and drivers with mild cognitive impairment (MCI) due to different driving-relevant deficits. Among these deficits, somatic factors have received little attention so far.

Methods: In a prospective observational on-road driving study, we examined whether somatic factors can predict on-road driving skills in a mixed sample of healthy older drivers and drivers with MCI (n = 99) and whether the inclusion of age explains additional variance. Somatic factors included the number of prescribed drugs, visual acuity, peripheral visual field integrity, mobility of the cervical spine, and hearing impairment. A hierarchical regression analysis was used to predict on-road driving skills by adding the somatic factors in the first step and age in the second step.

Results: Results revealed that the combination of somatic factors significantly predicted on-road driving skills (R2adjusted = 0.439). The inclusion of age led to a significant increase of explained variance (R2adjusted = 0.466).

Conclusions: Our results suggest that somatic factors can accurately predict on-road driving skills in healthy older drivers and drivers with MCI. In addition, our results suggest that there is a significant but rather small effect of age beyond somatic changes.

躯体因素可预测老年驾驶员和轻度认知障碍驾驶员的道路驾驶技能。
背景:老年驾驶员和轻度认知障碍(MCI)驾驶员的道路驾驶技能会因不同的驾驶相关缺陷而受损。在这些缺陷中,躯体因素至今很少受到关注:在一项前瞻性道路驾驶观察研究中,我们考察了躯体因素是否能预测健康老年驾驶者和 MCI 患者(n = 99)混合样本的道路驾驶技能,以及年龄是否能解释更多差异。躯体因素包括处方药数量、视力、周边视野完整性、颈椎活动度和听力损伤。通过分层回归分析,第一步加入躯体因素,第二步加入年龄,从而预测道路驾驶技能:结果表明,躯体因素的组合可显著预测道路驾驶技能(R2调整后=0.439)。结论:我们的研究结果表明,躯体因素可以预测道路驾驶技能(R2调整值=0.439),而年龄因素则可以显著增加解释方差(R2调整值=0.466):我们的研究结果表明,躯体因素可以准确预测健康老年驾驶者和患有 MCI 的驾驶者的道路驾驶技能。此外,我们的研究结果还表明,年龄对躯体变化的影响虽然显著,但却很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信