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Candrive-Development of a Risk Stratification Tool for Older Drivers.Candrive-为老年驾驶员开发风险分层工具。
J Gerontol A Biol Sci Med Sci. 2023 Dec 1;78(12):2348-2355. doi: 10.1093/gerona/glad044.
2
The Association between Psychological Resilience and Driving Behavior among Older Drivers in Australia.澳大利亚老年驾驶员心理韧性与驾驶行为之间的关联
J Appl Gerontol. 2023 Aug;42(8):1749-1759. doi: 10.1177/07334648231156320. Epub 2023 Feb 7.
3
Distraction impairs drivers of all ages: A cross-sectional analysis of fatal crashes in the United States.分散注意力会影响所有年龄段的驾驶员:对美国致命车祸的横断面分析。
Traffic Inj Prev. 2022;23(8):465-470. doi: 10.1080/15389588.2022.2123221. Epub 2022 Sep 27.
4
Examining Patterns of Driving Avoidance Behaviors Among Older People Using Latent Class Analysis.运用潜在类别分析研究老年人的驾驶回避行为模式。
J Appl Gerontol. 2022 Jul;41(7):1752-1762. doi: 10.1177/07334648221086953. Epub 2022 Apr 20.
5
Left Turns by Older Drivers With Vision Impairment: A Naturalistic Driving Study.视力受损老年驾驶员的左转情况:一项自然驾驶研究。
Innov Aging. 2021 Aug 1;5(3):igab026. doi: 10.1093/geroni/igab026. eCollection 2021.
6
Relationships Between Cognitive and Driving Self-awareness in Older Drivers.老年人认知与驾驶自我意识的关系。
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7
A systematic review and meta-analysis of older driver interventions.老年人驾驶员干预措施的系统评价和荟萃分析。
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8
Teaching older drivers to navigate GPS technology.教授老年驾驶员使用 GPS 技术。
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9
Do drivers self-regulate their engagement in secondary tasks at intersections? An examination based on naturalistic driving data.驾驶员在交叉路口会自我调节参与次要任务的程度吗?基于自然驾驶数据的检验。
Accid Anal Prev. 2020 Mar;137:105464. doi: 10.1016/j.aap.2020.105464. Epub 2020 Feb 5.
10
Older driver training programs: A systematic review of evidence aimed at improving behind-the-wheel performance.老年驾驶员培训计划:旨在提高驾驶表现的系统评价证据。
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六年期间老年驾驶员减少分散注意力行为的参与度:来自 Candrive 纵向研究的结果。

Older Drivers Reduced Engagement in Distracting Behaviors Over a Six-Year Period: Findings From the Candrive Longitudinal Study.

机构信息

Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Ontario, Canada.

Center for Applied Health Research, St. Joseph's Care Group, Thunder Bay, Ontario, Canada.

出版信息

J Gerontol B Psychol Sci Soc Sci. 2024 Feb 1;79(2). doi: 10.1093/geronb/gbad168.

DOI:10.1093/geronb/gbad168
PMID:37934029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10809215/
Abstract

OBJECTIVES

Baltes and Baltes' "selective optimization with compensation" model is pertinent to driving but evidence about the use of compensation using longitudinal designs is scarce. Therefore, we sought to determine if older drivers reduced their engagement in distracting behaviors while driving, over a 6-year period.

METHODS

We used data captured over several annual assessments from a cohort of 583 drivers aged 70 and older to determine if their engagement in 12 distracting behaviors (e.g., listening to the radio, talking with passengers) declined over time. We adjusted our multivariable model for several potential confounders of the association between our outcome variable and time.

RESULTS

Overall, and after adjustment for potential confounders, the participants reduced their engagement in distracting behaviors over the study period (odds ratio [OR] = 0.96, 95% confidence interval [CI] = 0.95-0.97). Baseline age was negatively associated with engagement in distracting behaviors (OR = 0.95, 95% CI = 0.94-0.96). Men engaged in more distracting behaviors than women (OR = 1.15, 95% CI = 1.03-1.27), as did participants living in the largest urban centers compared to participants living in the smallest areas (OR = 1.21, 95% CI = 1.04-1.41). The number of kilometers driven per year (for every 10,000 km) was positively associated with the proportion of distracting behaviors drivers engaged in (OR = 1.13, 95% CI = 1.08-1.19).

DISCUSSION

Drivers in our cohort reduced their engagement in distracting behaviors over the study period. This suggests that older drivers adjust their driving over time, which aligns with age-related theories and models about compensation.

摘要

目的

Baltes 和 Baltes 的“选择性优化与补偿”模型与驾驶行为相关,但关于使用纵向设计进行补偿的证据很少。因此,我们试图确定老年驾驶员是否会在 6 年的时间内减少驾驶时分心行为的发生。

方法

我们使用了一个由 583 名 70 岁及以上驾驶员组成的队列的多年年度评估数据,来确定他们在这段时间内是否减少了 12 种分心行为(例如听广播、与乘客交谈)的发生。我们调整了多变量模型,以控制与我们的结果变量与时间之间的关联有关的几个潜在混杂因素。

结果

总体而言,在调整了潜在混杂因素后,参与者在研究期间减少了分心行为的发生(比值比 [OR] = 0.96,95%置信区间 [CI] = 0.95-0.97)。基线年龄与分心行为的发生呈负相关(OR = 0.95,95% CI = 0.94-0.96)。男性比女性从事更多的分心行为(OR = 1.15,95% CI = 1.03-1.27),与居住在最小区域的参与者相比,居住在最大城市中心的参与者从事更多的分心行为(OR = 1.21,95% CI = 1.04-1.41)。每年驾驶的公里数(每 10000 公里)与驾驶员从事的分心行为比例呈正相关(OR = 1.13,95% CI = 1.08-1.19)。

讨论

我们队列中的驾驶员在研究期间减少了他们从事分心行为的次数。这表明老年驾驶员会随着时间的推移调整他们的驾驶行为,这与与年龄相关的补偿理论和模型一致。