撞车
毒物控制
职业安全与健康
伤害预防
逻辑回归
检查表
医学
人为因素与人体工程学
自杀预防
人口学
老年学
环境卫生
运输工程
心理学
工程类
计算机科学
社会学
病理
认知心理学
内科学
程序设计语言
作者
Jue Liu,Yuya Fujii,Keisuke Fujii,Jaehoon Seol,Mijin Kim,Korin Tateoka,Koki Nagata,Hanlin Zhang,Tomohiro Okura
标识
DOI:10.1080/15389588.2022.2030473
摘要
Objectives: Frailty might be useful to identify older drivers who are at risk for traffic crashes. We aim to examine the association between pre-frailty/frailty defined by the Kihon Checklist (KCL) and the involvement of traffic crashes and clarify whether some domains of the KCL are associated with traffic crashes.Methods: This cross-sectional study analyzed data from 2,208 Japanese community-dwelling older drivers aged ≥ 65 years in Kasama City, who participated in our postal survey in November 2019. A self-reported history of traffic crashes was used to divide participants into non-crash-involved and crash-involved groups.Results: A total of 192 (8.7%) participants had been involved in traffic crashes in the past year. The crash-involved group was found to have gained more body mass index, driven more frequently, and scored higher on the total KCL score than the non-crash-involved group (all P < .05). Binary logistic regression analyses showed that after adjusting for age, sex, education, driving frequency, and driving distance, pre-frailty (OR = 1.52, 95% CI: 1.10–2.10) was more significantly associated with traffic crashes as compared to robustness. Those who had impairment in the oral domain (OR = 1.57, 95% CI: 1.09–2.27) and memory domain (OR = 1.38, 95% CI: 1.01–1.90) were also more likely to be involved in traffic crashes.Conclusion: The results suggest that identifying pre-frailty may play an important pole in crash prevention. Additionally, more attention should be given to older drivers with oral dysfunction and cognitive impairment.
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