Prevalence of fatigue while driving among two‑wheeled vehicle drivers and associated factors: Exploratory approach from secondary analysis based on hospital data, Benin

Author:

Ahanhanzo Yolaine G.ORCID,Kpozehouen AlphonseORCID,Salami LamidhiORCID,Gaffan NicolasORCID,Dos Santos Bella H.ORCID,Levêque AlainORCID

Abstract

Fatigue while driving is one of the risk factors of road crashes. It's still poorly considered in interventions because of insufficient literature. In addition, the literature on this issue doesn't focus on two-wheelers, the most frequent users in the Benin context. The study examined the prevalence of fatigue while driving among two-wheeled vehicle drivers and the related factors. It's a secondary baseline data analysis from a cohort of road crash victims recruited from five hospitals in Benin. Data were collected from July 2019 to January 2020. Patients who identified themselves as drivers during the accident were included. data on individual characteristics, including fatigue status in the moments preceding the collision, and other risk factors and environmental settings, were extracted. We used multivariate logistic regression. Among the respondents, 12.20% (95% CI=10.20‑14.53) reported fatigue in the moments preceding the collision. The odds of fatigue while driving were significantly higher in male drivers (aOR=3.60; 95% CI=1.08‑11.98), during professional trips (aOR=2.09; 95% CI=1.30‑3.37), in non‑helmet wearers (aOR=1.85; 95% CI=1.09‑3.13), in users of stimulants (aOR=3.13; 95% CI=1.50‑6.54), in those with a history of chronic diseases (aOR=1.95; 95% CI=1.16‑3.27), at dusk (aOR=4.22; 95% CI=2.22‑8.02), at night (aOR=6.90; 95% CI=3.95‑12.05), and on Inter‑State National Roads (aOR=2.01;95% CI=1.18‑3.43). Fatigue is a risk factor for road crashes in Benin, associated with other risk factors that highlight particularly vulnerable profiles and groups. Integrating prevention policies based on these cumulative risk factors will result in efficiency improvements.

Publisher

AOSIS

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3