Mesh : Humans Accidents, Traffic / statistics & numerical data Motorcycles / statistics & numerical data Bangladesh / epidemiology Female Male Adult Prevalence Risk Factors Cross-Sectional Studies Young Adult Middle Aged Adolescent Automobile Driving / statistics & numerical data Surveys and Questionnaires Head Protective Devices / statistics & numerical data

来  源:   DOI:10.1155/2024/7090576   PDF(Pubmed)

Abstract:
UNASSIGNED: A cross-sectional survey was conducted using a structured questionnaire involving 402 motorcyclists from four major southeastern towns, comprising 350 (86.07%) males and 52 (12.93%) females. The chi-square test was applied in bivariate analysis, and binary multivariable logistic regression was performed to determine the risk factors of road traffic crashes.
UNASSIGNED: This study\'s findings revealed that the overall reported prevalence of road traffic crashes involving motorcycle drivers over one year was 68.66%. Multivariable logistic regression analysis revealed several factors that significantly impacted road traffic crashes. These factors included driving without a valid driving license, the young age (<20) of motorcyclists, driving in rainy weather, exceeding the speed limit, per-week working hours, smoking status, motorcycle ownership, the brand of motorcycle, and not wearing a helmet while driving.
UNASSIGNED: The study findings highlight the need for improving motorcycle safety by implementing measures such as imposing per-week work hour limits for riders, enforcing traffic regulations, and promoting helmet use among motorcycle drivers. The results of this study draw attention to the Bangladesh Road Transport Authority (BRTA) and motorcycle drivers in the country to decrease motorcycle crashes and the severity of injuries by implementing efficient guidelines and strategies for driving motorcycles. The findings of this study can assist policymakers and concerned authorities in taking the essential steps to lessen road traffic crashes among motorcyclists in Bangladesh.
摘要:
使用结构化问卷进行了横断面调查,涉及来自东南四个主要城镇的402名摩托车手,其中男性350人(86.07%),女性52人(12.93%)。卡方检验应用于双变量分析,并进行二元多变量逻辑回归以确定道路交通事故的危险因素。
这项研究的发现表明,涉及摩托车驾驶员一年以上的道路交通事故的总体报告患病率为68.66%。多变量logistic回归分析揭示了几个显著影响道路交通事故的因素。这些因素包括没有有效驾驶执照的驾驶,摩托车手的年龄(<20岁),在雨天开车,超过速度限制,每周工作时间,吸烟状况,摩托车所有权,摩托车的品牌,开车时不戴头盔。
研究结果强调需要通过实施措施来提高摩托车安全性,例如对骑手施加每周工作时间限制,执行交通法规,并促进摩托车驾驶员使用头盔。这项研究的结果提请注意孟加拉国道路运输管理局(BRTA)和该国的摩托车驾驶员,以通过实施有效的摩托车驾驶指南和策略来减少摩托车撞车事故和伤害的严重程度。这项研究的结果可以帮助决策者和有关当局采取必要步骤,以减少孟加拉国摩托车手之间的道路交通事故。
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