加纳阿克拉道路交通事故受害者中摩托车事故发生率及相关因素。

Victoria A F Luther, Delia Ab Bandoh, Adolphina A Addo-Lartey
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引用次数: 0

摘要

目的:本研究确定了加纳阿克拉摩托车事故的发生率和相关危险因素。设计:横断面。环境:列贡医院、五旬节医院、麦地那医院和凯克勒医院,阿克拉汽车运输和交通股办事处,以及坎内什地区法院。数据采用结构化问卷收集。参与者:道路交通事故受害者(387人),年龄在15岁及以上,从卫生机构的登记册中随机抽取并进行访谈。主要衡量指标:涉及摩托车的道路交通事故数目。结果:摩托车事故在道路交通事故中的发生率为37% [95% CI: 32.0-42.0]。摩托车事故主要发生在15-25岁和26-35岁的人群中。男性患病率为38%,女性为24% [95% CI: 85.0-91.0]。每月收入< GH美分/ 349美分(22.37美元)的人与收入高于GH美分/ 3000美分(192.31美元)的人相比,摩托车事故发生率更高(63% vs 10%)。在调整了所有在单变量水平上显示相关的因素和潜在混杂因素(如性别)后,进行后估计分析和Hosmer-Lemeshow拟合优度检验,与摩托车事故显著相关的因素包括所有权[AOR:2.32, p=0.018 95%CI: 1.16-4.65]、教育程度[AOR=1.48, p=0.020 95%CI: 1.06-2.05]、驾驶执照[AOR=132.74, p]。摩托车事故仍然普遍存在,并且与收入水平、所有权水平、教育水平和持有机动车执照显著相关。为了减少摩托车事故,各国政府必须实施针对这些因素的政策,并支持更安全的道路做法。资金:未宣布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of motorcycle accidents and associated factors among road traffic accident victims in Accra, Ghana.

Objectives: This study determined the prevalence of motorcycle accidents and associated risk factors in Accra, Ghana.

Design: Cross-sectional.

Setting: Legon, Pentecost, Madina, and Kekele hospitals, Motor Transport and Traffic Unit offices in Accra, and Kaneshie District Court. Data were collected using structured questionnaires.

Participants: Road traffic accident victims (387), aged 15 years and above, were randomly selected from health facilities' registers and interviewed.

Main outcome measure: Number of road traffic accidents involving motorcycles.

Results: The prevalence of motorcycle accidents among road traffic accidents was 37% [95% CI: 32.0-42.0]. Motorcycle accidents predominantly occurred among people aged 15-25 and 26-35 years. The prevalence among men was 38% while women reported 24% [95% CI: 85.0-91.0]. Motorcycle accident occurrence was higher (63% vs 10%) among those earning < GH₵349 ($22.37) a month compared to those earning above GH₵3000 ($192.31). After adjusting for all the factors that showed association at the univariate level and potential confounders like sex, followed by post-estimation analysis and a Hosmer-Lemeshow goodness of fit test, factors that were significantly associated with motorcycle accidents included ownership [AOR:2.32, p=0.018 95%CI: 1.16-4.65], education level [AOR=1.48, p=0.020 95%CI: 1.06-2.05], motor license [AOR=132.74, p<0.001 95%CI: 17.56-1003.62], and income level [AOR=0.65, p=0.002 95%CI: 0.50-0.85].

Conclusion: Motorcycle accidents remain prevalent and significantly related to income level, ownership level, education level, and having a motor license. To reduce motorcycle accidents, governments must implement policies that address these factors and support safer road practices.

Funding: None declared.

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