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与大学社区中严重摩托车事故伤害相关的环境因素:台湾的一项多中心研究。

Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan.

机构信息

School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.

Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan.

出版信息

Int J Environ Res Public Health. 2022 Aug 18;19(16):10274. doi: 10.3390/ijerph191610274.

DOI:10.3390/ijerph191610274
PMID:36011909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9407754/
Abstract

University neighborhoods in Taiwan have high-volume traffic, which may increase motorcyclists' risk of injury. However, few studies have analyzed the environmental factors affecting motorcycle crash injury severity in university neighborhoods. In this multicenter cross-sectional study, we explored the factors that increase the severity of such injuries, especially among young adults. We retrospectively connected hospital data to the Police Traffic Accident Dataset. Areas within 500 m of a university were considered university neighborhoods. We analyzed 4751 patients, including 513 with severe injury (injury severity score ≥ 8). Multivariate analysis revealed that female sex, age ≥ 45 years, drunk driving, early morning driving, flashing signals, and single-motorcycle crashes were risk factors for severe injury. Among patients aged 18-24 years, female sex, late-night and afternoon driving, and flashing signals were risk factors. Adverse weather did not increase the risk. Time to hospital was a protective factor, reflecting the effectiveness of urban emergency medical services. Lifestyle habits among young adults, such as drunk driving incidents and afternoon and late-night driving, were also explored. We discovered that understanding chaotic traffic in the early morning, flashing signals at the intersections, and roadside obstacles is key for mitigating injury severity from motorcycle crashes in university neighborhoods.

摘要

台湾的大学校园周边地区交通流量大,这可能增加了摩托车骑手受伤的风险。然而,很少有研究分析过影响大学校园周边地区摩托车事故伤害严重程度的环境因素。在这项多中心横断面研究中,我们探讨了增加此类伤害严重程度的因素,尤其是在年轻人中。我们回顾性地将医院数据与警察交通事故数据集联系起来。距离大学 500 米以内的区域被视为大学校园周边地区。我们分析了 4751 名患者,其中 513 名患者伤势严重(损伤严重程度评分≥8)。多变量分析显示,女性、年龄≥45 岁、酒后驾车、清晨驾车、闪光信号和单辆摩托车事故是严重受伤的危险因素。在 18-24 岁的患者中,女性、深夜和下午驾车以及闪光信号是危险因素。恶劣天气并没有增加风险。到医院的时间是一个保护因素,反映了城市紧急医疗服务的有效性。我们还探讨了年轻成年人的生活方式习惯,例如酒后驾车事件以及深夜和下午驾车。我们发现,了解清晨混乱的交通、十字路口的闪光信号和路边障碍物是减轻大学校园周边地区摩托车事故伤害严重程度的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/8820656fa125/ijerph-19-10274-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/b00bf5ded16f/ijerph-19-10274-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/9d64857e3816/ijerph-19-10274-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/8820656fa125/ijerph-19-10274-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/b00bf5ded16f/ijerph-19-10274-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/9d64857e3816/ijerph-19-10274-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8f/9407754/8820656fa125/ijerph-19-10274-g003.jpg

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Factors associated with the severity of road traffic injuries from emergency department based surveillance system in two Mexican cities.基于急诊监测系统的墨西哥两个城市道路交通事故伤害严重程度的相关因素。
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城乡碰撞对摩托车手伤害严重程度影响的实证比较:一种带有均值异质性的相关随机参数有序概率比方法。
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