Suppr超能文献

摩托车事故中头颈部损伤的特征及影响因素:泰国曼谷的一项回顾性分析

Characteristics and influencing factors of head and neck injuries in motorcycle accidents: a retrospective analysis in Bangkok, Thailand.

作者信息

Sriswadpong Papat, Janeteerawong Supanan, Saman Put, Saengdara Parnnicha, Amnuaywattana Mathavee, Srinoon Nalin, Kittithamvongs Piyabuth

机构信息

Plastic and Reconstructive Surgery Unit, Department of Surgery, Lerdsin General Hospital, Bangkok, Thailand.

Lerdsin General Hospital, College of Medicine, Rangsit University, Bangkok, Thailand.

出版信息

Arch Craniofac Surg. 2025 Apr;26(2):59-64. doi: 10.7181/acfs.2025.0003. Epub 2025 Apr 20.

Abstract

BACKGROUND

Road traffic incidents, particularly those involving motorcycles, pose a significant public health concern, especially in low-income countries. This study aims to investigate the incidence and patterns of head and neck injuries, as well as to analyze factors contributing to these injuries.

METHODS

A retrospective analysis was undertaken utilizing the medical records of motorcycle incident patients derived from the provincial injury surveillance data collected between January 1, 2021, and December 31, 2021, at a single center. The study encompasses data on age, sex, rider classification, types and quantities of alcohol ingested, helmet employment, Glasgow Coma Score, Injury Severity Score, and classifications of head and neck injuries. The incidence rate of head and neck injuries correlated with motorcycle incidents will be delineated. Subsequently, a logistic regression analysis was conducted to discern the factors associated with head injury severity.

RESULTS

The study examined motorcycle incident trauma in 1,413 patients. The incidence of head and neck injuries was 20%. Multivariable logistic regression analysis identified the age of more than 60 years, non-helmeted riding, and alcohol consumption as significant factors for head injuries, with odds ratios of 1.86, 1.76, and 4.17, respectively.

CONCLUSION

This study emphasizes the protective role of helmets in reducing head injuries and highlights potential associations between alcohol consumption and the severity of head injuries. These findings may be utilized to advocate for improvements in road safety policies and reduce healthcare costs related to motorcycle accidents.

摘要

背景

道路交通事故,尤其是涉及摩托车的事故,是一个重大的公共卫生问题,在低收入国家尤为如此。本研究旨在调查头颈部损伤的发生率和模式,并分析导致这些损伤的因素。

方法

利用来自单一中心在2021年1月1日至2021年12月31日期间收集的省级损伤监测数据中的摩托车事故患者的医疗记录进行回顾性分析。该研究涵盖了年龄、性别、骑手分类、摄入酒精的类型和数量、头盔使用情况、格拉斯哥昏迷评分、损伤严重程度评分以及头颈部损伤分类等数据。将描绘与摩托车事故相关的头颈部损伤的发生率。随后,进行逻辑回归分析以识别与头部损伤严重程度相关的因素。

结果

该研究检查了1413例摩托车事故创伤患者。头颈部损伤的发生率为20%。多变量逻辑回归分析确定年龄超过60岁、未戴头盔骑行和饮酒是头部损伤的重要因素,优势比分别为1.86、1.76和4.17。

结论

本研究强调了头盔在减少头部损伤方面的保护作用,并突出了饮酒与头部损伤严重程度之间的潜在关联。这些发现可用于倡导改善道路安全政策,并降低与摩托车事故相关的医疗成本。

相似文献

2
Helmets for preventing injury in motorcycle riders.用于预防摩托车骑手受伤的头盔。
Cochrane Database Syst Rev. 2004(2):CD004333. doi: 10.1002/14651858.CD004333.pub2.
3
Helmets for preventing injury in motorcycle riders.用于预防摩托车骑手受伤的头盔。
Cochrane Database Syst Rev. 2008 Jan 23(1):CD004333. doi: 10.1002/14651858.CD004333.pub3.

本文引用的文献

3
Do Type of Helmet and Alcohol Use Increase Facial Trauma Severity?头盔类型和饮酒会增加面部创伤的严重程度吗?
J Oral Maxillofac Surg. 2020 May;78(5):797.e1-797.e8. doi: 10.1016/j.joms.2019.12.004. Epub 2019 Dec 5.
5
Motorcycle-related hospitalizations of the elderly.老年人与摩托车相关的住院情况。
Biomed J. 2017 Apr;40(2):121-128. doi: 10.1016/j.bj.2016.10.006. Epub 2017 May 8.
6
The impact of helmet use on outcomes after a motorcycle crash.头盔使用对摩托车碰撞事故后结局的影响。
Injury. 2017 May;48(5):1093-1097. doi: 10.1016/j.injury.2017.02.006. Epub 2017 Feb 20.
8
Influence of type of helmet on facial trauma in motorcycle accidents.头盔类型对摩托车事故中面部创伤的影响。
Br J Oral Maxillofac Surg. 2014 Nov;52(9):789-92. doi: 10.1016/j.bjoms.2014.05.006. Epub 2014 Jun 23.
10
How safe is your motorcycle helmet?你的摩托车头盔有多安全?
J Oral Maxillofac Surg. 2014 Mar;72(3):542-9. doi: 10.1016/j.joms.2013.10.017. Epub 2013 Oct 31.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验