• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

十年来机动 2-3 轮车死亡率:全球研究。

Motorized 2-3 wheelers death rates over a decade: a global study.

机构信息

Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates.

Department of Environmental Health and Behavioral Sciences, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.

出版信息

World J Emerg Surg. 2022 Jan 26;17(1):7. doi: 10.1186/s13017-022-00412-4.

DOI:10.1186/s13017-022-00412-4
PMID:35081985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8791086/
Abstract

BACKGROUND

Motorized 2-3-wheelers-related death is high due to the exposed body of the driver/passenger and the high speed. The United Nation (UN) Decade of Action for road safety aimed to reduce road traffic deaths by 50% by the year 2020. We aimed to study the factors affecting the death rates of motorized 2-3 wheelers injured victims and whether the reduction in the death rates has met the UN target.

METHODS

Data were retrieved from the WHO Global Status Reports on Road Safety published over 2009 to 2018 which covered the years of 2007 to 2016. Studied variables included motorized 2-3 wheelers death rates, percentage of helmet-wearing rate, helmet law enforcement, speed law enforcement, gross national income per capita, vehicles/person ratio, and motorized 2-3 wheelers/person ratio. A mixed linear model was used to define factors affecting the change of motorized 2-3 wheelers death rates over time.

RESULTS

The global mean motorized 2-3 wheelers death rates increased from 2.37/100,000 population to 3.23/100,000 population over the studied decade (a relative ratio of 1.36) which was not statistically significant. Factors that affected mortality included GNI (p = 0.025), motorized 2-3 wheelers per person ratio (p < 0.0001), percentage of helmet wearing rate (p = 0.046), and the interaction between vehicle/person ratio and motorized 2-3 wheelers/person ratio (p = 0.016). There was a significant increase in the death rates over time in the low-income countries (a relative ratio of 2.52, p = 0.019, Friedman test), and middle-income countries (a relative ratio of 1.46, p < 0.0001, Friedman test), compared with a significant decrease in the high-income countries (a relative ratio of 0.72, p < 0.0001, Friedman test).

CONCLUSIONS

Global mortality of motorized 2-3 wheelers has increased by a relative ratio of 1.36 over a recent decade. The UN target of reducing death was not met. The increase was related to the increase in motorized 2-3 wheelers per person ratio and economic inequity which has to be addressed globally. The economic global gap significantly impacts the mortality rates of motorized 2-3 wheelers.

摘要

背景

由于驾驶员/乘客身体暴露在外且速度较快,因此与机动 2-3 轮车相关的死亡人数居高不下。联合国(UN)道路安全行动十年旨在到 2020 年将道路交通死亡人数减少 50%。我们旨在研究影响机动 2-3 轮车受伤者死亡率的因素,以及死亡率的降低是否达到了联合国的目标。

方法

从世界卫生组织(WHO)2009 年至 2018 年发布的全球道路安全状况报告中检索数据,涵盖了 2007 年至 2016 年的数据。研究变量包括机动 2-3 轮车死亡率、头盔佩戴率、头盔执法、速度执法、人均国民总收入、车辆/人口比以及机动 2-3 轮车/人口比。使用混合线性模型来确定影响机动 2-3 轮车死亡率随时间变化的因素。

结果

在研究的十年中,全球机动 2-3 轮车死亡率从 2.37/100,000 人增加到 3.23/100,000 人(相对比率为 1.36),但无统计学意义。影响死亡率的因素包括国民总收入(p=0.025)、机动 2-3 轮车人均比例(p<0.0001)、头盔佩戴率(p=0.046)以及车辆/人口比与机动 2-3 轮车/人口比之间的相互作用(p=0.016)。低收入国家(相对比率为 2.52,p=0.019,弗里德曼检验)和中等收入国家(相对比率为 1.46,p<0.0001,弗里德曼检验)的死亡率随着时间的推移显著增加,而高收入国家的死亡率则显著下降(相对比率为 0.72,p<0.0001,弗里德曼检验)。

结论

在最近十年中,全球机动 2-3 轮车的死亡率增加了相对比率 1.36。联合国降低死亡率的目标没有实现。这种增加与机动 2-3 轮车人均比例的增加以及经济不平等有关,这需要在全球范围内加以解决。经济全球差距对机动 2-3 轮车的死亡率有重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/ec8b7d956a0a/13017_2022_412_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/b0eb13c04ffa/13017_2022_412_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/ca08d90046f5/13017_2022_412_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/3003b182dd97/13017_2022_412_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/1e2d0504d123/13017_2022_412_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/cf570b5ca19d/13017_2022_412_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/ec8b7d956a0a/13017_2022_412_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/b0eb13c04ffa/13017_2022_412_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/ca08d90046f5/13017_2022_412_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/3003b182dd97/13017_2022_412_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/1e2d0504d123/13017_2022_412_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/cf570b5ca19d/13017_2022_412_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1815/8793232/ec8b7d956a0a/13017_2022_412_Fig6_HTML.jpg

相似文献

1
Motorized 2-3 wheelers death rates over a decade: a global study.十年来机动 2-3 轮车死亡率:全球研究。
World J Emerg Surg. 2022 Jan 26;17(1):7. doi: 10.1186/s13017-022-00412-4.
2
Does wearing helmets reduce motorcycle-related death? A global evaluation.戴头盔是否能降低与摩托车相关的死亡率?全球评估。
Accid Anal Prev. 2012 Nov;49:249-52. doi: 10.1016/j.aap.2011.09.033. Epub 2011 Nov 16.
3
Reduction of pedestrian death rates: a missed global target.降低行人死亡率:一个被忽视的全球目标。
World J Emerg Surg. 2020 May 19;15(1):35. doi: 10.1186/s13017-020-00315-2.
4
Pedestrian injuries-related deaths: a global evaluation.行人受伤相关死亡:一项全球评估。
World J Surg. 2015 Mar;39(3):776-81. doi: 10.1007/s00268-014-2853-z.
5
Characteristics associated with alcohol consumption among emergency department patients presenting with road traffic injuries in Hyderabad, India.印度海得拉巴市因道路交通伤前往急诊科就诊患者的饮酒相关特征。
Injury. 2016 Jan;47(1):160-5. doi: 10.1016/j.injury.2015.07.022. Epub 2015 Jul 30.
6
Patterns of injury among motorized two-wheeler pillion riders in New Delhi, India.印度新德里机动两轮车后座乘客的受伤模式。
J Surg Res. 2016 Sep;205(1):142-6. doi: 10.1016/j.jss.2016.06.033. Epub 2016 Jun 17.
7
An insight of World Health Organization (WHO) accident database by cluster analysis with self-organizing map (SOM).通过自组织映射(SOM)聚类分析洞察世界卫生组织(WHO)事故数据库。
Traffic Inj Prev. 2018 Feb 28;19(sup1):S15-S20. doi: 10.1080/15389588.2017.1370089.
8
Cross-sectional study of road accidents and related law enforcement efficiency for 10 countries: A gap coherence analysis.10个国家道路交通事故及相关执法效率的横断面研究:差距一致性分析
Traffic Inj Prev. 2016 Oct 2;17(7):686-91. doi: 10.1080/15389588.2016.1146823. Epub 2016 Feb 18.
9
Road safety in the Eastern Mediterranean Region--findings from the Global Road Safety Status Report.东地中海区域道路安全状况--全球道路安全状况报告的调查结果。
East Mediterr Health J. 2011 Oct;17(10):770-6. doi: 10.26719/2011.17.10.770.
10
Differences in outcomes of mandatory motorcycle helmet legislation by country income level: A systematic review and meta-analysis.按国家收入水平划分的强制性摩托车头盔立法效果差异:系统评价和荟萃分析。
PLoS Med. 2021 Sep 17;18(9):e1003795. doi: 10.1371/journal.pmed.1003795. eCollection 2021 Sep.

引用本文的文献

1
Impact on outcomes of a personalized educational intervention for surgeons in the management of open tibial fractures in Latin America: a before-and-after study in three low- and middle-income countries.个性化教育干预对拉丁美洲外科医生处理开放性胫骨骨折治疗效果的影响:三个低收入和中等收入国家的一项前后对照研究
Eur J Orthop Surg Traumatol. 2025 Mar 5;35(1):92. doi: 10.1007/s00590-024-04172-6.
2
Prevalence of cell phone use while driving in different urban settings. A roadside observational study in maputo city, Mozambique.在不同城市环境中驾车时使用手机的情况。莫桑比克马普托市的一项路边观察性研究。
Heliyon. 2025 Jan 16;11(2):e42047. doi: 10.1016/j.heliyon.2025.e42047. eCollection 2025 Jan 30.
3

本文引用的文献

1
Impact of the COVID-19 Pandemic on road traffic collision injury patterns and severity in Al-Ain City, United Arab Emirates.COVID-19 大流行对阿联酋艾因市道路交通碰撞伤害模式和严重程度的影响。
World J Emerg Surg. 2021 Nov 19;16(1):57. doi: 10.1186/s13017-021-00401-z.
2
Risky motorcycle riding behaviour among young riders in Manipal, India.印度曼尼帕尔的年轻骑手危险的摩托车骑行行为。
BMC Public Health. 2021 Oct 28;21(1):1954. doi: 10.1186/s12889-021-11899-y.
3
Global impact of COVID-19 pandemic on road traffic collisions.全球 COVID-19 大流行对道路交通碰撞的影响。
Comparison of the diagnostic accuracy of CT scan with oral and intravenous contrast versus CT scan with intravenous contrast alone in the diagnosis of blunt abdominal trauma.
CT 扫描与口服和静脉对比剂在诊断钝性腹部创伤中的诊断准确性比较与 CT 扫描与静脉对比剂单独在诊断钝性腹部创伤中的诊断准确性比较。
Chin J Traumatol. 2023 May;26(3):174-177. doi: 10.1016/j.cjtee.2022.12.006. Epub 2022 Dec 16.
4
Reduction of motorcycle-related deaths over 15 years in a developing country.减少发展中国家 15 年来与摩托车相关的死亡人数。
World J Emerg Surg. 2022 Apr 29;17(1):21. doi: 10.1186/s13017-022-00426-y.
World J Emerg Surg. 2021 Sep 28;16(1):51. doi: 10.1186/s13017-021-00395-8.
4
The sources of the Kuznets relationship between the road deaths to road injuries ratio and economic growth.道路死亡与道路伤害比例与经济增长之间的库兹涅茨关系的来源。
J Safety Res. 2021 Sep;78:262-269. doi: 10.1016/j.jsr.2021.06.007. Epub 2021 Jun 30.
5
Saving lives through vehicle safety.通过车辆安全拯救生命。
Lancet Glob Health. 2020 Jun;8(6):e746-e747. doi: 10.1016/S2214-109X(20)30189-3.
6
Morbidity and mortality from road injuries: results from the Global Burden of Disease Study 2017.道路伤害所致发病率和死亡率:2017 年全球疾病负担研究结果。
Inj Prev. 2020 Oct;26(Supp 1):i46-i56. doi: 10.1136/injuryprev-2019-043302. Epub 2020 Jan 8.
7
How much would low- and middle-income countries benefit from addressing the key risk factors of road traffic injuries?中低收入国家在解决道路交通伤害的主要风险因素方面将获益多少?
Int J Inj Contr Saf Promot. 2020 Mar;27(1):83-90. doi: 10.1080/17457300.2019.1708411. Epub 2020 Jan 7.
8
Forecasting global road traffic injury mortality for 2030.预测 2030 年全球道路交通伤害死亡率。
Inj Prev. 2020 Aug;26(4):339-343. doi: 10.1136/injuryprev-2019-043336. Epub 2019 Aug 8.
9
Looking back on 10 years of global road safety.回首全球道路安全十年历程。
Int Health. 2019 Sep 2;11(5):327-330. doi: 10.1093/inthealth/ihz042.
10
An insight of World Health Organization (WHO) accident database by cluster analysis with self-organizing map (SOM).通过自组织映射(SOM)聚类分析洞察世界卫生组织(WHO)事故数据库。
Traffic Inj Prev. 2018 Feb 28;19(sup1):S15-S20. doi: 10.1080/15389588.2017.1370089.