Suppr超能文献

印度一个工业城镇道路交通事故所致非致命伤害概况。

Profile of non-fatal injuries due to road traffic accidents from a industrial town in India.

作者信息

Bayan Pankaj, Bhawalkar J S, Jadhav S L, Banerjee Amitav

机构信息

Department of Community Medicine, D Y Patil Medical College, Pune - 411018, India.

出版信息

Int J Crit Illn Inj Sci. 2013 Jan;3(1):8-11. doi: 10.4103/2229-5151.109409.

Abstract

BACKGROUND

India has one of the highest road traffic accident rates in the world. To lessen this burden, information on the contributing factors is necessary.

MATERIALS AND METHODS

We studied a series of cases of non-fatal road traffic accidents in two tertiary care hospitals in Pimpri, Pune, India. A total of 212 non-fatal road traffic accidents admitted over a period of one year in these two hospitals constituted the study sample. The study variables were, the gender of the accident victims, mode of accident, days of week on which the accident took place, time of day when the injury was sustained, part of the body injured, nature of injury, and self-reported reasons for the accident.

STATISTICAL ANALYSIS

data were summarized using percentages. The Chi-square test for goodness of fit was applied, to see whether there was any association between the different weekdays or time of day and the accidents.

RESULTS

MALE : female ratio was almost 5 : 1, which was statistically significant (Chi-Square for goodness of fit = 95.11, df = 1, P < 0.0001). The maximum accidents occurred on Sundays and Mondays and the least around midweek (Wednesday). This pattern was also statistically significant (Chi-square for goodness of fit = 30.09, df = 6, P < 0.001). Pedestrians were the most vulnerable group, followed by drivers and pillions of two wheelers. These categories of road users contributed to almost 80% of the cases of Road Traffic Injuries (RTIs). Accidents were more likely in the time zone of 8 pm to midnight, followed by 4 pm to 8 pm (Chi-square for goodness of fit = 89.58, df = 5, P < 0.0001). A majority of the patients sustained multiple injuries followed by injuries to the lower limbs. A majority reported impaired visibility and fatigue as the cause of accident. Almost half (46.22%) of the injured admitted to drinking alcohol on a regular basis.

CONCLUSION

Wide pavements and safe zebra crossings should be provided for pedestrians, as the highest casualty in this study were pedestrians. More accidents occurred on Sundays and Mondays and in the late evenings. Extra supervision by traffic police may be considered on Sundays / Holidays and the day following. Roads should be well lit to improve visibility after sunset.

摘要

背景

印度是世界上道路交通事故发生率最高的国家之一。为减轻这一负担,有必要了解促成事故的因素。

材料与方法

我们研究了印度浦那皮姆普里的两家三级护理医院收治的一系列非致命道路交通事故病例。这两家医院在一年时间里收治的总共212起非致命道路交通事故构成了研究样本。研究变量包括事故受害者的性别、事故方式、事故发生的星期几、受伤时间、受伤身体部位、损伤性质以及自我报告的事故原因。

统计分析

数据以百分比形式汇总。应用拟合优度卡方检验,以查看不同工作日或一天中的不同时间与事故之间是否存在关联。

结果

男性与女性的比例约为5:1,具有统计学意义(拟合优度卡方值=95.11,自由度=1,P<0.0001)。事故发生率最高的是周日和周一,而在一周中间(周三)左右最少。这种模式也具有统计学意义(拟合优度卡方值=30.09,自由度=6,P<0.001)。行人是最易受伤害的群体,其次是司机和两轮摩托车后座乘客。这些道路使用者类别占道路交通伤害(RTIs)病例的近80%。事故在晚上8点至午夜时段更有可能发生,其次是下午4点至8点(拟合优度卡方值=89.58,自由度=5,P<0.0001)。大多数患者受多处伤,其次是下肢受伤。大多数人报告事故原因是能见度受损和疲劳。近一半(46.22%)的伤者承认经常饮酒。

结论

应为行人提供宽阔的人行道和安全的斑马线,因为本研究中伤亡人数最多的是行人。周日和周一以及傍晚发生的事故更多。可考虑在周日/节假日及次日由交警进行额外监管。道路应安装良好照明设施,以改善日落后的能见度。

相似文献

2
Pattern and Cause of Road Traffic Accidents in Morang District.莫朗地区道路交通事故事故模式和原因。
J Nepal Health Res Counc. 2021 Apr 23;19(1):87-90. doi: 10.33314/jnhrc.v19i1.2750.

引用本文的文献

本文引用的文献

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