Literature DB >> 24867564

Characteristics of 1226 alcohol-positive drivers involved in nonfatal traffic crashes in Shanghai, China.

Yingying Sun1, Zhibin Huang, Ziqin Zhao, Yan Jiang, Yonghong Ye, Tianfang Yu, Yulan Rao.   

Abstract

OBJECTIVE: The purpose of our study was to better characterize and evaluate drunk driving for governmental reference in order to further reduce alcohol-impaired driving.
METHOD: This article reports the characteristics of 1226 alcohol-positive drivers with blood alcohol concentrations (BACs) at or over the legal limit of 0.20 mg/mL involved in nonfatal traffic accidents in Shanghai, China, from 2008 to 2011. The mean BAC, age, and gender of these drivers are discussed as well as the vehicle types and times of day when the crashes occurred.
RESULTS: The mean BAC was 1.41 mg/mL and the mean age was 38 years old, and the vast majority of drivers were male (96.9%). The mean BAC of male drivers (1.42 mg/mL) was higher than that of female drivers (1.20 mg/mL). The mean age of male drivers (38) was also higher than that of female drivers (33). Distributions of vehicle types involved were studied. Cars had the highest percentage of occurrences (56.4%), followed by motorcycles (32.8%), electric bicycles (6.8%), trucks (1.5%), and bicycles (0.8%). It was found that these alcohol-related traffic crashes most often occurred between 7:00 p.m. and 10:59 p.m., representing 48.1 percent (n = 590) of the 1226 cases. Single-vehicle crashes were overrepresented (70.3%) in all cases. The mean BAC in multivehicle crashes (1.69 mg/mL) was higher than that in single-vehicle crashes (1.30 mg/mL).
CONCLUSIONS: The results indicated a notable need for more governmental attention that would prevent accidents caused by driving under the influence of alcohol.

Entities:  

Keywords:  drivers; driving under the influence of alcohol; nonfatal traffic accidents

Mesh:

Substances:

Year:  2014        PMID: 24867564     DOI: 10.1080/15389588.2013.850162

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  1 in total

1.  Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016.

Authors:  Guofa Li; Yuan Liao; Qiangqiang Guo; Caixiong Shen; Weijian Lai
Journal:  Int J Environ Res Public Health       Date:  2021-01-28       Impact factor: 3.390

  1 in total

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