Risk factors of electric bicycle road-traffic injuries: a case-control study
10.19485/j.cnki.issn2096-5087.2022.10.004
- Author:
Lei CHEN
;
Yuanying LU
;
Xiao ZHANG
- Publication Type:Journal Article
- Keywords:
electric bicycle；road traffic injury；case-control study；risk factor
- From:
Journal of Preventive Medicine
2022;34(10):990-995
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the risk factors of road traffic injuries caused by electric bicycles, so as to provide insights into the prevention and control of road traffic injuries.
Methods:A case-control study was performed (cases to controls ratio of 1∶2). The riders of electric bicycles with road-traffic injuries in Songjiang District, Shanghai Municipality during the period between June 2020 and May 2021 were included in the case group, and age-, gender- and occupation-matched riders of electric bicycles without road-traffic injuries in the same study area during the same study period served as controls. Participants' demographic data, living habits, health status, awareness of safe riding and riding behaviors were collected using questionnaire surveys, and the risk factors of road-traffic injuries caused by electric bicycles were identified using a multivariable conditional logistic regression model.
Results:There were 167 participants in the case group, including 122 men (73.05%) and with an age of 38 (21) years, and 334 participants in the control group, including 244 men (73.05%) and with an age of 32 (18) years. Multivariable conditional logistic regression analysis identified sleep duration of less than 8 h (OR=1.760, 95%CI: 1.111-2.786), occasional/frequent anxiety (OR=5.140, 95%CI: 1.067-24.750), unawareness of riding speed limit of 25 km/h (OR=2.352, 95%CI: 1.460-3.788), having been warned or punished for violating traffic rules (OR=2.246, 95%CI: 1.243-4.060), running a red light (OR=1.725, 95%CI: 1.043-2.852), riding speed of ≥ 30 km/h (sometimes, OR=2.409, 95%CI: 1.475-3.933; often, OR=4.711, 95%CI: 2.153-10.309) as risk factors of electric bicycle road-traffic injuries.
Conclusions:Electric bicycle road-traffic injuries is associated with sleep duration, anxiety, awareness of traffic rules, and unsafe riding behaviors. Traffic safety education and law enforcement is required to be reinforced among riders of electric bicycles.
- Full text:电动自行车道路交通伤害危险因素的病例对照研究.pdf
