Road Traffic Injuries among Riders of Electric Bike/Electric Moped in Southern China.
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Abstract |
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Objective Electric bike/moped-related road traffic injuries have become a burgeoning public health problem in China. The objective of this study was to identify the prevalence and potential risk factors of electric bike/moped -related road traffic injuries among electric bike/moped riders in southern China. Methods A cross-sectional study was used to interview 3,151 electric bike/moped riders in southern China. Electric bike/moped-related road traffic injuries that occurred from July 2014 to June 2015 were investigated. Data were collected by face-to-face interviews and analyzed between July 2015 and June 2017. Results The prevalence of electric bike/moped-related road traffic injuries among the investigated riders was 15.99%. Electric bike/moped-related road traffic injuries were significantly associated with category of electric bike (adjusted odds ratio [AOR] = 1.36, 95% confidence interval [CI], 1.01-1.82), self-reported confusion (AOR = 1.77, 95% CI, 1.13-2.78), history of crashes (AOR = 6.14, 95% CI, 4.68-8.07), running red lights (AOR = 3.57, 95% CI, 2.42-5.25), carrying children during riding (AOR = 1.96, 95% CI, 1.37-2.85), carrying adults during riding (AOR = 1.68, 95% CI, 1.23-2.28), riding in the motor lane (AOR = 2.42, 95% CI, 1.05-3.93), and riding in the wrong traffic direction (AOR = 1.63, 95% CI, 1.13-2.35). In over 77.58% of electric bike/moped-related road traffic crashes, riders were determined by the police to be responsible for the crash. Major crash-causing factors included violating traffic signals or signs, careless riding, speeding, and riding in the wrong lane. Conclusion Traffic safety related to electric bikes/moped is becoming more problematic with growing popularity compared with other two wheeled vehicles. Programs need to be developed to prevent electric bike/mopedrelated road traffic injuries in this emerging country. |
Year of Publication |
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2018
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Journal |
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Traffic injury prevention
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Number of Pages |
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0
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Date Published |
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2018
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ISSN Number |
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1538-9588
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DOI |
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10.1080/15389588.2018.1423681
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Short Title |
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Traffic Inj Prev
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