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KMID : 1144620220350010003
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Journal of Trauma and Injury
2022 Volume.35 No. 1 p.3 ~ p.11
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Characteristics of injuries associated with electric personal mobility devices: a nationwide cross-sectional study in South Korea
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Kim Ma-Ro
Suh Dong-Bum
Lee Jin-Hee
Kwon Hyuk-Sool
Choi Yu-Jin
Jeong Joo
Kim Sol-A
Hwang So-Yun
Park Joong-Wan
Jo You-Hwan
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Abstract
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Purpose: The increasing use of electric personal mobility devices (ePMDs) has been accompanied by an increasing incidence of associated accidents. This study aimed to investigate the characteristics of ePMD-related injuries and their associated factors.
Methods: This cross-sectional study was conducted using data from the Emergency Department-based Injury In-depth Surveillance database from 2014 to 2018. All patients who were injured while operating an ePMD were eligible. The primary outcome was the rate of severe injury, defined as an excess mortality ratio-adjusted Injury Severity Score of ≥25. We calculated the adjusted odds ratios (AORs) of outcomes associated with ePMD-related injuries.
Results: Of 1,391,980 injured patients, 684 (0.05%) were eligible for inclusion in this study. Their median age was 28 years old, and most injuries were sustained by men (68.0%). The rate of ePMD-related injuries increased from 3.1 injuries per 100,000 population in 2014 to 100.3 per 100,000 population in 2018. A majority of the injuries occurred on the street (32.7%). The most commonly injured area was the head and face (49.6%), and the most common diagnosis was superficial injuries or contusions (32.9%). Being aged 55 years or older (AOR, 3.88; 95% confidence interval, 1.33?11.36) and operating an ePMD while intoxicated (AOR, 2.78; 95% confidence interval, 1.52?5.08) were associated with severe injuries.
Conclusions: The number of emergency room visits due to ePMD-related injuries is increasing. Old age and drunk driving are both associated with serious injuries. Active traffic enforcement and safety regulations regarding ePMDs should be implemented to prevent severe injuries caused by ePMD-related accidents.
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KEYWORD
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Injury Severity Score, Accidents, Traumatic brain injuries, Epidemiology, Wounds and injuries
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