Kathryn G. Burford is with the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY. Nicole G. Itzkowitz and Andrew G. Rundle are with the Department of Epidemiology, Mailman School of Public Health, Columbia University. Charles DiMaggio is with the Department of Surgery, NYU Grossman School of Medicine, New York, NY. Stephen J. Mooney is with the Department of Epidemiology, School of Public Health, University of Washington, Seattle.
Am J Public Health. 2024 Dec;114(12):1365-1374. doi: 10.2105/AJPH.2024.307820. Epub 2024 Sep 12.
To describe the national burden of injuries associated with e-bikes, bicycles, hoverboards, and powered scooters (micromobility devices) in the United States. We compared patterns and trends for 1 933 296 estimated injuries associated with micromobility devices from 2019 to 2022 using National Electronic Injury Surveillance System data. The population-based rates of e-bike and powered scooter injuries increased by 293.0% and 88.0%, respectively. When reported, powered scooter injuries had the highest proportion for alcohol use (9.0%) compared with other modes, whereas e-bike injuries had the highest proportion for motor vehicle involvement (35.4%). Internal injuries were more likely among e-bike diagnoses than hoverboard and bicycle ( < .05), but fractures and concussions were more likely among hoverboard diagnoses compared with all other devices ( < .05). When helmet use was identified in clinical notes (20.3%), helmet usage was higher among e-bike injuries (43.8%) compared with powered scooter (34.8%) and hoverboard (30.3%) injuries but lower compared with bicycle injuries (48.7%). The incidence of severe e-bike and powered scooter injuries increased over the 4-year period. Public health stakeholders should focus on improved surveillance and prevention of injuries associated with electric micromobility devices. (. 2024;114(12):1365-1374. https://doi.org/10.2105/AJPH.2024.307820).
描述美国与电动自行车、自行车、 hoverboards 和电动滑板车(微移动设备)相关的伤害的国家负担。我们使用国家电子伤害监测系统数据比较了 2019 年至 2022 年与微移动设备相关的 1933296 例估计伤害的模式和趋势。电动自行车和电动滑板车伤害的基于人口的发生率分别增加了 293.0%和 88.0%。报告显示,与其他模式相比,电动滑板车伤害中酒精使用的比例最高(9.0%),而电动自行车伤害中涉及机动车的比例最高(35.4%)。与 hoverboard 和自行车(<0.05)相比,电动自行车诊断中更有可能出现内部损伤,但与所有其他设备(<0.05)相比,hoverboard 诊断中更有可能出现骨折和脑震荡。当在临床记录中识别到头盔使用情况(20.3%)时,电动自行车损伤(43.8%)中的头盔使用率高于电动滑板车(34.8%)和 hoverboard(30.3%)损伤,但低于自行车损伤(48.7%)。在 4 年期间,严重电动自行车和电动滑板车伤害的发生率有所增加。公共卫生利益相关者应关注电动微移动设备相关伤害的改进监测和预防。(。2024;114(12):1365-1374. https://doi.org/10.2105/AJPH.2024.307820)。