{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T03:45:11Z","timestamp":1793677511316,"version":"4.5.1"},"reference-count":35,"publisher":"American Medical Association (AMA)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n Micromobility, the use of small vehicles (primarily scooters and bicycles), has become a standard transportation method in the US. Despite broad adoption of electric micromobility vehicles, there is a paucity of data regarding the injury profiles of these vehicles, particularly in the US.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To characterize micromobility injury trends in the US, identify demographic characteristic differences in users of electric and conventional vehicles, and identify factors associated with hospitalization.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n This cross-sectional study queried the National Electronic Injury Surveillance System, a comprehensive database that collates injury data associated with consumer products from emergency departments across the US to provide national estimates, from calendar year 2017 to 2022. Data on micromobility vehicle injuries (bicycles, scooters, electric bicycles [e-bicycles], and electric scooters [e-scooters]) were obtained.<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n Trends in injury and hospitalization counts, injury characteristics, and factors associated with hospitalization.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n From 2017 to 2022, the US recorded 2\u202f499\u202f843 bicycle (95% CI, 1\u202f948\u202f539-3 051 147), 304\u202f783 scooter (95% CI, 232\u202f466-377 099), 45\u202f586 e-bicycle (95% CI, 17\u202f684-73 488), and 189\u202f517 e-scooter (95% CI, 126\u202f101-252 932) injuries. The median age of the riders was 28 (IQR, 12-51) years; 72% were male, 1.5% Asian, 13% Black, 12% Hispanic, and 49% White. Annual e-bicycle and e-scooter injuries increased from 751 (95% CI, 0-1586) to 23\u202f493 (95% CI, 11\u202f043-35 944) and injuries increased from 8566 (95% CI, 5522-11 611) to 56\u202f847 (95% CI, 39\u202f673-74 022). Compared with conventional vehicles, electric vehicle accidents involved older individuals (median age, 31 vs 27 years;\n P<\/jats:italic>\n \u2009&amp;lt;\u2009.001) and a higher proportion of Black riders (25% vs 12%;\n P<\/jats:italic>\n \u2009&amp;lt;\u2009.001). Helmet use was less in electric vehicle incidents compared with conventional vehicles (43% vs 52%;\n P<\/jats:italic>\n \u2009=\u2009.02), and injuries were more common in urban settings (83% vs 71%;\n P<\/jats:italic>\n \u2009=\u2009.008). Age-adjusted odds of hospitalization among all Black individuals compared with White individuals was 0.76 (95% CI, 0.59-0.98;\n P<\/jats:italic>\n \u2009=\u2009.04).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n In this cross-sectional study of micromobility vehicles, an increased number of injuries and hospitalizations was observed with electric vehicles compared with conventional vehicles from 2017 to 2022. These findings suggest the need for change in educational policies, infrastructure, and law to recenter on safety with the use of micromobility vehicles.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.24131","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T13:27:14Z","timestamp":1721741234000},"page":"e2424131","source":"Crossref","is-referenced-by-count":54,"title":["Injuries With Electric vs Conventional Scooters and Bicycles"],"prefix":"10.1001","volume":"7","author":[{"given":"Adrian N.","family":"Fernandez","sequence":"first","affiliation":[{"name":"Department of Urology, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin D.","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, San Francisco"},{"name":"Department of Epidemiology and Biostatistics, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiren V.","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabel Elaine","family":"Allen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umar","family":"Ghaffar","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nizar","family":"Hakam","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin N.","family":"Breyer","sequence":"additional","affiliation":[{"name":"Department 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