| Literature DB >> 35969397 |
August Vincent Stray1, Henrik Siverts2, Knut Melhuus2, Martine Enger2, Pål Galteland1, Ingar Næss3, Eirik Helseth3,4, Jon Ramm-Pettersen4.
Abstract
Importance: When society introduces and accepts new transportation modes, it is important to map risks and benefits. Objective: To compare electric scooter (e-scooter) and bicycle injuries. Design, Setting, and Participants: This cohort study is based on prospectively collected data on Norwegian patients who sustained e-scooter or bicycle injuries and presented to an emergency department affiliated with Oslo University Hospital between January 1, 2019, and March 31, 2020. Main Outcomes and Measures: e-Scooter and bicycle injuries were evaluated for associations with sex, age, time of injury, helmet use, intoxication, body region, and injury severity. Descriptive statistics are presented as mean (SD) or number with percentage, with significance set at P < .05 (2-tailed).Entities:
Mesh:
Year: 2022 PMID: 35969397 PMCID: PMC9379742 DOI: 10.1001/jamanetworkopen.2022.26701
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Patient Characteristics of Injured Electric Scooter (e-Scooter) Riders and Bicyclists
| Characteristic | No. (%) | |||
|---|---|---|---|---|
| All (N = 3191) | e-Scooter (n = 850) | Bicycle (n = 2341) | ||
| Mean (SD) age, y | 34 (17) | 31 (12) | 35 (18) | <.001 |
| Sex | ||||
| Female | 1165 (36.5) | 321 (37.7) | 844 (36.1) | .38 |
| Male | 2026 (63.5) | 529 (62.2) | 1497 (63.9) | |
| Intoxication | ||||
| Yes | 516 (16.2) | 336 (39.5) | 180 (7.7) | <.001 |
| No | 2582 (80.9) | 484 (56.9) | 2098 (89.6) | |
| Unknown | 93 (2.9) | 30 (3.5) | 63 (2.7) | |
| Helmet | ||||
| Yes | 1474 (46.2) | 18 (2.1) | 1456 (62.2) | <.001 |
| No | 1485 (46.5) | 707 (83.8) | 778 (32.2) | |
| Unknown | 232 (7.3) | 125 (14.7) | 107 (4.6) | |
| No. of injuries | 3839 | 997 | 2842 | |
| Injury severity | ||||
| Minor | 2554 (66.5) | 675 (67.7) | 1879 (66.1) | .06 |
| Moderate | 988 (25.7) | 233 (23.4) | 755 (26.6) | |
| Severe | 296 (7.7) | 89 (8.9) | 207 (7.3) | |
| Body region | ||||
| Head and neck | 953 (24.8) | 317 (31.7) | 636 (22.4) | <.001 |
| Thorax | 236 (6.1) | 41 (4.1) | 195 (6.9) | <.001 |
| Abdomen, pelvis, lumbar spine | 116 (3.0) | 13 (1.3) | 103 (3.6) | <.001 |
| Upper limb | 1617 (42.1) | 341 (34.2) | 1276 (44.9) | <.001 |
| Lower limb | 917 (23.9) | 285 (28.6) | 632 (22.2) | <.001 |
P values highlight any significant differences between the e-scooter and bicycle groups.
651 bicyclists and 226 e-scooter riders had 2 or more injuries.
Injury severity was categorized on the basis of the Felles minimum data set, a standardized index defined by the Norwegian Ministry of Health.[18] The index is hinged on the Abbreviated Injury Scale (AIS). In this study, minor injury corresponds to AIS score 1, moderate injury to AIS score 2, and severe injury to AIS scores 3 to 6.
Figure 1. Age Distribution Between Electric Scooter (e-Scooter) and Bicycle Groups
Most injured e-scooter riders were aged 20 to 40 years, whereas most injured bicyclists were aged 25 to 60 years. e-Scooter injuries were rare in children. A shift toward increasing prevalence of e-scooter injuries is seen in the late teens, whereas bicycle injuries show a marked dip.
Figure 2. Timeline of Electric Scooter (e-Scooter) and Bicycle Injuries During 24 Hours
Most bicycle injuries occur during rush hour, whereas most e-scooter injuries occur during evening and nighttime. Time is based on a 24-hour clock from 6:00 AM to 5:00 AM.
Rate of Intoxicated Electric Scooter (e-Scooter) Riders and Bicyclists According to Time of Day and Weekday vs Weekend
| No. of intoxicated/total No. of riders (%) | ||
|---|---|---|
| Weekday | Weekend | |
| Total | ||
| e-Scooter | 119/434 (27.4) | 219/378 (57.9) |
| Bicycle | 68/1586 (4.2) | 111/691 (16.1) |
| Daytime | ||
| e-Scooter | 19/257 (7.4) | 8/92 (8.7) |
| Bicycle | 26/1309 (2.0) | 16/453 (3.5) |
| Evening | ||
| e-Scooter | 32/99 (32.3) | 49/112 (43.8) |
| Bicycle | 23/237 (9.7) | 28/154 (18.2) |
| Nighttime | ||
| e-Scooter | 68/78 (87.2) | 162/174 (93.1) |
| Bicycle | 19/40 (47.5) | 67/84 (79.8) |
Of 812 e-scooter riders studied, 38 had missing data, and of 2277 bicyclists studied, 64 had missing data.