17 February 2025 : Clinical Research
Retrospective Study to Compare Injury Patterns and Associations in 170 Patients Following Electric Scooter and Bicycle Accidents in Turkey
Ümit Şimşek
ABCDEF 1*, Tuğçen Demircan ABCDEF 1
DOI: 10.12659/MSM.947155
Med Sci Monit 2025; 31:e947155
Table 1 Demographics and accident characteristics of electric scooter and bicycle users.
| Type of vehicle | ||||
|---|---|---|---|---|
| E-scootern (%) | Bicyclen (%) | Test valueP | ||
| Total number of cases | 54 (31.7) | 116 (68.2) | ||
| Age, mean±SD (years) | 21.96±10.07 | 30.03±20.93 | ||
| Sex, Female | 13 (24.1) | 12 (10.3) | ||
| Driver | Rider | 37 (68,5) | 100 (86.2) | |
| Multiple riders | 14 (25.9) | 13 (11.2) | ||
| Non-rider | 3 (5.6) | 3 (2.6) | ||
| Occupation | Student | 29 (53.7) | 52 (44.8) | 0.281 |
| Other | 25 (46.3) | 64 (55.2) | ||
| Time of day | Morning, 6AM–11.59 AM | 7 (13.0) | 32 (27.6) | 0.086 |
| Afternoon,12AM–5.59PM | 26 (48.1) | 39 (33.6) | ||
| Evening, 6PM–11.59 PM | 19 (35.2) | 36 (31.0) | ||
| Night, 12AM–5.59AM | 2 (3.7) | 9 (7.8) | ||
| Day of the week | Weekdays | 44 (81.5) | 87 (75.0) | 0.349 |
| Weekend | 10 (18.5) | 29 (25.0) | ||
| Season | Winter | 12 (22.2) | 36 (31.0) | 0.093 |
| Spring | 9 (16.7) | 16 (13.8) | ||
| Summer | 14 (25.9) | 42 (36.2) | ||
| Fall | 19 (35.2) | 22 (19.0) | ||
| Type of road | Street | 46 (85.2) | 106 (91.4) | |
| Sidewalk | 3 (5.6) | 5 (4.3) | ||
| Crosswalk | 4 (7.4) | 0 (0.0) | ||
| Other | 1 (1.9) | 5 (4.3) | ||
| Helmet use | Yes | 0 (0.0) | 13 (11.2) | |
| Mechanism of injury | Fall, no specific details | 9 (16.7) | 14 (12.1) | 0.379 |
| Collision with an object | 4 (7.4) | 6 (5.2) | ||
| Hit by motor vehicle | 37 (68.5) | 92 (79.3) | ||
| Collision with pedestrian | 4 (7.4) | 4 (3.4) | ||
| Alcohol | Yes | 10 (18.5) | 5 (4.3) | |
| No | 44 (81.5) | 111 (95.7) | ||
| Mechanism of ED transport | Ambulance | 20 (37.0) | 43 (37.1) | 0.997 |
| Own transport | 34 (63.0) | 73 (62.9) | ||
| E-scooter – electric scooter; SD – standard deviation. | ||||