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. 2022 Jun 21;48(6):4847–4855. doi: 10.1007/s00068-022-02019-5

Table 1.

Description of cohort: patient and accident characteristics associated with e-scooters

Characteristics N = 170 95% CI Mean Median Std deviation
Gender (man) 116 (68.2%) 60.4–74.6
Age* 32.33 29.48 (95% CI: 24.15–40.0) 11.134
Hour of admission*
 7am–6 pm 72 (42.6%) 35.5–50.3
 6 pm–11 pm 46 (27.2%) 20.1–34.9
 11 pm–7am 51 (30.2%) 23.1–37.3
Rented 125 (73.5%) 66.9–80.5
Arrived by ambulance 68 (40.0%) 32.5–46.7%
Helmet usage 11 (6.4%) 3.0–10.1
Alcohol consumption 51 (30.0%) 23.7–37.9
Mechanism of the accident**
 Loss of balance 142 (84.5%) 77.5–88.8
 Two drivers on the e-scooter 11 (6.5%) 3.0–11.0
Pedestrians hit by the e-scooter 7 (4.1%) 1.2–7.7
Accident with another vehicle 9 (5.3%) 2.4–8.9
Scanner in ER 24 (14.1%) 8.9–19.5
ICU 1 (< 1%)
Temporary incapacity for work 71 (41.7%, 1193 days in total) 16.8 7.0 (95% CI: 3–21) 20.08
Hospitalization 20 (11.7%) 7.1–16.5

*1 patient with missing data

**2 patients with missing data