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. 2022 May 26;37(22):e181. doi: 10.3346/jkms.2022.37.e181

Table 1. Demographic characteristics of the patients involved in electric scooter accidents.

Variables Not wearing a helmet Wearing a helmet P value
Total 92 16
Sex 0.476
Male 77 (83.7) 12 (75.0)
Female 15 (16.3) 4 (25.0)
Age group, means, yr 31.3 (9–66) 34.1 (18–61) 0.399
< 10 1 0
10 to 19 6 1
20 to 29 44 7
30 to 39 22 4
40 to 49 12 1
50 to 59 4 2
60 to 69 3 1
Alcohol intake 22 (23.9) 1 (6.2) 0.184
Accident type 0.728
Falling off the scooter 77 (83.7) 13 (81.2)
Car accident 15 (16.3) 3 (18.8)
Driving proficiency, mon 5.0 8.1 0.285
ISS (points) 5.0 4.0 0.454
Severe trauma 14 (15.2) 1 (6.2) 0.462
Lethalitya 5 (5.4) 0 (0.0) 1.000
ICU admission 16 (17.4) 2 (12.5) 1.000
Surgery under general anesthesia 25 (27.2) 3 (18.8) 0.758
Facial bone surgery 8 (8.7) 0 0.602

Values are presented as number (%).

ISS = Injury Severity Score, ICU = intensive care unit.

aLethality is defined as death, a persistent vegetative state, and post-coma unresponsiveness.