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Table 1 Characteristics of patients, cycling behavior, and accident-related factors according to bicycle type

From: Increased injury severity and hospitalization rates following crashes with e-bikes versus conventional bicycles: an observational cohort study from a regional level II trauma center in Switzerland

 

Conventional bike

(n = 55)

Electric bike

(n = 27)

p-value

Male

37 (67%)

13 (48%)

0.095

Age at time of accident (years)a

45 (32–62)

60 (44–70)

0.008

Helmet use

38 (69%)

17 (63%)

0.825

Alcohol or drug use

8 (15%)

5 (19%)

0.434

Prescription drug use

12 (22%)

11 (41%)

0.127

Frequency of rides per week

4 (2–7)

5 (4–7)

0.184

Estimated number of hours riding per weeka

3.5 (1–7)

4 (2–8)

0.337

Cause of accident

  

0.227

 Single-bicycle (fell/thrown from bicycle)

36 (65%)

18 (66%)

 Collision with motor vehicle

13 (24%)

8 (30%)

 Collision with pedestrian

0

1 (4%)

 Other (e.g., collision with stationary object)

6 (7.3%)

0

Estimated speed at time of accident (km/hour)a

16 (10–20)

15 (10–23)

0.959

Season

  

0.436

 January–March

4 (7%)

0

 April–June

25 (45%)

10 (37%)

 July–September

19 (35%)

12 (44%)

 October–December

7 (13%)

5 (19%)

Wet or snowy road conditions

6 (11%)

2 (7%)

0.999

Time of crash

  

0.273

 00:01–00:06:00

4 (7%)

1 (4%)

 06:01–00:12:00

16 (29%)

10 (37%)

 12:01–00:18:00

22 (40%)

14 (52%)

 18:01–00:00:00

13 (24%)

2 (7%)

  1. aData presented as median (interquartile range) were tested with Wilcoxon ranked sum; Fisher’s exact or chi-square tests used for categorical data; significance level set at < 0.05