Risk Factors for Road Traffic Injuries among Different Road Users in the Gambia

Table 4

Predictors of crash/injury by road user type^1,2.

Covariates

Total^3

Pedestrians versus all other road users

Motorcyclist/bicyclists versus all other road users

Vehicle occupants versus all other road users

Crude

Adjusted

Crude

Adjusted

Crude

Adjusted

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

Age (years)

<25

132

5.38

3.12–9.26

6.36

3.32–12.17

0.29

0.15–0.57

0.24

0.1–0.52

0.38

0.22–0.67

0.36

0.19–0.69

25+

118

Ref

NA

Ref

NA

Ref

NA

Ref

NA

Ref

NA

Ref

NA

Day of week

Weekday

133

Ref

NA

Ref

NA

Ref

NA

NA^3

NA^3

Ref

NA

NA^3

NA^3

Weekend

118

0.53

0.29–0.94

0.34

0.16–0.71

1.21

0.61–2.39

NA^3

NA^3

1.8

1.02–3.3

NA^3

NA^3

Collision vehicle type

Motor car

118

4.2

2.48–7.14

3.95

2.09–7.47

0.6

0.31–1.12

NA^3

NA^3

3.6

1.95–6.74

0.24

0.12–0.47

Other

133

Ref

NA

Ref

NA

Ref

NA

NA^3

NA^3

Ref

NA

Ref

NA

Collision vehicle category^4

Commercial

110

0.46

0.27–0.78

0.43

0.22–0.82

NA^3

NA^3

0.55

0.27–1.12

NA^3

NA^3

3.7

1.81–7.6

Private

116

Ref

NA

Ref

NA

NA^3

NA^3

Ref

NA

NA^3

NA^3

Ref

NA

Speeding

Yes

118

1.4

0.75–2.61

NA^3

NA^3

0.84

0.4–1.74

NA^3

NA^3

0.75

0.34–1.42

NA^3

NA^3

No

133

Ref

NA

NA^3

NA^3

Ref

NA

NA^3

NA^3

Ref

NA

NA^3

NA^3

Poor visibility

Yes

118

0.97

0.55–1.68

NA^3

NA^3

1.54

0.8–3.0

1.9

0.89–394

0.77

0.42–1.43

0.6

0.29–1.3

No

133

Ref

NA

NA^3

NA^3

Ref

NA

Ref

NA

Ref

NA

Ref

NA

Road user type: “Other” was not depicted as separate column in table due to low number (; 2% of total) yet is included in “Total” column.
Adjusting for all the variables in the table.
Numbers may not add to 254 due to missing data.
Did not meet the 0.2 significance level for entry into the model.