Table 4 Predictors for patient knowledge on risks of having a road accident: multiple linear regression analysis
Risk of having road accidents (N = 617) | |
|---|---|
Independent variables | Standardised coefficients (p-value) |
Constant | 3.469 |
Country (Germany used as reference) | - |
Belgium | 0.02 (0.798) |
The Netherlands | 0.00 (0.982) |
Spain | -0.04 (0.529) |
Gender (0 = male; 1 = female) | -0.03 (0.487) |
Age categories (category 55-64 used as reference) | - |
18-25 | 0.07 (0.134) |
26-34 | 0.10 (0.048)* |
35-44 | 0.16 (0.005)* |
45-54 | 0.09 (0.092) |
65-75 | -0.13 (0.010)* |
Educational level (Intermediate vocational training used as reference) | - |
Not completed primary school | -0.14 (0.002)* |
Completed primary school | -0.03 (0.621) |
Lower vocational training | -0.05 (0.297) |
University | 0.18 (< 0.001)* |
Use of motorised vehicles (0 = sporadic users; 1 = frequent users) | -0.04 (0.330) |
Experienced side effects (0 = no side effects; 1 = side effects) | 0.05 (0.283) |
Information received from healthcare providers (0 = no information was provided; 1 = information was provided) | 0.00 (0.970) |
Information looked for patients (0 = no information was looked for; 1 = information was looked for by patients) | 0.00 (0.927) |
Information from the PIL (0 = patients don't read the PIL; 1 = patients read the PIL) | 0.01 (0.893) |
Adjusted R 2 | 0.106 |
F | 4.477 |
p-value (model) | < 0.001* |