Table 3.
Results of the multivariate analysis (mixed regression model) evaluating potential predictors of reaction time
| First model | Second model * | |||||
|---|---|---|---|---|---|---|
| Regression coefficient |
(95% CI) | p | Regression coefficient |
(95% CI) | p | |
| BAC, 0.1 g/l increase | 0.015 | (0.012; 0.018) | < 0.001 | -- | ||
| BAC classes | ||||||
| 0.0 (ref. category) | -- | 0 | -- | -- | ||
| 0.01-0.19 | -- | -0.016 | (-0.037; 0.005) | 0.144 | ||
| 0.20-0.49 | -- | 0.018 | (-0.002; 0.037) | 0.068 | ||
| 0.50-0.99 | -- | 0.050 | (0.031; 0.070) | < 0.001 | ||
| > = 1.00 | -- | 0.196 | (0.147; 0.244) | < 0.001 | ||
| Drug use | -0.007 | (-0.041; 0.026) | 0.7 | -0.015 | (-0.054; 0.024) | 0.5 |
| BAC*drug use | 0.015 | (0.006; 0.024) | 0.002 | 0.010 | (0.005; 0.014) | < 0.001 |
| Male gender | -0.065 | (-0.042; -0.088) | < 0.001 | -0.076 | (-0.054; -0.097) | < 0.001 |
| BAC*Male gender | -0.011 | (-0.004; -0.019) | 0.003 | -0.008 | (-0.004; -0.011) | < 0.001 |
| Age, 1-year increase | 0.003 | (-0.001; 0.006) | 0.10 | 0.003 | (-0.001; 0.006) | 0.090 |
| Educational level, ordinal | 0.001 | (-0.012; 0.014) | 0.9 | 0.001 | (-0.013; 0.014) | 0.9 |
| Occupation | ||||||
| Student (ref. category) | 0 | -- | -- | 0 | -- | -- |
| Employed | 0.013 | (-0.010; 0.035) | 0.3 | 0.011 | (-0.011; 0.034) | 0.3 |
| Unemployed | 0.075 | (0.040; 0.110) | < 0.001 | 0.074 | (0.039; 0.109) | < 0.001 |
| Driving licence years | ||||||
| No licence (ref. category) | 0 | -- | -- | 0 | -- | -- |
| < = 2 | 0.090 | (0.057; 0.124) | < 0.001 | 0.092 | (0.059; 0.126) | < 0.001 |
| 3-5 | 0.068 | (0.033; 0.103) | < 0.001 | 0.069 | (0.034; 0.104) | < 0.001 |
| > 5 | 0.043 | (0.005; 0.082) | 0.027 | 0.046 | (0.007; 0.083) | 0.019 |
| Arrested because of driving after drinking in the last year | 0.161 | (0.101; 0.220) | < 0.001 | 0.158 | (0.098; 0.217) | < 0.001 |
* The second mixed model includes the same covariates of the first; the only difference is the inclusion of dummy variables for BAC classes (categorization).