Table 3. Demographic characteristics and driving profiles of drivers with different infractions (n = 178).
| Variable | Positive breathalyzer (n = 34) | Refused breathalyzer (n = 72) | Other reasons (n = 72) | p-value |
|---|---|---|---|---|
| Sex, male* | 32 (94.1) | 62 (86.1) | 65 (89.3) | 0.434 |
| Age† | 36 [28.0-46.5] | 32 [26.2-42.7] | 32.5 [25.2-39.7] | 0.274 |
| Education, 12+ years* | 9 (26.5) | 24 (33.3) | 20 (27.8) | 0.687 |
| Monthly income (R$)†‡ | 2500 [1500-4500] | 3000 [1500-5000] | 2200 [1600-3500] | 0.332 |
| Vehicle* | ||||
| Car/pickup | 24 (70.6) | 65 (90.3) | 59 (81.9) | |
| Motorcycle or similar | 6 (17.6) | 4 (5.6) | 8 (11.1) | 0.162 |
| Truck or bus | 4 (11.8) | 3 (4.2) | 12 (6.7) | |
| Driver’s license* | 34 (100.0) | 67 (93.1) | 59 (81.9)§ | 0.008 |
| Drove daily* | 21 (61.8) | 54 (75) | 41 (59.9) | 0.068 |
* Data expressed as absolute and relative frequencies, n (%), and compared using the chi-squared test.
† Data expressed as median [interquartile range] and compared using the Kruskal-Wallis test.
‡ At the time of data collection, US$ 1.00 = R$ 3.20.
§ Adjusted residual > |2|.