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2007 National Roadside Survey of Alcohol and Drug Use by Drivers

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<strong>2007</strong> <strong>National</strong> <strong>Roadside</strong> <strong>Survey</strong> <strong>of</strong> <strong>Alcohol</strong> <strong>and</strong> <strong>Drug</strong> <strong>Use</strong> <strong>by</strong> <strong>Drivers</strong>: <strong>Drug</strong> ResultsTable 110. Nighttime <strong>Drug</strong> Prevalence <strong>by</strong> Time <strong>of</strong> Day (Oral Fluid <strong>and</strong>/or Blood)Time <strong>of</strong> DayN(Unweighted)% <strong>Drug</strong> Positive(Weighted)Daytime NA NANighttime 5,910 16.3%When we examined drug prevalence <strong>by</strong> time <strong>of</strong> day (Table 111), we found that late-night(Sessions 3 <strong>and</strong> 5) drivers were significantly more likely to be drug positive (19.1% <strong>and</strong> 18.3%respectively) than Friday <strong>and</strong> Saturday earlier in the night (Sessions 2 <strong>and</strong> 4) drivers (15.4% <strong>and</strong>15.2% respectively) (p < .01).Table 111. <strong>Drug</strong> Prevalence <strong>by</strong> Session (Oral Fluid <strong>and</strong>/or Blood)SessionN(Unweighted)% <strong>Drug</strong> Positive(Weighted)2: Friday, 10:00 p.m. – Midnight 1,618 15.4%3: Friday, 1:00 a.m. – 3:00 a.m. 1,313 19.1%4: Saturday, 10:00 p.m. – Midnight 1,695 15.2%5: Saturday, 1:00 a.m. – 3:00 a.m. 1,284 18.3%Overall 5,910 16.3%Comparison <strong>of</strong> drug prevalence <strong>by</strong> region (Table 112) showed that the Northeast region had thegreatest percentage <strong>of</strong> drug-positive findings, at 18.3 percent. However, this difference was notstatistically significant. Thus, no clear pattern <strong>by</strong> region emerged.Table 112. <strong>Drug</strong> Prevalence <strong>by</strong> Region (Oral Fluid <strong>and</strong>/or Blood)RegionN(Unweighted)% <strong>Drug</strong> Positive(Weighted)Midwest 1,708 16.9%Northeast 1,119 18.3%South 1,566 16.3%West 1,517 15.0%Overall 5,910 16.3%Examining drug prevalence <strong>by</strong> gender (Table 113) revealed that male drivers were significantlymore likely to be drug-positive than female drivers (18.0% male vs. 13.8% female) (p < .01).90

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