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. 2019 May 4;19:509. doi: 10.1186/s12889-019-6889-8

Table 3.

Adjusted logistic regression model predicting variables associated with driving under the influence of alcohol

Adjusted OR (95% CI)
(N = 204,283)
Age
 18–25 (ref.) 1.00
 26–34 1.22 (1.17–1.28)
 35–49 0.95 (0.90–1.00)
 50+ 0.65 (0.62–0.69)
Sex
 Male 1.60 (1.53–1.66)
 Female (ref.) 1.00
Race/ethnicity
 Non-Hispanic White 1.46 (1.35–1.58)
 Non-Hispanic Black (ref.) 1.00
 Hispanic 0.94 (0.86–1.03)
 Asian/Native Hawaiian/Pacific Islander 0.72 (0.62–0.83)
 Other 1.04 (0.90–1.21)
Annual household income
 ≤$49,999 (ref.) 1.00
 $50,000–$74,999 1.55 (1.46–1.64)
 ≥$75,000 1.80 (1.72–1.88)
Population density
 Large metro 1.06 (1.00–1.12)
 Small metro 1.10 (1.04–1.17)
 Non metro (ref.) 1.00
Alcohol abuse/dependence (past-year)
 None (ref.) 1.00
 Abuse 9.44 (8.79–10.14)
 Dependence 5.99 (5.54–6.47)
 Year 0.97 (0.96–0.98)
Substance use type
 Alcohol only (ref.) 1.00
 Prescription opioids only a 1.65 (1.47–1.86)
 Marijuana only a 2.18 (2.04–2.32)
 Other single drug a 2.12 (1.88–2.39)
 Prescription opioids-marijuana a 2.71 (2.43–3.02)
 Multiple prescription drugs a 2.83 (2.35–3.41)
 Other multiple drugs a 3.68 (3.40–3.97)

OR Odds Ratio, CI Confidence Interval, Ref. reference group

a Past-year drug use, regardless of pas-year alcohol use status

Boldface: p < .01