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Table 3 Adjusted logistic regression model predicting variables associated with driving under the influence of alcohol

From: Trends and correlates of driving under the influence of alcohol among different types of adult substance users in the United States: a national survey study

 

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)

  1. OR Odds Ratio, CI Confidence Interval, Ref. reference group
  2. a Past-year drug use, regardless of pas-year alcohol use status
  3. Boldface: p < .01