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Table 1 Discrepancies in missing data for drug and alcohol use indicators by selected groups, 2004–2016

From: Challenges in studying statewide pedestrian injuries and drug involvement

 

Drug Use

Alcohol Use

Variable

Odds Ratioa

95% CI

p

Odds Ratioa

95% CI

p

Race (ref: White)b

 Black

0.926

0.83, 1.04

0.182

0.871

0.84, 0.91

< 0.001

 Hispanic

0.608

0.56, 0.67

< 0.001

1.037

1.01, 1.07

0.014

 Asian

0.384

0.30, 0.48

< 0.001

1.133

1.07, 1.20

< 0.001

 “Other”

0.548

0.48, 0.69

< 0.001

1.080

1.01, 1.15

0.017

Sex (ref: Women)b

 Men

1.945

1.78, 2.12

< 0.001

0.896

0.87, 0.92

< 0.001

Age (ref: 19–64)b

 0–18 years

0.170

0.15, 0.20

< 0.001

1.164

1.13, 1.20

< 0.001

 65+

0.640

0.56, 0.73

< 0.001

1.075

1.03, 1.12

< 0.001

  1. aMeasures the odds of an explicit response: 1 indicates an explicit response (e.g., “had been drinking” or “had not been drinking”); 0 indicates missing data (e.g., “not applicable,” “impairment unknown,” blank)
  2. bControlling for year
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Injury Epidemiology

ISSN: 2197-1714