Skip to main content

Table 2 Regression models evaluating happy hour behaviors and illicit behaviors/arrests

From: It’s five o’clock somewhere: An examination of the association between happy hour drinking and negative consequences

  Logistic regression models Rare events logistic regression model
  Driving under the influence Alcohol-related arrest DUI citation/arrest
Characteristics O.R. 95% CI Wald χ2 p O.R. 95% CI Wald χ2 p O.R. 95% CI Wald χ2 p
Gender (0 = F,1 = M) 2.44 1.50-3.96 13.07 <.01 1.77 1.29-2.44 12.17 <.01 2.17 .75-6.25 2.04 .16
Race (1 = Non-White) .67 .36-1.27 1.51 .22 .38 .23-.64 13.68 <.01 .50 .10-2.58 .69 .41
Age 1.06 .97-1.16 1.80 .18 1.09 1.03-1.17 7.42 .01 1.56 .71-3.46 1.21 .28
Student athlete 1.07 .36-3.10 .01 .91 1.28 .63-2.58 .47 .50 2.46 .50-12.13 1.22 .27
Fraternity/Sorority .80 .45-1.43 .56 .46 1.36 .94-1.97 2.65 .11 1.08 .36-3.22 .02 .90
Employed‡             
 Part-time 1.90 1.19-3.05 7.11 .01 1.21 .85-1.72 1.15 .29 1.31 .40-4.01 .20 .66
 Full-time 1.33 .41-4.30 .23 .63 .92 .38-2.21 .04 .86 16.12 2.62-99.10 9.00 <.01
Family income 1.04 .93-1.16 .37 .55 1.06 .97-1.14 1.73 .19 1.02 .79-1.32 .02 .88
Married 1.33 .32-5.51 .15 .70 1.31 .44-3.91 .24 .63 .00 .00-19424 .00 1.00
Off-campus housing 1.31 .75-2.31 .90 .35 .90 .62-1.31 .30 .59 .72 .22-2.42 0.28 .60
Alcohol use frequency 1.32 1.12-1.56 11.29 <.01 1.14 1.02-1.28 5.22 .03 1.20 .83-1.73 .97 .33
Age of alcohol onset .89 .83-.95 12.19 <.01 .91 .86-.96 12.97 <.01 .87 .74-1.03 2.59 .11
Happy hour drinking 1.88 1.12-3.15 5.67 .02 1.24 .88-1.74 1.45 .23 1.03 .34-3.17 .00 .96
Constant .01     .05     .00    
Model χ2 67.01     79.88     66.23    
Pseudo R2 .128     .106     .08