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. 2014 Apr 23;9:17. doi: 10.1186/1747-597X-9-17

Table 2.

Regression models evaluating happy hour behaviors and illicit behaviors/arrests

 
 Logistic regression models
 Rare events logistic regression model
 
 Driving under the influence
 Alcohol-related arrest
 DUI citation/arrest
Characteristics O.R. 95% CI Wald χ 2 p O.R. 95% CI Wald χ 2 p O.R. 95% CI Wald χ 2 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