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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