Table 2.

Hangover Sensitivity Predicting Average Daily Drinking Volume (ADV), Number of Drinking Problems, and Meeting AUDIT-Positive Criteria at Follow up: Regression Results

Predicting ADV at Time 2 (Model F(5,128) = 8.05, p < .0001)
Predictor	Beta	sr2	F(1,128)
Gender (male)	0.35	.03	9.25*
Age at Time 2	−0.10	.00	0.68
Employed at Time 2	0.16	.00	0.62
Time 1 ADV	0.33	.18	29.10 **
Alcohol Hangover Scale score	0.06	.00	0.45
Predicting number of AUDIT Problems at Time 2 (Model F(5,125) = 2.15, p < .07)
Predictor	Beta	sr2	F(1,128)
Gender (male)	−0.11	.00	0.05
Age at Time 2	−0.36	.00	0.65
Employed at Time 2	0.61	.01	0.78
Time 1 ADV	0.56	.05	6.95**
Alcohol Hangover Scale score	−0.31	.01	1.07
Predicting AUDIT Positive at Time 2 (Model Wald Χ2 (5, N = 131) = 10.15, p < .07)
Predictor	Odds Ratio		Wald Χ2 (df = 1)
Gender (male)	1.44 (0.69 – 3.00)		0.95
Age at Time 2	0.97 (0.52 – 1.79)		0.01
Employed at Time 2	1.92 (0.73 – 5.04)		1.76
Time 1 ADV	1.42 (1.03 – 1.96)		4.46 *
Alcohol Hangover Scale score	0.68 (0.44 – 1.06)		2.87 ‡

^‡p = .09;

^*p < .05;

^**p < .001

ADV = Average daily volume (number of standard drinks)

AUDIT Problems = Alcohol Use Disorders Identification Test, problem items only

AUDIT Positive = Score of 8 or more on AUDIT