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. Author manuscript; available in PMC: 2013 Jan 17.

Published in final edited form as: Contemp Drug Probl. 2011 Summer;38(2):213. doi: 10.1177/009145091103800203

Table 2. Summary of Logistic regression Predicting Reporting Assault by Another Drinker (N = 4,272).

	Base Model		Model 1: controlling for age and impulsivity/risk taking		Model 2: Usual Quantity and Maximum		Model 3: Maximum

Predictor	Odds Ratio	95% CI	Odds Ratio	95% CI	Odds Ratio	95% CI	Odds Ratio	95% CI
Male Gender	1.759	(1.285, 2.407)^***	1.409	(1.016, 1.954)^*	1.203	(0.847, 1.710)	1.227	(0.865, 1.741)
Age			0.936	(0.920, 0.952)^***	0.942	(0.925, 0.958)^***	0.941	(0.924, 0.958)^***
Impulsivity/Risk/Sensation Seeking			1.070	(1.046, 1.095)^***	1.056	(1.030, 1.082)^***	1.059	(1.034, 1.086)^***
Setting where Drank the Most: ^a
Others' Home	1.228	(0.817, 1.846)	0.743	(0.484, 1.142)	0.674	(0.428, 1.062)	0.658	(0.422, 1.026)
Bar	2.232	(1.508, 3.304)^***	1.195	(0.798, 1.790)	1.049	(0.689, 1.596)	1.039	(0.687, 1.569)
Restaurant	0.262	(0.089, 0.770)^*	0.359	(0.121, 1.062)	0.356	(0.108, 1.172)	0.391	(0.131, 1.167)
Outdoors	1.809	(0.969, 3.376)	1.169	(0.611, 2.236)	1.141	(0.577, 2.258)	1.104	(0.564, 2.163)
Celebration/Wedding	1.029	(0.485, 2.184)	0.816	(0.364, 1.829)	0.711	(0.303, 1.667)	0.665	(0.287, 1.545)
Other Setting	1.117	(0.549, 2.272)	1.041	(0.487, 2.222)	1.008	(0.451, 2.250)	1.012	(0.463, 2.214)
Model 2:
Usual Quantity					1.109	(1.045, 1.177)^**
Maximum - Usual Difference					1.047	(0.997, 1.098)
Model 3: Maximum							1.084	1.027 1.144)^**
Pseudo R²		0.036		0.154		0.162		0.159

^a

Reference is Own Home

^*

p<0.05,

^**

p<0.01,

^***

p<0.001