Table A.1.

Logistic Regression Analysis: Past-Year Energy Drink Users vs. Past-Year Non- Energy Drink Users (n=770)

	Energy Drink Users (vs. Non-Energy Drink Usersa)
	OR (95% CI)
Gender
Male	3.74 (2.15, 6.51)***
Female	Refb
Race/Ethnicity
Black	1.11 (0.53, 2.33)
Otherc	2.26 (1.02, 5.00)*
White	Ref
Age
18–29	8.83 (3.46, 22.55)***
30–54	3.55 (1.70, 7.40)**
55+	Ref
Education
Less than High School	0.46 (0.12, 1.81)
High School	1.54 (0.74, 3.20)
Some College	1.45 (0.81, 2.61)
College Degree	Ref
Employment
Not Employed	0.87 (0.47, 1.61)
Employed (full or part time)	Ref
Household Income
≤$29,999	0.44 (0.16, 1.20)
$30,000–$59,999	0.67 (0.34, 1.32)
$60,000+	Ref
Marital Status
Not Married	1.86 (0.96, 3.59)
Married	Ref
Children in Household
No	0.79 (0.44, 1.42)
Yes	Ref
Place of Residence
Milwaukee City	1.99 (1.14, 3.47)*
Surrounding Aread	Ref

^aIncludes lifetime energy drink users who did not consume energy drinks in the past year.

^bReference category.

^cAmerican Indian or Alaska Native, Asian or Pacific Islander, Hispanic, and Other Racial/Ethnic Background.

^dIncludes suburban areas of Milwaukee County plus the counties of Ozaukee, Washington, and Waukesha.

^*p<.05.

^**p=.001.

^***p<.0001.