Table 1.

Demographic Profile of Study Sample

Demographic characteristic	Less than weekly energy drink use (n = 571)	Weekly energy drink use (n = 303)	Total sample (n = 874)
Mean years of age (SD)a	23.7 (2.7)	24.1 (2.6)	23.9 (2.7)
Sex (% female)b	68	51	62
Ethnicity (% non-Hispanic)	92	92	92
Race (%)
White or Caucasian	79	83	80
Black or African American	6	4	5
Asian	7	7	7
Native Hawaiian or other Pacific Islander	<1	0	<1
American Indian or Alaska Native	<1	1	<1
Other	2	<1	1
More than one race	5	6	5
Annual household income (%)
Under $25,000	31	29	30
$25,000–$34,999	18	17	18
$35,000–$49,999	17	19	18
$50,000–$74,999	16	20	17
$75,000–$99,999	9	7	8
$100,000–$124,999	5	6	5
$125,000–$150,000	2	1	2
Over $150,000	3	1	2
Highest level of education (%)
No high school diploma	1	1	1
High school diploma or equivalent	9	8	9
Some college, no degree	34	40	36
Trade, technical, vocational training	2	2	2
Associate's degree	8	11	9
Bachelor's degree	35	32	34
Master's degree	8	7	8
Professional/doctorate degree	2	<1	1
Employment status (%)
Employed full-timeb	33	50	39
Employed part-time	15	17	16
Studentc	32	21	28
Unemployedb	20	11	17
Marital status (%)
Married	19	19	19
Widowed	0	0	0
Divorcedb	1	5	3
Never married	80	75	78

^ap ≤ 0.05 represent significant group differences between weekly energy drink users and less-than-weekly energy drink users based on results of t-tests for continuous variables and chi-square tests for categorical variables.

^bp ≤ 0.001 represent significant group differences between weekly energy drink users and less-than-weekly energy drink users based on results of t-tests for continuous variables and chi-square tests for categorical variables.

^cp ≤ 0.01 represent significant group differences between weekly energy drink users and less-than-weekly energy drink users based on results of t-tests for continuous variables and chi-square tests for categorical variables.