. Author manuscript; available in PMC: 2021 Jan 1.

Published in final edited form as: J Addict Med. 2020 Jan-Feb;14(1):56–62. doi: 10.1097/ADM.0000000000000542

Table 1.

Participant demographic data (N=506)¹

		Primary Substance Used
		Opioids (N=78)	Stimulants (N=61)	Marijuana (N=172)	Alcohol (N=118)	None (N=77)	Total (N=506)
Age	Mean (SD), years	33.6(10.5)^a	31.4 (8.2)^a	31.6 (8.2)^a	34.6 (10.5)^ab	38.2 (12.6)^b	33.6(10.1)
Sex	% Male	41	47.5	55.8	55.1	59.7	53
Marital Status	% Never Married	46.2	41.0	43.6	45.8	51.9	45.5
Race*	% Minority	25.6^ab	27.9^a	32.6^a	22.9^ab	14.3^b	25.9
Employment Status	% Employed Full Time	64.1	70.5	61	62.7	54.5	62.1
Highest Education Level Achieved*	% Associate’s degree or above	48.7^a	65.6^bc	64.0^b	61.9^ab	49.4^ac	59.1
Yearly Household Income Level*	% $45,000 or less	61.5^ad	36.1^b	52.3^acd	40.7^bc	61.0^d	50.4
Do you identify with a particular religion?*	% Yes	30.8^ab	36.1^a	21.5^b	37.3^a	37.7^a	30.8
Political Affiliation*	% Democratic Party	50.0^ab	52.5^ab	60.5^ac	44.1^b	42.9^b	51.4
Are you registered to vote?	% Yes	84.6	90.2	90.1	92.4	83.1	88.7
Have you or someone close to you experienced a legal consequence related to substance use?*	% Yes	35.9^a	39.3^a	43.0^a	36.4^a	19.5^b	36.4

Asterisks indicate those variables for which the overall F or x2 statistic was significant at p<0.05. Differences among groups were compared using a Chi-square test, with pairwise comparisons, or a one-way ANOVA with Tukey’s post hoc tests for pairwise comparisons. Categories within a row that do not share a common superscript were significantly different (p< 0.05).