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. Author manuscript; available in PMC: 2023 Jun 22.
Published in final edited form as: Addict Behav. 2019 Jun 12;99:106014. doi: 10.1016/j.addbeh.2019.06.003

Table 1.

Descriptive statistics and attrition analysis.

Complete cases (n = 3597)a Incomplete cases (n = 1062)b Statistical analysisc
Marketing exposure (mean; SD) 1.54 (1.53) 1.73 (1.61) t(4657) = 3.56; p = .004
Age (mean; SD) 20.0 (1.79) 20.2 (1.87) t(4657) = 3.24; p = .056
Sex χ2 (1,N = 4656) = 0.02; p = .875
Male 31.9% 32.2%
Female 68.1% 67.8%
Race/Ethnicity χ2 (4, N = 4, 656) = 47.59; p < .001
Cramer’s V = 0.10
Non-Hispanic White 34.4% 33.5%
Hispanic/Latino 29.9% 35.7%
African American 8.0% 10.8%
Asian American 20.4% 12.1%
Otherd 7.4% 7.9%
Other tobacco usee χ2 (1,N = 4, 659) = 24.51; p < .001
Phi coefficient = 0.07
No 76.9% 69.5%
Yes 23.1% 30.5%
a

Full sample of eligible participants.

b

Subsample of non-susceptible, never smokeless tobacco users.

c

T-test and chi-square analyses.

d

Participants that reported race/ethnicity of American Indian/Alaska Native, Native Hawaiian/Pacific Islander, or any other race/ethnicity were categorized as “Other”.

e

Any use of conventional cigarettes, electronic cigarettes, hookah, large cigars, little filtered cigars, or cigarillos in the past 30-days.