Table 1.
Variable | Recalled exposure to The Real Cost | |||
---|---|---|---|---|
Total (N=13,165) | Yes (N=10,136) | No (N=3,029) | p-valueb | |
| ||||
Age, years, % | 0.12 | |||
11‒13 | 35.3 | 34.7 | 37.3 | |
14‒15 | 32.9 | 33.4 | 31.1 | |
16‒17 | 31.8 | 31.9 | 31.7 | |
Sex, % | 0.12 | |||
Male | 51.8 | 52.4 | 49.8 | |
Female | 48.2 | 47.6 | 50.2 | |
Race, % | <0.001 | |||
Non-Hispanic White | 53.6 | 55.8 | 46.3 | |
Non-Hispanic Black | 11.9 | 11.1 | 14.9 | |
Hispanic | 23.7 | 22.7 | 27.1 | |
Other/Multiple races | 10.8 | 10.5 | 11.7 | |
Past 30-day tobacco use, % | 0.004 | |||
No past 30-day use | 79.4 | 79.7 | 78.1 | |
E-cigarettes only | 12.1 | 12.3 | 11.7 | |
Other tobacco only | 2.4 | 2.1 | 3.5 | |
E-cigarettes and other tobacco | 6.1 | 6.0 | 6.7 | |
Exposure to e-cigarette advertising, % | <0.001 | |||
Low | 45.5 | 42.7 | 55.1 | |
Medium | 28.6 | 30.0 | 23.8 | |
High | 25.9 | 27.3 | 21.1 | |
Exposure to other tobacco advertising, % | <0.001 | |||
Low | 33.5 | 29.8 | 46.3 | |
Medium | 36.0 | 37.6 | 30.5 | |
High | 30.5 | 32.6 | 23.2 | |
Perceived harm of using e-cigarettes some days but not every day, % | <0.001 | |||
No harm | 5.3 | 4.8 | 7.1 | |
Little harm | 22.4 | 23.0 | 20.5 | |
Some harm | 39.9 | 40.5 | 37.9 | |
A lot of harm | 32.3 | 31.7 | 34.5 | |
Perceived addictiveness of e-cigarettes compared to cigarettes, % | <0.001 | |||
Less addictive | 18.1 | 18.7 | 16.1 | |
Equally addictive | 37.1 | 38.4 | 32.6 | |
More addictive | 27.5 | 28.5 | 24.3 | |
Never heard of e-cigarettes | 2.2 | 1.5 | 4.5 | |
I don’t know enough | 15.0 | 12.9 | 22.6 |
Notes: Percentages might not sum to 100% due to rounding. Boldface indicates statistical significance (p<0.05).
Estimated proportions were weighted to account for the complex sampling design; unweighted participant counts are reported. Estimates were derived from the analytic subpopulation of youth who were: ages 11- to 17-years-old; answered yes or no to the item assessing exposure to The Real Cost campaign; and had complete data for all independent variables, dependent variables, and covariates used in the multivariable model. Compared to youth included in the analytic subpopulation, those excluded from analyses (for reasons unrelated to being outside the ages of interest) were younger and more likely to use non-e-cigarette tobacco products, be non-Hispanic Black or Hispanic, and to have low exposures to e-cigarette and tobacco advertising.
P-values were calculated using Rao-Scott chi-square tests.