Table 7.
Demographic predictors of perceived social norms of e-cigarette and smokeless tobacco use (unstandardized b, 95% CI)
E-Cigarettes (N=263)
|
||
---|---|---|
Predictor | Bivariate Analyses | Multivariable Analyses |
Age (26+ referent) | 0.09, −0.27–0.44 | 0.10, −0.28–0.47 |
Race (white referent) | −0.70, −1.03–(−0.36) | −0.61, −0.97–(−0.25) |
Sex (male referent) | 0.16, −0.14–0.46 | 0.12, −0.18–0.41 |
Education (Bachelor’s+ referent) | ||
High school or less | −0.18, −0.56–0.24 | −0.004, −0.46−0.45 |
Some college | 0.19, −0.26–0.63 | 0.16, −0.29–0.60 |
Income ($20K+ referent) | −0.26, −0.56–0.04 | −0.11, −0.46–0.24 |
| ||
Smokeless Tobacco (N=252)
|
||
Predictor | Bivariate Analyses | Multivariable Analyses |
| ||
Age (26+ referent) | 0.11, −0.32–0.54 | 0.01, −0.44–0.45 |
Race (white referent) | −0.01, −0.42–0.40 | −0.21, −0.65–0.22 |
Sex (male referent) | 0.17, −0.17–0.52 | 0.17, −0.17–0.52 |
Education (Bachelor’s+ referent) | ||
High school or less | 0.60, 0.12–1.09 | 0.60, 0.06–1.13 |
Some college | 0.15, −0.36–0.66 | 0.12, −0.39–0.64 |
Income ($20K+ referent) | 0.31, −0.04–0.66 | 0.11, −0.30–0.52 |
Note. Multivariable linear regression models included age, race, gender, education, and income as predictors. Bolded text indicates p < .05.