Logistic regression predicting support for comprehensive tobacco advertising bans (n=1 02 831)
| Overall (no themes) model | Themes modelled separately | Themes modelled together (Model 6 emerging as the most stable, parsimonious and preferred model) | ||||
| Independent variable | Model 1 B (SE) | Model 2 B (SE) | Model 3 B (SE) | Model 4 B (SE) | Model 5 B (SE) | Model 6 B (SE) |
| Market-level volume of exposure to state antismoking ads— adult/general targeted | 0.00 (0.005) | - | - | - | - | - |
| Market-level volume of exposure to state antismoking ads— adult/general themes | ||||||
| Efficacy appeal | - | 0.01 (0.007) | 0.00 (0.017) | - | - | - |
| Health consequences to others | - | 0.00 (0.009) | −0.04* (0.017) | −0.04* (0.015) | 0.00 (0.012) | - |
| Health consequences to self | - | 0.02* (0.009) | 0.06** (0.021) | 0.06*** (0.015) | - | 0.03** (0.011) |
| Anti-industry appeal | - | 0.00 (0.010) | −0.01 (0.016) | −0.01 (0.012) | 0.00 (0.012) | −0.02 (0.012) |
| Irrationality/ addiction appeal | - | 0.00 (0.015) | 0.00 (0.022) | −0.01 (0.017) | 0.00 (0.017) | −0.01 (0.017) |
| Market-level volume of exposure to state antismoking ads—youth-targeted | 0.02* (0.012) | Full set of control variables included in all models | ||||
| Market-level volume of exposure to truth campaign antismoking ads | 0.00 (0.001) | |||||
| % of state GDP− generated from tobacco farming | ̶ 1.66*** (0.148) | |||||
| Excise tax ($) per pack | 0.11** (0.030) | |||||
| Index of laws restricting youth access to tobacco | 0.00 (0.001) | |||||
| Per capita tobacco control funding | 0.01** (0.003) | |||||
| No of location bans on cigarette use | 0.01 (0.009) | |||||
| Sociodemographic control variables† | included | |||||
| Max VIF in models with multiple exposure measures (theme with highest VIF) | 1.61 (adult) | - | 8.65 (efficacy) | 4.12 (other) | 2.31 (other) | 1.85 (self) |
*p<0.05; **p<0.01; ***p<0.001.
Model 1 presents coefficients for a model that includes the overall volume of adultgeneral-targeted state antismoking ad exposure; Model 2 presents coefficients for separate models in which each state antismoking ad theme variable was the only state ad exposure variable included; Models 3 through 6 present coefficients from models in which various combinations of state antismoking ad theme exposure measures were entered simultaneously in the same model.
†Demographic control variables include dummy variables for categories of age, gender, race, ethnicity, citizenship status, marital status, educational attainment, household income, employment status, student status, number of children living in the household, smoking status, previous (ever) quit attempts and recent (past year) quit attempts.
VIF, variance inflation factor.