Multivariable logistic regression models for odds of supporting policies to regulate smoking in movies, by exposure to tobacco-specific media messages. American Smoking and Health Survey (ASHES) 2 (2003)
| Response in support of proposed policies to regulate smoking in movies | ||||||||||
| Anti-smoking PSAs should be required before movies which show smoking | Anti-smoking PSAs should be required before movie trailers (TV) which show smoking | Producers and actors should not be allowed to accept money for including smoking in movies | Cigarette brand names and logos should not be allowed to appear in movies | As with violence and sex, movies with smoking should be rated ‘R’ | ||||||
| (n=2287) | (n=2288) | (n=2279) | (n=2292) | (n=2276) | ||||||
| OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | |
| Exposure to news coverage of tobacco or anti-tobacco information†‡ | ||||||||||
| News: dangers to kids | 1.29** | (1.06 to 1.58) | 1.23* | (1.01 to 1.50) | 1.10 | (0.87 to 1.36) | 1.11 | (0.90 to 1.37) | 1.25* | (1.02 to 1.53) |
| Ads: dangers to kids | 1.16 | (0.95 to 1.44) | 1.26* | (1.02 to 1.55) | 1.30* | (1.08 to 1.63) | 1.39** | (1.11 to 1.73) | 1.30** | (1.05 to 1.61) |
| Ads: talking to kids | 1.34*** | (1.10 to 1.62) | 1.22* | (1.01 to 1.48) | 1.06 | (0.86 to 1.31) | 1.13 | (0.92 to 1.38) | 1.12 | (0.92 to 1.37) |
| Exposure to pro-tobacco advertising†§ | ||||||||||
| Ads for cigarettes in newspaper | 0.94 | (0.78 to 1.15) | 1.06 | (0.87 to 1.28) | 1.18 | (0.96 to 1.46) | 1.35** | (1.10 to 1.66) | 1.25* | (1.02 to 1.52) |
| Ads for cigarettes in magazine | 0.90 | (0.74 to 1.09) | 0.89 | (0.73 to 1.07) | 0.96 | (0.79 to 1.20) | 0.71*** | (0.58 to 0.87) | 0.79* | (0.65 to 0.97) |
| Ads for cigarettes on internet | 0.97 | (0.74 to 1.29) | 0.83 | (0.63 to 1.08) | 0.83 | (0.63 to 1.11) | 0.78 | (0.59 to 1.03) | 0.93 | (0.70 to 1.23) |
↵* p<0.05
↵** p<0.01
↵*** p<0.0001.
ORs and 95% CIs for fitted logistic regression models that describe respondent odds of supporting policies to regulate smoking portrayal in movies, by exposure to tobacco-specific media messages, controlling for smoking status, education, income, race/ethnicity, age, sex, knowledge of the negative effects of tobacco and state. All estimates are weighted.
↵† Questions representing exposure to news coverage and anti-tobacco and pro-tobacco advertising were asked only of respondents who reported at least some media exposure in the past 30 days (eg, television, radio, newspaper, magazine or internet).
↵‡ In past 30 days, saw news coverage or advertising about the dangers of kids being around cigarette smoke, or advertising about talking to kids about not smoking
↵§ In past 30 days, saw advertising or promotions for cigarettes or other tobacco products in: newspaper, magazine or on the internet.
PSAs, public service advertisements.