Literature DB >> 10788738

Massachusetts' advertising against light cigarettes appears to change beliefs and behavior.

L T Kozlowski1, B Yost, M M Stine, C Celebucki.   

Abstract

OBJECTIVES: This study examined the effects of advertising directed against light cigarettes (lights).
METHODS: In a quasi-experimental post-test-only design, smokers and ex-smokers (</=1 year) in Massachusetts (MASS) (N=500) and the continental United States (U.S. ) (N=501) took part in random-digit dialing telephone interviews. We used multiple logistic regression analyses to control for gender, education, and age effects.
RESULTS: Compared with the U.S., the MASS sample contained more, recent ex-smokers (10% vs. 7% in the U.S.) and more smokers of higher tar cigarettes (44% vs. 35% smokers of regular cigarettes); more U.S. respondents thought lights had at least a slim chance of reducing the risk of health problems (49% vs. 32%). Within MASS, smokers who saw anti-light ads were less likely to think lights decreased the risk of health problems (26% vs. 44%) and more likely to know of filter vents (64% vs. 47%). These effects remained statistically reliable after adjusting for confounders.
CONCLUSIONS: Amidst extensive anti-smoking efforts, the MASS campaign to counter-market light cigarettes appears to promote smoking cessation and to inform smokers of the risks of light cigarettes. Further counter-marketing efforts should be encouraged.

Mesh:

Year:  2000        PMID: 10788738     DOI: 10.1016/s0749-3797(00)00125-2

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  14 in total

1.  Beliefs about "Light" and "Ultra Light" cigarettes and efforts to change those beliefs: an overview of early efforts and published research.

Authors:  L T Kozlowski; J L Pillitteri
Journal:  Tob Control       Date:  2001       Impact factor: 7.552

2.  Do "Light" cigarettes undermine cessation?

Authors:  J R Hughes
Journal:  Tob Control       Date:  2001       Impact factor: 7.552

3.  Effect of health messages about "Light" and "Ultra Light" cigarettes on beliefs and quitting intent.

Authors:  S Shiffman; J L Pillitteri; S L Burton; J M Rohay; J G Gitchell
Journal:  Tob Control       Date:  2001       Impact factor: 7.552

Review 4.  Cigarette filter ventilation is a defective design because of misleading taste, bigger puffs, and blocked vents.

Authors:  L T Kozlowski; R J O'Connor
Journal:  Tob Control       Date:  2002-03       Impact factor: 7.552

5.  The cigarette pack as image: new evidence from tobacco industry documents.

Authors:  M Wakefield; C Morley; J K Horan; K M Cummings
Journal:  Tob Control       Date:  2002-03       Impact factor: 7.552

6.  Impact of corrective health information on consumers' perceptions of "reduced exposure" tobacco products.

Authors:  Lois Biener; Karen Bogen; Gregory Connolly
Journal:  Tob Control       Date:  2007-10       Impact factor: 7.552

7.  Using eye-tracking to examine how embedding risk corrective statements improves cigarette risk beliefs: Implications for tobacco regulatory policy.

Authors:  Kirsten Lochbuehler; Kathy Z Tang; Valentina Souprountchouk; Dana Campetti; Joseph N Cappella; Lynn T Kozlowski; Andrew A Strasser
Journal:  Drug Alcohol Depend       Date:  2016-05-02       Impact factor: 4.492

8.  Affecting perceptions of harm and addiction among college waterpipe tobacco smokers.

Authors:  Isaac M Lipkus; Thomas Eissenberg; Rochelle D Schwartz-Bloom; Alexander V Prokhorov; Janet Levy
Journal:  Nicotine Tob Res       Date:  2011-04-06       Impact factor: 4.244

Review 9.  Systematic review of health branding: growth of a promising practice.

Authors:  W Douglas Evans; Jonathan Blitstein; Donna Vallone; Samantha Post; Wendy Nielsen
Journal:  Transl Behav Med       Date:  2015-03       Impact factor: 3.046

10.  Graphic-enhanced information improves perceived risks of cigar smoking.

Authors:  Andrew A Strasser; Heather Orom; Kathy Z Tang; Rachel L Dumont; Joseph N Cappella; Lynn T Kozlowski
Journal:  Addict Behav       Date:  2011-04-09       Impact factor: 3.913

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