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Cited by 316

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Mass media and smoking cessation: a critical review.

Flay, B R·1987·American Journal of Public Health

Abstract

Evaluations of 40 mass media programs/campaigns designed to influence cigarette smoking were reviewed. Information/motivation programs/campaigns generally produced changes in awareness, knowledge, and attitudes. Extensive national campaigns also produced meaningful behavioral change. Programs/campaigns designed to promote some specific smoking-related action produced mixed results, depending in large part on the type of promotion involved. Mass media cessation clinics were found to be effective, with media plus social support being more effective than viewing plus printed material, and either combination being more effective than viewing alone. It was concluded that mass media health promotion programs can be more effective than many academics may have thought, but that the knowledge necessary to ensure such success is seriously lacking. Research studies, rather than simple evaluations, are needed to improve our knowledge base and build a science of mass media health promotion.

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Cites

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Metadata

Authors
Flay, B. R.
Venue
American Journal of Public Health
Published
1987-02
Volume
77
Issue
2
Pages
153-160
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2127871782
Cited by
316
References
37
FWCI
18.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mass media and smoking cessation: a critical review. https://app.cochat.ai/papers/10.2105/ajph.77.2.153
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Flay, B. R. (1987). Mass media and smoking cessation: a critical review. American Journal of Public Health. https://doi.org/10.2105/ajph.77.2.153

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.