Research Output
Which Images and Features in Graphic Cigarette Warnings Predict Their Perceived Effectiveness? Findings from an Online Survey of Residents in the UK
  Background
Many countries are implementing graphic warnings for cigarettes. Which graphic features influence their effectiveness remains unclear.
Purpose
To identify features of graphic warnings predicting their perceived effectiveness in discouraging smoking.
Method
Guided by the Common-Sense Model of responses to health threats, we content-analyzed 42 graphic warnings for attributes of illness risk representations and media features (e.g., photographs, metaphors). Using data from 15,536 survey participants, we conducted stratified logistic regressions testing which attributes predict participant selections of warnings as effective.
Results
Images of diseased body parts predicted greater perceived effectiveness; OR = 6.53–12.45 across smoking status (smoker, ex-smoker, young non-smoker) groups. Features increasing perceived effectiveness included images of dead or sick persons, children, and medical technology; focus on cancer; and photographs. Attributes decreasing perceived effectiveness included infertility/impotence, addictiveness, cigarette chemicals, cosmetic appearance, quitting self-efficacy, and metaphors.
Conclusions
These findings on representational and media attributes predicting perceived effectiveness can inform strategies for generating graphic warnings.

  • Type:

    Article

  • Date:

    20 February 2015

  • Publication Status:

    Published

  • DOI:

    10.1007/s12160-015-9693-4

  • Cross Ref:

    9693

  • ISSN:

    0883-6612

  • Library of Congress:

    RA0421 Public health. Hygiene. Preventive Medicine

  • Dewey Decimal Classification:

    610 Medicine & health

  • Funders:

    University of Stirling

Citation

Cameron, L. D., & Williams, B. (2015). Which Images and Features in Graphic Cigarette Warnings Predict Their Perceived Effectiveness? Findings from an Online Survey of Residents in the UK. Annals of Behavioral Medicine, 49(5), 639-649. https://doi.org/10.1007/s12160-015-9693-4

Authors

Keywords

Tobacco control, graphic warning labels, Common-sense model, Illness risk representations, health communications, Imagery

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