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Which Images and Features in Graphic Cigarette Warnings Predict Their Perceived Effectiveness? Findings from an Online Survey of Residents in the UK

Publikation: ArticleBegutachtung

25 Zitate (Scopus)

Abstract

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.

OriginalspracheEnglish
Seiten (von - bis)639-649
Seitenumfang11
FachzeitschriftAnnals of Behavioral Medicine
Jahrgang49
Ausgabenummer5
DOIs
PublikationsstatusPublished - 10 Okt. 2015

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