Skip to main content
Log in

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

  • Original Article
  • Published:
Annals of Behavioral Medicine

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. World Health Organization. Tobacco Free Initiative. Information on global tobacco use; 2012. Available at http://www.who.int/tobacco/health_priority/en/. Accessibility verified June 4, 2014.

  2. World Health Organization. WHO Framework Convention on Tobacco Control. Geneva: World Health Organization; 2003.

    Google Scholar 

  3. Hammond D. Evidence review. In: Tobacco labeling and packaging toolkit, 2012. Available at http://www.tobaccolabels.ca/toolkit. Accessibility verified June 4, 2014.

  4. Canadian Cancer Society. Cigarette Package Health Warnings: International Status Report. 3rd ed. Toronto: Framework Convention Alliance; 2012.

    Google Scholar 

  5. Borland R, Yong HH, Wilson N, et al. How reactions to cigarette packet health warnings influence quitting: Findings from the ITC four-country survey. Addiction. 2009; 104: 669-675.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Cameron LD, Pepper J, Brewer N. Responses of young adults to graphic warning labels for cigarette packages. Tob Control. 2014. doi:10.1136/tobaccocontrol-2012-050645.

    PubMed  Google Scholar 

  7. Hammond D, Fong GT, McDonald PW, Cameron R, Brown KS. Impact of the graphic Canadian warning labels on adult smoking behavior. Tob Control. 2003; 12: 391-395.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  8. Hammond D, Fong G, McDonald PW, Brown S, Cameron R. Graphic Canadian cigarette warning labels and adverse outcomes: Evidence from Canadian smokers. Am J Public Health. 2004; 94: 1442-1445.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Hammond D, Reid JL, Driezen P, Boudreau C. Pictorial health warnings on cigarette packs in the United States: An experimental evaluation of the proposed FDA warnings. Nicotine Tob Res. 2013; 15: 93-102.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Mudur G. Move to weaken picture warnings on tobacco packets in India causes outcry. BMJ. 2007; 335: 366.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Peters GY, Ruiter RAC, Kok G. Threatening communication: A critical re-analysis and a revised meta-analytic test of fear appeal theory. Health Psychol Rev. 2013; 7(sup 1): S8-S31.

    Article  PubMed Central  PubMed  Google Scholar 

  12. British American Tobacco (NZ). BAT's Submission to the Ministry of Health Consultation Paper on the Review of the Smoke-free Environments Regulations. Auckland: British American Tobacco (NZ); 2004.

  13. Chapman S, Carter SM. “Avoid health warnings on all tobacco products for just as long as we can”: A history of Australian tobacco industry efforts to avoid, delay and dilute health warnings on cigarettes. Tob Control. 2003; 12: iii13-iii22.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Ruiter RA, Kok G. Saying is not (always) doing: Cigarette warning labels are useless. Eur J Public Health. 2005; 15: 329-330.

    Article  Google Scholar 

  15. Brown SL, Smith Z. The inhibitory effect of a distressing anti-smoking message on risk perceptions in smokers. Psychol Health. 2007; 22: 255-268.

    Article  Google Scholar 

  16. Harris PR, Mayle K, Mabbott L, Napper L. Self-affirmation reduces smokers’ defensiveness to graphic on-rack cigarette warning labels. Health Psychol. 2007; 4: 437-446.

    Article  Google Scholar 

  17. R.J. Reynolds Tobacco Co. vs U.S. FDA, No. 11–1482, D.D.C. Available at http://www.cadc.uscourts.gov/internet/opinions.nsf/4C0311C78EB11C5785257A64004EBFB5/$file/11-5332-1391191.pdf. Accessibility verified June 4, 2014.

  18. Styles M, Williams B, Humphris G. Is the effectiveness of tobacco image-based labels likely to vary by socio-demographic variables? Findings from an online survey of 19,000 members of the UK Public. Health Educ J. 2012; 72: 351-362.

  19. Leventhal H, Brissette I, Leventhal EA. The common-sense model of self-regulation of health and illness. In: Cameron LD, Leventhal H, eds. The Self-Regulation of Health and Illness Behaviour. London: Routledge; 2003: 42-65.

    Google Scholar 

  20. Cameron LD. Illness risk representations and motivations to engage in protective behavior: The case of skin cancer risk. Psychol Health. 2008; 23: 91-112.

    Article  PubMed  Google Scholar 

  21. Petrie KJ, Cameron LD, Ellis C, Buick D, Weinman J. Changing illness perceptions following myocardial infarction: An early intervention randomized controlled trial. Psychosom Med. 2002; 64: 580-586.

    Article  PubMed  Google Scholar 

  22. Cameron LD, Petrie KJ, Ellis C, Buick D, Weinman J. Trait anxiety and responses to a psychoeducational intervention for promoting adaptive illness perceptions in myocardial infarction patients. Psychol Health. 2005; 1: 1-12.

    Article  Google Scholar 

  23. Phillips LA, Leventhal H, Leventhal E. Physicians’ communication of the common-sense self-regulation model results in greater reported adherence than physicians’ use of interpersonal skills. British J Health Psychol. 2012; 17: 224-257.

    Article  Google Scholar 

  24. Lee TJ, Cameron LD, Wünsche B, Stevens C. A randomized trial of computer-based communications using imagery and text information to alter representations of heart disease risk and motivate protective behaviours. British J Health Psychol. 2011; 16: 72-91.

    Article  Google Scholar 

  25. Cameron LD, Chan CKY. Designing health communications: Harnessing the power of affect, imagery, and self-regulation. Soc Personal Psychol Compass. 2008; 2: 262-282.

    Article  Google Scholar 

  26. Witte K, Allen M. A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Educ Behav. 2000; 27: 608-632.

    Article  Google Scholar 

  27. Emery L, Romer D, Sheerin KM, Jamieson KH, Peters E. Affective and cognitive mediators of the impact of cigarette warning labels. Nicotine Tob Res. 2014; 16: 263-269.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Humphris G, Williams B. Is disgust the driver behind the selection of images for UK tobacco packets? Health Educ J. 2014. doi:10.1177/0017896913496399.

    Google Scholar 

  29. McCaul KD, Mullens AB, Romanek KM, Erickson SC, Gatheridge BJ. The motivational effects of thinking and worrying about the effects of smoking cigarettes. Cogn Emot. 2007; 21: 1580-1798.

    Article  Google Scholar 

  30. European Union. Directive 2001/37/EC of the European parliament and of the council on the approximation of the laws, regulations and administrative provisions of the Member States concerning the manufacture, presentation and sale of tobacco products. Article 5 Labelling. 2001; 1:1–9.

  31. Department of Health. Consultation on the Introduction of Picture Warnings on Tobacco Packs: Report on Consultation. London: Department of Health; 2007.

    Google Scholar 

  32. Office for National Statistics. Chapter 1: Smoking (General Lifestyle Survey Overview—a report on the 2011 General Lifestyle Survey), 2013. Available at http://www.ons.gov.uk/ons/rel/ghs/general-lifestyle-survey/2011/rpt-chapter-1.html. Accessibility verified June 4, 2014.

  33. European Commission. United Kingdom combined warnings, 2005. Available athttp://ec.europa.eu/health/archive/ph_determinants/life_style/tobacco/documents/uk_pictures.pdf. Accessibility verified June 4, 2014.

  34. Cameron LD, Moss-Morris R. Illness-related cognitions and behaviour. In: French D, Vedhara K, Kaptein AA, Weinman JA, eds. Health Psychology. 2nd ed. Oxford: Blackwell; 2010: 84-110.

    Google Scholar 

  35. Chandler D. Semiotics: The Basics. London: Routledge; 2007.

    Google Scholar 

  36. World Health Organization. World Health Organization’s FCTC health warnings database. Available at: http://www.who.int/tobacco/healthwarningsdatabase/en/. Accessibility verified December 19, 2014

  37. SAS Institute Inc. SAS Software Version 9.2. Cary, NC: SAS Institute Inc.; 2012.

  38. Nonnemaker J, Farrelly M, Kamyab K, Busey A, Mann N. Experimental study of graphic cigarette warning labels. Rockville, MD: Center for Tobacco Products, Food and Drug Administration; 2010. Contract No. HHSF-223-2009-10135G.

  39. Williams B, Cameron L. Images in health care: Potential and problems. J Health Serv Res Policy. 2009; 14: 251-254.

    Article  PubMed  Google Scholar 

  40. Hammond D, Thrasher J, Reid JL. Perceived effectiveness of pictorial health warnings among Mexican youth and adults: A population-level intervention with potential to reduce tobacco-related inequities. Cancer Causes Control. 2012; 23: 57-67.

    Article  PubMed  Google Scholar 

  41. Cameron L, Leventhal H, Leventhal E. Symptom representations and affect as determinants of care seeking in a community-dwelling, adult sample population. Health Psychol. 1993; 12: 171-179.

    Article  CAS  PubMed  Google Scholar 

  42. Weinstein ND. Accuracy of smokers’ risk perceptions. Nicotine Tob Res. 1999; 1: S123-S130.

    Article  PubMed  Google Scholar 

  43. Clarke JN, Everest MM. Cancer in the mass print media: Fear, uncertainty and the medical model. Soc Sci Med. 2006; 62: 2591-2600.

    Article  PubMed  Google Scholar 

  44. Durkin SJ, Biener L, Wakefield MA. Effects of different types of antismoking ads on reducing disparities in smoking cessation among socioeconomic subgroups. Am J Public Health. 2009; 99: 2217-2223.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Dunlop S, Wakefield M, Kashima Y. ‘Can you feel it?’ Negative emotion, risk, and narrative in health communication. Media Psychol. 2008; 11: 52-75.

  46. Kreuter MW, Green MC, Cappella JN, et al. Narrative communication in cancer prevention and control: A framework to guide research and application. Ann Behav Med. 2007; 33: 221-235.

    Article  PubMed  Google Scholar 

  47. Thrasher JF, Arillo-Santillan E, Villalobos V, et al. Can pictorial warning labels on cigarette papckages address smoking-related health disparities? Field experiments in Mexico to assess pictorial warning label content. Cancer Causes Control. 2012; 23: 69-80.

    Article  PubMed Central  PubMed  Google Scholar 

  48. Wilson N, Peace J, Li J, Edwards R, et al. Distribution of new graphic warning labels: Are tobacco companies following regulations? Tob Induc Dis. 2009; 5: 14.

    Article  PubMed Central  PubMed  Google Scholar 

  49. White V, Webster B, Wakefield M. Do graphic health warning labels have an impact on adolescents’ smoking-related beliefs and behaviors? Addiction. 2008; 103: 1562-1571.

    Article  PubMed  Google Scholar 

  50. Yong H, Borland R, Thrasher JF, et al. Mediational pathways of the impact of cigarette warning labels on quit attempts. Health Psychol. 2014; 11: 1410-1420.

    Article  Google Scholar 

  51. Weinstein ND, Slovic P, Gibson G. Accuracy and optimism in smokers’ beliefs about quitting. Nicotine Tob Res. 2004; 6: S375-S380.

    Article  PubMed  Google Scholar 

  52. Pbert L, Flint AJ, Young MH, Druker S, DiFranza JR. Effects of a pediatric practice-based smoking prevention and cessation intervention for adolescents: A randomized, controlled trial. Pediatrics. 2008; 121: 738-747.

    Article  Google Scholar 

  53. Michie S, Richardson M, Johnston M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013; 46(1): 81-95.

    Article  PubMed  Google Scholar 

  54. Muller C, Cameron LD. Trait anxiety, information modality, and responses to communications about prenatal genetic testing. J Behav Med. 2014. doi:10.1007/s10865-014-9555-8.

    PubMed  Google Scholar 

  55. Luciani A, Urma D, Marliere S, Chevrier J. PRESENCE: The sense of believability of inaccessible words. Comput Graph. 2004; 1: 509-517.

    Article  Google Scholar 

  56. Rooke S, Malouff J, Copeland J. Effects of repeated exposure to a graphic smoking warning image. Curr Psychol. 2012; 31: 282-290.

    Article  Google Scholar 

  57. Magnan R, Cameron LD. Do young adults perceive that cigarette graphic warnings provide new knowledge about the harms of smoking? Ann Behav Med. 2014. (in press).

  58. Nonnemaker JM, Choiniere CJ, Farrelly MC, Kamyab K, Davis KC. Reactions to graphic health warnings in the United States. Health Educ Res. 2014;Advance Online Publication.

  59. Borland R. Tobacco health warnings and smoking-related cognitions and behaviours. Addiction. 1997; 92: 1427-1435.

    Article  CAS  PubMed  Google Scholar 

  60. Romer D, Peters E, Strasser AA, Langleben D. Desire versus efficacy in smokers’ paradoxical reactions to pictorial health warnings for cigarettes. PLoS One. 2013; 8(1): e54937. doi:10.1371/journal.pone.0054937.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Statement of Conflict of Interest and Adherence to Ethical Standards

Linda D. Cameron and Brian Williams declare that they have no conflict of interest. All procedures were conducted in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linda D. Cameron Ph.D.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12160-015-9693-4

Keywords

Navigation