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Helping Individuals to Understand Synergistic Risks: An Assessment of Message Contents Depicting Mechanistic and Probabilistic Concepts

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  • Ian G. J. Dawson
  • Johnnie E. V. Johnson
  • Michelle A. Luke

Abstract

Accumulating evidence shows that certain hazard combinations interact to present synergistic risks. However, little is known about the most effective ways of helping individuals to understand this complex risk concept. More specifically, there is an absence of empirical research that has assessed the relative efficacy of messages that explain either the causal mechanism and/or the probabilistic components of synergistic risks. In an experiment designed to address this issue, we presented participants with messages concerning the synergistic risk of developing esophageal cancer for individuals who consume both tobacco and alcohol. Relative to a control group, we compared the extent to which messages featuring content detailing the underlying biological mechanism, the probabilistic risk, or both improved understanding of the synergistic risk. Our results showed that messages containing details of both the mechanism and probabilistic information were most effective at enabling individuals to understand that the alcohol‐tobacco combination presents a synergistic risk. In addition, large improvements in the accuracy of cancer frequency estimates were observed amongst individuals who received probabilistic information, and the highest relative increase in professed willingness to adopt precautionary behaviors was observed amongst individuals who received the mechanism information only. Importantly, these findings could be utilized in the development of a general model for the communication of synergistic risks. Furthermore, in contrast to previous findings, our study demonstrates that risk messages can be both effective and efficient in helping individuals to acquire a greater understanding of synergistic risks. Acquiring such knowledge could lead to significant improvements in risk‐related decisions concerning combined hazards.

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  • Ian G. J. Dawson & Johnnie E. V. Johnson & Michelle A. Luke, 2013. "Helping Individuals to Understand Synergistic Risks: An Assessment of Message Contents Depicting Mechanistic and Probabilistic Concepts," Risk Analysis, John Wiley & Sons, vol. 33(5), pages 851-865, May.
    • Handle: RePEc:wly:riskan:v:33:y:2013:i:5:p:851-865
    DOI: 10.1111/j.1539-6924.2012.01878.x
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    1. Rocio Garcia-Retamero & Mirta Galesic & Gerd Gigerenzer, 2010. "Do Icon Arrays Help Reduce Denominator Neglect?," Medical Decision Making, , vol. 30(6), pages 672-684, November.
    2. Ian G. J. Dawson & Johnnie E. V. Johnson & Michelle A. Luke, 2012. "Do People Believe Combined Hazards Can Present Synergistic Risks?," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 801-815, May.
    3. Boeije, Hennie R. & Janssens, A.C.J.W.A. Cecile J. W., 2004. "'It might happen or it might not': how patients with multiple sclerosis explain their perception of prognostic risk," Social Science & Medicine, Elsevier, vol. 59(4), pages 861-868, August.
    4. repec:cup:judgdm:v:6:y:2011:i:7:p:638-650 is not listed on IDEAS
    5. Vincent James Cogliano, 1997. "Plausible Upper Bounds: Are Their Sums Plausible?," Risk Analysis, John Wiley & Sons, vol. 17(1), pages 77-84, February.
    6. Isaac M. Lipkus & Greg Samsa & Barbara K. Rimer, 2001. "General Performance on a Numeracy Scale among Highly Educated Samples," Medical Decision Making, , vol. 21(1), pages 37-44, February.
    7. Nathan F. Dieckmann & Paul Slovic & Ellen M. Peters, 2009. "The Use of Narrative Evidence and Explicit Likelihood by Decisionmakers Varying in Numeracy," Risk Analysis, John Wiley & Sons, vol. 29(10), pages 1473-1488, October.
    8. Dominic Golding & Sheldon Krimsky & Alonzo Plough, 1992. "Evaluating Risk Communication: Narrative vs. Technical Presentations of Information About Radon," Risk Analysis, John Wiley & Sons, vol. 12(1), pages 27-35, March.
    9. Sarah E. Hampson & Judy A. Andrews & Michael E. Lee & Lyn S. Foster & Russell E. Glasgow & Edward Liechtenstein, 1998. "Lay Understanding of Synergistic Risk: The Case of Radon and Cigarette Smoking," Risk Analysis, John Wiley & Sons, vol. 18(3), pages 343-350, June.
    10. Sarah E. Hampson & Judy A. Andrews & Maureen Barckley & Michael E. Lee & Edward Lichtenstein, 2003. "Assessing Perceptions of Synergistic Health Risk: A Comparison of Two Scales," Risk Analysis, John Wiley & Sons, vol. 23(5), pages 1021-1029, October.
    11. Carmen Keller & Michael Siegrist & Vivianne Visschers, 2009. "Effect of Risk Ladder Format on Risk Perception in High‐ and Low‐Numerate Individuals," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1255-1264, September.
    12. Vivianne H. M. Visschers & Ree M. Meertens & Wim W. F. Passchier & Nanne N. K. De Vries, 2009. "Probability Information in Risk Communication: A Review of the Research Literature," Risk Analysis, John Wiley & Sons, vol. 29(2), pages 267-287, February.
    13. Eduardo B. Andrade, 2005. "Behavioral Consequences of Affect: Combining Evaluative and Regulatory Mechanisms," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 355-362, December.
    14. David French & Stephen Sutton & Ann Louise Kinmonth & Theresa Marteau, 2006. "Assessing Perceptions of Risks due to Multiple Hazards," Journal of Risk Research, Taylor & Francis Journals, vol. 9(6), pages 657-682.
    15. Garcia-Retamero, Rocio & Galesic, Mirta, 2010. "Who proficts from visual aids: Overcoming challenges in people's understanding of risks," Social Science & Medicine, Elsevier, vol. 70(7), pages 1019-1025, April.
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    1. Ian G. J. Dawson, 2018. "Assessing the Effects of Information About Global Population Growth on Risk Perceptions and Support for Mitigation and Prevention Strategies," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2222-2241, October.
    2. Ian G. J. Dawson & Johnnie E. V. Johnson & Michelle A. Luke, 2017. "One Too Many? Understanding the Influence of Risk Factor Quantity on Perceptions of Risk," Risk Analysis, John Wiley & Sons, vol. 37(6), pages 1157-1169, June.
    3. Ian G. J. Dawson & Johnnie E. V. Johnson, 2014. "Growing Pains: How Risk Perception and Risk Communication Research Can Help to Manage the Challenges of Global Population Growth," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1378-1390, August.

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