How Do Behavioral Framing, Linguistic Certainty, and Target Specification Impact Responses to Vaping Prevention Messages?

References

• Ahn, S. J. G. (2015). Incorporating immersive virtual environments in health promotion campaigns: A construal level theory approach. Health Communication, 30(6), 545–556. doi:10.1080/10410236.2013.869650
   PubMed Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Atkin, C. K. (2001). Theory and principles of media health campaigns. In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (3rd ed. pp. 49–68). Sage. doi:10.4135/9781452233260
   Google Scholar
• Backer, T. E., Rogers, E., & Sopory, P. (1992). Designing health communication campaigns: What works?. Newbury Park, California, US: Sage.
   Google Scholar
• Barker, A. B., Buunk, B. P., & Manstead, A. S. R. (1997). The moderating role of self-efficacy beliefs in the relationship between anticipated feelings of regret and condom use 1. Journal of Applied Social Psychology, 27(22), 2001–2014. doi:10.1111/j.1559-1816.1997.tb01637.x
   Web of Science ®Google Scholar
• Berry, D. C., Michas, I. C., & Bersellini, E. (2003). Communicating information about medication: The benefits of making it personal. Psychology & Health, 18(1), 127–139. doi:10.1080/0887044031000080683
   Web of Science ®Google Scholar
• Bertolotti, M., Carfora, V., & Catellani, P. (2020). Different frames to reduce red meat intake: The moderating role of self-efficacy. Health Communication, 35(4), 475–482. doi:10.1080/10410236.2019.1567444
   PubMed Web of Science ®Google Scholar
• Bertolotti, M., Chirchiglia, G., & Catellani, P. (2016). Promoting change in meat consumption among the elderly: Factual and prefactual framing of health and well-being. Appetite, 106, 37–47. doi:10.1016/j.appet.2016.02.150
   PubMed Web of Science ®Google Scholar
• Boynton, M. H., Sanzo, N., Brothers, W., Kresovich, A., Sutfin, E. L., Sheeran, P., & Noar, S. M. (2022). Perceived effectiveness of objective elements of vaping prevention messages among adolescents. Tobacco Control, 32(e2), e228–e235. doi:10.1136/tobaccocontrol-2021-057151
   PubMed Web of Science ®Google Scholar
• Cappella, J. N. (2018). Perceived message effectiveness meets the requirements of a reliable, valid, and efficient measure of persuasiveness. Journal of Communication, 68(5), 994–997. doi:10.1093/joc/jqy044
   PubMed Web of Science ®Google Scholar
• Carfora, V., Biella, M., & Catellani, P. (2022). Affective components in promoting physical activity: A randomized controlled trial of message framing. Frontiers in Psychology, 13, 968109. doi:10.3389/fpsyg.2022.968109
   PubMedGoogle Scholar
• Centers for Disease Control and Prevention. (2019). CDC clear communication index: A tool for developing and assessing CDC public communication products—user guide. Office of the Associate Director for Communication. Retrieved from https://www.cdc.gov/ccindex/pdf/clear-communication-user-guide.pdf
   Google Scholar
• Chang, C. (2011). Enhancing self-referencing to health messages. Journal of Consumer Affairs, 45(1), 147–164. doi:10.1111/j.1745-6606.2010.01196.x
   Web of Science ®Google Scholar
• Cho, H. (Ed.). (2012). Health communication message design: Theory and practice. Thousand Oaks, California, US: Sage.
   Google Scholar
• Clayton, R. B., Leshner, G., Sanders-Jackson, A., & Hendrickse, J. (2020). When counterarguing becomes the primary task: Examination of dogmatic anti-vaping messages on psychological reactance, available cognitive resources, and memory. Journal of Communication, 70(4), 522–547. doi:10.1093/joc/jqaa010
   Web of Science ®Google Scholar
• Cohn, L. D., Schydlower, M., Foley, J., & Copeland, R. L. (1995). Adolescents’ misinterpretation of health risk probability expressions. Pediatrics, 95(5), 713–716. doi:10.1542/peds.95.5.713
   PubMed Web of Science ®Google Scholar
• Cooper, M., Park-Lee, E., Ren, C., Cornelius, M., Jamal, A., & Cullen, K. (2022). Notes from the field: E-cigarette use among middle and high school students — United States, 2022. MMWR Morbidity and Mortality Weekly Report, 71(40), 1283–1285. doi:10.15585/mmwr.mm7140a3
   PubMed Web of Science ®Google Scholar
• Dillard, J. P., Shen, L., & Vail, R. G. (2007). Does perceived message effectiveness cause persuasion or vice versa? 17 consistent answers. Human Communication Research, 33(4), 467–488. doi:10.1111/j.1468-2958.2007.00308.x
   Web of Science ®Google Scholar
• Dillard, J. P., & Ye, S. (2008). The perceived effectiveness of persuasive messages: Questions of structure, referent, and bias. Journal of Health Communication, 13(2), 149–168. doi:10.1080/10810730701854060
   PubMed Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Goodall, C. E., & Reed, P. (2013). Threat and efficacy uncertainty in news coverage about bed bugs as unique predictors of information seeking and avoidance: An extension of the EPPM. Health Communication, 28(1), 63–71. doi:10.1080/10410236.2012.689096
   PubMed Web of Science ®Google Scholar
• Hall, M. G., Grummon, A. H., Maynard, O. M., Kameny, M. R., Jenson, D., & Popkin, B. M. (2019). Causal language in health warning labels and US adults’ perception: A randomized experiment. American Journal of Public Health, 109(10), 1429–1433. doi:10.2105/ajph.2019.305222
   PubMed Web of Science ®Google Scholar
• Hassan, L. M., Parry, S., & Shiu, E. (2022). Exploring responses to differing message content of pictorial alcohol warning labels. International Journal of Consumer Studies, 46(6), 2200–2219. doi:10.1111/ijcs.12779
   Web of Science ®Google Scholar
• Heaps, C. M., & Henley, T. B. (1999). Language matters: Wording considerations in hazard perception and warning comprehension. The Journal of Psychology, 133(3), 341–351. doi:10.1080/00223989909599747
   Web of Science ®Google Scholar
• Hyland, K. (1996). Talking to the academy: Forms of hedging in science research articles. Written Communication, 13(2), 251–281. doi:10.1177/0741088396013002004
   Web of Science ®Google Scholar
• Jensen, J. D., Carcioppolo, N., King, A. J., Bernat, J. K., Davis, L., Yale, R., & Smith, J. (2011). Including limitations in news coverage of cancer research: Effects of news hedging on fatalism, medical skepticism, patient trust, and backlash. Journal of Health Communication, 16(5), 486–503. doi:10.1080/10810730.2010.546491
   PubMed Web of Science ®Google Scholar
• Jensen, J. D., King, A. J., Carcioppolo, N., & Davis, L. (2012). Why are tailored messages more effective? A multiple mediation analysis of a breast cancer screening intervention. Journal of Communication, 62(5), 851–868. doi:10.1111/j.1460-2466.2012.01668.x
   PubMed Web of Science ®Google Scholar
• Jo, C. L., Noar, S. M., Southwell, B. G., & Ribisl, K. M. (2019). Effects of e-cigarette advertising message form and cues on cessation intention: An exploratory study. Journal of Health Communication, 24(5), 570–580. doi:10.1080/10810730.2019.1639857
   PubMed Web of Science ®Google Scholar
• Jun, J., Wen, T. J., & Wu, L. (2021). The effects of self vs. group affirmation and message framing on college students’ vape-free campus policy support. Health Communication, 36(11), 1441–1451. doi:10.1080/10410236.2020.1767446
   PubMed Web of Science ®Google Scholar
• Kalaji, M., Mathios, A. D., Skurka, C., Niederdeppe, J., & Byrne, S. (2022). Youth and young adult-targeted e-cigarette warnings and advertising messages: An experiment with young adults in the US. Journal of Health Communication, 27(8), 574–584. doi:10.1080/10810730.2022.2138640
   PubMed Web of Science ®Google Scholar
• Katz, S. J., Byrne, S., Mathios, A. D., Avery, R. J., Dorf, M. C., Safi, A. G., & Niederdeppe, J. (2020). Testing the effects of certain versus hypothetical language in health risk messages. Communication Monographs, 87(1), 47–69. doi:10.1080/03637751.2019.1640889
   PubMed Web of Science ®Google Scholar
• Kresovich, A., Sanzo, N., Brothers, W., Prentice-Dunn, H., Boynton, M. H. Sutfin EL, Sheeran P, Noar, S. M. (2022). What’s in the message? An analysis of themes and features used in vaping prevention messages. Addictive Behaviors Reports, 15, 100404. doi:10.1016/j.abrep.2021.100404
   PubMedGoogle Scholar
• Kuang, K., & Wang, N. (2022). A longitudinal investigation of information and support seeking processes that alter the uncertainty experiences of mental illness. Communication Monographs, 1–23. doi:10.1080/03637751.2021.2022736
   Web of Science ®Google Scholar
• Kurtzman, R. T., Vereen, R. N., Mendel Sheldon, J., Adams, E. T., Hall, M. G. Brewer NT, Gottfredson NC, Noar, S. M. (2022). Adolescents’ understanding of smoking and vaping risk language: Cognitive interviews to inform scale development. Nicotine & Tobacco Research, 24(11), 1741–1747. doi:10.1093/ntr/ntac127
   PubMed Web of Science ®Google Scholar
• Li, Y., Yang, B., Henderson, K., & Popova, L. (2022). A content analysis of US adults’ open-ended responses to e-cigarette risk messages. Health Communication, 37(3), 285–295. doi:10.1080/10410236.2020.1837427
   PubMed Web of Science ®Google Scholar
• Lustria, M. L. A., Cortese, J., Gerend, M. A., Schmitt, K., Kung, Y. M., & McLaughlin, C. (2016). A model of tailoring effects: A randomized controlled trial examining the mechanisms of tailoring in a web-based STD screening intervention. Health Psychology, 35(11), 1214–1224. doi:10.1037/hea0000399
   PubMed Web of Science ®Google Scholar
• Ma, H., Gottfredson, N., Kieu, C., Rohde, T., Jacob, A. & Noar, S. M. (2023). Examining the longitudinal relationship between perceived and actual message effectiveness: A randomized trial. Health Communication, 1–10. doi:10.1080/10410236.2023.2222459
   Web of Science ®Google Scholar
• Ma, R., & Ma, Z. (2022). “You know nothing about how alcohol might lead to cancer!” Effects of threatening and hedging languages on intentions to reduce and stop drinking. Journal of Health Communication, 27(7), 1–11. doi:10.1080/10810730.2022.2121880
   PubMed Web of Science ®Google Scholar
• Ma, H., & Miller, C. H. (2021). The effects of agency assignment and reference point on responses to COVID-19 messages. Health Communication, 36(1), 59–73. doi:10.1080/10410236.2020.1848066
   PubMed Web of Science ®Google Scholar
• McGlone, M. S., Bell, R. A., Zaitchik, S. T., & McGlynn, J., III. (2013). Don’t let the flu catch you: Agency assignment in printed educational materials about the H1N1 influenza virus. Journal of Health Communication, 18(6), 740–756. doi:10.1080/10810730.2012.727950
   PubMed Web of Science ®Google Scholar
• Miller, C. H., Lane, L. T., Deatrick, L. M., Young, A. M., & Potts, K. A. (2007). Psychological reactance and promotional health messages: The effects of controlling language, lexical concreteness, and the restoration of freedom. Human Communication Research, 33(2), 219–240. doi:10.1111/j.1468-2958.2007.00297.x
   Web of Science ®Google Scholar
• Murray, C. J., Ezzati, M., Lopez, A. D., Rodgers, A., & Vander Hoorn, S. (2003). Comparative quantification of health risks: Conceptual framework and methodological issues. Population Health Metrics, 1(1), 1–20. doi:10.1186/1478-7954-1-1
   PubMedGoogle Scholar
• Nabi, R. (2002). Anger, fear, uncertainty, and attitudes: A test of the cognitive-functional model. Communication Monographs, 69(3), 204–216. doi:10.1080/03637750216541
   Web of Science ®Google Scholar
• Nabi, R. L., Walter, N., Oshidary, N., Endacott, C. G., Love-Nichols, J., Lew, Z. J., & Aune, A. (2020). Can emotions capture the elusive gain-loss framing effect? A meta-analysis. Communication Research, 47(8), 1107–1130. doi:10.1177/0093650219861256
   Web of Science ®Google Scholar
• National Academies of Sciences, Engineering, and Medicine. (2018). Public health consequences of e-cigarettes. Washington, DC: The National Academies Press.
   Google Scholar
• Noar, S. M. (2006). A 10-year retrospective of research in health mass media campaigns: Where do we go from here? Journal of Health Communication, 11(1), 21–42. doi:10.1080/10810730500461059
   PubMed Web of Science ®Google Scholar
• Noar, S. M., Bell, T., Kelley, D., Barker, J., & Yzer, M. (2018). Perceived message effectiveness measures in tobacco education campaigns: A systematic review. Communication Methods and Measures, 12(4), 295–313. doi:10.1080/19312458.2018.1483017
   PubMed Web of Science ®Google Scholar
• Noar, S. M., Gottfredson, N., Vereen, R. N., Kurtzman, R., Sheldon, J. M. … Brewer, N. T. (2021). Development of the UNC perceived message effectiveness scale for youth. Tobacco Control, 32(5), 1–6. doi:10.1136/tobaccocontrol-2021-056929
   Web of Science ®Google Scholar
• Noar, S. M., Kelley, D. E., Boynton, M. H., Morgan, J. C., Hall, M. G. Mendel JR, Ribisl KM, Brewer, N. T. (2018). Identifying principles for effective messages about chemicals in cigarette smoke. Preventive Medicine, 106, 31–37. doi:10.1016/j.ypmed.2017.09.005
   PubMed Web of Science ®Google Scholar
• O’Keefe, D. J. (2012). From psychological theory to message design: Lessons from the story of gain-framed and loss-framed persuasive messages. In H. Cho (Ed.), Health communication message design: theory and practice (pp. 3–20). Thousand Oaks, California, US: Sage.
   Google Scholar
• O’Keefe, D. J., & Jensen, J. D. (2007). The relative persuasiveness of gain-framed loss-framed messages for encouraging disease prevention behaviors: A meta-analytic review. Journal of Health Communication, 12(7), 623–644. doi:10.1080/10810730701615198
   PubMed Web of Science ®Google Scholar
• Pepper, J. K., Squiers, L. B., Peinado, S. C., Bann, C. M., Dolina, S. D. Lynch MM, Nonnemaker JM, McCormack, L. A. (2019). Impact of messages about scientific uncertainty on risk perceptions and intentions to use electronic vaping products. Addictive Behaviors, 91, 136–140. doi:10.1016/j.addbeh.2018.10.025
   PubMed Web of Science ®Google Scholar
• Petrocelli, J. V., Seta, C. E., & Seta, J. J. (2012). Prefactual potency: The perceived likelihood of alternatives to anticipated realities. Personality and Social Psychology Bulletin, 38(11), 1467–1479. doi:10.1177/0146167212453747
   PubMed Web of Science ®Google Scholar
• Rogers, E. M., & Storey, J. D. (1987). Communication campaigns. In C. R. Berger & S. H. Chafee (Eds.), Handbook of communication science (pp. 817–846). University of Michigan: Sage Publications, Inc.
   Google Scholar
• Sanders-Jackson, A., Clayton, R. B., Tan, A. S., & Yie, K. (2019). Testing the effect of vapor in ENDS public service announcements on current smokers and ENDS users’ psychophysiological responses and smoking and vaping urge. Journal of Health Communication, 24(4), 413–421. doi:10.1080/10810730.2019.1630525
   PubMed Web of Science ®Google Scholar
• Soneji, S., Barrington-Trimis, J. L., Wills, T. A., Leventhal, A. M., Unger, J. B., Gibson LA, Yang J, Primack BA, Andrews JA, Miech RA Sargent, J. D. (2017). Association between initial use of e-cigarettes and subsequent cigarette smoking among adolescents and young adults: A systematic review and meta-analysis. JAMA Pediatrics, 171(8), 788–797. doi:10.1001/jamapediatrics.2017.1488
   PubMed Web of Science ®Google Scholar
• Staunton, T. V., Alvaro, E. M., Rosenberg, B. D., & Crano, W. D. (2020). Controlling language and irony: Reducing threat and increasing positive message evaluations. Basic and Applied Social Psychology, 42(5), 369–386. doi:10.1080/01973533.2020.1789464
   Web of Science ®Google Scholar
• Strong, D. R., Hartman, S. J., Nodora, J., Messer, K., James, L., White, M. Portnoy DB, Choiniere CJ, Vullo GC Pierce, J. (2015). Predictive validity of the expanded susceptibility to smoke index. Nicotine & Tobacco Research, 17(7), 862–869. doi:10.1093/ntr/ntu254
   PubMed Web of Science ®Google Scholar
• U.S. Department of Health and Human Services. (2016). E-cigarette use among youth and young adults: A report of the surgeon general.
   Google Scholar
• U.S. Food and Drug Administration. (2022). The real cost E-Cigarette prevention campaign. Retrieved from https://www.fda.gov/tobacco-products/real-cost-campaign/real-cost-e-cigarette-prevention-campaign
   Google Scholar
• Vereen, R. N., Krajewski, T. J., Wu, E. Y., Zhang, J. H., Sanzo, N., & Noar, S. M. (2022). Aided recall of the real cost e-cigarette prevention advertisements among a nationally representative sample of adolescents. Preventive Medicine Reports, 28, 101864. doi:10.1016/j.pmedr.2022.101864
   PubMedGoogle Scholar
• Wirtz, J. G. (2020). Does it matter who’s at risk?: Testing message framing and narrative as moderators of the effects of self-referencing in obesity prevention messages targeting Hispanic adults living in the U.S. Health Marketing Quarterly, 37(1), 22–40. doi:10.1080/07359683.2020.1713576
   PubMedGoogle Scholar
• Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4), 329–349. doi:10.1080/03637759209376276
   Web of Science ®Google Scholar
• Yang, B., Massey, Z. B., & Popova, L. (2022). Effects of modified risk tobacco product claims on consumer comprehension and risk perceptions of IQOS. Tobacco Control, 31(e1), e41–e49. doi:10.1136/tobaccocontrol-2020-056191
   PubMed Web of Science ®Google Scholar
• Yang, F., & Yang, S. (2023). Effects of moral frames within vaping prevention messages on current smokers’ support for electronic cigarette regulations. Journal of Health Communication, 28(7), 1–13. doi:10.1080/10810730.2023.2217104
   Web of Science ®Google Scholar