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

While research on youth vaping prevention has begun to grow, little work has examined language choice in vaping prevention messages. This study examined adolescents' responses to vaping prevention statements that varied on three features: behavioral framing, linguistic certainty, and target specification. We conducted a 2 (behavioral framing) by 2 (linguistic certainty) by 2 (target specification) by 3 (risk type) plus control condition between-subjects experiment using a national probability sample. Adolescents (N = 1,603) were randomly assigned to one of 25 conditions in which they viewed a vaping prevention statement (or a control statement about vape litter) followed by measures of perceived message effectiveness (PME), perceived severity and susceptibility of vaping risks, message trustworthiness, message relevance, and intentions to seek more information about vaping risks. Results showed main effects of behavioral framing, such that a declarative frame ("Vaping can … ") led to higher PME, higher perceived severity, and greater information seeking intentions than a contingent frame ("If you vape, it can…"), while an interaction revealed that most declarative frame effects were driven by adolescents who were susceptible to vaping. There were also main effects of linguistic certainty, such that the word "can" ("Vaping can … ") led to higher PME, higher perceived susceptibility and severity, and greater information seeking intentions than the word "could" ("Vaping could … "). No main effect of target specification ("you" vs. "teens") was observed. Overall, findings suggest that vaping prevention messages that communicate greater certainty have greater behavior change potential.

[1]  S. Noar,et al.  Examining the Longitudinal Relationship Between Perceived and Actual Message Effectiveness: A Randomized Trial , 2023, Health communication.

[2]  Sijia Yang,et al.  Effects of Moral Frames Within Vaping Prevention Messages on Current smokers’ Support for Electronic Cigarette Regulations , 2023, Journal of health communication.

[3]  K. A. Cullen,et al.  Notes from the Field: E-cigarette Use Among Middle and High School Students — United States, 2022 , 2022, MMWR. Morbidity and mortality weekly report.

[4]  P. Catellani,et al.  Affective components in promoting physical activity: A randomized controlled trial of message framing , 2022, Frontiers in Psychology.

[5]  J. Niederdeppe,et al.  Youth and Young Adult-targeted E-cigarette Warnings and Advertising Messages: An Experiment with Young Adults in the US , 2022, Journal of health communication.

[6]  Rong Ma,et al.  “You Know Nothing about How Alcohol Might Lead to Cancer!” Effects of Threatening and Hedging Languages on Intentions to Reduce and Stop Drinking , 2022, Journal of health communication.

[7]  S. Noar,et al.  Aided recall of The Real Cost e-cigarette prevention advertisements among a nationally representative sample of adolescents , 2022, Preventive medicine reports.

[8]  Nisha C. Gottfredson,et al.  Adolescents' understanding of smoking and vaping risk language: Cognitive interviews to inform scale development. , 2022, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[9]  Marcella H. Boynton,et al.  Perceived effectiveness of objective elements of vaping prevention messages among adolescents , 2022, Tobacco Control.

[10]  Louise M. Hassan,et al.  Exploring responses to differing message content of pictorial alcohol warning labels , 2022, International Journal of Consumer Studies.

[11]  Kai Kuang,et al.  A longitudinal investigation of information and support seeking processes that alter the uncertainty experiences of mental illness , 2022, Communication Monographs.

[12]  Marcella H. Boynton,et al.  What’s in the message? An analysis of themes and features used in vaping prevention messages , 2021, Addictive behaviors reports.

[13]  Nisha C. Gottfredson,et al.  Development of the UNC Perceived Message Effectiveness Scale for Youth , 2021, Tobacco Control.

[14]  Zachary B. Massey,et al.  Effects of modified risk tobacco product claims on consumer comprehension and risk perceptions of IQOS , 2021, Tobacco Control.

[15]  Robin L. Nabi,et al.  Can Emotions Capture the Elusive Gain-Loss Framing Effect? A Meta-Analysis , 2020, Communication Research.

[16]  Claude H. Miller,et al.  The Effects of Agency Assignment and Reference Point on Responses to COVID-19 Messages , 2020, Health communication.

[17]  Lucy Popova,et al.  A Content Analysis of U.S. Adults’ Open-Ended Responses to E-Cigarette Risk Messages , 2020, Health communication.

[18]  Russell B. Clayton,et al.  When Counterarguing Becomes the Primary Task: Examination of Dogmatic Anti-Vaping Messages on Psychological Reactance, Available Cognitive Resources, and Memory , 2020 .

[19]  W. Crano,et al.  Controlling Language and Irony: Reducing Threat and Increasing Positive Message Evaluations , 2020 .

[20]  Linwan Wu,et al.  The Effects of Self vs. Group Affirmation and Message Framing on College Students’ Vape-Free Campus Policy Support , 2020, Health communication.

[21]  Michael C. Dorf,et al.  Testing the effects of certain versus hypothetical language in health risk messages , 2020, Communication monographs.

[22]  John G. Wirtz 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. , 2020, Health marketing quarterly.

[23]  Anna H. Grummon,et al.  Causal Language in Health Warning Labels and US Adults' Perception: A Randomized Experiment. , 2019, American journal of public health.

[24]  K. Ribisl,et al.  Effects of E-cigarette Advertising Message Form and Cues on Cessation Intention: An Exploratory Study , 2019, Journal of health communication.

[25]  Russell B. Clayton,et al.  Testing the Effect of Vapor in ENDS Public Service Announcements on Current Smokers and ENDS Users’ Psychophysiological Responses and Smoking and Vaping Urge , 2019, Journal of health communication.

[26]  J. Nonnemaker,et al.  Impact of messages about scientific uncertainty on risk perceptions and intentions to use electronic vaping products. , 2019, Addictive behaviors.

[27]  P. Catellani,et al.  Different Frames to Reduce Red Meat Intake: The Moderating Role of Self-Efficacy , 2019, Health communication.

[28]  J. Cappella Perceived Message Effectiveness Meets the Requirements of a Reliable, Valid, and Efficient Measure of Persuasiveness. , 2018, The Journal of communication.

[29]  S. Noar,et al.  Perceived Message Effectiveness Measures in Tobacco Education Campaigns: A Systematic Review , 2018, Communication methods and measures.

[30]  Laura A. Gibson,et al.  Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults: A Systematic Review and Meta-analysis , 2017, JAMA pediatrics.

[31]  P. Catellani,et al.  Promoting change in meat consumption among the elderly: Factual and prefactual framing of health and well-being , 2016, Appetite.

[32]  Ying Mai Kung,et al.  A model of tailoring effects: A randomized controlled trial examining the mechanisms of tailoring in a web-based STD screening intervention. , 2016, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[33]  Sun Joo Grace Ahn,et al.  Incorporating Immersive Virtual Environments in Health Promotion Campaigns: A Construal Level Theory Approach , 2015, Health communication.

[34]  Sheri J. Hartman,et al.  Predictive Validity of the Expanded Susceptibility to Smoke Index. , 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[35]  Robert A. Bell,et al.  Don't Let the Flu Catch You: Agency Assignment in Printed Educational Materials About the H1N1 Influenza Virus , 2013, Journal of health communication.

[36]  Catherine E. Goodall,et al.  Threat and Efficacy Uncertainty in News Coverage About Bed Bugs as Unique Predictors of Information Seeking and Avoidance: An Extension of the EPPM , 2013, Health communication.

[37]  John V. Petrocelli,et al.  Prefactual Potency , 2012, Personality & social psychology bulletin.

[38]  Andy J. King,et al.  Why are Tailored Messages More Effective? A Multiple Mediation Analysis of a Breast Cancer Screening Intervention. , 2012, The Journal of communication.

[39]  Ronald E. Rice,et al.  Public Communication Campaigns , 2012 .

[40]  Chingching Chang Enhancing Self‐Referencing to Health Messages , 2011 .

[41]  Andy J. King,et al.  Including Limitations in News Coverage of Cancer Research: Effects of News Hedging on Fatalism, Medical Skepticism, Patient Trust, and Backlash , 2011, Journal of health communication.

[42]  J. Dillard,et al.  The Perceived Effectiveness of Persuasive Messages: Questions of Structure, Referent, and Bias , 2008, Journal of health communication.

[43]  Jakob D. Jensen,et al.  The Relative Persuasiveness of Gain-Framed Loss-Framed Messages for Encouraging Disease Prevention Behaviors: A Meta-Analytic Review , 2007, Journal of health communication.

[44]  James Price Dillard,et al.  Does Perceived Message Effectiveness Cause Persuasion or Vice Versa? 17 Consistent Answers , 2007 .

[45]  Claude H. Miller,et al.  Psychological Reactance and Promotional Health Messages: The Effects of Controlling Language, Lexical Concreteness, and the Restoration of Freedom , 2007 .

[46]  S. Noar A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here? , 2006, Journal of health communication.

[47]  Alan D. Lopez,et al.  Comparative quantification of health risks: Conceptual framework and methodological issues , 2003, Population health metrics.

[48]  D. Berry,et al.  Communicating Information About Medication: The Benefits of Making it Personal , 2003 .

[49]  Robin L. Nabi Anger, fear, uncertainty, and attitudes: a test of the cognitive-functional model , 2002 .

[50]  Tracy B. Henley,et al.  Language Matters: Wording Considerations in Hazard Perception and Warning Comprehension , 1999 .

[51]  Antony Stephen Reid Manstead,et al.  The moderating role of self-efficacy beliefs in the relationship between anticipated feelings of regret and condom use , 1997 .

[52]  K. Hyland,et al.  Talking to the Academy , 1996 .

[53]  L D Cohn,et al.  Adolescents' misinterpretation of health risk probability expressions. , 1995, Pediatrics.

[54]  K. Witte Putting the fear back into fear appeals: The extended parallel process model , 1992 .

[55]  Marcella H. Boynton,et al.  Identifying principles for effective messages about chemicals in cigarette smoke. , 2018, Preventive medicine.

[56]  Everett M. Rogers,et al.  Designing Health Communication Campaigns: What Works? , 1992 .