127
Views
0
CrossRef citations to date
0
Altmetric
Research Article

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

, , , , , & show all
Published online: 20 May 2024
 

Abstract

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.

Acknowledgments

The authors thank Ipsos for their data collection efforts, as well as Catherine Chubb for her graphic design work on the study stimuli.

Disclosure Statement

Seth M. Noar has served as a paid expert witness in litigation against tobacco and e-cigarette companies.

Data Availability Statement

The data underlying this article will be shared on reasonable request to the corresponding author.

Supplementary Material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/10810730.2024.2355299

Notes

1 Susceptible vs. not susceptible to vaping refers to individuals’ likelihood of vaping in the future, whereas perceived susceptibility refers to individuals’ perceived likelihood that they will be negatively impacted by the risks of vaping.

Additional information

Funding

This work was supported by the National Institute on Drug Abuse and FDA Center for Tobacco Products (CTP), under grant number R01DA049155. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the Food and Drug Administration.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 215.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.