Published in

MDPI, International Journal of Environmental Research and Public Health, 18(17), p. 6807, 2020

DOI: 10.3390/ijerph17186807

Links

Tools

Export citation

Search in Google Scholar

Smokers’ and Young Adult Non-Smokers’ Perceptions and Perceived Impact of Snus and E-Cigarette Modified Risk Messages

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Although no tobacco products are safe, tobacco companies in the United States may request regulatory authorization to make certain “modified risk tobacco product” (MRTP) claims in their marketing. However, few qualitative studies have explored consumer perceptions and understanding of comparative risk messages and wordings. We examined consumer perceptions of statements indicating reduced risks and exposure to chemicals from snus and e-cigarettes relative to smoking. We conducted 12 focus groups with adult smokers (ages 21–66) and young adult (YA) non-smokers (ages 18–25) (n = 57) in the USA in 2019. Participants shared reactions to modified risk and exposure messages and message variations. Participants largely understood claims, including language about “switching completely.” However, participants expressed desire for more message specificity, evidence, risk reduction reasons, and statistics/quantitative information. Claim believability and acceptance was also limited by existing negative product beliefs and experiences, negative media reports, and skepticism about message source. YAs did not express product interest based on message exposure. Some YAs suggested the included “smoker” language made the messages less interesting/relevant. Given existing proposals for and use of MRTP messages, additional research on their wording, framing, delivery, and effects may help inform regulatory or organizational decisions about such messages, optimize potential benefits, and mitigate unintended consequences.