Literature DB >> 33124482

A Content Analysis of U.S. Adults' Open-Ended Responses to E-Cigarette Risk Messages.

Yachao Li1, Bo Yang2, Katherine Henderson3, Lucy Popova3.   

Abstract

To better understand the processing of e-cigarette prevention messages, we conducted a content analysis of 1,968 participants' open-ended responses to one of four messages, which focused on industry manipulation (Big tobacco), financial and psychological cost of vaping (Can't afford), harmful chemicals in e-cigarettes (Formaldehyde), or uncertainty about the ingredients of e-liquids (Top secret). Health Belief Model (HBM) and perceived message effectiveness (PME) constructs were coded and the frequency of each variable was compared across message conditions. Among the HBM constructs, perceived health threat had the most mentions overall (38.8%). Self-efficacy of staying away from vaping had the fewest mentions across all messages (0.56%). For PME, participants more frequently mentioned message perceptions (15.75% positive message perceptions, 8.38% negative) than effect perceptions (3.46% positive effect perceptions, 1.37% negative). Big tobacco received the highest number of mentions for positive message perceptions and Formaldehyde received the highest number of mentions for positive effect perceptions. Future anti-vaping messages are recommended to address the efficacy element and to combine different themes to communicate harms of e-cigarettes.

Entities:  

Mesh:

Year:  2020        PMID: 33124482      PMCID: PMC8085203          DOI: 10.1080/10410236.2020.1837427

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  33 in total

1.  A longitudinal study of risk perceptions and e-cigarette initiation among college students: Interactions with smoking status.

Authors:  Maria Cooper; Alexandra Loukas; Kathleen R Case; C Nathan Marti; Cheryl L Perry
Journal:  Drug Alcohol Depend       Date:  2018-01-31       Impact factor: 4.492

2.  Trends in Electronic Cigarette Use Among U.S. Adults: Use is Increasing in Both Smokers and Nonsmokers.

Authors:  Robert C McMillen; Mark A Gottlieb; Regina M Whitmore Shaefer; Jonathan P Winickoff; Jonathan D Klein
Journal:  Nicotine Tob Res       Date:  2014-11-06       Impact factor: 4.244

3.  Assessing the effectiveness of antismoking television advertisements: do audience ratings of perceived effectiveness predict changes in quitting intentions and smoking behaviours?

Authors:  Emily Brennan; Sarah J Durkin; Melanie A Wakefield; Yoshihisa Kashima
Journal:  Tob Control       Date:  2013-04-20       Impact factor: 7.552

4.  'The lesser devil you don't know': a qualitative study of smokers' responses to messages communicating comparative risk of electronic and combusted cigarettes.

Authors:  Daniel Owusu; Rachel Lawley; Bo Yang; Katherine Henderson; Brittaney Bethea; Christopher LaRose; Sam Stallworth; Lucy Popova
Journal:  Tob Control       Date:  2019-04-30       Impact factor: 7.552

5.  Variations in state use of antitobacco message themes predict youth smoking prevalence in the USA, 1999-2005.

Authors:  Jeff Niederdeppe; Rosemary Avery; Sahara Byrne; Tyseer Siam
Journal:  Tob Control       Date:  2014-12-30       Impact factor: 7.552

6.  Does Perceived Message Effectiveness Predict the Actual Effectiveness of Tobacco Education Messages? A Systematic Review and Meta-Analysis.

Authors:  Seth M Noar; Joshua Barker; Trevor Bell; Marco Yzer
Journal:  Health Commun       Date:  2018-11-28

7.  Electronic Cigarette Sales in the United States, 2013-2017.

Authors:  Brian A King; Doris G Gammon; Kristy L Marynak; Todd Rogers
Journal:  JAMA       Date:  2018-10-02       Impact factor: 56.272

Review 8.  The Health Belief Model: a decade later.

Authors:  N K Janz; M H Becker
Journal:  Health Educ Q       Date:  1984

9.  Evaluating the actual and perceived effectiveness of E-cigarette prevention advertisements among adolescents.

Authors:  Seth M Noar; Jacob A Rohde; Hannah Prentice-Dunn; Alex Kresovich; Marissa G Hall; Noel T Brewer
Journal:  Addict Behav       Date:  2020-05-19       Impact factor: 3.913

10.  An experimental study of messages communicating potential harms of electronic cigarettes.

Authors:  Daniel Owusu; Zachary Massey; Lucy Popova
Journal:  PLoS One       Date:  2020-10-21       Impact factor: 3.240

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  1 in total

1.  Perceived Message Effectiveness: Do People Need to Think About Message Effectiveness to Report the Message as Effective?

Authors:  Lucy Popova; Yachao Li
Journal:  Health Educ Behav       Date:  2022-01-26
  1 in total

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