2018
DOI: 10.1016/j.ypmed.2017.09.005
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Identifying principles for effective messages about chemicals in cigarette smoke

Abstract: US law requires the Food and Drug Administration (FDA) to disclose information on harmful and potentially harmful chemicals in cigarette smoke (i.e., constituents) to the public. To inform this effort, we sought to identify principles for creating constituent messages that effectively discourage smoking. Participants were an online convenience sample of 1148 US smokers ages 18+. We developed a library of 76 messages about constituents only and constituents plus contextualizing information (i.e., toxic products… Show more

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Cited by 37 publications
(30 citation statements)
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(56 reference statements)
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“…7 We then integrated these hazards and harms into novel e-cigarette warnings based on our prior experience with developing tobacco risk communications. [33][34][35][36] Second, we created pictorial health warnings that combined each of the e-cigarette text warnings with a relevant photograph. A professional designer created these photographs using stock photos, stimuli developed in previous research studies and recent news stories about e-cigarette harms.…”
Section: Stimuli Developmentmentioning
confidence: 99%
“…7 We then integrated these hazards and harms into novel e-cigarette warnings based on our prior experience with developing tobacco risk communications. [33][34][35][36] Second, we created pictorial health warnings that combined each of the e-cigarette text warnings with a relevant photograph. A professional designer created these photographs using stock photos, stimuli developed in previous research studies and recent news stories about e-cigarette harms.…”
Section: Stimuli Developmentmentioning
confidence: 99%
“…Limitations include the use of a convenience sample, which may limit the generalizability of study findings. For example, 20% of the sample identified as gay, lesbian, or bisexual, a higher prevalence than in previous MTurk samples 16,29 and in the U.S. population. 45 However, the inclusion of this understudied population at high risk for smoking 46 could also be viewed as a strength of the study.…”
Section: Limitationsmentioning
confidence: 61%
“…A mean centering approach for each message reaction construct was used to tease out person-level and message-level effects. 16,33 Using negative affect as an example, the three negative affect items were averaged to create mean scores for each message rating. Then, each person's mean negative affect score was computed across the three ads (i.e., person-level negative affect).…”
Section: Discussionmentioning
confidence: 99%
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