ArticleInternational journal of environmental research and public health2021
Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The role of mood in shaping reactions to smoking cessation messages among adults who smoke: a multimodal investigation.BMC public health · 2024Trial
- Messaging to prevent and reduce young adults' waterpipe tobacco smoking: A randomized trial.Addictive behaviors · 2023Trial
- Young Adults' Responses to E-Cigarette Advertisements: An Examination for Potential Regulation.American journal of preventive medicine · 2026Article
- Developing Mood-Based Computer-Tailored Health Communication for Smoking Cessation: Feasibility Randomized Controlled Trial.JMIR formative research · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundWaterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS.
methodsIn a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (
resultsWe identified different optimal messages when differently weighting the importance of specific attributes or data collection method (self-report, laboratory). Across all scenarios, five messages consistently ranked in the top half: four addressed harms content, both alone and with themes regarding social use and flavors and one addiction alone message. DISCUSSION: Results showed that the self-report and psychophysiological data did not always have the same ranking and differed based on weighting of the two methods. These findings highlight the need to formatively test messages using multiple methods and use an integrated approach when selecting content.
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