ArticleHealth education & behavior : the official publication of the Society for Public Health Education2020
Young Adult Identification and Perception of Hashtag-Based Vaping Claims on Instagram.
Article in Health education & behavior : the official publication of the Society for Public Health Education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- The commercial promotion of electronic cigarettes on social media and its influence on positive perceptions of vaping and vaping behaviours in Anglophone countries: A scoping review.PLOS global public health · 2024Article
- Exposure to e-cigarette health claims and association with e-cigarette use and risk perceptions: A cohort study of young adults.Addictive behaviors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Social media platforms are home to large volumes of ambiguous hashtag-based claims about the health, modified-risk, and cessation benefits of electronic cigarette products (e.g., #Vapingsavedmylife). The objective of this study was to qualitatively explore how young adults interpret these hashtags on the popular platform Instagram. Specifically, we sought to identify if they view these hashtags as making health-related claims, and if they find these claims to be credible and valid. We conducted 12 focus groups in 2018 with non-tobacco users, smokers, dual users, and vapers between the ages of 18 and 24 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.