Literature DB >> 30049688

Return of cartoon to market e-cigarette-related products.

Jon-Patrick Allem1, Tess Boley Cruz1, Jennifer B Unger1, Ruth Toruno1, Josseline Herrera1, Matthew G Kirkpatrick1.   

Abstract

INTRODUCTION: The tobacco industry's use of cartoons to market products has been shown to be effective at increasing awareness and appeal of combustible cigarettes among youth. While the Master Settlement Agreement placed restrictions on the use of cartoons for major cigarette and smokeless (chew) tobacco brands in the USA, no such restrictions exist for electronic cigarettes (e-cigarettes). Research has shown that e-cigarette manufacturers are using cartoons to market products, but limited data exist on the extent of these practices. This study examined the extent of the use of cartoons to market e-liquids on Instagram.
METHODS: Instagram posts with the hashtag #ejuice or #eliquid were collected from 3 November 2017 to 17 November 2017. Rules were established to identify Cartoon (the post contained a cartoon), Logo (the post was labelled a cartoon due to the logo) and Promo (the image of the post or accompanying text indicated it was a promotion) in the data (n=3481).
RESULTS: Among all posts, 723 (20.77%) contained a Cartoon, and 479 (13.76%) were coded as a cartoon because of the Logo. In other words, 479/723 or (66.25%) of Cartoon were coded as cartoons due to the vendor's or manufacture's logo. Among all posts, 2360 (67.80%) were Promo.
CONCLUSION: Findings indicate that e-cigarette companies are using cartoons to market their products and many of these companies' logos are cartoons. Empirical data are needed to determine whether cartoon marketing strategies impact perceived risk and benefits, product appeal, the intention to use and actual use of e-cigarettes. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  advertising and promotion; electronic nicotine delivery devices; media; packaging and labelling; social marketing

Year:  2018        PMID: 30049688      PMCID: PMC6669092          DOI: 10.1136/tobaccocontrol-2018-054437

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  21 in total

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Journal:  Tob Control       Date:  2005-06       Impact factor: 7.552

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Journal:  Health Psychol       Date:  1995-11       Impact factor: 4.267

5.  Flavorings in electronic cigarettes: an unrecognized respiratory health hazard?

Authors:  Jessica L Barrington-Trimis; Jonathan M Samet; Rob McConnell
Journal:  JAMA       Date:  2014-12-17       Impact factor: 56.272

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8.  RJR Nabisco's cartoon camel promotes camel cigarettes to children.

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Journal:  JAMA       Date:  1991-12-11       Impact factor: 56.272

9.  Carbonyl compounds in electronic cigarette vapors: effects of nicotine solvent and battery output voltage.

Authors:  Leon Kosmider; Andrzej Sobczak; Maciej Fik; Jakub Knysak; Marzena Zaciera; Jolanta Kurek; Maciej Lukasz Goniewicz
Journal:  Nicotine Tob Res       Date:  2014-05-15       Impact factor: 4.244

10.  Images of Little Cigars and Cigarillos on Instagram Identified by the Hashtag #swisher: Thematic Analysis.

Authors:  Jon-Patrick Allem; Patricia Escobedo; Kar-Hai Chu; Tess Boley Cruz; Jennifer B Unger
Journal:  J Med Internet Res       Date:  2017-07-14       Impact factor: 5.428

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  13 in total

1.  Cartoon-based e-cigarette marketing: Associations with susceptibility to use and perceived expectations of use.

Authors:  Matthew G Kirkpatrick; Tess Boley Cruz; Jennifer B Unger; Josseline Herrera; Sara Schiff; Jon-Patrick Allem
Journal:  Drug Alcohol Depend       Date:  2019-06-08       Impact factor: 4.492

2.  Young Adult Identification and Perception of Hashtag-Based Vaping Claims on Instagram.

Authors:  Linnea I Laestadius; Kendall Penndorf; Melissa Seidl; Pallav Pokhrel; Ryan Patrick; Young Ik Cho
Journal:  Health Educ Behav       Date:  2020-06-08

3.  Instagram's #JUUL: who's posting what.

Authors:  Kar-Hai Chu; Sara J Matheny; Jaime E Sidani; Jon-Patrick Allem; Jennifer B Unger; Tess Boley Cruz
Journal:  Transl Behav Med       Date:  2021-02-11       Impact factor: 3.046

4.  Strategies to find audience segments on Twitter for e-cigarette education campaigns.

Authors:  Kar-Hai Chu; Jon-Patrick Allem; Jennifer B Unger; Tess Boley Cruz; Meleeka Akbarpour; Matthew G Kirkpatrick
Journal:  Addict Behav       Date:  2018-11-14       Impact factor: 3.913

5.  Compliance With FDA Nicotine Warning Statement Provisions in E-liquid Promotion Posts on Instagram.

Authors:  Linnea I Laestadius; Megan M Wahl; Julia Vassey; Young Ik Cho
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

6.  Effect of e-cigarette advertisement themes on hypothetical e-cigarette purchasing in price-responsive adolescents.

Authors:  Andrew J Barnes; Rose S Bono; Alyssa K Rudy; Cosima Hoetger; Nicole E Nicksic; Caroline O Cobb
Journal:  Addiction       Date:  2020-05-14       Impact factor: 6.526

7.  Exploring the Point-of-Sale Among Vape Shops Across the United States: Audits Integrating a Mystery Shopper Approach.

Authors:  Carla J Berg; Dianne C Barker; Christina Meyers; Amber Weber; Amy J Park; Akilah Patterson; Sarah Dorvil; Robert T Fairman; Jidong Huang; Steve Sussman; Melvin D Livingston; Theodore L Wagener; Rashelle B Hayes; Kim Pulvers; Betelihem Getachew; Nina Schleicher; Lisa Henriksen
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

8.  E-liquid-related posts to Twitter in 2018: Thematic analysis.

Authors:  Jon-Patrick Allem; Anuja Majmundar; Likhit Dharmapuri; Tess Boley Cruz; Jennifer B Unger
Journal:  Addict Behav Rep       Date:  2019-06-07

9.  Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis.

Authors:  Kar-Hai Chu; Anuja Majmundar; Jon-Patrick Allem; Daniel W Soto; Jennifer B Unger; Tess Boley Cruz
Journal:  J Med Internet Res       Date:  2019-06-04       Impact factor: 5.428

10.  Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.

Authors:  Youshan Zhang; Jon-Patrick Allem; Jennifer Beth Unger; Tess Boley Cruz
Journal:  J Med Internet Res       Date:  2018-11-21       Impact factor: 5.428

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