A randomized trial of the effect of youth appealing e-cigarette advertising on susceptibility to use e-cigarettes among youth

Nicotine and Tobacco Research

Volumn 20, Issue 8, 2018, Pages 954-961

  Padon, Alisa A ^a   Lochbuehler, Kirsten ^b   Maloney, Erin K ^b   Cappella, Joseph N ^b  

^a PUBLIC HEALTH INSTITUTE   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADVERTISING; ARTICLE; CIGARETTE SMOKING; CONTROLLED STUDY; DECISION MAKING; ENVIRONMENTAL FACTOR; FEMALE; GOVERNMENT REGULATION; HUMAN; JUVENILE; MALE; PRIORITY JOURNAL; SMOKING; SOCIAL MARKETING; TOBACCO USE; VAPING; ADOLESCENT BEHAVIOR; ATTITUDE; BEHAVIOR; ELECTRONIC CIGARETTE; EPIDEMIOLOGY; MARKETING; PROCEDURES; PSYCHOLOGY; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL;

ADOLESCENT; ADOLESCENT BEHAVIOR; ADVERTISING AS TOPIC; ATTITUDE; CIGARETTE SMOKING; ELECTRONIC NICOTINE DELIVERY SYSTEMS; FEMALE; HUMANS; INTENTION; MALE; MARKETING; SURVEYS AND QUESTIONNAIRES; VAPING;

EID: 85044284789     PISSN: 14622203     EISSN: 1469994X     Source Type: Journal    
DOI: 10.1093/ntr/ntx155     Document Type: Article

References (47)

1. de Andrade M, Hastings G, Angus K. Promotion of electronic cigarettes: Tobacco marketing reinvented? BMJ. 2013;347(1):f7473.
2. Duke JC, Lee YO, Kim AE, et al. Exposure to electronic cigarette television advertisements among youth and young adults. Pediatrics. 2014;134(1):e29-e36.
3. Bunnell RE, Agaku IT, Arrazola R, et al. Intentions to smoke cigarettes among never-smoking U.S. middle and high school electronic cigarette users, National Youth Tobacco Survey, 2011-2013. Nicotine Tob Res. 2015;17(2):228-235.
4. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. 1st ed. Englewood Cliffs, NJ: Prentice Hall; 1985.
5. U.S. Department of Health and Human Services. Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: Centers for Disease Control and Prevention, National Center on Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2012. http://www.surgeongeneral.gov/library/reports/preventing-youth-Tobacco-use/full-report.pdf. Accessed April 30, 2015.
6. Malm S. Are celebrities making smoking cool again? How stars have boosted the sale of e-cigarettes. Daily Mail Online. http://www.dailymail.co.uk/news/article-2389237/Are-celebrities-making-smoking-cool-How-stars-boostedsale-e-cigarettes.html. Published August 11, 2013. Accessed April 28, 2015.
7. Stanford Research into the Impact of Tobacco Advertising (SRITA). Comparisons: Cigs vs. eCigs. Stanford School of Medicine. http://tobacco.stanford.edu/tobacco-main/subtheme.php?token=fm-Tn-mt035.php. Accessed April 29, 2015.
8. Padon AA, Maloney EK, Cappella JN. Youth-Targeted e-cigarette marketing in the US. Tob Regul Sci. 2017;3(1):95-101.
9. Pokhrel P, Fagan P, Kehl L, Herzog TA. Receptivity to e-cigarette marketing, harm perceptions, and e-cigarette use. Am J Health Behav. 2015;39(1):121-131.
10. Food and Drug Administration. Deeming Tobacco Products to be Subject to the Federal Food, Drug, and Cosmetic Act, As Amended by the Family Smoking Prevention and Tobacco Control Act; Regulations on the Sale and Distribution of Tobacco Products and Required Warning Statements for Tobacco Products. Silver Springs, MD: US Department of Health and Human Services, Food and Drug Administration; 2014
11. U.S. Department of Health and Human Services. E-Cigarette Use Among Youth and Young Adults. A Report of the Surgeon General. Rockville, MD: Centers for Disease Control and Prevention, National Center on Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2016.
12. Padon AA, Rimal RN, DeJong W, Siegel M, Jernigan D. Assessing youthappealing content in alcohol advertisements: Application of a content appealing to youth (CAY) index. Health Commun. 2016:1-10.
13. Brunel F, Tietje B, Greenwald A. Is the implicit association test a valid and valuable measure of implicit consumer social cognition? J Consum Psychol. 2004;14(4):385-404.
14. Rozin P, Singh L. The moralization of cigarette smoking in the United States. J Consum Psychol. 1999;8(3):321-337.
15. Gregg AP, Klymowsky J. The implicit association test in market research: potentials and pitfalls. Psychol Mark. 2013;30(7):588-601.
16. Pokhrel P, Fagan P, Herzog TA, et al. E-cigarette advertising exposure and implicit attitudes among young adult non-smokers. Drug Alcohol Depend. 2016;163:134-140.
17. Blair M, Rosenberg K. Convergent findings increase our understanding of how advertising works. J Advert Res. 1994;34(3):35-45.
18. Farrelly MC, Duke JC, Crankshaw E, et al. A randomized trial of the effect of e-cigarette advertisements on intentions to use e-cigarettes. Am J Prev Med. 2015;49(5):686-693. doi:10.1016/j.amepre.2015.05.010.
19. Barrington-Trimis JL, Berhane K, Unger JB, et al. The e-cigarette social environment, e-cigarette use, and susceptibility to cigarette smoking. J Adolesc Health. 2016;59(1):75-80.
20. Product Decisions tutorial. Categories of Consumer Products. KnowThis. com. 2015. http://www.knowthis.com/product-decisions/categories-ofconsumer-products. Accessed October 28, 2015.
21. Zuckerman M, Ball S, Black J. Influences of sensation seeking, gender, risk appraisal, and situational motivation on smoking. Addict Behav. 1990;15(3):209-220.
22. Coutlee CG, Politzer CS, Hoyle RH, Huettel SA. An abbreviated impulsiveness scale constructed through confirmatory factor analysis of the Barratt Impulsiveness Scale Version 11. Arch Sci Psychol. 2014;2(1):1-12.
23. Spinella M. Normative data and a short form of the Barratt Impulsiveness Scale. Int J Neurosci. 2007;117(3):359-368.
24. Popova L, Ling PM. Nonsmokers' responses to new warning labels on smokeless tobacco and electronic cigarettes: An experimental study. BMC Public Health. 2014;14(1):997.
25. Smith DM, Bansal-Travers M, O'Connor RJ, Goniewicz ML, Hyland A. Associations between perceptions of e-cigarette advertising and interest in product trial amongst US adult smokers and non-smokers: results from an internet-based pilot survey. Tob Induc Dis. 2015;13(1):14.
26. Iyer ES. Unplanned purchasing: knowledge of shopping environment and time pressure. J Retail. 1989;65(1):40.
27. Shiv B, Fedorikhin A. Heart and mind in conflict: The interplay of affect and cognition in consumer decision making. J Consum Res. 1999;26(3):278-292.
28. Shiv B, Fedorikhin A. Spontaneous versus controlled influences of stimulus-based affect on choice behavior. Organ Behav Hum Decis Process. 2002;87(2):342-370.
29. Wanke M, Plessner H, Friese M. When implicit attitude measures predict brand choice and when they don't. AP-Asia Pac Adv Consum Res. 2002;5:206-211.
30. Bluemke M, Friese M. Reliability and validity of the Single-Target IAT (ST-IAT): Assessing automatic affect towards multiple attitude objects. Eur J Soc Psychol. 2008;38(6):977-997.
31. Field M, Mogg K, Bradley BP. Craving and cognitive biases for alcohol cues in social drinkers. Alcohol Alcohol. 2005;40(6):504-510.
32. Field M, Kiernan A, Eastwood B, Child R. Rapid approach responses to alcohol cues in heavy drinkers. J Behav Ther Exp Psychiatry. 2008;39(3):209-218.
33. Kersbergen I, Woud ML, Field M. The validity of different measures of automatic alcohol action tendencies. Psychol Addict Behav. 2015;29(1):225-230.
34. Pieters S, Burk WJ, Van der Vorst H, Wiers RW, Engels RC. The moderating role of working memory capacity and alcohol-specific rule-setting on the relation between approach tendencies and alcohol use in young adolescents. Alcohol Clin Exp Res. 2012;36(5):915-922.
35. Sherman SJ, Chassin L, Presson C, Seo DC, Macy JT. The intergenerational transmission of implicit and explicit attitudes toward smoking. J Exp Soc Psychol. 2009;45(2):313.
36. Nosek BA, Banaji MR. The go/no-go association task. Soc Cogn. 2001;19(6):625-664.
37. Pierce JP, Choi WS, Gilpin EA, Farkas AJ, Merritt RK. Validation of susceptibility as a predictor of which adolescents take up smoking in the United States. Health Psychol. 1996;15(5):355-361.
38. Strong DR, Hartman SJ, Nodora J, et al. Predictive validity of the expanded susceptibility to smoke index. Nicotine Tob Res. 2015;17(7):862-869.
39. Villanti AC, Rath JM, Williams VF, et al. Impact of exposure to electronic cigarette advertising on susceptibility and trial of electronic cigarettes and cigarettes in US young adults: A randomized controlled trial. Nicotine Tob Res. 2016;18(5):1331-1339.
40. Mantey DS, Cooper MR, Clendennen SL, Pasch KE, Perry CL. E-cigarette marketing exposure is associated with e-cigarette use among US youth. J Adolesc Health. 2016;58(6):686-690.
41. Chen MJ, Grube JW, Bersamin M, Waiters E, Keefe DB. Alcohol advertising: what makes it attractive to youth? J Health Commun. 2005;10(6):553-565.
42. Waiters ED, Treno AJ, Grube JW. Alcohol advertising and youth: A focusgroup analysis of what young people find appealing in alcohol advertising. Contemp Drug Probl. 2001;28(4):695.
43. Aitken PP, Leathar DS, Scott AC. Ten-To sixteen-year-olds' perceptions of advertisements for alcoholic drinks. Alcohol Alcohol. 1988;23(6):491-500.
44. Keshari P, Jain S. Effect of age and gender on consumer response to advertising appeals. Paradigm. 2016;20(1):69-82.
45. Stanwick R. E-cigarettes: Are we renormalizing public smoking? Reversing five decades of tobacco control and revitalizing nicotine dependency in children and youth in Canada. Paediatr Child Health. 2015;20(2):1-6.
46. Maloney EK, Cappella JN. Does vaping in e-cigarette advertisements affect tobacco smoking urge, intentions, and perceptions in daily, intermittent, and former smokers? Health Commun. 2016;31(1): 129-138.
47. Karpinski A, Steinman RB. The single category implicit association test as a measure of implicit social cognition. J Pers Soc Psychol. 2006;91(1):16-32.