- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03786042
Trial on the Effect of E-cigarette Advertising on Cigarette Perceptions in Adolescents
September 5, 2025 updated by: Diane Gilbert-Diamond, Trustees of Dartmouth College
Does Exposure to Electronic Nicotine Delivery Systems Advertising Affect Positive Smoking Expectancies and Social Normative Beliefs About Smoking?
This research aims to investigate how exposure to advertising for Electronic Nicotine Delivery Systems (commonly called e-cigarettes) may lead to combustible smoking initiation in adolescents.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
[3/14/2020]: Study recruitment temporarily halted due to the COVID-19 pandemic
Study Type
Interventional
Enrollment (Actual)
139
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
New Hampshire
-
Lebanon, New Hampshire, United States, 03756
- Dartmouth-Hithchock Medical Center
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
14 years to 17 years (Child)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
-
Exclusion Criteria:
- Exclusion criteria will include inadequate English proficiency, and diagnosis of a learning or vision disorder.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: E-cigarette ad exposure
Participants in the e-cigarette ad exposure condition will view e-cigarette ads on the computer screen while having their eye movements tracked
|
Participants view a series of e-cigarette TV commercials
|
|
Sham Comparator: non e-cigarette ad exposure
Participants in the non e-cigarette ad exposure condition will view non e-cigarette ads on the computer screen while having their eye movements tracked
|
Participants view a series of non e-cigarette TV commercials
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Implicit Positive Smoking Expectancies, Measured by the Implicit Association Test
Time Frame: within 5 minutes post intervention
|
Scores are measured by recording the amount of time (milliseconds) it takes to categorize smoking-related words with positive (e.g., cool) and negative (e.g., cancer) words.
Faster reaction times when categorizing smoking-related words with positive words is evidence of higher positive smoking expectancies.
|
within 5 minutes post intervention
|
|
Amount of Time Spent Looking at Static Smoking Cues in E-cigarette Advertisements
Time Frame: approximately 30 minutes post intervention
|
Eye-tracking will be used to measure the amount of time (milliseconds) spent looking at static smoking cues in screen shots taken from e-cigarette advertisements.
The amount time spent looking at a smoking cue is a measure how much attention was given to the smoking cue.
The longer the looking time, the greater amount of attention.
|
approximately 30 minutes post intervention
|
|
Implicit Positive Vaping Expectancies, Measured by the Implicit Association Test
Time Frame: within 5 minutes post intervention
|
Scores are measured by recording the amount of time (milliseconds) it takes to categorize vaping-related words with positive (e.g., cool) and negative (e.g., cancer) words.
Faster reaction times when categorizing smoking-related words with positive words is evidence of higher positive smoking expectancies.
|
within 5 minutes post intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Amount of time looking at dynamic smoking cues in e-cigarette advertisements
Time Frame: During the intervention, approximately 15 minutes post baseline
|
Eye-tracking will be used to measure the total amount of time spent looking in realtime at smoking cues in TV commercials for e-cigarettes.
The amount of time looking at smoking cues will be a measure of the amount of attention given to smoking cues.
The longer the amount of time spent looking at smoking cues indicates that a greater amount of attention was given to the smoking cues.
|
During the intervention, approximately 15 minutes post baseline
|
|
18-item scale that measures character attributes of actors that appeared in the commercials
Time Frame: approximately 30 minutes post intervention
|
Character Attributes will be collected using a scale that measures participants beliefs about character attributes using the lead in: "I think [Character Name] is: " using a 5-point Likert (1 = strongly disagree; 5 = strongly agree).
There is a total of 6 attributes assessed: 1) smart (smart, intelligent, stupid), 2) successful (successful, achieves goals, gets what he/she wants), 3) attractive (physically attractive, ugly, good-looking), 4) funny (funny, humorous, makes me laugh), 5) respected (respected by others, receives approval, criticized by others), and 6) popular (has lots of friends, well liked, gets support from others).
A total score (form 1 to 5) for each scale is calculated by averaging responses for each question within that scale.
For each scale, a higher total score indicates higher beliefs about that attribute.
|
approximately 30 minutes post intervention
|
|
5-item scale that measure how much participants wish to be like the actors appearing in the commercials.
Time Frame: approximately 30 minutes post intervention
|
This 5-item is scale is used to quantify how much a participant would like to be like an actor appearing in a commercial.
Questions are rated on a 5-point Likert scale (1 = Strongly Disagree; 5 = Strongly agree).
A total identification score (from 1 to 25) is calculated by summing the responses to each question.
A higher total score indicates a higher level of wishful identification.
|
approximately 30 minutes post intervention
|
|
13-item scale to measure risk perception about cigarette use
Time Frame: approximately 30 minutes post intervention
|
This 13-item scale measures risk perceptions associated with cigarette use.
Questions are answered using a sliding percent scale from 0 - 100% in 10% increments.
A risk perception scale is calculated (from 0 to 100) by averaging the responses to each question.
Higher values indicate a higher risk perception.
|
approximately 30 minutes post intervention
|
|
13-item scale to Measure risk perception about e-cigarette use
Time Frame: approximately 30 minutes post intervention
|
This 13-item scale measures risk perceptions associated with e-cigarette use.
Questions are answered using a sliding percent scale from 0 - 100% in 10% increments.
A risk perception scale is calculated (from 0 to 100) by averaging the responses to each question.
Higher values indicate a higher risk perception.
|
approximately 30 minutes post intervention
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: James Sargent, MD, Geisel School of Medicine at Dartmouth College
- Principal Investigator: Diane Gilbert-Diamond, ScD, Geisel School of Medicine at Dartmouth College
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Gilbert-Diamond D, Emond JA, Lansigan RK, Rapuano KM, Kelley WM, Heatherton TF, Sargent JD. Television food advertisement exposure and FTO rs9939609 genotype in relation to excess consumption in children. Int J Obes (Lond). 2017 Jan;41(1):23-29. doi: 10.1038/ijo.2016.163. Epub 2016 Sep 22.
- Heatherton TF, Sargent JD. Does Watching Smoking in Movies Promote Teenage Smoking? Curr Dir Psychol Sci. 2009 Apr 15;18(2):63-67. doi: 10.1111/j.1467-8721.2009.01610.x.
- Bernhardt AM, Wilking C, Gottlieb M, Emond J, Sargent JD. Children's reaction to depictions of healthy foods in fast-food television advertisements. JAMA Pediatr. 2014 May;168(5):422-6. doi: 10.1001/jamapediatrics.2014.140.
- Singh T, Agaku IT, Arrazola RA, Marynak KL, Neff LJ, Rolle IT, King BA. Exposure to Advertisements and Electronic Cigarette Use Among US Middle and High School Students. Pediatrics. 2016 May;137(5):e20154155. doi: 10.1542/peds.2015-4155.
- National Center for Chronic Disease Prevention and Health Promotion (US) Office on Smoking and Health. Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta (GA): Centers for Disease Control and Prevention (US); 2012. Available from http://www.ncbi.nlm.nih.gov/books/NBK99237/
- Pierce JP, Sargent JD, White MM, Borek N, Portnoy DB, Green VR, Kaufman AR, Stanton CA, Bansal-Travers M, Strong DR, Pearson JL, Coleman BN, Leas E, Noble ML, Trinidad DR, Moran MB, Carusi C, Hyland A, Messer K. Receptivity to Tobacco Advertising and Susceptibility to Tobacco Products. Pediatrics. 2017 Jun;139(6):e20163353. doi: 10.1542/peds.2016-3353.
- Villanti AC, Rath JM, Williams VF, Pearson JL, Richardson A, Abrams DB, Niaura RS, Vallone DM. 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 May;18(5):1331-9. doi: 10.1093/ntr/ntv235. Epub 2015 Nov 16.
- Sargent JD, Beach ML, Adachi-Mejia AM, Gibson JJ, Titus-Ernstoff LT, Carusi CP, Swain SD, Heatherton TF, Dalton MA. Exposure to movie smoking: its relation to smoking initiation among US adolescents. Pediatrics. 2005 Nov;116(5):1183-91. doi: 10.1542/peds.2005-0714.
- Dal Cin S, Gibson B, Zanna MP, Shumate R, Fong GT. Smoking in movies, implicit associations of smoking with the self, and intentions to smoke. Psychol Sci. 2007 Jul;18(7):559-63. doi: 10.1111/j.1467-9280.2007.01939.x.
- National Cancer Institute. The role of the media in promoting and reducing tobacco use. Tobacco control monograph No. 19. (2008).
- Centers for Disease Control and Prevention. Smoking in Movies. Available at: https://www.cdc.gov/tobacco/data_statistics/fact_sheets/youth_data/movies/index.htm. (Accessed: 5 November 2016)
- Duke JC, Lee YO, Kim AE, Watson KA, Arnold KY, Nonnemaker JM, Porter L. Exposure to electronic cigarette television advertisements among youth and young adults. Pediatrics. 2014 Jul;134(1):e29-36. doi: 10.1542/peds.2014-0269. Epub 2014 Jun 2.
- US Department of Health and Human Services. The health consequences of smoking - 50 years of progress. (2014).
- King AC, Smith LJ, Fridberg DJ, Matthews AK, McNamara PJ, Cao D. Exposure to electronic nicotine delivery systems (ENDS) visual imagery increases smoking urge and desire. Psychol Addict Behav. 2016 Feb;30(1):106-12. doi: 10.1037/adb0000123. Epub 2015 Nov 30.
- R, W. & A, S. Handbook of implicit cognition and addiction. (Sage, 2006).
- Booth P, Albery IP, Frings D. Effect of e-cigarette advertisements and antismoking messages on explicit and implicit attitudes towards tobacco and e-cigarette smoking in 18-65-year-olds: a randomised controlled study protocol. BMJ Open. 2017 Jun 23;7(6):e014361. doi: 10.1136/bmjopen-2016-014361.
- Baschnagel JS. Using mobile eye-tracking to assess attention to smoking cues in a naturalized environment. Addict Behav. 2013 Dec;38(12):2837-40. doi: 10.1016/j.addbeh.2013.08.005. Epub 2013 Aug 14.
- Primack BA, Switzer GE, Dalton MA. Improving measurement of normative beliefs involving smoking among adolescents. Arch Pediatr Adolesc Med. 2007 May;161(5):434-9. doi: 10.1001/archpedi.161.5.434.
- Hanewinkel R, Isensee B, Sargent JD, Morgenstern M. Cigarette advertising and teen smoking initiation. Pediatrics. 2011 Feb;127(2):e271-8. doi: 10.1542/peds.2010-2934. Epub 2011 Jan 17.
- Stautz K, Brown KG, King SE, Shemilt I, Marteau TM. Immediate effects of alcohol marketing communications and media portrayals on consumption and cognition: a systematic review and meta-analysis of experimental studies. BMC Public Health. 2016 Jun 9;16:465. doi: 10.1186/s12889-016-3116-8.
- Farrelly MC, Duke JC, Crankshaw EC, Eggers ME, Lee YO, Nonnemaker JM, Kim AE, Porter L. A Randomized Trial of the Effect of E-cigarette TV Advertisements on Intentions to Use E-cigarettes. Am J Prev Med. 2015 Nov;49(5):686-693. doi: 10.1016/j.amepre.2015.05.010. Epub 2015 Jul 7.
- Soneji S, Pierce JP, Choi K, Portnoy DB, Margolis KA, Stanton CA, Moore RJ, Bansal-Travers M, Carusi C, Hyland A, Sargent J. Engagement With Online Tobacco Marketing and Associations With Tobacco Product Use Among U.S. Youth. J Adolesc Health. 2017 Jul;61(1):61-69. doi: 10.1016/j.jadohealth.2017.01.023. Epub 2017 Mar 28.
- Lewis-Esquerre JM, Rodrigue JR, Kahler CW. Development and validation of an adolescent smoking consequences questionnaire. Nicotine Tob Res. 2005 Feb;7(1):81-90. doi: 10.1080/14622200412331328475.
- Grana RA, Ling PM. "Smoking revolution": a content analysis of electronic cigarette retail websites. Am J Prev Med. 2014 Apr;46(4):395-403. doi: 10.1016/j.amepre.2013.12.010.
- Voigt K. Smoking Norms and the Regulation of E-Cigarettes. Am J Public Health. 2015 Oct;105(10):1967-72. doi: 10.2105/AJPH.2015.302764. Epub 2015 Aug 13.
- Hunt K, Sweeting H. You have been QUALIFIED for a smokeless e-cig starter kit. J Epidemiol Community Health. 2014 Aug;68(8):786. doi: 10.1136/jech-2014-203879. Epub 2014 Apr 29. No abstract available.
- Grana R, Benowitz N, Glantz SA. E-cigarettes: a scientific review. Circulation. 2014 May 13;129(19):1972-86. doi: 10.1161/CIRCULATIONAHA.114.007667. No abstract available.
- Tyas SL, Pederson LL. Psychosocial factors related to adolescent smoking: a critical review of the literature. Tob Control. 1998 Winter;7(4):409-20. doi: 10.1136/tc.7.4.409.
- Gerrard, M., Gibbons, F. X., Houlihan, A. E., Stock, M. L. & Pomery, E. A. A dual-process approach to health risk decision making: The prototype willingness model. Dev Rev 28, 29-61 (2008).
- Frith CD, Frith U. Implicit and explicit processes in social cognition. Neuron. 2008 Nov 6;60(3):503-10. doi: 10.1016/j.neuron.2008.10.032.
- Wellman RJ, Sugarman DB, DiFranza JR, Winickoff JP. The extent to which tobacco marketing and tobacco use in films contribute to children's use of tobacco: a meta-analysis. Arch Pediatr Adolesc Med. 2006 Dec;160(12):1285-96. doi: 10.1001/archpedi.160.12.1285.
- Pokhrel P, Fagan P, Herzog TA, Chen Q, Muranaka N, Kehl L, Unger JB. E-cigarette advertising exposure and implicit attitudes among young adult non-smokers. Drug Alcohol Depend. 2016 Jun 1;163:134-40. doi: 10.1016/j.drugalcdep.2016.04.008. Epub 2016 Apr 25.
- Nosek BA. Moderators of the relationship between implicit and explicit evaluation. J Exp Psychol Gen. 2005 Nov;134(4):565-84. doi: 10.1037/0096-3445.134.4.565.
- Field, M. & Wiers, R. in Drug Abuse and Addiction in Medical Illness: Causes, Consequences and Treatment (eds. Verster, J. C., Brady, K., Galanter, M. & Conrod, P.) 35-45 (Springer New York, 2012).
- Hanewinkel R, Sargent JD. Exposure to smoking in internationally distributed American movies and youth smoking in Germany: a cross-cultural cohort study. Pediatrics. 2008 Jan;121(1):e108-17. doi: 10.1542/peds.2007-1201.
- Sargent JD, Beach ML, Dalton MA, Mott LA, Tickle JJ, Ahrens MB, Heatherton TF. Effect of seeing tobacco use in films on trying smoking among adolescents: cross sectional study. BMJ. 2001 Dec 15;323(7326):1394-7. doi: 10.1136/bmj.323.7326.1394.
- Dalton MA, Sargent JD, Beach ML, Titus-Ernstoff L, Gibson JJ, Ahrens MB, Tickle JJ, Heatherton TF. Effect of viewing smoking in movies on adolescent smoking initiation: a cohort study. Lancet. 2003 Jul 26;362(9380):281-5. doi: 10.1016/S0140-6736(03)13970-0.
- Jackson C, Brown JD, L'Engle KL. R-rated movies, bedroom televisions, and initiation of smoking by white and black adolescents. Arch Pediatr Adolesc Med. 2007 Mar;161(3):260-8. doi: 10.1001/archpedi.161.3.260.
- Barnett TE, Soule EK, Forrest JR, Porter L, Tomar SL. Adolescent Electronic Cigarette Use: Associations With Conventional Cigarette and Hookah Smoking. Am J Prev Med. 2015 Aug;49(2):199-206. doi: 10.1016/j.amepre.2015.02.013. Epub 2015 Mar 31.
- Wills TA, Knight R, Williams RJ, Pagano I, Sargent JD. Risk factors for exclusive e-cigarette use and dual e-cigarette use and tobacco use in adolescents. Pediatrics. 2015 Jan;135(1):e43-51. doi: 10.1542/peds.2014-0760. Epub 2014 Dec 15.
- Lochbuehler K, Otten R, Voogd H, Engels RC. Parental smoking and children's attention to smoking cues. J Psychopharmacol. 2012 Jul;26(7):1010-6. doi: 10.1177/0269881112439254. Epub 2012 Feb 27.
- Kersbergen I, Field M. Visual attention to alcohol cues and responsible drinking statements within alcohol advertisements and public health campaigns: Relationships with drinking intentions and alcohol consumption in the laboratory. Psychol Addict Behav. 2017 Jun;31(4):435-446. doi: 10.1037/adb0000284. Epub 2017 May 11.
- Yoshida, E., Peach, J. M., Zanna, M. P. & Spencer, S. J. Not all automatic associations are created equal: How implicit normative evaluations are distinct from implicit attitudes and uniquely predict meaningful behavior. J Exp Soc Psychol 48, 694-706 (2012).
- Andrews JA, Hampson SE, Greenwald AG, Gordon J, Widdop C. Using the Implicit Association Test to Assess Children's Implicit Attitudes toward Smoking. J Appl Soc Psychol. 2010 Sep;40(9):2387-2406. doi: 10.1111/j.1559-1816.2010.00663.x.
- Hine DW, Honan CA, Marks AD, Brettschneider K. Development and validation of the Smoking Expectancy Scale for Adolescents. Psychol Assess. 2007 Sep;19(3):347-55. doi: 10.1037/1040-3590.19.3.347.
- Gilbert, D. G. & Rabinovich, N. E. International smoking series (with neural counterparts) verion 1.2. (1999).
- Macy JT, Chassin L, Presson CC, Yeung E. Exposure to graphic warning labels on cigarette packages: Effects on implicit and explicit attitudes towards smoking among young adults. Psychol Health. 2016;31(3):349-63. doi: 10.1080/08870446.2015.1104309. Epub 2015 Nov 3.
- Wahl SK, Turner LR, Mermelstein RJ, Flay BR. Adolescents' smoking expectancies: psychometric properties and prediction of behavior change. Nicotine Tob Res. 2005 Aug;7(4):613-23. doi: 10.1080/14622200500185579.
- Sargent JD, Worth KA, Beach M, Gerrard M, Heatherton TF. Population-Based Assessment of Exposure to Risk Behaviors in Motion Pictures. Commun Methods Meas. 2008 Jan;2(1-2):134-151. doi: 10.1080/19312450802063404.
- Lochbuehler K, Voogd H, Scholte RH, Engels RC. Attentional bias in smokers: exposure to dynamic smoking cues in contemporary movies. J Psychopharmacol. 2011 Apr;25(4):514-9. doi: 10.1177/0269881110388325. Epub 2010 Nov 23.
- Connor CE, Egeth HE, Yantis S. Visual attention: bottom-up versus top-down. Curr Biol. 2004 Oct 5;14(19):R850-2. doi: 10.1016/j.cub.2004.09.041.
- Dalton MA, Sargent JD, Beach ML, Bernhardt AM, Stevens M. Positive and negative outcome expectations of smoking: implications for prevention. Prev Med. 1999 Dec;29(6 Pt 1):460-5. doi: 10.1006/pmed.1999.0582.
- Fairchild AL, Bayer R, Colgrove J. The renormalization of smoking? E-cigarettes and the tobacco "endgame". N Engl J Med. 2014 Jan 23;370(4):293-5. doi: 10.1056/NEJMp1313940. Epub 2013 Dec 18. No abstract available.
- Distefan JM, Pierce JP, Gilpin EA. Do favorite movie stars influence adolescent smoking initiation? Am J Public Health. 2004 Jul;94(7):1239-44. doi: 10.2105/ajph.94.7.1239.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 4, 2019
Primary Completion (Actual)
December 9, 2021
Study Completion (Actual)
December 9, 2021
Study Registration Dates
First Submitted
December 20, 2018
First Submitted That Met QC Criteria
December 21, 2018
First Posted (Actual)
December 24, 2018
Study Record Updates
Last Update Posted (Estimated)
September 26, 2025
Last Update Submitted That Met QC Criteria
September 5, 2025
Last Verified
September 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- D19034
- 1R21CA232054-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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