Sponsor study identifier
Secondary identifiers
interventional
139
1 country
1
Study Start
February 4, 2019
Actual (reported)Primary Completion
December 9, 2021
Actual (reported)Study Completion
December 9, 2021
Actual (reported)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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 9, 2021
Actual (reported)Click on a node to explore related trials.
Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
December 20, 2018
Actual (reported)December 24, 2018
Actual (reported)February 4, 2019
Actual (reported)December 9, 2021
Actual (reported)December 9, 2021
Actual (reported)September 26, 2025
Actual (reported)Implicit Positive Smoking Expectancies, Measured by the Implicit Association Test
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
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
Participants in the e-cigarette ad exposure condition will view e-cigarette ads on the computer screen while having their eye movements tracked
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 e-cigarette TV commercials
Participants view a series of non e-cigarette TV commercials
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Contact the study team to confirm eligibility.
Dartmouth-Hithchock Medical Center
Lebanon, New Hampshire, 03756, United States
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/
James Sargent, MD
Geisel School of Medicine at Dartmouth College
Diane Gilbert-Diamond, ScD
Geisel School of Medicine at Dartmouth College
139 participants (actual enrollment reported by the registry).
First Submitted
December 20, 2018
First Posted
December 24, 2018
Study Start
February 4, 2019
Actual (reported)Implicit Positive Vaping Expectancies, Measured by the Implicit Association Test
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
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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.
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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.
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Primary Completion
December 9, 2021
Actual (reported)Study Completion
December 9, 2021
Actual (reported)Last Updated
September 26, 2025
Results First Posted
September 26, 2025
Record last verified: 2025-09
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Source: ClinicalTrials.gov.
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