ClinicalTrials.gg
CompletedNCT06308081SMARTUpdated Aug 14, 2026

Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens

An interventional study of Tailored in Vaping, Adolescent Behavior and Communication Research, sponsored by Abramson Cancer Center at Penn Medicine. Completed at 1 site in United States. Open to participants aged 13 Years to 20 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-14.

Sponsored by Abramson Cancer Center at Penn Medicine · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
1,155
Allocation
Randomized
Ages
13 Years to 20 Years
Sex
All
01

Study summary

The investigators long-term goal is to reduce tobacco use and tobacco-related health disparities among SGM populations. The objective of Project SMART (Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens) is to evaluate the effectiveness of an sexual gender minority (SGM) -tailored social media intervention to prevent vaping initiation among SGM youth ages 13-20 years. The investigators central hypothesis is that SGM-tailored anti-vaping social media messages will be more effective than existing non-tailored messages to prevent vaping initiation among SGM youth. The scientific premise for this work is based on principles of cultural tailoring in health communication for vulnerable populations, the Health Equity Promotion Model, and the Message Impact Framework. The investigators are developing and evaluating a social media intervention because SGM youth have a high rate of social media use and are more likely to go online for health information than non-SGM youth. Social media, moreover, are increasingly used for health promotion to address health disparities and well-being of SGM populations. The investigators will conduct rapid-cycle feedback with stakeholders including SGM organization leaders to provide input on the message design, testing, and intervention implementation to ensure feasibility and acceptability of the intervention.

Read the detailed description

Aim 1: Explore salient beliefs and cultural tailoring preferences related to vaping initiation among sexual gender minority (SGM) youth to inform the development of anti-vaping social media messages.

Approach: An elicitation survey among 80 SGM youth and focus group discussions among a subsample of 48-64 youth who complete the elicitation survey will explore beliefs related to vaping initiation that SGM youth find most salient. Participants will include US SGM youth, ages 12-18 years, stratified by age (12-15 or 16-18), vaping status (never vaped and are susceptible or have initiated vaping in the past 1 year), and gender identity (cisgender or transgender/gender expansive). The investigators will further explore the social contexts of their vaping behavior and preferences for cultural tailoring of anti-vaping messages (i.e., peripheral, evidential, linguistic, and sociocultural values tailoring) among SGM youth.

Aim 2: Identify promising anti-vaping social media messages and cultural tailoring strategies to reduce vaping initiation among SGM youth.

Approach: Results from Aim 1 and input from community stakeholders will be utilized to develop SGM-tailored social media anti-vaping messages. An online discrete choice experiment among SGM youth ages 13-18 years (n=600) who have never vaped will be used to test the impact of anti-vaping messages and cultural tailoring strategies on perceived message effectiveness to reduce vaping initiation. Results will guide the construction of culturally tailored anti-vaping social media intervention for broader evaluation in Aim 3.

Aim 3: Evaluate the effectiveness of repeated exposure to SGM-tailored anti-vaping social media messages on subsequent vaping susceptibility among SGM youth.

Approach: The investigators will conduct a prospective 2-group randomized experiment among 1500 SGM youth and young adults ages 13-20 to test the hypothesis that repeated exposure to SGM-tailored anti-vaping social media messages will be associated with reduced vaping susceptibility, defined as the extent to which youth are open to vaping, compared with non-tailored messages.

02

Conditions studied

  • Vaping
  • Adolescent Behavior
  • Communication Research

Keywords

  • Communication interventions
  • LGBTQ+ youth
03

In context

Vaping

402 studies on the registry are indexed under Vaping; 95 are open to participants now.

This study's enrollment of 1,155 is above the median of 79 across 322 interventional studies indexed under Vaping.

Browse Vaping studies →

Lead sponsor

Abramson Cancer Center at Penn Medicine is the lead sponsor of 460 studies on the registry; 87 are open to participants now.

Of its 33 completed or terminated interventional studies of FDA-regulated products, 14 (42%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
13 Years to 20 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Identify as SGM
  • ages 13-20
  • not vaped or used other tobacco products in the past 30 days
  • have access to a smartphone
  • Able to read and speak in English
  • willing to receive messages via texting for the study
  • susceptible to e-cigarette use at intake (i.e., those do not state "definitely not" to all three susceptibility questions).

Exclusion criteria

Exclusion Criteria:

  • Current vapers
  • Non-SGM youth
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,155 participants (actual)

Study arms

  • Experimental
    Tailored

    Participants in the tailored arm will receive SGM-tailored anti-vaping health messages delivered via text message

    Other: Tailored

  • No intervention
    Non-Tailored

    Participants in the non-tailored arm will receive non-tailored anti-vaping health messages delivered via text message

Interventions

  • OtherTailored

    Messages will be in the form of high-quality English-language anti-vaping messages comprising static text and imagery designed to resemble social media posts (e.g., image and a caption). We will create 24 messages based on the top-ranked tailoring features and belief themes tested in Aim 2 to comprise SGM-tailored messages. For the non-tailored message condition, we will create 24 anti-vaping social media messages that mirror the SGM-tailored messages but do not contain SGM identity cues. We will match the belief themes used in the tailored and non-tailored messages such that they represent a range of belief targets (e.g., addiction, physical health effects, mental health effects) as indicated in Aims 1 and 2. We do not utilize a social media platform for the delivery of the message to avoid potential contamination across randomized conditions.

    Also known as: SGM tailored messages

06

What researchers measure

Primary outcomes

  1. Susceptibility to vaping

    We will measure susceptibility to vaping using four items previously used on PATH Wave 7 youth questionnaire and NYTS 2022 Questionnaire: 1. Have you ever been curious about using an e-cigarette or other electronic nicotine products? (1 = Not at all curious; 2 = A little curious; 3 = Somewhat curious; 4 = Very curious) 2. Do you think you will use an e-cigarette or an electronic nicotine product in the next year? (1 = Definitely not; 2 = Probably not; 3 = Probably yes; 4 = Definitely yes) 3. Do you think you will use an e-cigarette or an electronic nicotine product soon? (1 = Definitely not; 2 = Probably not; 3 = Probably yes; 4 = Definitely yes) 4. If one of your best friends were to offer you an e-cigarette or an electronic nicotine product, would you use it? (1 = Definitely not; 2 = Probably not; 3 = Probably yes; 4 = Definitely yes) The responses to these items will be averaged to create a score of vaping susceptibility.

    Time frame: One week, Two weeks, Three weeks, and One month

Secondary outcomes

  1. Vaping initiation

    We will measure vaping initiation in the past 1 week using one item: 1\) Have you used an e-cigarette or vape, even once or twice in the past week? (1 = Yes; 2 = No)

    Time frame: One week, Two weeks, Three weeks, and One month

07

Study locations

1 site
  • University of Pennsylvania
    Philadelphia, Pennsylvania 19104, United States
08

References and documents

Publications

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  • Seo DC, Kwon E, Lee S, Seo J. Using susceptibility measures to prospectively predict ever use of electronic cigarettes among adolescents. Prev Med. 2020 Jan;130:105896. doi: 10.1016/j.ypmed.2019.105896. Epub 2019 Nov 12. PubMed 31730945 ↗
  • Noar SM, Gottfredson NC, Kieu T, Rohde JA, Hall MG, Ma H, Fendinger NJ, Brewer NT. Impact of Vaping Prevention Advertisements on US Adolescents: A Randomized Clinical Trial. JAMA Netw Open. 2022 Oct 3;5(10):e2236370. doi: 10.1001/jamanetworkopen.2022.36370. PubMed 36227597 ↗
  • Kasza KA, Edwards KC, Tang Z, Stanton CA, Sharma E, Halenar MJ, Taylor KA, Donaldson E, Hull LC, Day H, Bansal-Travers M, Limpert J, Zandberg I, Gardner LD, Hammad HT, Borek N, Kimmel HL, Compton WM, Hyland A. Correlates of tobacco product initiation among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016). Tob Control. 2020 May;29(Suppl 3):s191-s202. doi: 10.1136/tobaccocontrol-2020-055671. PubMed 32321853 ↗
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  • Sawdey MD, Day HR, Coleman B, Gardner LD, Johnson SE, Limpert J, Hammad HT, Goniewicz ML, Abrams DB, Stanton CA, Pearson JL, Kaufman AR, Kimmel HL, Delnevo CD, Compton WM, Bansal-Travers M, Niaura RS, Hyland A, Ambrose BK. Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013-2014). Addict Behav. 2019 Apr;91:51-60. doi: 10.1016/j.addbeh.2018.11.027. Epub 2018 Nov 17. PubMed 30473246 ↗
  • Trinidad DR, Pierce JP, Sargent JD, White MM, Strong DR, Portnoy DB, Green VR, Stanton CA, Choi K, Bansal-Travers M, Shi Y, Pearson JL, Kaufman AR, Borek N, Coleman BN, Hyland A, Carusi C, Kealey S, Leas E, Noble ML, Messer K. Susceptibility to tobacco product use among youth in wave 1 of the population Assessment of tobacco and health (PATH) study. Prev Med. 2017 Aug;101:8-14. doi: 10.1016/j.ypmed.2017.05.010. Epub 2017 May 17. PubMed 28526392 ↗
  • Lazard AJ. Social Media Message Designs to Educate Adolescents About E-Cigarettes. J Adolesc Health. 2021 Jan;68(1):130-137. doi: 10.1016/j.jadohealth.2020.05.030. Epub 2020 Jul 9. PubMed 32654836 ↗
  • Charlton BM, Reisner SL, Agenor M, Gordon AR, Sarda V, Austin SB. Sexual Orientation Disparities in Human Papillomavirus Vaccination in a Longitudinal Cohort of U.S. Males and Females. LGBT Health. 2017 Jun;4(3):202-209. doi: 10.1089/lgbt.2016.0103. Epub 2017 May 3. PubMed 28467238 ↗
  • Tabaac AR, Haneuse S, Johns M, Tan ASL, Austin SB, Potter J, Lindberg L, Charlton BM. Sexual and reproductive health information: Disparities across sexual orientation groups in two cohorts of U.S. women. Sex Res Social Policy. 2021 Sep;18(3):612-620. doi: 10.1007/s13178-020-00485-3. Epub 2020 Jul 22. PubMed 34484460 ↗
  • Guss CE, Woolverton GA, Borus J, Austin SB, Reisner SL, Katz-Wise SL. Transgender Adolescents' Experiences in Primary Care: A Qualitative Study. J Adolesc Health. 2019 Sep;65(3):344-349. doi: 10.1016/j.jadohealth.2019.03.009. Epub 2019 Jun 18. PubMed 31227384 ↗
  • Katz-Wise SL, Ehrensaft D, Vetters R, Forcier M, Austin SB. Family Functioning and Mental Health of Transgender and Gender-Nonconforming Youth in the Trans Teen and Family Narratives Project. J Sex Res. 2018 May-Jun;55(4-5):582-590. doi: 10.1080/00224499.2017.1415291. Epub 2018 Jan 16. PubMed 29336604 ↗
  • Kranzler EC, Gibson LA, Hornik RC. Recall of "The Real Cost" Anti-Smoking Campaign Is Specifically Associated With Endorsement of Campaign-Targeted Beliefs. J Health Commun. 2017 Oct;22(10):818-828. doi: 10.1080/10810730.2017.1364311. Epub 2017 Sep 22. PubMed 28937865 ↗
  • Noar SM, Hall MG, Francis DB, Ribisl KM, Pepper JK, Brewer NT. Pictorial cigarette pack warnings: a meta-analysis of experimental studies. Tob Control. 2016 May;25(3):341-54. doi: 10.1136/tobaccocontrol-2014-051978. Epub 2015 May 6. PubMed 25948713 ↗
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  • Sontag JM, Wackowski OA, Hammond D. Baseline assessment of noticing e-cigarette health warnings among youth and young adults in the United States, Canada and England, and associations with harm perceptions, nicotine awareness and warning recall. Prev Med Rep. 2019 Aug 6;16:100966. doi: 10.1016/j.pmedr.2019.100966. eCollection 2019 Dec. PubMed 31453077 ↗
  • Szymanski DM. Does Internalized Heterosexism Moderate the Link Between Heterosexist Events and Lesbians' Psychological Distress? Sex Roles. 2006 Feb 1;54(3-4):227-234.
  • Testa RJ, Habarth J, Peta J, Balsam K, Bockting W. Development of the Gender Minority Stress and Resilience Measure. Psychology of Sexual Orientation and Gender Diversity. US: Educational Publishing Foundation; 2015;2(1):65-77.
  • Meyer IH, Rossano L, Ellis JM, Bradford J. A brief telephone interview to identify lesbian and bisexual women in random digit dialing sampling. J Sex Res. 2002 May;39(2):139-44. doi: 10.1080/00224490209552133. PubMed 12476246 ↗
  • Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194-200. doi: 10.1080/10705500802222972. PubMed 18696313 ↗
  • Foulds J, Veldheer S, Yingst J, Hrabovsky S, Wilson SJ, Nichols TT, Eissenberg T. Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users. Nicotine Tob Res. 2015 Feb;17(2):186-92. doi: 10.1093/ntr/ntu204. Epub 2014 Oct 19. PubMed 25332459 ↗
  • Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. CDC BRFSS Questionnaires [Internet]. 2018 [cited 2018 May 14]. Available from: https://www.cdc.gov/brfss/questionnaires/index.htm
  • Riley BB, Hughes TL, Wilsnack SC, Johnson TP, Benson P, Aranda F. Validating a Hazardous Drinking Index in a Sample of Sexual Minority Women: Reliability, Validity, and Predictive Accuracy. Subst Use Misuse. 2017 Jan 2;52(1):43-51. doi: 10.1080/10826084.2016.1214150. Epub 2016 Sep 23. PubMed 27661289 ↗
  • Doxbeck CR. Up in Smoke: Exploring the Relationship between Bullying Victimization and E-Cigarette Use in Sexual Minority Youths. Subst Use Misuse. 2020;55(13):2221-2229. doi: 10.1080/10826084.2020.1797809. Epub 2020 Jul 28. PubMed 32720554 ↗
  • Frost DM, Meyer IH. Measuring community connectedness among diverse sexual minority populations. J Sex Res. 2012;49(1):36-49. doi: 10.1080/00224499.2011.565427. Epub 2011 May 24. PubMed 21512945 ↗
  • Johns MM, Pingel ES, Youatt EJ, Soler JH, McClelland SI, Bauermeister JA. LGBT community, social network characteristics, and smoking behaviors in young sexual minority women. Am J Community Psychol. 2013 Sep;52(1-2):141-54. doi: 10.1007/s10464-013-9584-4. PubMed 23783884 ↗
  • Burkhalter JE, Warren B, Shuk E, Primavera L, Ostroff JS. Intention to quit smoking among lesbian, gay, bisexual, and transgender smokers. Nicotine Tob Res. 2009 Nov;11(11):1312-20. doi: 10.1093/ntr/ntp140. Epub 2009 Sep 24. PubMed 19778994 ↗
  • Rideout V, Robb MB. Social media, social life: Teens reveal their experiences [Internet]. San Francisco, CA: Common Sense Media; 2018. Available from: https://www.commonsensemedia.org/sites/default/files/uploads/research/2018_cs_socialmediasociallife_fullreport-final-release_2_lowres.pdf
  • Hatzenbuehler ML, Keyes KM, Hamilton A, Hasin DS. State-level tobacco environments and sexual orientation disparities in tobacco use and dependence in the USA. Tob Control. 2014 Nov;23(e2):e127-32. doi: 10.1136/tobaccocontrol-2013-051279. Epub 2014 Feb 25. PubMed 24570099 ↗
  • Hatzenbuehler ML, Wieringa NF, Keyes KM. Community-level determinants of tobacco use disparities in lesbian, gay, and bisexual youth: results from a population-based study. Arch Pediatr Adolesc Med. 2011 Jun;165(6):527-32. doi: 10.1001/archpediatrics.2011.64. PubMed 21646585 ↗
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Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Feb 2024 to primary completion in Aug 2025, 17 months.

Of 184 non-industry interventional studies with no phase under Vaping, half reached primary completion within 20 months of starting (the median), counting those still running; a quarter within 9 and three quarters within 35. This study's 17 months is below that.

Counting every sponsor, half of 208 studies reached it within 18 months; a quarter within 6 and three quarters within 31.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 3, 2024
First posted
Mar 13, 2024
StartActual
Feb 21, 2024
Primary completionActual
Aug 15, 2025
CompletionActual
Aug 15, 2025
Last update
Aug 14, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06308081
Responsible party
Andy Tan (Associate Professor of Communication, Abramson Cancer Center at Penn Medicine) — Principal investigator
First posted
Mar 13, 2024
Start date
Feb 21, 2024
Primary completion
Aug 15, 2025
Completion
Aug 15, 2025
Last update
Aug 14, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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