VapingSMARTNCT06308081
Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens
A study testing Tailored in people with Vaping and Adolescent Behavior, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.
Trial 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)… Read more about this study
- Who is it for?
- Ages 13 to 20 yearsHealthy volunteers can take part
- Conditions the study is for
- Vaping, Adolescent Behavior, Communication Research
- What is being tested?
- Tailored
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 1,155 participants
- Where
- 1 siteUnited States
- Study dates
- 21 Feb 2024to 15 Aug 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 13 to 20 years
- All sexes
- Healthy volunteers accepted
- Child, Adult
Who may be able to join
- 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).
Who cannot join
- Current vapers
- Non-SGM youth
Trial locations and contacts
1 site in 1 country.
United States1 site
University of Pennsylvania
Philadelphia, Pennsylvania, 19104
About this study
Official title: SMART: Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens
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.
- Conditions
- Vaping, Adolescent Behavior, Communication Research
- Being tested
- Tailored
- Keywords
- Communication interventions, LGBTQ+ youth
- Medical subject headings
- Vaping, Adolescent Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
TailoredOther
Also called SGM tailored messages
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.
| Study group | Role | What they receive |
|---|---|---|
| Tailored | Experimental | Participants in the tailored arm will receive SGM-tailored anti-vaping health messages delivered via text message Receives: Other: Tailored |
| Non-Tailored | No intervention | Participants in the non-tailored arm will receive non-tailored anti-vaping health messages delivered via text message |
What is being measured
The primary outcome is the main question the study is designed to answer.
Susceptibility to vaping
We will measure susceptibility to vaping using four items previously used on PATH Wave 7 youth questionnaire and NYTS 2022 Questionnaire:
- 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)
- 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)
- 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)
- 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.
Measured: 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:
- Have you used an e-cigarette or vape, even once or twice in the past week? (1 = Yes; 2 = No)
Measured: One week, Two weeks, Three weeks, and One month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Mar 2024
- Study start21 Feb 2024
- Primary completion15 Aug 2025
- Study completion15 Aug 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (35)Papers the sponsor has linked to this study.
- Other trials for VapingStudies of the same condition, open and under way.
- More trials run by Abramson Cancer Center at Penn MedicineThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants will be randomized to 1 of 2 conditions: SGM-tailored anti-vaping messages versus non-tailored messages. Block randomization will achieve balance across the two conditions based on age group, gender identity, sexual orientation, race, ethnicity, and prior use. Both conditions will receive repeated exposure of messages within their assigned condition daily for 4, up to a total of 24 messages over the course of the study. Messages will be delivered using texting to participants mobile phones. We will record participants' self-reported engagement to the messages at the follow-up survey (after measuring the study outcomes). Participants will be asked to complete a baseline survey comprising vaping susceptibility and characteristics, surveys at 1-, 2-, 3-, and 4-weeks follow-up to measure vaping susceptibility.
- Masking
- None (open label)
- Enrolment
- 1,155 participants (actual)
Sponsor and investigators
- Lead sponsor
- Abramson Cancer Center at Penn Medicine
- Sponsor type
- University, hospital or other
- Collaborators
- University of Florida
- Responsible party
- Principal investigator, Andy Tan, Abramson Cancer Center at Penn Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06308081
- Sponsor's protocol ID
- UPCC 13023
- Other IDs
- 849052
- Acronym
- SMART
- Status last verified
- Aug 2026
- First submitted
- 3 Jan 2024
- Last updated
- 14 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Bold KW, Kong G, Cavallo DA, Camenga DR, Krishnan-Sarin S. E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes. Nicotine Tob Res. 2017 Dec 13;20(1):140-144. doi: 10.1093/ntr/ntw393.
PubMed 28035000Seo 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 31730945Noar 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 36227597Kasza 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 32321853Stanton CA, Sharma E, Seaman EL, Kasza KA, Edwards KC, Halenar MJ, Taylor KA, Day H, Anic G, Hull LC, Bansal-Travers M, Limpert J, Gardner LD, Hammad HT, Borek N, Kimmel HL, Compton WM, Hyland A. Initiation of any tobacco and five tobacco products across 3 years among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016). Tob Control. 2020 May;29(Suppl 3):s178-s190. doi: 10.1136/tobaccocontrol-2019-055573.
PubMed 32321852Sawdey 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 30473246Trinidad 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 28526392Lazard 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 32654836Charlton 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 28467238Tabaac 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 34484460Guss 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 31227384Katz-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 29336604Kranzler 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 28937865Noar 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 25948713Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. New York: Psychology Press; 2010.
Study at a glance
From the registry record, last updated by the sponsor on 14 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- SMART: Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens
- ClinicalTrials.gov ID
- NCT06308081
- Acronym / sponsor ID
- SMART / UPCC 13023
- Conditions
- Vaping, Adolescent Behavior, Communication Research
- Keywords
- Communication interventions, LGBTQ+ youth
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 1,155 participants (actual)
- Lead sponsor
- Abramson Cancer Center at Penn MedicineUniversity, hospital or other
- Collaborators
- University of Florida
- Study start
- 21 Feb 2024 (actual)
- Primary completion
- 15 Aug 2025 (actual)
- Study completion
- 15 Aug 2025 (actual)
- First posted
- 13 Mar 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants will be randomized to 1 of 2 conditions: SGM-tailored anti-vaping messages versus non-tailored messages. Block randomization will achieve balance across the two conditions based on age group, gender identity, sexual orientation, race, ethnicity, and prior use. Both conditions will receive repeated exposure of messages within their assigned condition daily for 4, up to a total of 24 messages over the course of the study. Messages will be delivered using texting to participants mobile phones. We will record participants' self-reported engagement to the messages at the follow-up survey (after measuring the study outcomes). Participants will be asked to complete a baseline survey comprising vaping susceptibility and characteristics, surveys at 1-, 2-, 3-, and 4-weeks follow-up to measure vaping susceptibility.
| Arm | Type | Receives |
|---|---|---|
| Tailored | Experimental | Other: TailoredParticipants in the tailored arm will receive SGM-tailored anti-vaping health messages delivered via text message |
| Non-Tailored | No intervention | –Participants in the non-tailored arm will receive non-tailored anti-vaping health messages delivered via text message |
Who may qualify
- Ages
- 13 to 20 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult
Key inclusion criteria (7 listed)
- 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
Key exclusion criteria (2 listed)
- Current vapers
- Non-SGM youth
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| TailoredAlso: SGM tailored messagesMessages 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. | Other | Tailored |
Primary outcome
Susceptibility to vaping
Time frame: One week, Two weeks, Three weeks, and One month
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.
1 secondary outcome
Vaping initiation
Time frame: One week, Two weeks, Three weeks, and One month
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Aug 2026.
- Background: PubMed 28035000Bold KW, Kong G, Cavallo DA, Camenga DR, Krishnan-Sarin S. E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes. Nicotine Tob Res. 2017 Dec 13;20(1):140-144. doi: 10.1093/ntr/ntw393.
- Background: PubMed 31730945Seo 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.
- Background: PubMed 36227597Noar 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.
- Background: PubMed 32321853Kasza 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.
- Background: PubMed 32321852Stanton CA, Sharma E, Seaman EL, Kasza KA, Edwards KC, Halenar MJ, Taylor KA, Day H, Anic G, Hull LC, Bansal-Travers M, Limpert J, Gardner LD, Hammad HT, Borek N, Kimmel HL, Compton WM, Hyland A. Initiation of any tobacco and five tobacco products across 3 years among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016). Tob Control. 2020 May;29(Suppl 3):s178-s190. doi: 10.1136/tobaccocontrol-2019-055573.
- Background: PubMed 30473246Sawdey 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.
- Background: PubMed 28526392Trinidad 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.
- Background: PubMed 32654836Lazard 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.
- Background: PubMed 28467238Charlton 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.
- Background: PubMed 34484460Tabaac 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.
- Background: PubMed 31227384Guss 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.
- Background: PubMed 29336604Katz-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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Tailored in people with Vaping and Adolescent Behavior, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Susceptibility to vaping (time frame: One week, Two weeks, Three weeks, and One month). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06308081, which also lists 35 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Aug 2026.