- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06308081
Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens (SMART)
SMART: Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens
Study Overview
Status
Conditions
Intervention / Treatment
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 Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Andy Tan, PhD
- Phone Number: 215-746-6546
- Email: andy.tan@asc.upenn.edu
Study Contact Backup
- Name: Elaine Hanby, MA
- Phone Number: 2155735140
- Email: elaine.hanby@asc.upenn.edu
Study Locations
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19104
- Recruiting
- University of Pennsylvania
-
Contact:
- Elaine Hanby, MA
- Phone Number: 215-573-5140
- Email: elaine.hanby@asc.upenn.edu
-
Contact:
- Jenine Pilla, MPH
- Email: Jenine.Pilla@asc.upenn.edu
-
Principal Investigator:
- Andy Tan, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Description
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:
- Current vapers
- Non-SGM youth
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Tailored
Participants in the tailored arm will receive SGM-tailored anti-vaping health messages delivered via text message
|
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.
Other Names:
|
No Intervention: Non-Tailored
Participants in the non-tailored arm will receive non-tailored anti-vaping health messages delivered via text message
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
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:
The responses to these items will be averaged to create a score of vaping susceptibility. |
One week, Two weeks, Three weeks, and One month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Vaping initiation
Time Frame: One week, Two weeks, Three weeks, and One month
|
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) |
One week, Two weeks, Three weeks, and One month
|
Collaborators and Investigators
Collaborators
Publications and helpful links
General Publications
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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.
- 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.
- 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.
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- 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.
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- 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
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- 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.
- 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.
- 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.
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Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- UPCC 13023
- 849052 (Other Identifier: University of Pennsylvania)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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