Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
PHASE3
1000 participants
INTERVENTIONAL
2025-05-01
2025-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
DOUBLE
Study Groups
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Aversive Visual Health Warnings
Study subjects in this arm will be exposed to experimental aversive visual health warnings depicting risks and adverse effects of e-cigarette use. They will answer survey questions about e-cigarette perceptions before and after exposure to health warnings.
Graphic Warning Labels
Based on a thorough review of the literature on e-cigarette risks and adverse effects, a graphic designer will be contracted to create ten experimental aversive health warnings related to e-cigarettes. These warnings will be exported as high-quality images and shown to participants in the intervention group prior to questions that obtain data on the primary endpoint.
No Warnings
Study subjects in this arm will answer the same survey questions about e-cigarette perceptions as those in the experimental arm, but they will not be shown aversive visual health warnings.
No interventions assigned to this group
Interventions
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Graphic Warning Labels
Based on a thorough review of the literature on e-cigarette risks and adverse effects, a graphic designer will be contracted to create ten experimental aversive health warnings related to e-cigarettes. These warnings will be exported as high-quality images and shown to participants in the intervention group prior to questions that obtain data on the primary endpoint.
Eligibility Criteria
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Inclusion Criteria
* Basic understanding of English
* Not institutionalized
* Currently use e-cigarettes at least once per week
18 Years
29 Years
ALL
No
Sponsors
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University of California, San Diego
OTHER
Responsible Party
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Raphael Cuomo
Assistant Professor
Central Contacts
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Other Identifiers
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1422045
Identifier Type: -
Identifier Source: org_study_id
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