Responses to E-cigarette Message Source and Presentation

NCT ID: NCT06274723

Last Updated: 2026-01-14

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

848 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-11-05

Study Completion Date

2024-12-17

Brief Summary

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The goal of this clinical trial is to use crowdsourcing to test the effects of a message source (expert and peer) and message presentation types (one-sided and two-sided) to identify the optimal message type for young adults who vape and do not vape.

Detailed Description

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Conditions

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Vaping

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

FACTORIAL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Expert, one-sided

Participants assigned to the expert, one-sidedness condition will receive one-sided e-cigarette messages from an expert source.

Group Type EXPERIMENTAL

Expert, one-sided

Intervention Type OTHER

Participants will view a brief description of an expert source and see one-sided e-cigarette education messages.

Expert, two-sided

Participants assigned to the expert, two-sidedness condition will receive two-sided e-cigarette messages from an expert source.

Group Type EXPERIMENTAL

Expert, two-sided

Intervention Type OTHER

Participants will view a brief description of an expert source and see two-sided e-cigarette education messages.

Peer, one-sided

Participants assigned to the peer, one-sidedness condition will receive one-sided e-cigarette messages from a peer source.

Group Type EXPERIMENTAL

Peer, one-sided

Intervention Type OTHER

Participants will view a brief description of a peer source and see one-sided e-cigarette education messages.

Peer, two-sided

Participants assigned to the peer, two-sidedness condition will receive two-sided e-cigarette messages from a peer source.

Group Type EXPERIMENTAL

Peer, two-sided

Intervention Type OTHER

Participants will view a brief description of a peer source and see two-sided e-cigarette education messages.

Interventions

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Expert, one-sided

Participants will view a brief description of an expert source and see one-sided e-cigarette education messages.

Intervention Type OTHER

Expert, two-sided

Participants will view a brief description of an expert source and see two-sided e-cigarette education messages.

Intervention Type OTHER

Peer, one-sided

Participants will view a brief description of a peer source and see one-sided e-cigarette education messages.

Intervention Type OTHER

Peer, two-sided

Participants will view a brief description of a peer source and see two-sided e-cigarette education messages.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* US residents ages 18-24
* Fluent in English
* Reporting either vaping in the past 30 days or not having vaped in the past 30 days but susceptible to vaping

Exclusion Criteria

* Age less than 18 or above 24
* Not fluent in English
* Not a member of partnering crowdsourcing behavioral research platform conducting the study
Minimum Eligible Age

18 Years

Maximum Eligible Age

24 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Cancer Institute (NCI)

NIH

Sponsor Role collaborator

University of Massachusetts, Worcester

OTHER

Sponsor Role lead

Responsible Party

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Donghee Nicole Lee

Postdoctoral Fellow

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Donghee N Lee, PhD

Role: PRINCIPAL_INVESTIGATOR

UMass Chan Medical School

Locations

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UMass Chan Medical School

Worcester, Massachusetts, United States

Site Status

Countries

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United States

Provided Documents

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Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Other Identifiers

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1K99CA281094-01A1

Identifier Type: NIH

Identifier Source: secondary_id

View Link

STUDY00001220

Identifier Type: -

Identifier Source: org_study_id

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