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| ID | Type | Description | Link |
|---|---|---|---|
| 4R00DA046563-04 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Drug Abuse (NIDA) | NIH |
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While conventional cigarette use continues to decline among youth and young adults, e-cigarette (EC) use is on the rise. Specifically, the investigators will conduct a randomized control trial (RCT) where young adults are randomized to one of two conditions: 1) a regulated ad environment, with high impact EC ad features removed or 2) an unregulated ad environment, with high impact EC ad features left intact. Participants will view EC ads embedded in an online magazine 24 times over the course of 6 months. EC experimentation and sustained use will be the primary outcome of interest.
While conventional cigarette use continues to decline among youth and young adults, e-cigarette (EC) use is on the rise. The use of ECs during young adulthood, particularly 18 years of age, is especially alarming because it is not only a critical period in development but also a time when tobacco use is established. Additionally, the tobacco industry targets individuals of this age with the hope that they will one day progress to using combustible cigarettes. Advertising may be one of the reasons leading young people to use ECs, and the Food and Drug Administration (FDA) now has the authority to regulate EC advertisement features. The goal of the proposed study is to determine which EC ad features most strongly influence young adults' attitudes, susceptibility, and intentions to use ECs, and determine if the restriction of these ad features influences EC attitudes, experimentation, and sustained use. The investigators will experimentally estimate the causal effect of restricting high impact EC ad features on tobacco use behavior. Specifically, the investigators will conduct a randomized control trial (RCT) where young adults are randomized to one of two conditions: 1) a regulated ad environment, with high impact EC ad features removed or 2) an unregulated ad environment, with high impact EC ad features left intact. Participants will view EC ads embedded in an online magazine 24 times over the course of 6 months. EC experimentation and sustained use will be the primary outcome of interest. We will also examine how sensation seeking, impulsivity, and sleep health impact EC use. Findings from this study will provide public health officials important and urgently needed information as to what advertising features are contributing to the sharp rise in the use of ECs among young adults, and if restrictions reduce the use of ECs among young adults.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Unregulated ad condition | Active Comparator | This arm will include exposure to unregulated e-cigarette ads or ads as they appear in modern media. |
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| Regulated ad condition | Experimental | This arm will include exposure to regulated e-cigarette ads or ads where we have taken out the appealing features. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Regulated ad condition | Other | This intervention will determine if restriction of appealing features in e-cigarette ads deter young adults from trying the product. |
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| Measure | Description | Time Frame |
|---|---|---|
| Tobacco Use at 1 Month | Use of any tobacco products | 1 month |
| Tobacco Use at 3 Months | Use of any tobacco products | 3 months |
| Tobacco Use at 6 Months | Use of any tobacco products | 6 months |
| Perceived Severity of Using E-Cigarettes at 1 Month | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. | 1 month |
| Perceived Severity of Using E-Cigarettes at 3 Months | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UMass Chan Medical School Stevens Lab | Worcester | Massachusetts | 01605 | United States |
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Enrollment was N=195, however, prior to assignment, 9 participants stopped responding to communications from study staff including the initial survey, and thus were never assigned to a arm/group.
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| ID | Title | Description |
|---|---|---|
| FG000 | Unregulated ad Condition | This arm will include exposure to unregulated e-cigarette ads or ads as they appear in modern media. Unregulated ad condition: This intervention will determine if unrestricted appealing features in e-cigarette ads deter young adults from trying the product. |
| FG001 | Regulated ad Condition | This arm will include exposure to regulated e-cigarette ads or ads where we have taken out the appealing features. Regulated ad condition: This intervention will determine if restriction of appealing features in e-cigarette ads deter young adults from trying the product. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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Participants were included in the analysis if they had at least baseline and 6-month data.
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| ID | Title | Description |
|---|---|---|
| BG000 | Unregulated ad Condition | This arm will include exposure to unregulated e-cigarette ads or ads as they appear in modern media. Unregulated ad condition: This intervention will determine if unrestricted appealing features in e-cigarette ads deter young adults from trying the product. |
| BG001 |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Tobacco Use at 1 Month | Use of any tobacco products | Posted | Count of Participants | Participants | 1 month |
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Adverse events were collected over the course of 6 months.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Unregulated ad Condition | This arm will include exposure to unregulated e-cigarette ads or ads as they appear in modern media. Unregulated ad condition: This intervention will determine if unrestricted appealing features in e-cigarette ads deter young adults from trying the product. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Elise Stevens, Assistant Professor | University of Massachusetts Chan Medical School | (774) 455-6684 | 56684 | elise.stevens@umassmed.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Apr 3, 2025 | Apr 3, 2025 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D064424 | Tobacco Use |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| Unregulated ad condition | Other | This intervention will determine if unrestricted appealing features in e-cigarette ads deter young adults from trying the product. |
|
| 3 months |
| Perceived Severity of Using E-Cigarettes at 6 Months | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. | 6 months |
| Motivation to Avoid E-Cigarettes at 1 Month | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | 1 Month |
| Motivation to Avoid E-Cigarettes at 3 Months | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | 3 Months |
| Motivation to Avoid E-Cigarettes at 6 Months | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | 6 Months |
| Behavioral Intentions at 1 Month | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | 1 month |
| Behavioral Intentions at 3 Months | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | 3 months |
| Behavioral Intentions at 6 Months | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | 6 months |
| Number of Participants With Biochemical Verification of Tobacco Use at 1 Month | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | 1 month |
| Number of Participants With Biochemical Verification of Tobacco Use at 3 Months | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | 3 months |
| Number of Participants With Biochemical Verification of Tobacco Use at 6 Months | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | 6 months |
| Regulated ad Condition |
This arm will include exposure to regulated e-cigarette ads or ads where we have taken out the appealing features. Regulated ad condition: This intervention will determine if restriction of appealing features in e-cigarette ads deter young adults from trying the product. |
| BG002 | Total | Total of all reporting groups |
| Participants |
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| Age, Continuous | Mean | Standard Deviation | years |
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| Sex/Gender, Customized | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| Primary | Tobacco Use at 3 Months | Use of any tobacco products | Posted | Count of Participants | Participants | 3 months |
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| Primary | Tobacco Use at 6 Months | Use of any tobacco products | Posted | Count of Participants | Participants | 6 months |
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| Primary | Perceived Severity of Using E-Cigarettes at 1 Month | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. | Posted | Mean | Standard Deviation | units on a scale | 1 month |
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| Primary | Perceived Severity of Using E-Cigarettes at 3 Months | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. | Posted | Mean | Standard Deviation | units on a scale | 3 months |
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| Primary | Perceived Severity of Using E-Cigarettes at 6 Months | Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use. | Posted | Mean | Standard Deviation | units on a scale | 6 months |
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| Primary | Motivation to Avoid E-Cigarettes at 1 Month | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | Posted | Mean | Standard Deviation | score on a scale | 1 Month |
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| Primary | Motivation to Avoid E-Cigarettes at 3 Months | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | Posted | Mean | Standard Deviation | score on a scale | 3 Months |
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| Primary | Motivation to Avoid E-Cigarettes at 6 Months | Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation. | Posted | Mean | Standard Deviation | score on a scale | 6 Months |
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| Primary | Behavioral Intentions at 1 Month | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | Posted | Mean | Standard Deviation | score on a scale | 1 month |
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| Primary | Behavioral Intentions at 3 Months | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | Posted | Mean | Standard Deviation | score on a scale | 3 months |
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| Primary | Behavioral Intentions at 6 Months | Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions. | Posted | Mean | Standard Deviation | score on a scale | 6 months |
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| Primary | Number of Participants With Biochemical Verification of Tobacco Use at 1 Month | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | Posted | Count of Participants | Participants | 1 month |
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| Primary | Number of Participants With Biochemical Verification of Tobacco Use at 3 Months | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | Posted | Count of Participants | Participants | 3 months |
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| Primary | Number of Participants With Biochemical Verification of Tobacco Use at 6 Months | Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past ~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure. | Posted | Count of Participants | Participants | 6 months |
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| 0 |
| 94 |
| 0 |
| 94 |
| 0 |
| 94 |
| EG001 | Regulated ad Condition | This arm will include exposure to regulated e-cigarette ads or ads where we have taken out the appealing features. Regulated ad condition: This intervention will determine if restriction of appealing features in e-cigarette ads deter young adults from trying the product. | 0 | 92 | 0 | 92 | 0 | 92 |
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