Do on-line E-cigarette advertisements and public health messages have an effect on attitudes towards smoking and vaping?
Not Applicable
Completed
- Conditions
- Implicit and Explicit AttitudesNot Applicable
- Registration Number
- ISRCTN13850439
- Lead Sponsor
- ondon South Bank University
- Brief Summary
2017 protocol in https://pubmed.ncbi.nlm.nih.gov/28645957/ (added 23/04/2021)
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 300
Inclusion Criteria
1.18 to 25 years old
2. smoker, vaper or non-smoker but not a dual user (i.e. both smoker and vaper).
Exclusion Criteria
1. Breastfeeding
2. Pregnant
3. Serious medical condition
4. Both a smoker and a vaper
5. Outside the age range of 18 to 25 years old
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <br> 1.Measures of implicit attitude based on reaction time will be collected using two Single Target, Personalised, Implicit Attitude Tests (SC-IAT-P) for E-cigarettes and tobacco cigarettes<br> 2.Measures of explicit attitude will be collected based on ratings from a 7 point Likert scale (strongly agree to strongly disagree) of 10 different bi-polar statements (For example,‘thinking about e-cigarettes/tobacco cigarettes, please indicate if you think they are: bad/good)<br><br> All data will be collected pre-intervention, 48-72 hours later post intervention and at a 1 week follow-up.<br>
- Secondary Outcome Measures
Name Time Method <br> Information will be gathered for experimental control at baseline.<br> 1. Current usage and dependence on cigarettes<br> 2. Strength of beliefs about e-cigarettes<br> 3. Motivation to quit and the number of previous quit attempts<br> 4. Awareness of e-cigarette advertising and anti-smoking campaigns<br>