The perceived health effects of e-cigarette use among adult smokers
Bibliographic record
Abstract
Background: Vaping and e-cigarettes have been an epidemic among youths in recent years. In addition, as of April 2020, there has been hundreds of vaping related illnesses causing fatalities. As such there has been increased coverage by media and the government in regard to reporting vaping-related dangers and implementing regulatory changes such as bans. These actions could deter the target population from engaging in vaping – tobacco users. Research has shown that e-cigarettes are significantly less toxic relative to tobacco and that it could be more effective as a cessation treatment relative to nicotine gums or patches. This study surveyed current perceptions of Canadians with regards to vaping in order to determine if certain groups (i.e. varying ages, smoking status) hold different opinions in terms of harm, health benefits, and support for stricter e-cigarette regulations. Methods: Self-administered online surveys created on Survey Monkey were distributed to Canadians via online platforms Reddit and Facebook. The survey assessed opinions and perceptions of Canadians through multiple choice questions and were collected over a three week period. Results: This study received 157 respondents the majority of which were under 35 (73.08%) and from British Columbia (65.38%). Thirteen chi-square tests were performed comparing group variables (age, smoking status, and awareness of vaping related news) to perception variables (perceived harm, health benefits, safety). There was no association found between age and the tested perception variables. Several associations were found where e-cigarette users viewed e-cigarettes more favourably relative to tobacco users and non-users based on chi-square results. Chi-square associations between media awareness and harm perceptions could not be established due to a small sample size (n< 30). Conclusion: The results indicated that there are associations with e-cigarette perceptions and a person’s smoking status. This may be an indication that there is possible misinformation between groups when it comes to evaluating objective health effects of e-cigarettes. Non-users and a percentage of tobacco users seem to overstate
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".