Youth perceptions of e-cigarette-related risk of lung issues and association with e-cigarette use.
Bibliographic record
Abstract
OBJECTIVE: E-cigarette use is associated with increased risk of negative health outcomes, including respiratory problems such as Coronavirus Disease 2019 (COVID-19). Nevertheless, adolescents and young adults (AYAs) continue to use e-cigarettes at alarming rates. We examined AYA's perceptions of the health harms of e-cigarettes in relation to respiratory problems and the associations between these perceptions and e-cigarette use. METHOD: = 4,315; 65% female; 50% ever-users, 50% never-users) to assess e-cigarette use and perceptions of the risk of respiratory problems, COVID-19, and severe lung disease for AYAs with different levels of e-cigarette use. RESULTS: = 1.26, 95% CI [1.11, 1.42]). CONCLUSIONS: Among AYAs who had ever used e-cigarettes, those who did not believe that e-cigarette use increases the risks of respiratory problems were more likely to have used e-cigarettes in the past month. To bridge the gap between youth perceptions and emerging scientific evidence on e-cigarette-related health risks, prevention messaging should seek to explain how e-cigarette use is linked to respiratory problems and could affect COVID-19 outcomes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".