Tobacco use among transgender and gender non-binary youth in Brazil
Bibliographic record
Abstract
Transgender and gender non-binary youth are particularly vulnerable to tobacco smoking and susceptible to smoking adverse health outcomes. That is, they are in special risk to start smoking and, after starting, they may face worse outcomes when comparing to their cisgender peers. Therefore, the present study aims to evaluate factors associated with tobacco use among transgender and gender non-binary youth. Brazilian youth aged 16 to 25 who identify as transgender or gender non-binary answered an online questionnaire. Poisson regression with robust variance was run to predict smoking cigarettes based on individual and environmental factors. 14.1% of 206 youth reported smoking cigarettes daily, whereas 9.3% of participants reported smoking e-cigarettes occasionally. Drug use, lack of social support, deprivation, discrimination, the wait for medical gender-affirming procedures and being outside school were associated with smoking cigarettes. Contextual and individual factors should be further explored in causal analysis and taken into consideration when planning smoking prevention and cessation interventions for transgender and gender non-binary youth.
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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 | 0.000 | 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) | 0.001 | 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".