The Relationship Between Tobacco Use and Legal Document Gender-Marker Change, Hormone Use, and Gender-Affirming Surgery in a United States Sample of Trans-Feminine and Trans-Masculine Individuals: Implications for Cardiovascular Health
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Bibliographic record
Abstract
PURPOSE: Transgender individuals smoke tobacco at disproportionately higher rates than the general U.S. population, and concurrent use of gender-affirming hormones (estrogen or testosterone) and tobacco confers greater cardiovascular (CV) risk. This study examines the relationship between tobacco use and legal document gender-marker change, and medical/surgical interventions for gender transition. METHODS: Data came from an Internet-based survey of U.S. trans-feminine (n = 631) and trans-masculine (n = 473) individuals. We used multivariable logistic regression to investigate the relationship between past 3-month tobacco use and legal document gender-marker change, hormone use, and gender-affirming surgery controlling for demographic covariates and enacted and felt stigma. RESULTS: Compared to trans-feminine participants, trans-masculine individuals reported significantly higher rates of lifetime (74.4% vs. 63.5%) and past 3-month tobacco use (47.8% vs. 36.1%), and began smoking at an earlier age (14.5 vs. 15.5 years). Trans-feminine smokers reported significantly more frequent and heavier use. Adjusting for demographic covariates and enacted and felt stigma, legal document gender-marker change was associated with lower tobacco-use odds among trans-feminine individuals, whereas gender-affirming surgery predicted lower smoking odds among trans-masculine individuals. There were no significant differences in tobacco use by hormone use status. CONCLUSION: In this study, trans-masculine individuals were more likely to smoke and trans-feminine individuals reported heavier use. It is concerning that individuals receiving hormones did not report lower smoking rates, given the elevated CV risk of this combination. This is a missed opportunity to intervene on a major public health issue and highlights the need for smoking cessation interventions in this population.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it