Does menthol cigarette use moderate the effect of nicotine metabolism on short-term smoking cessation?
Bibliographic record
Abstract
The nicotine metabolite ratio (NMR) has been shown to predict response to the transdermal nicotine patch, such that faster nicotine metabolism is associated with a lower abstinence rate. Menthol cigarette use, versus nonmenthol cigarette use, slows nicotine metabolism and therefore may attenuate the effect of NMR on smoking abstinence. In this study, we evaluated whether cigarette type (menthol vs. nonmenthol) modified the association between NMR and short-term abstinence. This was a secondary analysis examining treatment in the first 8 weeks of 21 mg/day nicotine patch therapy in a completed clinical trial (n = 474). Menthol cigarette use was based on self-report. NMR was defined dichotomously (0 = fast, 1 = slow) to distinguish between fast (≥0.47) versus slow NMR. Using logistic regression analysis, we tested whether cigarette type moderated the association between NMR and bioverified 7-day point prevalence abstinence at Week 8. Covariates include nicotine dependence, age, race, and gender. Three hundred two participants reported smoking menthol cigarettes, of which 234 (77%) were classified as slow NMR. Among the 172 nonmenthol smokers, 136 were classified as slow NMR (79%). Contrary to our expectations, the NMR ×Cigarette Type interaction effect on abstinence was not significant (odds ratio [OR] = 0.91, p = .86). Excluding the interaction variable, fast NMR was associated with decreased likelihood of abstinence (OR = 0.55, p = .03), but menthol cigarette use was not (OR = 1.15, p = .56). Further exploration of risk factors among menthol cigarette smokers, especially among racially diverse and light smokers, could clarify the association between menthol cigarette use and poorer smoking outcomes. (PsycINFO Database Record
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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".