Increasing availability and consumption of single cigarettes: trends and implications for smoking cessation from the ITC Mexico Survey
Bibliographic record
Abstract
OBJECTIVE: Determine (1) trends in single cigarette availability and purchasing in Mexico and (2) the association between neighbourhood access to singles and cessation behaviour among adult Mexican smokers. METHODS: We analysed data from Wave 4 (2010), Wave 5 (2011) and Wave 6 (2012) of the Mexican International Tobacco Control Policy Evaluation Survey. We used data from all three waves to examine time trends in singles availability and purchasing. To explore the association between neighbourhood access to singles and cessation behaviour, we used data from participants who were smokers at Wave 5 and followed up at Wave 6 (n=1272). FINDINGS: The percentage of participants who saw singles sold daily (45.2% in 2010; 51.4% in 2011; 64.9% in 2012), who bought singles at least once a week (22.3% in 2010; 29.1% in 2011; 29.1% in 2012) and whose last cigarette purchase was a single (16.6% in 2010; 20.7% in 2011; 25.8% in 2012) increased significantly from 2010 to 2012 (all p<0.001). The average percentage of residents who reported seeing singles sold daily in their neighbourhood in 2012 was 60% (SD=25%). In adjusted analyses, smokers living in neighbourhoods with higher access to singles were less likely to make a quit attempt (risk ratio (RR)=0.72; 95% CI 0.46 to 1.12), and more likely to relapse (RR=1.30; CI 0.94 to 1.82), but these results were not statistically significant. CONCLUSIONS: Single cigarettes appear widely accessible in Mexico and growing in availability. Future research should explore potential explanations, consequences and effective methods for reducing the availability of single cigarettes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".