Impact of flavoured tobacco restriction policies on flavoured product availability in Massachusetts
Bibliographic record
Abstract
OBJECTIVE: This study aimed to evaluate the effectiveness of flavoured tobacco product restriction policies in reducing availability of flavoured products in Massachusetts communities. METHODS: Data were obtained from surveys of tobacco retailers conducted from July 2015 to March 2017. On a community level, flavoured product availability was defined as the per cent of retailers during a given 3-month quarter that sold flavoured cigars/cigarillos, electronic cigarettes and/or e-liquids. Communities that implemented the policy during the study period were grouped into wave 1 (n=18; 1481 retail surveys) and wave 2 (n=20; 483 retail surveys) by date of policy implementation; communities without a flavoured product restriction served as the control group (n=234; 4932 retail surveys). A difference-in-difference analysis was used to compare the change in flavoured product availability in wave 1 and wave 2 communities 3 months pre-policy and post-policy implementation to the change over the same time periods in the control group. RESULTS: From pre-policy to post-policy implementation period, communities in both waves experienced significant reductions in flavoured product availability (ranging from 27.2% to 50.9%), even after adjusting for community-level characteristics. In both waves 1 and 2, reductions in flavoured product availability were significantly greater compared with comparison communities during the same time frame, adjusting for community-level characteristics. CONCLUSIONS: Compliance with flavoured product restriction policies is high among tobacco retailers throughout Massachusetts, regardless of community demographic and retail characteristics. Reduced availability of flavoured tobacco in the retail environment has the potential to reduce youth exposure, access and use of these products.
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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) | 0.001 | 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".