Impacts of revised smoke-free regulations under the 2020 Japan Health Promotion Act on cigarette smoking and heated tobacco product use in indoor public places and homes: findings from 2018 to 2021 International Tobacco Control (ITC) Japan Surveys
Bibliographic record
Abstract
BACKGROUND: In April 2020, Japan's revised Health Promotion Act (HPA) banned cigarette smoking and heated tobacco products (HTP) use in indoor public places but exempted small establishments and permitted smoking-designated/HTP-designated rooms. This pre-post study evaluated the effectiveness of the HPA. METHODS: Data were from waves 1 to 4 (2018-2021) of the International Tobacco Control Japan Surveys among a national cohort of adults who smoke cigarettes, use HTPs and do not use any tobacco products. The sample sizes in the respective surveys were 4615, 4222, 4387 and 4254. Multivariable logistic regression models employing generalised estimating equations estimated the prevalence of observed and self-reported indoor smoking/HTP use in key public venues (restaurants/cafés, bars/pubs and workplaces), smoke-free places, and homes, and smoke-free/HTP aerosol-free home policies (model 1). The models were additionally adjusted for waves 1-4 to estimate the impacts of the HPA (model 2). RESULTS: The implementation of the HPA significantly reduced observed indoor smoking in bars/pubs (model 1: 82.2% (pre) to 55.5% (post), model 2: p=0.04) but not in restaurants/cafés (model 1: 53.0%-24.9%, model 2: p=0.15) or workplaces (model 1: 35.3%-30.1%, model 2: p=0.62). Observed indoor HTP use was also common postimplementation (restaurants/cafés: 19.6%, bars/pubs: 53.9%, workplaces: 36.4%). The implementation of the HPA was associated with a significant increase in observed HTP use in smoke-free places (model 1: 26.3%-33.3%, model 2: p=0.001) and a suggestive increase in homes without HTP aerosol-free policies among adults who smoke (model 1: 64.0%-77.0%, model 2: p=0.09). CONCLUSIONS: The implementation of the HPA was limited in its effectiveness. Comprehensive regulations with no exemptions are needed in Japan.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".