The 2005 British Columbia Smoking Cessation Mass Media Campaign and Short-term Changes in Smoking
Bibliographic record
Abstract
In Brief Objective The objective of this study was to evaluate the impact of the 2005 British Columbia Ministry of Health Smoking Cessation Mass Media Campaign on short-term smoking behavior. Method National cross-sectional data are used with a quasi-experimental approach to test the impact of the campaign. Results and Discussion Findings indicate that prevalence and average number of cigarettes smoked per day deviated upward from trend for the rest of Canada (P = .08; P = .01) but not for British Columbia. They also indicate that British Columbia smokers in lower risk groups reduced their average daily consumption of cigarettes over and above the 1999–2004 trend (−2.23; P = .10), whereas smokers in the rest of Canada did not, and that British Columbia smokers in high-risk groups did not increase their average daily consumption of cigarettes over and above the 1999–2004 trend, whereas smokers in the rest of Canada did (2.97; P = .01). Conclusion The overall poorer performance of high-risk groups is attributed to high exposure to cigarette smoking, which reduces a smoker's chances of successful cessation. In particular, high-risk groups are by definition more likely to be exposed to smoking by peers, but are also less likely to work in workplaces with smoking bans, which are shown to have a substantial impact on prevalence. Results suggest that for mass media campaigns to be more effective with high-risk groups, they need to be combined with other incentives, and that more prolonged interventions should be considered. The article evaluates the impact of the 2005 British Columbia campaign on short-term smoking prevalence and quantity smoked for the overall population and for the target demographic. The results explain that increased exposure to smoking leads to poor showings for the target population. Initiatives such as full workplace smoking bans and the provision of free cessations aids may improve the effectiveness of smoking cessation programs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".