Attitudes of Korean smokers towards smoke-free public places: findings from the longitudinal ITC Korea Survey, 2005–2010
Bibliographic record
Abstract
OBJECTIVE: Prior to December 2012, restaurants in South Korea were required to implement only partial smoking bans. This study documents the changes in Korean smokers' attitudes towards smoking bans between 2005 and 2010 and explores the effects of anti-smoking advertising as a correlate of support for total smoking bans in public places. DESIGN: Longitudinal cohort study of Korean adult smokers. SETTING: The data were derived from three waves (2005, 2008 and 2010) of the International Tobacco Control (ITC) Korea Survey. PARTICIPANTS: The ITC Korea Survey respondents were a probability-based, nationally representative sample of Korean smokers aged 19 and older. The current analysis includes 995 smokers who participated in Wave 1 (2005), 1737 smokers who participated in Wave 2 (2008) and 1560 smokers who participated in Wave 3 (2010). PRIMARY AND SECONDARY OUTCOME MEASURES: Changes in respondents' awareness of secondhand smoke (SHS) harm, attitudes towards smoking bans and personal rules for smoking in private homes and/or vehicles were analysed. Correlates of support for smoking bans in public places were examined using generalised estimating equation regression models. RESULTS: More than 80% of Korean smokers are aware of the harms of SHS. The proportion of smokers who support smoke-free restaurants or smoke-free bars increased twofold between 2005 and 2010. Smokers who were aware of the dangers of SHS were more likely to support a total smoking ban in workplaces. Noticing anti-smoking advertising or information was not significantly associated with support for a total smoking ban in public places. CONCLUSIONS: Korean smokers became more supportive of smoking bans in public places between 2005 and 2008. These results show that smokers' attitudes towards smoking bans can change with the implementation of smoke-free policies, even in a country that has a high prevalence of smokers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".