ArticleChina CDC weekly2025
Changing Patterns of Willingness and Cessation Behavior Among Chinese Smokers Aged 15 and Above - China, 2010-2024.
Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Outpatients' cardiac rehabilitation: the long-term experience of the Niguarda Hospital.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Prevalence of smoking and factors associated with smoking cessation among diabetic patients in Chongqing, China: A cross-sectional study.Tobacco induced diseases · 2026Article
- Effectiveness of online tobacco control education: A cross-sectional study among healthcare professionals.Tobacco induced diseases · 2025Article
- What types of tobacco control public service advertisements work for Chinese adolescents? A mixed-methods study.Tobacco induced diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: To evaluate the effectiveness of tobacco control efforts, we conducted a comprehensive analysis of trends in smoking cessation willingness and behavior among Chinese smokers from 2010 to 2024. Methods: Data were obtained from the 2010 Global Adult Tobacco Survey (GATS)-China Project and the National Adult Tobacco Survey (NATS) conducted in 2018, 2022, and 2024. All surveys employed multistage stratified cluster random sampling of the Chinese population aged 15 years and above. Complex sampling analysis was performed for calculations, and trend analysis was conducted using the Cochran-Armitage trend test. Results: From 2010 to 2024, cessation behavior among Chinese smokers increased significantly. Cessation rates rose from 16.88% to 22.65%, and the proportion of smokers who attempted to quit in the past 12 months increased from 14.37% to 24.75%. The proportion of smokers planning to quit within 12 months increased from 16.10% to 21.61% from 2010 to 2022, but dropped to 16.07% in 2024. Over the 14-year period, cessation rates and quit attempts increased significantly across almost all demographic groups. However, from 2022 to 2024, cessation rates among daily smokers declined while the proportion of those willing to quit decreased. Occasional smokers consistently demonstrated higher cessation rates, quit attempts, and willingness to quit compared to daily smokers. Conclusions: The observed increases in cessation behavior may be attributed to expanded smoking cessation services and extensive cessation campaigns implemented over the years. Enhanced cessation interventions should be targeted toward daily smokers. Pricing policies, graphic health warnings on packaging, and community-based comprehensive smoking cessation interventions can further enhance smokers' willingness to quit and encourage more cessation attempts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.