{"title":"Behavioral responses to smoking bans in local public places in China: A secondary dataset analysis of China Family Panel Studies, 2010-2020.","authors":"Wenjie Meng, Ying'er Ma, Yunqiang Fu, Ting Chen","doi":"10.18332/tid/220283","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>While public smoking bans help reduce smoking behavior, tobacco control in China is mainly managed locally. The effects of regional regulations on individual smoking are unclear. This study analyses public smoking bans across several cities to inform local and national tobacco control efforts.</p><p><strong>Methods: </strong>This study is a secondary data analysis using the 2010-2020 China Family Panel Studies (CFPS) nationwide dataset. The study adopts an observational design covering a 10-year period from 2010 to 2020, with data collected biennially across waves. The study population comprised respondents, aged ≥16 years from the CFPS 2010-2020 waves, who resided in the 37 cities selected for this quasi-experimental design. Individuals were included if they had complete data on smoking behavior, demographic characteristics, and key socioeconomic variables.</p><p><strong>Results: </strong>Local tobacco control regulations did not significantly affect smoking status. They were related to the amount smoked (β=0.374; 95% CI: 0.115-0.633; p=0.005), with a significant positive correlation and heterogeneity observed in the subgroup analysis. In Hangzhou, the smoking probability increased by 0.021 (95% CI: 0.013-0.030, p<0.001) after policy enactment, and daily cigarette consumption among smokers increased by 0.696 (95% CI: 0.507-0.886, p<0.001). In Tianjin, the smoking probability decreased by 0.040 (95% CI: -0.048 - -0.032, p<0.001), and daily cigarette consumption dropped by 1.532 (95% CI: -1.684 - -1.379, p<0.001). In Guangzhou, the policy had no effect on smoking probability but reduced daily cigarette consumption by 0.316 (95% CI: -0.507 - -0.124, p=0.002). The effects of tobacco control policies vary significantly across different cities.</p><p><strong>Conclusions: </strong>This study identifies substantial regional heterogeneity in the effects of local public-place smoking bans, supporting the need for national standardization and context-specific regulatory strategies.</p>","PeriodicalId":23202,"journal":{"name":"Tobacco Induced Diseases","volume":"24 ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13312264/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tobacco Induced Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.18332/tid/220283","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: While public smoking bans help reduce smoking behavior, tobacco control in China is mainly managed locally. The effects of regional regulations on individual smoking are unclear. This study analyses public smoking bans across several cities to inform local and national tobacco control efforts.
Methods: This study is a secondary data analysis using the 2010-2020 China Family Panel Studies (CFPS) nationwide dataset. The study adopts an observational design covering a 10-year period from 2010 to 2020, with data collected biennially across waves. The study population comprised respondents, aged ≥16 years from the CFPS 2010-2020 waves, who resided in the 37 cities selected for this quasi-experimental design. Individuals were included if they had complete data on smoking behavior, demographic characteristics, and key socioeconomic variables.
Results: Local tobacco control regulations did not significantly affect smoking status. They were related to the amount smoked (β=0.374; 95% CI: 0.115-0.633; p=0.005), with a significant positive correlation and heterogeneity observed in the subgroup analysis. In Hangzhou, the smoking probability increased by 0.021 (95% CI: 0.013-0.030, p<0.001) after policy enactment, and daily cigarette consumption among smokers increased by 0.696 (95% CI: 0.507-0.886, p<0.001). In Tianjin, the smoking probability decreased by 0.040 (95% CI: -0.048 - -0.032, p<0.001), and daily cigarette consumption dropped by 1.532 (95% CI: -1.684 - -1.379, p<0.001). In Guangzhou, the policy had no effect on smoking probability but reduced daily cigarette consumption by 0.316 (95% CI: -0.507 - -0.124, p=0.002). The effects of tobacco control policies vary significantly across different cities.
Conclusions: This study identifies substantial regional heterogeneity in the effects of local public-place smoking bans, supporting the need for national standardization and context-specific regulatory strategies.
期刊介绍:
Tobacco Induced Diseases encompasses all aspects of research related to the prevention and control of tobacco use at a global level. Preventing diseases attributable to tobacco is only one aspect of the journal, whose overall scope is to provide a forum for the publication of research articles that can contribute to reducing the burden of tobacco induced diseases globally. To address this epidemic we believe that there must be an avenue for the publication of research/policy activities on tobacco control initiatives that may be very important at a regional and national level. This approach provides a very important "hands on" service to the tobacco control community at a global scale - as common problems have common solutions. Hence, we see ourselves as "connectors" within this global community.
The journal hence encourages the submission of articles from all medical, biological and psychosocial disciplines, ranging from medical and dental clinicians, through health professionals to basic biomedical and clinical scientists.