Evidence map›Paper›PMID 42375745›Full record

ArticleTobacco induced diseases2026

Behavioral responses to smoking bans in local public places in China: A secondary dataset analysis of China Family Panel Studies, 2010-2020.

Wenjie Meng, Ying'er Ma, Yunqiang Fu, Ting Chen

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Article in Tobacco induced diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wenjie Meng *School of Public Health, Wuhan University of Science and Technology, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences, Wuhan, China.
Ying'er Ma *School of Public Health, Wuhan University of Science and Technology, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences, Wuhan, China.
Yunqiang FuSchool of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, China.
Ting ChenSchool of Public Health, Wuhan University of Science and Technology, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhile 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.

methodsThis 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.

resultsLocal 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.

conclusionsThis 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.

Indexed as

difference-in-differencessmoking banssmoking behavior

Identifiers

PMID42375745
PMCPMC13312264

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