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Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey)
OBJECTIVES: To examine trends in smoking prevalence in key venues (workplaces, restaurants, bars) and in public support for comprehensive smoke-free laws, with comparisons between cities and rural areas in China. DESIGN: Data are from Waves 3–5 (2009–2015) of the International Tobacco Control (ITC)...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924814/ https://www.ncbi.nlm.nih.gov/pubmed/31831539 http://dx.doi.org/10.1136/bmjopen-2019-031891 |
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author | Sansone, Genevieve Fong, Geoffrey T Yan, Mi Meng, Gang Craig, Lorraine Xu, Steve S Quah, Anne C K Wu, Changbao Feng, Guoze Jiang, Yuan |
author_facet | Sansone, Genevieve Fong, Geoffrey T Yan, Mi Meng, Gang Craig, Lorraine Xu, Steve S Quah, Anne C K Wu, Changbao Feng, Guoze Jiang, Yuan |
author_sort | Sansone, Genevieve |
collection | PubMed |
description | OBJECTIVES: To examine trends in smoking prevalence in key venues (workplaces, restaurants, bars) and in public support for comprehensive smoke-free laws, with comparisons between cities and rural areas in China. DESIGN: Data are from Waves 3–5 (2009–2015) of the International Tobacco Control (ITC) China Survey, a cohort survey of smokers and non-smokers. Logistic regression analyses employing generalised estimating equations assessed changes in smoking prevalence and support for smoke-free laws over time; specific tests assessed whether partial smoking bans implemented in three cities between Waves 3 and 4 had greater impact. SETTING: Face-to-face surveys were conducted in seven cities (Beijing, Changsha, Guangzhou, Kunming, Shanghai, Shenyang and Yinchuan) and five rural areas (Changzhi, Huzhou, Tongren, Yichun and Xining). PARTICIPANTS: In each survey location at each wave, a representative sample of approximately 800 smokers and 200 non-smokers (aged 18+) were selected using a multistage cluster sampling design. MAIN OUTCOME MEASURES: Prevalence of smoking (whether respondents noticed smoking inside restaurants, bars and workplaces); smoking rules inside these venues; and support for complete smoking bans in these venues. RESULTS: Although smoking prevalence decreased and support increased over time, neither trend was greater in cities that implemented partial smoke-free laws. Smoking was higher in rural than urban workplaces (62% vs 44%, p<0.01), but was equally high in all restaurants and bars. There were generally no differences in secondhand smoke (SHS) exposure between smokers and non-smokers except in rural workplaces (74% vs 58%, p<0.05). Support for comprehensive bans was equally high across locations. CONCLUSIONS: Partial laws have had no effect on reducing SHS in China. There is an urgent need for comprehensive smoke-free laws to protect the public from exposure to deadly tobacco smoke in both urban and rural areas. The high support among Chinese smokers for such a law demonstrates that public support is not a barrier for action. |
format | Online Article Text |
id | pubmed-6924814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69248142020-01-02 Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) Sansone, Genevieve Fong, Geoffrey T Yan, Mi Meng, Gang Craig, Lorraine Xu, Steve S Quah, Anne C K Wu, Changbao Feng, Guoze Jiang, Yuan BMJ Open Smoking and Tobacco OBJECTIVES: To examine trends in smoking prevalence in key venues (workplaces, restaurants, bars) and in public support for comprehensive smoke-free laws, with comparisons between cities and rural areas in China. DESIGN: Data are from Waves 3–5 (2009–2015) of the International Tobacco Control (ITC) China Survey, a cohort survey of smokers and non-smokers. Logistic regression analyses employing generalised estimating equations assessed changes in smoking prevalence and support for smoke-free laws over time; specific tests assessed whether partial smoking bans implemented in three cities between Waves 3 and 4 had greater impact. SETTING: Face-to-face surveys were conducted in seven cities (Beijing, Changsha, Guangzhou, Kunming, Shanghai, Shenyang and Yinchuan) and five rural areas (Changzhi, Huzhou, Tongren, Yichun and Xining). PARTICIPANTS: In each survey location at each wave, a representative sample of approximately 800 smokers and 200 non-smokers (aged 18+) were selected using a multistage cluster sampling design. MAIN OUTCOME MEASURES: Prevalence of smoking (whether respondents noticed smoking inside restaurants, bars and workplaces); smoking rules inside these venues; and support for complete smoking bans in these venues. RESULTS: Although smoking prevalence decreased and support increased over time, neither trend was greater in cities that implemented partial smoke-free laws. Smoking was higher in rural than urban workplaces (62% vs 44%, p<0.01), but was equally high in all restaurants and bars. There were generally no differences in secondhand smoke (SHS) exposure between smokers and non-smokers except in rural workplaces (74% vs 58%, p<0.05). Support for comprehensive bans was equally high across locations. CONCLUSIONS: Partial laws have had no effect on reducing SHS in China. There is an urgent need for comprehensive smoke-free laws to protect the public from exposure to deadly tobacco smoke in both urban and rural areas. The high support among Chinese smokers for such a law demonstrates that public support is not a barrier for action. BMJ Publishing Group 2019-12-11 /pmc/articles/PMC6924814/ /pubmed/31831539 http://dx.doi.org/10.1136/bmjopen-2019-031891 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Smoking and Tobacco Sansone, Genevieve Fong, Geoffrey T Yan, Mi Meng, Gang Craig, Lorraine Xu, Steve S Quah, Anne C K Wu, Changbao Feng, Guoze Jiang, Yuan Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title | Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title_full | Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title_fullStr | Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title_full_unstemmed | Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title_short | Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey) |
title_sort | secondhand smoke exposure and support for smoke-free policies in cities and rural areas of china from 2009 to 2015: a population-based cohort study (the itc china survey) |
topic | Smoking and Tobacco |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924814/ https://www.ncbi.nlm.nih.gov/pubmed/31831539 http://dx.doi.org/10.1136/bmjopen-2019-031891 |
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