Evidence map›Paper›PMID 31831539›Full record

ArticleBMJ open2019

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).

Genevieve Sansone, Geoffrey T Fong, Mi Yan, Gang Meng, Lorraine Craig, Steve S Xu, Anne C K Quah, Changbao Wu, Guoze Feng, Yuan Jiang

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Genevieve SansoneDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada gsansone@uwaterloo.ca.ORCID 0000-0002-5764-2624
Geoffrey T FongDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Mi YanDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Gang MengDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Lorraine CraigDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Steve S XuDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Anne C K QuahDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Changbao WuDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
Guoze FengTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuan JiangTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

Tobacco Control Policy Evaluation in China and South Korea: The ITC Asia ProjectR01CA125116 · NCI · UNIVERSITY OF WATERLOO · PI FONG, GEOFFREY T · 2007 to 2011
$2.8M
CIHR FDN-148477CIHR MOP 115016CIHR MOP 79551NCI NIH HHS R01 CA125116
6 · The paper itself

Abstract

objectivesTo 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.

designData 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.

settingFace-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).

participantsIn 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 measuresPrevalence 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.

resultsAlthough 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.

conclusionsPartial 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.

Indexed as

SmokingSmoking PreventionAdultChinaFemaleHumansMaleMiddle AgedPrevalenceRestaurantsRural HealthSmoke-Free PolicySocial PerceptionSocial SupportSurveys and QuestionnairesTobacco Smoke PollutionTobacco Smoke Pollutionpolicy evaluationpublic healthsecondhand smokesmokingtobacco control

Identifiers

PMID31831539
PMCPMC6924814

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.