Evidence map›Paper›PMID 26064959›Full record

ArticleBioMed research international2015

The Effects of Educational Campaigns and Smoking Bans in Public Places on Smokers' Intention to Quit Smoking: Findings from 17 Cities in China.

Biao Luo, Liang Wan, Liang Liang, Tieshan Li

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Tobacco Use and Exposure to Second-Hand Smoke among Urban Residents: A Community-Based Investigation.International journal of environmental research and public health · 2015
    Article
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

4 authors.

Biao LuoCentre for Behavioural and Cognition Research, University of Science and Technology of China, Hefei, Anhui 230026, China.
Liang WanCentre for Behavioural and Cognition Research, University of Science and Technology of China, Hefei, Anhui 230026, China.ORCID 0000-0003-3167-6591
Liang LiangCentre for Behavioural and Cognition Research, University of Science and Technology of China, Hefei, Anhui 230026, China.
Tieshan LiJohn Molson School of Business, Concordia University, Montreal QC, Canada H3G 1M8.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the perceived success of educational campaigns and smoking bans in public places in China, the actual effects have not been investigated. This study examines the effects of the two policies by major characteristics of smokers and whether the affected smokers have intention to quit smoking. A cross-sectional survey was conducted in 17 cities in China and 16,616 participants were selected using multistage stratified sampling. Logistic regression models were used to examine the effects of educational campaigns and smoking bans in public places on their intention to quit smoking. Results show that the Chinese government should try every means to build its tobacco control publicity and implement various forms of public educational campaigns to enhance smokers' knowledge of the health consequences of smoking. In addition, China should emphasize the enforcement of the existing smoking prohibitions and regulations by implementing local tobacco control legislation and total prohibitions in all public places and workplaces.

Indexed as

Health Knowledge, Attitudes, PracticeSmoking CessationAdolescentAdultChinaFemaleHumansMaleMiddle AgedSmokingTobacco Smoke PollutionTobacco Smoke Pollution

Identifiers

PMID26064959
PMCPMC4434188

What OpenQuestion holds

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Registered trials

None linked

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.