Evidence map›Paper›PMID 28117729›Full record

ArticleInternational journal of environmental research and public health2017

The Association between Warning Label Requirements and Cigarette Smoking Prevalence by Education-Findings from the Global Adult Tobacco Survey (GATS).

Ce Shang, Jidong Huang, Kai-Wen Cheng, Yanyun He, Frank J Chaloupka

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Are the Same Health Warnings Effective Across Different Countries? An Experimental Study in Seven Countries.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  8. Article
  9. 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

5 authors.

Ce ShangInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL 60608, USA. cshang@uic.edu.
Jidong HuangSchool of Public Health, Georgia State University, Atlanta, GA 30303, USA. jhuang17@gsu.edu.
Kai-Wen ChengInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL 60608, USA. kaiwenc19@gmail.com.
Yanyun HeDepartment of Economics, University of Illinois at Chicago, Chicago, IL 60607, USA. heyanyun1972@hotmail.com.
Frank J ChaloupkaInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL 60608, USA. fjc@uic.edu.

Funding

The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
NIDA NIH HHS P50 DA036128
6 · The paper itself

Abstract

introductionThe Guidelines for the implementation of Article 11 of the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) require that cigarette health warning labels should include pictures and take up 50% or more of the principal display area. This study examined how the association between large pictorial warnings, those covering ≥50% of the front and back of the package, and the prevalence of cigarette smoking varies by educational attainment.

methodsWe pooled individual-level tobacco use data from the Global Adult Tobacco Survey (GATS) in 18 countries between 2008 and 2013 and linked them with warning label requirements during the same period from the MPOWER database and reports regarding warnings. The respondents' self-reported exposure to warnings was examined according to education. Logistic regressions were further employed to analyze education-specific associations between large pictorial warnings and smoking prevalence, and whether such association differed by education was examined using an interaction test.

resultsAt the time of the survey, eight out of 18 countries had imposed graphic warning labels that covered ≥50% of the package. These warnings were associated with a 10.0% (OR = 0.89; 95% CI: 0.81, 0.97;

conclusionsProminent pictorial warning labels can potentially reduce health disparities resulting from smoking across different education levels.

Indexed as

Tobacco ProductsAdolescentAdultAge FactorsFemaleGlobal HealthHumansLogistic ModelsMaleMiddle AgedPrevalenceProduct LabelingSex FactorsSmokingSocioeconomic FactorsWorld Health Organizationcigarette warning labelsdisparityeducationGATSsmoking prevalence

Identifiers

PMID28117729
PMCPMC5295348

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.