Evidence map›Paper›PMID 35568497›Full record

ArticleBMJ open2022

Identifying credible attribution sources for cigarette health warning labels in China: results from a cross-sectional survey of Chinese adults.

Lauren Czaplicki, Jeffrey Hardesty, Elizabeth Crespi, Tingzhong Yang, Ryan David Kennedy

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Tailoring e-Cigarette Health Messages by Vaping Status: How Source and Message Presentation Type Shape Young Adults' Perceptions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Trial
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.

Lauren CzaplickiInstitute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA lczapli1@jhu.edu.ORCID 0000-0002-7496-0990
Jeffrey HardestyInstitute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-4705-4976
Elizabeth CrespiInstitute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-5462-5976
Tingzhong YangCenter for Tobacco Control Research, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0001-9182-1055
Ryan David KennedyInstitute for Global Tobacco Control, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Framework Convention on Tobacco Control recommends health warning labels (HWLs) include an attribution source. Little is known regarding the perceived credibility and effectiveness of different message sources. This study examined perceptions of four HWL attribution sources among adults in China - the world's largest consumer of cigarettes.

designCross-sectional experimental survey design.

participantsData were collected in 2017 from a convenience sample of 1999 adults across four cities in China; 80% of the sample were current smokers.

main outcome measuresParticipants viewed four versions of the same HWL, each with a different attribution source: the China Center for Disease Control (ref. group); the regulatory arm of China's domestic tobacco company (STMA); Liyuan Peng, China's first lady; and the WHO. Respondents indicated which HWL was the most: (1) credible, (2) effective at making people quit and (3) effective at preventing youth initiation.

resultsMultinomial logistic regression models estimated adjusted relative risk ratios (aRRRs) of the three outcomes. Controlling for demographics and smoking status, HWLs attributed to STMA and Liyuan Peng, respectively, were perceived as significantly less credible (aRRR=0.81, p<0.001; aRRR=0.31, p<0.001), less effective at making people quit (aRRR=0.46, p<0.001; aRRR=0.24, p<0.001) and less effective at preventing young smoking (aRRR=0.52, p<0.001; aRRR=0.39, p<0.001) than the China CDC HWL. There were no significant differences in perceived effectiveness of between the WHO and China CDC HWLs. Participants viewed the WHO HWL as significantly more credible (aRRR=1.21, p<0.001) than the China CDC HWL.

conclusionResults suggest the unique role of health organisations in conveying smoking-related messages that appear credible and effective at motivating others to quit smoking or never start smoking in China. Findings can inform global recommendations regarding HWL attribution sources.

Indexed as

Smoking CessationTobacco ProductsAdolescentAdultChinaCross-Sectional StudiesHumansProduct LabelingChinacigaretteshealth communicationHealth warning labelstobacco

Identifiers

PMID35568497
PMCPMC9109087

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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.