Evidence map›Paper›PMID 41668969›Full record

ArticleInternational journal of communication2021

News Media Coverage of E-Cigarettes: An Analysis of Themes in Chinese Newspapers.

Joanne Chen Lyu, D I Wang, Peiyi Huang, Pamela Ling

Abstract readNews
In one paragraph

Article in International journal of communication, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. A Systematic Review of E-Cigarette Marketing Communication: Messages, Communication Channels, and Strategies.International journal of environmental research and public health · 2022
    Pooled it
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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

4 authors.

Joanne Chen LyuUniversity of California, San Francisco, USA.
D I WangMacau University of Science and Technology, Macau.
Peiyi HuangUniversity of Mannheim, Germany.
Pamela LingUniversity of California, San Francisco, USA.

Funding

Understanding Smokeless Tobacco MarketingR01CA141661 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2009 to 2019
$5.4M
Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
NCI NIH HHS R01 CA141661NCI NIH HHS T32 CA113710
6 · The paper itself

Abstract

News media play an important role in shaping public perceptions of e-cigarettes and influencing relevant policies. This study aims to describe the prominent themes in the Chinese newspaper reporting of e-cigarettes and examine how the salience of themes changed over time. Quantitative content analysis and qualitative thematic analysis of 639 e-cigarette-related news stories from 2014 to 2019 were conducted. Seven themes were found: health impact, usage, smoking cessation, youth, regulation, industry development, and description of e-cigarettes, with industry development being a unique theme in Chinese newspapers compared with newspapers in other countries. Although the health impact theme remained dominant throughout all time periods, the other themes showed different salience at different time periods, and e-cigarette reports increasingly focused on regulation in recent years. Frequent reporting by Chinese newspapers on e-cigarette-related research, legislation, and social problems in other countries, based on foreign media coverage, might point at an international media agenda setting effect.

Indexed as

ChinaE-cigarettemedia coveragenewspapertheme

Identifiers

PMID41668969
PMCPMC12885366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.