Evidence map›Paper›PMID 35686048›Full record

ArticleChina CDC weekly2022

Local Brand Smoking Among Adult Smokers: Findings from the Wave 5 International Tobacco Control China Survey - China, 2015.

Peter Hao, Steve Shaowei Xu, Haiyen Sung, Tingting Yao, Yuan Jiang, Anne C K Quah, Geoffrey T Fong

Abstract read
In one paragraph

Article in China CDC weekly, 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. 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

7 authors.

Peter HaoChinese Center for Disease Control and Prevention, Beijing, China.
Steve Shaowei XuUniversity of Waterloo, Waterloo, Ontario, Canada.
Haiyen SungInstitute for Health & Aging, School of Nursing, University of California at San Francisco, San Francisco, CA, USA.
Tingting YaoInstitute for Health & Aging, School of Nursing, University of California at San Francisco, San Francisco, CA, USA.
Yuan JiangTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Anne C K QuahUniversity of Waterloo, Waterloo, Ontario, Canada.
Geoffrey T FongUniversity of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Branding of cigarettes may play a role in shaping the smoking behaviors of Chinese smokers, and local brand (LB) cigarettes may reflect this influence because of greater tax and non-tax incentives compared to non-LB. Some of these brands are regional flagships that market to smokers using local landmarks or icons. What is added by this report?: LB brands were significantly more likely to be the usual brand of smokers residing in provincial-level administrative divisions (PLADs) that produced their own LB cigarettes [adjusted odds ratio (AOR): 30.95; 95% confidence interval (CI): 26.36-36.49] compared to those residing in PLADs that had non-local ventures with non-LB cigarettes. Further, smokers residing in urban areas were found to be less likely to smoke LB cigarettes (AOR: 0.79; 95% CI: 0.67-0.93) compared to those in rural areas. What are the implications for public health practice?: These findings suggest that LB smoking may be a result of industry-driven incentives to boost LB sales, fueled by such as supply-side strategies to boost LB sales or targeted cultural/social marketing that appeals to certain demographic groups. Although addressing these incentives to support LBs would be challenging given the nature of China's tobacco industry, doing so would have potential to reduce cigarette smoking and ultimately the health burden of smoking in China.

Indexed as

local brandrural and urban areasmokingtobacco control

Identifiers

PMID35686048
PMCPMC9167607

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.