Evidence map›Paper›PMID 35487748›Full record

ArticleBMJ open2022

Cross-sectional survey on cigarette smoking in Chinese high-income areas.

Lei Yuan, Pei Liu, Zhe Zhao, Zhenbang Wei, Lijuan Liu, Jinhai Sun

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Lei Yuan *Department of Health Management, Second Military Medical University, Shanghai, People's Republic of China yuanleigz@163.com liulijuan79@sina.com sunjinhai2003@sina.com.ORCID 0000-0001-9069-9481
Pei Liu *Department of Mathematics and Physics, Second Military Medical University, Shanghai, People's Republic of China.
Zhe Zhao *Department of Health Management, Second Military Medical University, Shanghai, People's Republic of China.
Zhenbang WeiDepartment of Health Management, Second Military Medical University, Shanghai, People's Republic of China.
Lijuan LiuDepartment of Health Management, Second Military Medical University, Shanghai, People's Republic of China yuanleigz@163.com liulijuan79@sina.com sunjinhai2003@sina.com.
Jinhai SunDepartment of Health Management, Second Military Medical University, Shanghai, People's Republic of China yuanleigz@163.com liulijuan79@sina.com sunjinhai2003@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate smoking status and its influencing factors in high-income areas of China.

designCross-sectional.

settingHigh-income areas in China.

participants4064 persons aged 15 years or older from the survey results in

methodsGross national income data were used to determine China's high-income economic regions, and the results of the survey in

resultsA total of 4064 people were included in our study, including 881 current smokers, 2884 who had never smoked and 299 who had quit smoking. Using the standardised rate method, the standardised smoking rates in high-income and non-high-income areas in China were calculated to be 23.56% and 27.77%, respectively. Men, high school education or below, knowledge of e-cigarette information, permission to smoke at home and people with poor smoking health literacy are the main influencing factors of smokers in high-income areas of China.

conclusionThe smoking rate of people in China's high-income areas is lower than the overall smoking rate in China, and we should increase the public awareness that smoking is harmful to health, encourage the prohibition of smoking at home, increase investment in higher education and improve residents' smoking health literacy level. The purpose of this study was to encourage reduction in the rate of smoking and better control the prevalence of smoking.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsAdultChinaCross-Sectional StudiesHumansMaleNicotianaChinahigh income areainvestigatesmokingsmoking knowledge

Identifiers

PMID35487748
PMCPMC9058778

What OpenQuestion holds

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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.