Evidence map›Paper›PMID 42775226›Full record

ArticleTobacco induced diseases2026

Prevalence and factors associated with e-cigarette use among aspiring media professionals: A cross-sectional survey at a vocational college.

Congcong Li, Mingbiao Zhang, Jing Zhao, Anliang Zhao, Jiangtao Ye, Yusui Zhao, Xiaofeng Hou

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.

Congcong LiDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Mingbiao ZhangDongyang Center for Disease Control and Prevention, Dongyang, Jinhua, China.
Jing ZhaoDongyang Center for Disease Control and Prevention, Dongyang, Jinhua, China.
Anliang ZhaoHengdian College of Film and Television, Dongyang, Jinhua, China.
Jiangtao YeDongyang Center for Disease Control and Prevention, Dongyang, Jinhua, China.
Yusui ZhaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiaofeng HouDongyang Center for Disease Control and Prevention, Dongyang, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionE-cigarette use among college students is an emerging public health concern, particularly among those in media-related fields who may influence youth as future role models. This study examined the prevalence and factors associated with e-cigarette use among students at a vocational performing arts college in eastern China.

methodsA cross-sectional census survey was conducted from April to May 2025 at Hengdian College of Film and Television. All enrolled students present on campus were invited to complete an online questionnaire adapted from the National Tobacco Survey for College Students. Data on demographic characteristics, e-cigarette use, exposure to advertising and health information, and knowledge of tobacco hazards were collected. Chi-squared tests and binary logistic regression were used to identify factors associated with current e-cigarette use.

resultsAmong 9197 valid respondents (99.70% response rate; 69.90% female; mean age 18.83 years), the current e-cigarette use rate was 2.05%. Multivariate analysis identified the following significant associated factors: inadequate knowledge versus adequate knowledge (adjusted odds ratio, AOR=4.69; 95% CI: 3.44-6.40), maternal smoking versus neither parent smokes (AOR=9.44; 95% CI: 3.46-25.76), junior year versus freshman (AOR=3.46; 95% CI: 1.96-6.11), both parents smoking vs neither (AOR=3.04; 95% CI: 1.71-5.42), witnessing public smoking versus not (AOR=2.67; 95% CI: 1.82-3.91), male versus female (AOR=2.36; 95% CI: 1.74-3.20), sophomore year versus freshman (AOR=1.44; 95 CI: 1.09-1.91), and having smoking roommates versus not (AOR=1.26; 95% CI: 1.07-1.48). Nearly half reported exposure to e-cigarette advertising, while over 60% encountered anti-e-cigarette information.

conclusionsThe associations identified highlight the need for further longitudinal investigation into modifiable factors and environmental influences. Special attention should be given to students with maternal smoking and those in smoking-normalized environments.

Indexed as

Chinacollege studentse-cigarette usetobacco controlvocational education

Identifiers

PMID42775226
PMCPMC13595437

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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.