Evidence map›Paper›PMID 35125992›Full record

ArticleTobacco induced diseases2022

Electronic cigarette knowledge, attitudes and use among students at a university in Hangzhou, China.

Juan Fang, Jianping Ren, Lixian Ren, Wendy Max, Tingting Yao, Falin Zhao

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
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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

21 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Juan FangSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Jianping RenSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Lixian RenSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Wendy MaxInstitute for Health and Aging, School of Nursing, University of California San Francisco, San Francisco, United States.
Tingting YaoInstitute for Health and Aging, School of Nursing, University of California San Francisco, San Francisco, United States.
Falin ZhaoSchool of Public Health, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionElectronic cigarettes are increasingly popular worldwide, especially among youth. There is growing evidence of the negative health consequences of vaping. Our objective was to assess university students' knowledge and attitudes regarding electronic cigarettes (e-cigarettes), their use, as well as the associated influencing factors for their use.

methodsThe study involved an online cross-sectional survey conducted between November 2019 and March 2020 in a university in Hangzhou, China. A total of 563 students completed the questionnaire. Descriptive statistics were used to assess characteristics, knowledge, and attitudes; t-tests, χ

resultsIn all, 59.9% of respondents were female and the average age was 20.38 years (SD=1.32). Only 42.6% of the respondents thought that e-cigarettes contain nicotine, 31.1% thought e-cigarettes are tobacco products, and 8.2% of the students reported being ever e-cigarettes users. In regard to attitude, the average score of the students in the Safety dimension was 3.34 (SD=0.64), followed by the Restriction dimension (Mean=2.66, SD=0.83). Correlates of ever use included regions, friends' and roommates' ever e-cigarette use, and higher attitude score in the Supervision dimension.

conclusionsThe university students' level of knowledge regarding e-cigarettes was not high, and their attitudes regarding e-cigarettes were not that supportive. Students' ever use of e-cigarettes at a university in Hangzhou was higher than for university students in other cities in China, but lower than for those in foreign countries.

Indexed as

attitudeChinaelectronic cigaretteknowledgeuniversity students

Identifiers

PMID35125992
PMCPMC8796848

What OpenQuestion holds

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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.