Evidence map›Paper›PMID 37781237›Full record

ArticleTobacco induced diseases2023

Factors associated with e-cigarette use among vocational students: A cross-sectional multistage cluster survey, Thailand.

Sarunya Benjakul, Saroj Nakju, Lakkhana Termsirikulchai

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

3 authors.

Sarunya BenjakulDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Saroj NakjuFaculty of Public Health, Ramkhamhaeng University, Bangkok, Thailand.
Lakkhana TermsirikulchaiTobacco Control Capacity Building Center, Thai Wellbeing Foundation, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of e-cigarettes has steadily increased, and vocational students are one primary target of e-cigarette marketing. This cross-sectional survey research aimed to explore e-cigarette use and examine the factors associated with it.

methodsMultistage cluster random sampling was employed to select 1536 students in vocational education institutions. A self-administered questionnaire was used to collect the data from September to December 2019. Multinomial logistic regression analysis was used to obtain the adjusted odds ratio (AOR) to determine the associated factors of e-cigarette use.

resultsAltogether, 28.7% of the subjects were currently e-cigarette users, 7.4% used e-cigarettes only, and 21.3% were dual users. Various factors were found to be significantly associated with e-cigarette use by 43.7%. Those consisted of sex (male) (AOR=2.183; 95% CI: 1.510-3.157), grade point average (GPA) of <2.5 (AOR=2.363; 95% CI: 1.502-3.717), having neutral attitudes toward e-cigarette use (AOR=2.676; 95% CI: 1.499-4.779) and positive attitudes toward e-cigarette use (AOR=4.171; 95% CI: 2.250-7.734), moderate level of perceived behavioral control on e-cigarette use (AOR=3.520; 95% CI: 2.287-5.418) and low level of perceived behavioral control on e-cigarettes use (AOR=4.959; 95% CI: 3.274-7.511), moderate price of e-cigarettes (AOR=1.436; 95% CI: 1.009-2.044), and e-cigarette use of their parents (AOR=1.827; 95% CI: 1.137-2.938), close friends (AOR=4.327; 95% CI: 2.954-6.338) and idols (AOR=4.604; 95% CI: 1.844-11.497).

conclusionsStudents should be encouraged to develop negative attitudes toward e-cigarette use and increase their self-confidence to control the use of e-cigarettes. This can be achieved by regularly distributing information on the product's risks. Moreover, students can find inspiration and guidance from peers, close friends, or their idols, who will act as positive role models and inspire them not to initiate e-cigarette use.

Indexed as

associated factorse-cigarettes usePRECEDE frameworkvocational students

Identifiers

PMID37781237
PMCPMC10535840

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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.