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Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study

OBJECTIVES: This study aimed to examine cigarette use distribution, pattern of e-cigarette use and to determine socioecological model (SEM) factors associated with e-cigarette use among Thai youth (aged 15–24). DESIGN: An institution-based cross-sectional study. PARTICIPANTS: The study conducted in...

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Autores principales: Seeherunwong, Acharaporn, Tipayamongkholgul, Mathuros, Angsukiattitavorn, Suleemas, Muangsakul, Wipanun, Singkhon, Onnalin, Junda, Sangdao, Sittichai, Ruthaychonnee, Ondee, Pasitta, Aekplakorn, Wichai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351228/
https://www.ncbi.nlm.nih.gov/pubmed/37451713
http://dx.doi.org/10.1136/bmjopen-2022-069083
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author Seeherunwong, Acharaporn
Tipayamongkholgul, Mathuros
Angsukiattitavorn, Suleemas
Muangsakul, Wipanun
Singkhon, Onnalin
Junda, Sangdao
Sittichai, Ruthaychonnee
Ondee, Pasitta
Aekplakorn, Wichai
author_facet Seeherunwong, Acharaporn
Tipayamongkholgul, Mathuros
Angsukiattitavorn, Suleemas
Muangsakul, Wipanun
Singkhon, Onnalin
Junda, Sangdao
Sittichai, Ruthaychonnee
Ondee, Pasitta
Aekplakorn, Wichai
author_sort Seeherunwong, Acharaporn
collection PubMed
description OBJECTIVES: This study aimed to examine cigarette use distribution, pattern of e-cigarette use and to determine socioecological model (SEM) factors associated with e-cigarette use among Thai youth (aged 15–24). DESIGN: An institution-based cross-sectional study. PARTICIPANTS: The study conducted in five regions: the north, south, central, northeast and Bangkok area of Thailand from May to October 2021. An internet-based, self-administered questionnaire was developed based on the SEM. We enrolled 13 139 students who understood Thai and voluntarily consented to participate in the study. Hierarchical generalised estimating equations identified the related factors to e-cigarette use consistent with the SEM. RESULTS: Of 12 948 respondents (95.5%), 181 were excluded due to a lack of cigarette use status. Of 12 767, the prevalence of cigarette use was 4.3%, e-cigarette use was 3.5% and dual-use was 2.4%. E-cigarettes were a much more favourable choice among female youth than cigarettes. E-cigarette users tended to express more positive beliefs towards e-cigarettes than non-users. Although the use of e-cigarettes is illegal in Thailand, 66% of users obtained e-cigarettes from online markets and 4% from grocery stores. We found that having a girlfriend or boyfriend who uses e-cigarettes increased the odds of e-cigarette use by 3.239 times. Interestingly, higher odds of e-cigarette use were associated with peer use than with sibling use among e-cigarette users. (Adjusted OR 2.786, 95% CI 1.844 to 4.208 and 2.485, 95% CI 1.402 to 4.404, respectively). Exposure to e-cigarette use in school increased the odds of e-cigarette use by four times. CONCLUSION: This institution-based cross-sectional study revealed that youth e-cigarette use is a significant problem. To prevent the increasing rate of e-cigarette use, health literacy about e-cigarette use, including media and information literacy, should be launched across all levels of the school environment to enlist youth to stand against the negative impacts of e-cigarette use among all those of school age.
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spelling pubmed-103512282023-07-18 Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study Seeherunwong, Acharaporn Tipayamongkholgul, Mathuros Angsukiattitavorn, Suleemas Muangsakul, Wipanun Singkhon, Onnalin Junda, Sangdao Sittichai, Ruthaychonnee Ondee, Pasitta Aekplakorn, Wichai BMJ Open Public Health OBJECTIVES: This study aimed to examine cigarette use distribution, pattern of e-cigarette use and to determine socioecological model (SEM) factors associated with e-cigarette use among Thai youth (aged 15–24). DESIGN: An institution-based cross-sectional study. PARTICIPANTS: The study conducted in five regions: the north, south, central, northeast and Bangkok area of Thailand from May to October 2021. An internet-based, self-administered questionnaire was developed based on the SEM. We enrolled 13 139 students who understood Thai and voluntarily consented to participate in the study. Hierarchical generalised estimating equations identified the related factors to e-cigarette use consistent with the SEM. RESULTS: Of 12 948 respondents (95.5%), 181 were excluded due to a lack of cigarette use status. Of 12 767, the prevalence of cigarette use was 4.3%, e-cigarette use was 3.5% and dual-use was 2.4%. E-cigarettes were a much more favourable choice among female youth than cigarettes. E-cigarette users tended to express more positive beliefs towards e-cigarettes than non-users. Although the use of e-cigarettes is illegal in Thailand, 66% of users obtained e-cigarettes from online markets and 4% from grocery stores. We found that having a girlfriend or boyfriend who uses e-cigarettes increased the odds of e-cigarette use by 3.239 times. Interestingly, higher odds of e-cigarette use were associated with peer use than with sibling use among e-cigarette users. (Adjusted OR 2.786, 95% CI 1.844 to 4.208 and 2.485, 95% CI 1.402 to 4.404, respectively). Exposure to e-cigarette use in school increased the odds of e-cigarette use by four times. CONCLUSION: This institution-based cross-sectional study revealed that youth e-cigarette use is a significant problem. To prevent the increasing rate of e-cigarette use, health literacy about e-cigarette use, including media and information literacy, should be launched across all levels of the school environment to enlist youth to stand against the negative impacts of e-cigarette use among all those of school age. BMJ Publishing Group 2023-07-14 /pmc/articles/PMC10351228/ /pubmed/37451713 http://dx.doi.org/10.1136/bmjopen-2022-069083 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Seeherunwong, Acharaporn
Tipayamongkholgul, Mathuros
Angsukiattitavorn, Suleemas
Muangsakul, Wipanun
Singkhon, Onnalin
Junda, Sangdao
Sittichai, Ruthaychonnee
Ondee, Pasitta
Aekplakorn, Wichai
Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title_full Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title_fullStr Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title_full_unstemmed Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title_short Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study
title_sort association between socioecological factors and electronic cigarette use among thai youth: an institution-based cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351228/
https://www.ncbi.nlm.nih.gov/pubmed/37451713
http://dx.doi.org/10.1136/bmjopen-2022-069083
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