Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan
IntroductionElectronic cigarette (e-cigarette) use among adolescents has become increasingly common; therefore, effectively reducing adolescent e-cigarette use is an urgent issue. We aimed to predict and identify potential factors related to adolescent e-cigarette use behaviors.MethodsThis cross-sec...
প্রধান লেখক: | , , , , , , |
---|---|
বিন্যাস: | প্রবন্ধ |
ভাষা: | English |
প্রকাশিত: |
Frontiers Media S.A.
2023-06-01
|
মালা: | Frontiers in Public Health |
বিষয়গুলি: | |
অনলাইন ব্যবহার করুন: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1140615/full |
_version_ | 1827925527720099840 |
---|---|
author | Ping-I Liu Ping-I Liu Ming-Nan Lin Ming-Nan Lin Pei-Shan Ho Pei-Shan Ho Pei-Shan Ho Jui-Hsiu Tsai Jui-Hsiu Tsai Ya-Hui Yang Ke-Fei Wu Hung-Yi Chuang Hung-Yi Chuang |
author_facet | Ping-I Liu Ping-I Liu Ming-Nan Lin Ming-Nan Lin Pei-Shan Ho Pei-Shan Ho Pei-Shan Ho Jui-Hsiu Tsai Jui-Hsiu Tsai Ya-Hui Yang Ke-Fei Wu Hung-Yi Chuang Hung-Yi Chuang |
author_sort | Ping-I Liu |
collection | DOAJ |
description | IntroductionElectronic cigarette (e-cigarette) use among adolescents has become increasingly common; therefore, effectively reducing adolescent e-cigarette use is an urgent issue. We aimed to predict and identify potential factors related to adolescent e-cigarette use behaviors.MethodsThis cross-sectional study was conducted using anonymous questionnaires given to Taiwanese high school students in 2020. Approximately 1,289 adolescent students completed questions on e-cigarette use, personal characteristics, family environment, and substances used. We performed multivariate logistic regression analyses to assess the model’s predictive performance in terms of the area under the receiver operating characteristic curve.ResultsWe found that 9.3% of adolescent students used e-cigarettes. Tobacco smoking, close friends’ reactions to e-cigarette use, and the use of other substances were independent risk factors for adolescent e-cigarette use. Furthermore, relative to tobacco nonuse, tobacco use and tobacco smoking dependence had odds ratios of 76.49 and 113.81, respectively. The predictive accuracy of adolescent e-cigarette use from personal characteristics, family environment, and substance use status was 73.13, 75.91, and 93.80%, respectively.ConclusionThe present study highlights the need for early prevention of e-cigarette use among adolescents, particularly those with a history of using tobacco and other substances and those who have close friends with positive attitudes towards e-cigarette use. |
first_indexed | 2024-03-13T05:25:16Z |
format | Article |
id | doaj.art-53934b8afb674cd0848221034206b4e0 |
institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-03-13T05:25:16Z |
publishDate | 2023-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Public Health |
spelling | doaj.art-53934b8afb674cd0848221034206b4e02023-06-15T05:58:32ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-06-011110.3389/fpubh.2023.11406151140615Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, TaiwanPing-I Liu0Ping-I Liu1Ming-Nan Lin2Ming-Nan Lin3Pei-Shan Ho4Pei-Shan Ho5Pei-Shan Ho6Jui-Hsiu Tsai7Jui-Hsiu Tsai8Ya-Hui Yang9Ke-Fei Wu10Hung-Yi Chuang11Hung-Yi Chuang12Department of Family Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi, TaiwanDepartment of Geriatric Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi, TaiwanDepartment of Family Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi, TaiwanSchool of Medicine, Tzu Chi University, Hualien, TaiwanDepartment of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, TaiwanDepartment of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, TaiwanSchool of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, TaiwanSchool of Medicine, Tzu Chi University, Hualien, TaiwanDepartment of Psychiatry, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi, TaiwanDepartment of Health-Business Administration, Fooyin University, Kaohsiung, TaiwanDepartment of Business Management, National Taichung University of Science and Technology, Taichung, Taiwan0Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, and Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan1Department of Environmental and Occupational Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, TaiwanIntroductionElectronic cigarette (e-cigarette) use among adolescents has become increasingly common; therefore, effectively reducing adolescent e-cigarette use is an urgent issue. We aimed to predict and identify potential factors related to adolescent e-cigarette use behaviors.MethodsThis cross-sectional study was conducted using anonymous questionnaires given to Taiwanese high school students in 2020. Approximately 1,289 adolescent students completed questions on e-cigarette use, personal characteristics, family environment, and substances used. We performed multivariate logistic regression analyses to assess the model’s predictive performance in terms of the area under the receiver operating characteristic curve.ResultsWe found that 9.3% of adolescent students used e-cigarettes. Tobacco smoking, close friends’ reactions to e-cigarette use, and the use of other substances were independent risk factors for adolescent e-cigarette use. Furthermore, relative to tobacco nonuse, tobacco use and tobacco smoking dependence had odds ratios of 76.49 and 113.81, respectively. The predictive accuracy of adolescent e-cigarette use from personal characteristics, family environment, and substance use status was 73.13, 75.91, and 93.80%, respectively.ConclusionThe present study highlights the need for early prevention of e-cigarette use among adolescents, particularly those with a history of using tobacco and other substances and those who have close friends with positive attitudes towards e-cigarette use.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1140615/fullelectronic cigaretteadolescentpredictionrisk factorstobacco |
spellingShingle | Ping-I Liu Ping-I Liu Ming-Nan Lin Ming-Nan Lin Pei-Shan Ho Pei-Shan Ho Pei-Shan Ho Jui-Hsiu Tsai Jui-Hsiu Tsai Ya-Hui Yang Ke-Fei Wu Hung-Yi Chuang Hung-Yi Chuang Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan Frontiers in Public Health electronic cigarette adolescent prediction risk factors tobacco |
title | Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan |
title_full | Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan |
title_fullStr | Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan |
title_full_unstemmed | Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan |
title_short | Prediction and potential risk factors for electronic cigarette use behaviors among adolescents: a pilot study in Chiayi, Taiwan |
title_sort | prediction and potential risk factors for electronic cigarette use behaviors among adolescents a pilot study in chiayi taiwan |
topic | electronic cigarette adolescent prediction risk factors tobacco |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1140615/full |
work_keys_str_mv | AT pingiliu predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT pingiliu predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT mingnanlin predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT mingnanlin predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT peishanho predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT peishanho predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT peishanho predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT juihsiutsai predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT juihsiutsai predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT yahuiyang predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT kefeiwu predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT hungyichuang predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan AT hungyichuang predictionandpotentialriskfactorsforelectroniccigaretteusebehaviorsamongadolescentsapilotstudyinchiayitaiwan |