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Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation

BACKGROUND: Non-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This pape...

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Autores principales: Ma, Yuanyuan, Zhou, Mengxia, Yu, Wenli, Zou, Ziyue, Ge, Pu, Ma, Zheng Feei, Tong, Yuting, Li, Wei, Li, Qiyu, Li, Yunshan, Zhu, Siya, Sun, Xinying, Wu, Yibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127360/
https://www.ncbi.nlm.nih.gov/pubmed/37098499
http://dx.doi.org/10.1186/s12889-023-15644-5
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author Ma, Yuanyuan
Zhou, Mengxia
Yu, Wenli
Zou, Ziyue
Ge, Pu
Ma, Zheng Feei
Tong, Yuting
Li, Wei
Li, Qiyu
Li, Yunshan
Zhu, Siya
Sun, Xinying
Wu, Yibo
author_facet Ma, Yuanyuan
Zhou, Mengxia
Yu, Wenli
Zou, Ziyue
Ge, Pu
Ma, Zheng Feei
Tong, Yuting
Li, Wei
Li, Qiyu
Li, Yunshan
Zhu, Siya
Sun, Xinying
Wu, Yibo
author_sort Ma, Yuanyuan
collection PubMed
description BACKGROUND: Non-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This paper aims to study the influencing factors of tobacco control intention and behavior of non-smoking college students in China by combining the UTAUT and e-HL. METHODS: Based on the stratified sampling method, 625 college students from 12 universities were selected. Data were collected using a self-made questionnaire designed based on the UTAUT and e-health literacy scales. Data were analyzed by SPSS 22 and AMOS 26, including descriptive statistics, one-way variance analysis and structural equation model analysis. RESULTS: The results of one-way variance analysis showed that there were significant differences in the score of non-smoking college students’ tobacco control intention or behavior by hometowns, monthly living expenses, and parents' smoking history. Performance expectancy, effort expectancy, social influence had direct positive effects on behavioral intention. Facilitating condition, behavioral intention had direct positive impacts on use behavior and e-HL had an indirect positive impact on use behavior. CONCLUSIONS: The combination of the UTAUT and e-HL can be used as an appropriate framework to predict the influencing factors of non-smoking college students' intention and behavior of tobacco control. Improving performance expectancy, effort expectancy, and e-HL among non-smoking college students, creating positive social environments, and providing facilitating condition are key aspects of increasing their tobacco control intention and behavior. It is also beneficial to promote the implementation of smoke-free campus and smoke-free family projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15644-5.
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spelling pubmed-101273602023-04-26 Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation Ma, Yuanyuan Zhou, Mengxia Yu, Wenli Zou, Ziyue Ge, Pu Ma, Zheng Feei Tong, Yuting Li, Wei Li, Qiyu Li, Yunshan Zhu, Siya Sun, Xinying Wu, Yibo BMC Public Health Research BACKGROUND: Non-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This paper aims to study the influencing factors of tobacco control intention and behavior of non-smoking college students in China by combining the UTAUT and e-HL. METHODS: Based on the stratified sampling method, 625 college students from 12 universities were selected. Data were collected using a self-made questionnaire designed based on the UTAUT and e-health literacy scales. Data were analyzed by SPSS 22 and AMOS 26, including descriptive statistics, one-way variance analysis and structural equation model analysis. RESULTS: The results of one-way variance analysis showed that there were significant differences in the score of non-smoking college students’ tobacco control intention or behavior by hometowns, monthly living expenses, and parents' smoking history. Performance expectancy, effort expectancy, social influence had direct positive effects on behavioral intention. Facilitating condition, behavioral intention had direct positive impacts on use behavior and e-HL had an indirect positive impact on use behavior. CONCLUSIONS: The combination of the UTAUT and e-HL can be used as an appropriate framework to predict the influencing factors of non-smoking college students' intention and behavior of tobacco control. Improving performance expectancy, effort expectancy, and e-HL among non-smoking college students, creating positive social environments, and providing facilitating condition are key aspects of increasing their tobacco control intention and behavior. It is also beneficial to promote the implementation of smoke-free campus and smoke-free family projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15644-5. BioMed Central 2023-04-25 /pmc/articles/PMC10127360/ /pubmed/37098499 http://dx.doi.org/10.1186/s12889-023-15644-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ma, Yuanyuan
Zhou, Mengxia
Yu, Wenli
Zou, Ziyue
Ge, Pu
Ma, Zheng Feei
Tong, Yuting
Li, Wei
Li, Qiyu
Li, Yunshan
Zhu, Siya
Sun, Xinying
Wu, Yibo
Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title_full Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title_fullStr Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title_full_unstemmed Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title_short Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation
title_sort using the unified theory of acceptance and use of technology (utaut) and e-health literacy(e-hl) to investigate the tobacco control intentions and behaviors of non-smoking college students in china: a cross-sectional investigation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127360/
https://www.ncbi.nlm.nih.gov/pubmed/37098499
http://dx.doi.org/10.1186/s12889-023-15644-5
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