2023
DOI: 10.1186/s12889-023-15644-5
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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

Abstract: 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 … Show more

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Cited by 5 publications
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“…Previous studies have employed several methodologies, including the Health Belief Model (HBM), Knowledge, Attitudes, and Practices (KAP), and zero-inflated models, to identify the determinants of tobacco control. However, these studies have encountered some drawbacks, such as poor statistical significance, inadequate study scope, and incomplete identification of influencing factors ( Ma et al, 2023 ). The protection motivation theory (PMT) is a robust theoretical framework that can effectively forecast the intentions of individuals to quit smoking ( Yan et al, 2014 ; Xu and Chen, 2016 ; Lin and Chang, 2021 ; Lin et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have employed several methodologies, including the Health Belief Model (HBM), Knowledge, Attitudes, and Practices (KAP), and zero-inflated models, to identify the determinants of tobacco control. However, these studies have encountered some drawbacks, such as poor statistical significance, inadequate study scope, and incomplete identification of influencing factors ( Ma et al, 2023 ). The protection motivation theory (PMT) is a robust theoretical framework that can effectively forecast the intentions of individuals to quit smoking ( Yan et al, 2014 ; Xu and Chen, 2016 ; Lin and Chang, 2021 ; Lin et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%