4.5 Article

How does health communication on social media influence e-cigarette perception and use? A trend analysis from 2017 to 2020

Journal

ADDICTIVE BEHAVIORS
Volume 149, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.addbeh.2023.107875

Keywords

Social media; Health communication; E-cigarette use; Tobacco use; Harm reduction; Public opinion

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This study finds that social media health communication has both direct and indirect effects on public attitudes and behaviors towards e-cigarettes, with the pathways of influence being influenced by increased information on social media and public health events. Stricter regulation of e-cigarette advertisements on social media and anti-e-cigarette education are called for to curb e-cigarette use.
Objective: E-cigarettes have achieved a high prevalence rapidly. While social media is among the most influential platforms for health communication, its impact on attitudes and behaviors of e-cigarettes and its changes over time remain underexplored. This study aims to address the gap.Methods: Four years of data (2017-2020) were derived from the U.S. Health Information National Trends Survey (HINTS) (aged 18-64 years, n = 9,914). Initially, key variables were compared across years. Furthermore, guided by the health belief model, we employed a moderated mediation model to examine the influence of social media health communication on the public's perceptions and behaviors related to e-cigarettes, distinguishing between smokers and non-smokers throughout the four-year period.Results: The evidence shows a process of dynamic interaction between communication, perception, and behavior. (1) We observed an increasing trend of social media health communication (SMH) and perceived relative harm of e-cigarettes (PHE). (2) Higher SMH was associated with more e-cigarette use directly in 2019. (3) Higher SMH was associated with less e-cigarette use indirectly through PHE in 2020. (4) Smokers consistently displayed heightened sensitivity in responding to harm perception compared to non-smokers. Conclusions: The findings support two mechanisms underlying the association between SMH and e-cigarette use: direct and indirect. The changes in the pathways during the timespan may have been influenced by increased e-cigarette information on social media and public health events like COVID-19. Stricter regulations for unverified e-cigarette advertisements and anti-e-cigarette education on social media are called for to curtail e-cigarette use.

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