Xia Zheng1, Wenbo Li2, Su-Wei Wong3, Hsien-Chang Lin4. 1. Communication Science and Cognitive Science Program, The Media School, Indiana University, Bloomington, IN, United States. 2. School of Communication, The Ohio State University, Columbus, OH, United States. 3. Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States. 4. Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, United States. Electronic address: linhsi@indiana.edu.
Abstract
OBJECTIVES: Previous studies revealed a link between social media use and e-cigarette use among U.S. youth, but less is known about the mechanisms through which they interconnect. This study examined how social media and e-cigarette use are connected through online advertisement exposure and risk perception of e-cigarettes among U.S. youth. METHODS: Youth aged 12-17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2-4 (2014-2018) were included (N = 6,208). This study integrated the incidental exposure framework and the risk perception framework to guide study conceptualization and variable selection. Generalized structural equation modeling was performed to investigate the sequential mediation relationship between social media and e-cigarette use through online e-cigarette advertisement exposure and risk perception of e-cigarette use. RESULTS: Youth respondents with more social media use were more likely to be exposed to e-cigarette advertisement at Wave 2 (OR = 1.13, p < 0.001), which led to lower e-cigarette risk perception at Wave 3 (β = -0.07, p < 0.001). Higher e-cigarette risk perception at Wave 3 resulted in lower likelihood of e-cigarette use at Wave 4 (OR = 0.57, p < 0.001). High social media use at Wave 2 was directly associated with high likelihood of e-cigarette use at Wave 4 (OR = 1.11, p < 0.001). CONCLUSIONS: The results indicate that social media use is associated with increased e-cigarette use through online e-cigarette advertisement exposure and subsequently decreased e-cigarette risk perception among U.S. youth. Our findings underscore the importance of regulating online e-cigarette advertisement, with the emphasis of avoiding information that could twist youth's risk perception of e-cigarettes, which may in turn curtail youth e-cigarette use.
OBJECTIVES: Previous studies revealed a link between social media use and e-cigarette use among U.S. youth, but less is known about the mechanisms through which they interconnect. This study examined how social media and e-cigarette use are connected through online advertisement exposure and risk perception of e-cigarettes among U.S. youth. METHODS: Youth aged 12-17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2-4 (2014-2018) were included (N = 6,208). This study integrated the incidental exposure framework and the risk perception framework to guide study conceptualization and variable selection. Generalized structural equation modeling was performed to investigate the sequential mediation relationship between social media and e-cigarette use through online e-cigarette advertisement exposure and risk perception of e-cigarette use. RESULTS: Youth respondents with more social media use were more likely to be exposed to e-cigarette advertisement at Wave 2 (OR = 1.13, p < 0.001), which led to lower e-cigarette risk perception at Wave 3 (β = -0.07, p < 0.001). Higher e-cigarette risk perception at Wave 3 resulted in lower likelihood of e-cigarette use at Wave 4 (OR = 0.57, p < 0.001). High social media use at Wave 2 was directly associated with high likelihood of e-cigarette use at Wave 4 (OR = 1.11, p < 0.001). CONCLUSIONS: The results indicate that social media use is associated with increased e-cigarette use through online e-cigarette advertisement exposure and subsequently decreased e-cigarette risk perception among U.S. youth. Our findings underscore the importance of regulating online e-cigarette advertisement, with the emphasis of avoiding information that could twist youth's risk perception of e-cigarettes, which may in turn curtail youth e-cigarette use.
Authors: Stephen R Shamblen; Melissa H Abadi; Kirsten T Thompson; Grisel García-Ramírez; Bonnie O Richard Journal: Int J Environ Res Public Health Date: 2022-07-01 Impact factor: 4.614
Authors: Yasir Abbasi; Marie-Claire Van Hout; Mohamed Faragalla; Lynn Itani Journal: Int J Environ Res Public Health Date: 2022-06-26 Impact factor: 4.614
Authors: Qian Liu; Yu Liang; Siyi Wang; Zhongguo Huang; Qing Wang; Miaoyutian Jia; Zihang Li; Wai-Kit Ming Journal: Int J Environ Res Public Health Date: 2022-06-21 Impact factor: 4.614
Authors: Katherine East; Jessica L Reid; Robin Burkhalter; Olivia A Wackowski; James F Thrasher; Harry Tattan-Birch; Christian Boudreau; Maansi Bansal-Travers; Alex C Liber; Ann McNeill; David Hammond Journal: Nicotine Tob Res Date: 2022-08-06 Impact factor: 5.825
Authors: Vuong V Do; Amy L Nyman; Yoonsang Kim; Sherry L Emery; Scott R Weaver; Jidong Huang Journal: Int J Environ Res Public Health Date: 2022-10-03 Impact factor: 4.614