Hongying Dai1,2,3, Michael J Deem4,5, Jianqiang Hao6. 1. Health Services and Outcomes Research, Children's Mercy Hospital, Kansas City, MO, USA. hdai@cmh.edu. 2. Department of Biomedical and Health Informatics, University of Missouri-Kansas City, Kansas City, USA. hdai@cmh.edu. 3. Department of Pediatrics, University of Missouri-Kansas City, Kansas City, USA. hdai@cmh.edu. 4. Department of Multidisciplinary Studies, Indiana State University, Terre Haute, IN, USA. 5. The Center for Genomic Advocacy, Indiana State University, Terre Haute, IN, USA. 6. Bellevue University, Omaha, NE, USA.
Abstract
OBJECTIVES: Studies have identified a proliferation of e-cigarette advertisements on Twitter. We investigate whether the prevalence of e-cigarette related advertising is associated with state tobacco regulations after taking socio-economic characteristics into account. METHODS: We collected e-cigarette related tweets from July 23 to October 14, 2015 (n = 757,167) on Twitter. State regulations and smoking prevalence were provided by the Campaign for Tobacco-Free Kids program. The socio-economic data were provided by the American Community Survey. RESULTS: The number of commercial tweets was 319,041/day with a high potential reach (830,495,700/day). The prevalence of commercial tweets varied significantly by US state. The higher prevalence of e-cigarette advertising was associated with states with better tobacco control impact (r = 0.54, p < 0.0001) and lower youth smoking prevalence (r = -0.39, p = 0.005). In the multivariate analysis, state tobacco control impact is significantly associated with the prevalence of commercial tweets (β = 0.03 ± 0.01, p = 0.02). CONCLUSIONS: Policies at both the federal and state levels are needed to regulate the content of commercial tweets and mitigate the negative effect of social media advertisements.
OBJECTIVES: Studies have identified a proliferation of e-cigarette advertisements on Twitter. We investigate whether the prevalence of e-cigarette related advertising is associated with state tobacco regulations after taking socio-economic characteristics into account. METHODS: We collected e-cigarette related tweets from July 23 to October 14, 2015 (n = 757,167) on Twitter. State regulations and smoking prevalence were provided by the Campaign for Tobacco-Free Kids program. The socio-economic data were provided by the American Community Survey. RESULTS: The number of commercial tweets was 319,041/day with a high potential reach (830,495,700/day). The prevalence of commercial tweets varied significantly by US state. The higher prevalence of e-cigarette advertising was associated with states with better tobacco control impact (r = 0.54, p < 0.0001) and lower youth smoking prevalence (r = -0.39, p = 0.005). In the multivariate analysis, state tobacco control impact is significantly associated with the prevalence of commercial tweets (β = 0.03 ± 0.01, p = 0.02). CONCLUSIONS: Policies at both the federal and state levels are needed to regulate the content of commercial tweets and mitigate the negative effect of social media advertisements.
Entities:
Keywords:
Commercial; E-cigarette; Prevalence; Socio-economic factors; State regulation
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