Assessing the effects of social media based anti-tobacco campaigns on tobacco use among youth in Virginia: an agent-based simulation approach.
Anti-tobacco campaigns contributed to the great decline of adolescent cigarette smoking in the United States from 2000 to 2022. However, studies on the ways in which campaigns are designed and disseminated on social media to generate optimal impact are limited. We aim to examine the effect of variou...
| Publicado en: | European Journal of Public Health Vol. 35; no. 5; pp. 924 - 930 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188809821&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188809821 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Oct2025 vid: 35 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 188809821 188809821 188809821 10.1093/eurpub/ckaf085 188809821 ppf: 924 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Assessing the effects of social media based anti-tobacco campaigns on tobacco use among youth in Virginia: an agent-based simulation approach. aug: au: Lin, Shuo-yu Koch, J Randy Barnes, Andrew J Hayes, Rashelle B Xue, Hong affil: Department of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, VA, United States sug: subj: Smoking Cessation Programs Virginia Smoking Cessation Health Promotion Methods Social Media Smoking Prevention and Control Program Evaluation Human Male Female Adolescence Students, High School Psychosocial Factors Virginia Comparative Studies Descriptive Statistics Computer Simulation Conceptual Framework Confidence Intervals Odds Ratio Decision Making Data Analysis Software Tobacco Use Cessation Products Questionnaires Health Behavior Adolescent Behavior Evaluation Learning Environment Simulations School Health Education Funding Source Adolescent: 13-18 years Male Female ab: Anti-tobacco campaigns contributed to the great decline of adolescent cigarette smoking in the United States from 2000 to 2022. However, studies on the ways in which campaigns are designed and disseminated on social media to generate optimal impact are limited. We aim to examine the effect of various campaign designs implemented under different structures of social-network influencers on reducing tobacco use among youth in Virginia. An agent-based model (ABM) was deployed from bottom-up to project the influence of anti-tobacco media campaign intervention and social media influencers on students' smoking decisions. High school students in ninth grade reporting never smoking were followed for 48 months through 12th grade. Simulation models assessed student smoking behaviors, accounting for potential interactions with assigned micro/macro factors, social-network structures, and interventions. We found that an anti-tobacco campaign is more likely to reduce smoking intensity than prevalence. A 10% increase in the state-wide campaign reach was associated with 1.31 fewer cigarettes consumed monthly [95% confidence interval (CI): 1.06–1.56], with the effects more substantial in the central and southwest regions of Virginia. For campaigns utilizing five social-media influencers per 1000 youth, a 10% increase in reach was associated with 2.60 fewer cigarettes consumed monthly (95% CI: 2.34–2.87), where the effect of the campaign reach was maximized at 15.13%. Our pioneer study suggests that engaging social media influencers in anti-tobacco social media campaigns is one potentially effective strategy for tobacco use control and prevention. Future research is needed to validate findings in other samples. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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