Integrating Social Dynamics into Modeling Cigarette and E-Cigarette Use

Autor/inn/en	Chu, Kar-Hai; Shensa, Ariel; Colditz, Jason B.; Sidani, Jaime E.; Hoffman, Beth L.; Sinclair, David; Krauland, Mary G.; Primack, Brian A.
Titel	Integrating Social Dynamics into Modeling Cigarette and E-Cigarette Use
Quelle	In: Health Education & Behavior, 47 (2020) 2, S.191-201 (11 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Chu, Kar-Hai) ORCID (Sinclair, David)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1090-1981
DOI	10.1177/1090198119876242
Schlagwörter	Smoking; Electronic Equipment; Risk; Health Behavior; Prevention; Models; Program Implementation; Health Education; Public Policy; Social Influences; Public Health; Incidence; Educational Environment; Simulation; Pennsylvania + Suchen Sie Ihr Suchwort? Rauchen; Elektronisches Gerät; Risiko; Health behaviour; Gesundheitsverhalten; Prävention; Vorbeugung; Analogiemodell; Gesundheitsaufklärung; Gesundheitsbildung; Gesundheitserziehung; Öffentliche Ordnung; Sozialer Einfluss; Gesundheitswesen; Vorkommen; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Simulation program; Simulationsprogramm
Abstract	Background: The use of electronic cigarettes (e-cigarette) offers potential to facilitate cigarette smoking cessation, yet potentially increases risk of cigarette smoking initiation. This relationship has been primarily modeled in mathematical ways that often do not represent real-world complexities, which could inform decisions regarding local prevention programs or policies. Aims: To develop a model of cigarette and e-cigarette use that combines current research on tobacco use and incorporates real-world geographic and demographic data. Method: We used a platform for developing agent-based models with demographic information representative of the population in Pennsylvania. We developed three models of cigarette and e-cigarette use. The primary outcome for each was the total number of users for cigarette, e-cigarette, and total nicotine. The first model applied current cigarette and e-cigarette data, the second tested the effect of implementing a program of e-cigarette education and policies, and the third considered a social contagion factor, where local schools functioned as a transmission vector. Results: The baseline and social contagion models found an overall decline in cigarette use but an increase in e-cigarette and total nicotine use. The education/policies model had declines in all categories. Sensitivity analysis suggested the importance of nuanced e-cigarette/cigarette interactions when modeling tobacco use. Discussion: Public health campaigns that focus on reducing youth e-cigarette usage can have a large effect. Social contagion should be strongly considered when studying e-cigarette spread. Conclusion: Targeted public health campaigns focused on reducing school prevalence of e-cigarette use may be particularly valuable. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01