Literaturnachweis - Detailanzeige
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. |
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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 |
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 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). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |