Factors Associated with Tobacco Cessation Services Request Among Users of an Online Self-Screening Questionnaire
These results suggest the random forest algorithm's effectiveness in predicting potential cessation service users. Furthermore, the predictor variables provide valuable insights for designing targeted prevention and awareness campaigns, potentially leading to improved campaign effectiveness and more individuals receiving cessation support.
Authors
- Ricardo Sánchez-Domínguez (ORCID: https://orcid.org/0000-0001-6221-6091)
- Norberto Francisco Hernández-Llanes (ORCID: https://orcid.org/0000-0001-5918-3137)
- Rodrigo Marín-Navarrete (ORCID: https://orcid.org/0000-0002-6084-8199)
- Sofía Álvarez Reza (ORCID: https://orcid.org/0000-0001-7380-5297)
- Carmen Fernández-Cáceres (ORCID: https://orcid.org/0009-0000-1851-194X)
Institutions
- Directorate General of Traffic (ES)
- Consejería de Educación de la Junta de Castilla y León (ES)
- Centro de Investigación en Alimentación y Desarrollo (MX)
- Centro de Estudos em Psicologia da Saúde (BR)
Publication Details
- Journal
- Substance Use & Misuse
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1080/10826084.2024.2445851
- Primary Topic
- Smoking Behavior and Cessation
- Type
- article
- Field-Weighted Citation Impact
- 0.00