Young Smokers’ Therapy Preferences: App-Based vs. Face-to-Face Treatment in the Context of Co-Addictions
Metadatos
Mostrar el registro completo del ítemAutor
López-Torrecillas, Francisca; Arcos-Rueda, María del Mar; Cobo-Rodríguez, Beatriz; Muñoz-López, LucasEditorial
MDPI
Materia
Smoking cessation app-based therapy face-to-face therapy
Fecha
2025-09-17Referencia bibliográfica
López-Torrecillas, F.; Arcos-Rueda, M.d.M.; CoboRodríguez, B.; Muñoz-López, L. Young Smokers’ Therapy Preferences: App-Based vs. Face-to-Face Treatment in the Context of Co-Addictions. Healthcare 2025, 13, 2326. https://doi.org/10.3390/healthcare13182326
Resumen
Background: Tobacco use remains a major public health concern among young adults and
is often complicated by co-occurring addictive behaviors. Objective: This study analyzed
motivation for change, assessed with the decisional balance framework, in relation to
multiple addictions among young smokers seeking treatment. Methods: Ninety-eight
participants from the University of Granada enrolled in either an app-based cognitive–
behavioral therapy (CBT) program (n = 35) or a traditional face-to-face CBT program
(n = 63). Recruitment relied on self-identification and voluntary participation. Standardized instruments were applied to measure nicotine dependence (FTND), behavioral and
substance-related addictions (MULTICAGE CAD-4), cannabis dependence (SDS), and
motivation for change (DBQ). Logistic and stepwise regression analyses were conducted
to identify predictors of treatment choice and motivational outcomes. Results: Younger
participants and students were more likely to choose the app-based program. Compulsive
buying was linked to perceiving more disadvantages of smoking, whereas sex addiction,
cannabis dependence, and other substance addictions were associated with perceiving
fewer disadvantages. Conclusions: Treatment preferences and motivational profiles differ
according to age, academic status, and co-occurring addictions. These findings highlight
the need to tailor smoking cessation strategies to individual profiles and support the role of
mobile health tools in engaging digitally oriented populations.





