This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3114) Smoking Cessation (518) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459)

Published on in Vol 19, No 11 (2017): November

Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes

Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes

Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes

Authors of this article:

Raquel Paz Castro1 Author Orcid Image ;   Severin Haug1 Author Orcid Image ;   Andreas Filler2, 3 Author Orcid Image ;   Tobias Kowatsch2 Author Orcid Image ;   Michael P Schaub1 Author Orcid Image
Article Authors Cited by (18) Tweetations (17) Metrics

Journals

  1. Psihogios A, Li Y, Butler E, Hamilton J, Daniel L, Barakat L, Bonafide C, Schwartz L. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR mHealth and uHealth 2019;7(4):e12547 View
  2. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  3. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  4. Kramer J, Künzler F, Mishra V, Presset B, Kotz D, Smith S, Scholz U, Kowatsch T. Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial. JMIR Research Protocols 2019;8(1):e11540 View
  5. Stieger M, Wepfer S, Rüegger D, Kowatsch T, Roberts B, Allemand M, Wrzus C. Becoming More Conscientious or More Open to Experience? Effects of a Two‐Week Smartphone‐Based Intervention for Personality Change. European Journal of Personality 2020;34(3):345 View
  6. Vogel E, Ramo D, Meacham M, Prochaska J, Delucchi K, Humfleet G. The Put It Out Project (POP) Facebook Intervention for Young Sexual and Gender Minority Smokers: Outcomes of a Pilot, Randomized, Controlled Trial. Nicotine & Tobacco Research 2020;22(9):1614 View
  7. Haug S, Castro R, Wenger A, Schaub M. Efficacy of a smartphone-based coaching program for addiction prevention among apprentices: study protocol of a cluster-randomised controlled trial. BMC Public Health 2020;20(1) View
  8. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  9. Psihogios A, King-Dowling S, O’Hagan B, Darabos K, Maurer L, Young J, Fleisher L, Barakat L, Szalda D, Hill-Kayser C, Schwartz L. Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors. Annals of Behavioral Medicine 2021;55(12):1220 View
  10. Haug S, Paz Castro R, Wenger A, Schaub M. A Mobile Phone–Based Life-Skills Training Program for Substance Use Prevention Among Adolescents: Cluster-Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e26951 View
  11. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  12. Paz Castro R, Haug S, Debelak R, Jakob R, Kowatsch T, Schaub M. Engagement With a Mobile Phone–Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis. Journal of Medical Internet Research 2022;24(1):e28638 View
  13. Ismail I, Tahlil T, Nursalam N, Marli Kesuma Z, Rauzhatul Jannah S, Kamil H, Fithria F, Rochadi K. Effectiveness of a Social Marketing Mix Intervention on Changing the Smoking Behavior of Santri in Traditional Islamic Boarding Schools in Indonesia. Journal of Preventive Medicine and Public Health 2022;55(6):586 View
  14. Chung T, Ahn C, Suffoletto B. Trajectory classes of engagement with an alcohol text message intervention and predictors of intervention engagement. Addictive Behaviors 2023;144:107729 View
  15. Haug S, Boumparis N, Wenger A, Schaub M, Kiselev N. Predictors of Youth Accessibility for a Mobile Phone-Based Life Skills Training Program for Addiction Prevention. International Journal of Environmental Research and Public Health 2023;20(14):6379 View
  16. Struik L, Christianson K, Khan S, Sharma R. Strengths and Limitations of Web-Based Cessation Support for Individuals Who Smoke, Dual Use, or Vape: Qualitative Interview Study. JMIR Formative Research 2023;7:e43096 View
  17. Clement A, Ravet M, Stanger C, Gabrielli J. Feasibility, usability, and acceptability of MobileCoach-Teen: A smartphone app-based preventative intervention for risky adolescent drinking behavior. Journal of Substance Use and Addiction Treatment 2024;159:209275 View
  18. Wang Y, DeVito Dabbs A, Thomas T, Campbell G, Donovan H. Measuring Engagement in Provider-guided Digital Health Interventions: Development of a Conceptual and Analytical Framework Using Nurse WRITE as an Exemplar (Preprint). JMIR Formative Research 2024 View