Published on in Vol 16, No 3 (2014): March

Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial

Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial

Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial

Journals

  1. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  2. Reinwand D, Schulz D, Crutzen R, Kremers S, de Vries H. Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(5):e115 View
  3. Khalil G, Wang H, Calabro K, Mitra N, Shegog R, Prokhorov A. From the Experience of Interactivity and Entertainment to Lower Intention to Smoke: A Randomized Controlled Trial and Path Analysis of a Web-Based Smoking Prevention Program for Adolescents. Journal of Medical Internet Research 2017;19(2):e44 View
  4. Leavens E, Meier E, Tackett A, Miller M, Tahirkheli N, Brett E, Carroll D, Driskill L, Anderson M, Wagener T. The impact of a brief cessation induction intervention for waterpipe tobacco smoking: A pilot randomized clinical trial. Addictive Behaviors 2018;78:94 View
  5. Nahar V, Wilkerson A, Patel F, Kim R, Stephens P, Sharma M. Utilizing Multi-Theory Model in Determining Intentions to Smoking Cessation Among Smokers. Tobacco Use Insights 2019;12:1179173X1984352 View
  6. Cremers H, Mercken L, Candel M, de Vries H, Oenema A. A Web-Based, Computer-Tailored Smoking Prevention Program to Prevent Children From Starting to Smoke After Transferring to Secondary School: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e59 View
  7. Cheung K, Wijnen B, Hiligsmann M, Evers S, de Vries H. Overzicht en kosteneffectiviteit van online rokeninterventies in Nederland. Tijdschrift voor gezondheidswetenschappen 2019;97(3-4):73 View
  8. Cremers H, Mercken L, de Vries H, Oenema A. A longitudinal study on determinants of the intention to start smoking among Non-smoking boys and girls of high and low socioeconomic status. BMC Public Health 2015;15(1) View
  9. Lima-Serrano M, Martínez-Montilla J, Lima-Rodríguez J, Mercken L, de Vries H. Design, implementation and evaluation of a web-based computer-tailored intervention to prevent binge drinking in adolescents: study protocol. BMC Public Health 2018;18(1) View
  10. Nădăşan V, Ferencz L, Ábrám Z, Foley K. Predictors of High Program Exposure Among Adolescents Participating in a Smoking Prevention Intervention in Romania. Tobacco Use Insights 2019;12:1179173X1984533 View
  11. Champion K, Newton N, Teesson M. Prevention of alcohol and other drug use and related harm in the digital age. Current Opinion in Psychiatry 2016;29(4):242 View
  12. Schinke S, Schwinn T. Computer-Based Prevention and Intervention to Reduce Substance Use in Youth. Current Addiction Reports 2017;4(4):410 View
  13. Nădășan V, Foley K, Pénzes M, Paulik E, Mihăicuță Ș, Ábrám Z, Bálint J, Csibi M, Urbán R. The Short-term Effects of ASPIRA: A Web-based, Multimedia Smoking Prevention Program for Adolescents in Romania: A Cluster Randomized Trial. Nicotine & Tobacco Research 2016:ntw308 View
  14. Pradhan A, Park L, Shaya F, Finkelstein J. Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review. Journal of Medical Internet Research 2019;21(1):e11297 View
  15. Bobrow K, Farmer A, Cishe N, Nwagi N, Namane M, Brennan T, Springer D, Tarassenko L, Levitt N. Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control. BMC Health Services Research 2018;18(1) View
  16. Cheung K, Wijnen B, de Vries H. A Review of the Theoretical Basis, Effects, and Cost Effectiveness of Online Smoking Cessation Interventions in the Netherlands: A Mixed-Methods Approach. Journal of Medical Internet Research 2017;19(6):e230 View
  17. Peiris-John R, Dizon L, Sutcliffe K, Kang K, Fleming T. Co-creating a large-scale adolescent health survey integrated with access to digital health interventions. DIGITAL HEALTH 2020;6:205520762094796 View
  18. Latulippe K, Hamel C, Giroux D. Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies. Journal of Medical Internet Research 2017;19(4):e136 View
  19. Leavens E, Carpenter M, Smith T, Nollen N. Exploratory evaluation of online brief education for JUUL pod-mod use and prevention. Addictive Behaviors 2021;119:106942 View
  20. Zijlstra D, Bolman C, Muris J, de Vries H. The Usability of an Online Tool to Promote the Use of Evidence-Based Smoking Cessation Interventions. International Journal of Environmental Research and Public Health 2021;18(20):10836 View
  21. Vishwakarma G, Singh S, Marani S, Arya A, Calabro K, Gupta G, Mehta A, Alexander V. Evaluation and Impact of ASPIRE: An Interactive Tobacco Prevention Curriculum among University Students in India. South Asian Journal of Cancer 2021;10(03):144 View
  22. Angeli M, Hassandra M, Krommidas C, Morres I, Theodorakis Y. Assessing the Impact of a Health Education Anti-Smoking Program for Students: A Follow-Up Investigation. Children 2024;11(4):387 View
  23. Nusawat P, Leelasantitham A. A New Consistent Concept Between the I-change Model and the Transtheoretical Outcome to Imply the Leading Guideline of Depression Behavior Health Change Using Social Media. The Open Public Health Journal 2024;17(1) View
  24. Guan K, Adlung C, Keijsers L, Smit C, Vreeker A, Thalassinou E, van Roekel E, de Reuver M, Figueroa C. Just-in-time adaptive interventions for adolescent and young adult health and well-being: protocol for a systematic review. BMJ Open 2024;14(7):e083870 View