Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16217, first published .
Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Journals

  1. Manning V, Piercy H, Garfield J, Lubman D. Personalized Approach Bias Modification Smartphone App (“SWIPE”) to Reduce Alcohol Use Among People Drinking at Hazardous or Harmful Levels: Protocol for an Open-Label Feasibility Study. JMIR Research Protocols 2020;9(8):e21278 View
  2. Ouimet A, Dixon-Luinenburg T, Rooyakkers M. Experimental Psychopathology at the Crossroads: Reflections on Past, Present, and Future Contributions to Cognitive Behavioural Therapy. International Journal of Cognitive Therapy 2021;14(1):133 View
  3. Manning V, Piercy H, Garfield J, Clark S, Andrabi M, Lubman D. A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study. JMIR mHealth and uHealth 2021;9(12):e31353 View
  4. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  5. Kip H, Bouman Y. A Perspective on the Integration of eHealth in Treatment of Offenders: Combining Technology and the Risk-Need-Responsivity Model. Frontiers in Psychiatry 2021;12 View
  6. Caponnetto P, Casu M. Update on Cyber Health Psychology: Virtual Reality and Mobile Health Tools in Psychotherapy, Clinical Rehabilitation, and Addiction Treatment. International Journal of Environmental Research and Public Health 2022;19(6):3516 View
  7. Manning V, Whelan D, Piercy H. The current evidence for substance use disorder apps. Current Opinion in Psychiatry 2022;35(4):237 View
  8. Manning V, Garfield J, Reynolds J, Staiger P, Piercy H, Bonomo Y, Lloyd‐Jones M, Jacka D, Wiers R, Verdejo‐Garcia A, Lubman D. Alcohol use in the year following approach bias modification during inpatient withdrawal: secondary outcomes from a double‐blind, multi‐site randomized controlled trial. Addiction 2022;117(11):2837 View
  9. Geerts J, Pieterse M, Laverman G, Waanders F, Oosterom N, Slegten J, Salemink E, Bode C. Cognitive Bias Modification Training Targeting Fatigue in Patients With Kidney Disease: Usability Study. JMIR Formative Research 2023;7:e43636 View
  10. Walter S, Stephan A. Situated Affectivity and Mind Shaping: Lessons from Social Psychology. Emotion Review 2023;15(1):3 View
  11. Colombo M. Computational Modelling for Alcohol Use Disorder. Erkenntnis 2024;89(1):271 View
  12. Bolt G, Piercy H, Barnett A, Manning V. ‘A circuit breaker’ – Interrupting the alcohol autopilot: A qualitative exploration of participants’ experiences of a personalised mHealth approach bias modification intervention for alcohol use. Addictive Behaviors Reports 2022;16:100471 View
  13. Prior K, Salemink E, Piggott M, Manning V, Wiers R, Teachman B, Teesson M, Baillie A, Mahoney A, McLellan L, Newton N, Stapinski L. Web-Based Cognitive Bias Modification Program for Young People With Social Anxiety and Hazardous Alcohol Use: Feasibility, Acceptability, and Preliminary Efficacy Study. JMIR Formative Research 2023;7:e46008 View

Books/Policy Documents

  1. Manning V, Bolt G. Handbook of Substance Misuse and Addictions. View
  2. Manning V, Bolt G. Handbook of Substance Misuse and Addictions. View