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

mHealth for Wellness, Behavior Change and Prevention (2451) Alcohol Abuse, Alcoholism Prevention and Recovery (259)

Published on in Vol 7 , No 10 (2019) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14098, first published .
Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

Authors of this article:

Olga Perski 1 Author Orcid Image ;   Felix Naughton 2 Author Orcid Image ;   Claire Garnett 1 Author Orcid Image ;   Ann Blandford 3 Author Orcid Image ;   Emma Beard 1 Author Orcid Image ;   Robert West 1 Author Orcid Image ;   Susan Michie 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (43) Metrics

Journals

  1. Bell L, Garnett C, Qian T, Perski O, Potts H, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial. JMIR Research Protocols 2020;9(8):e18690 View
  2. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  3. Goldstein S, Brick L, Thomas J, Forman E. Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention. Translational Behavioral Medicine 2021;11(4):993 View
  4. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study. JMIR mHealth and uHealth 2021;9(4):e27173 View
  5. 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
  6. 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
  7. Bell L, Garnett C, Bao Y, Cheng Z, Qian T, Perski O, Potts H, Williamson E. How Notifications affect Engagement with a Behaviour Change App: Results from a Micro-Randomised Trial. (Preprint). JMIR mHealth and uHealth 2022 View
  8. Nurmi J, Knittle K, Naughton F, Sutton S, Ginchev T, Khattak F, Castellano-Tejedor C, Lusilla-Palacios P, Ravaja N, Haukkala A. Biofeedback and digitalized motivational interviewing to increase daily physical activity: Series of factorial N-of-1 RCTs piloting the Precious app (Preprint). JMIR Formative Research 2021 View