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

mHealth for Wellness, Behavior Change and Prevention (2754) Alcohol Abuse, Alcoholism Prevention and Recovery (286)

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 Perski1 Author Orcid Image ;   Felix Naughton2 Author Orcid Image ;   Claire Garnett1 Author Orcid Image ;   Ann Blandford3 Author Orcid Image ;   Emma Beard1 Author Orcid Image ;   Robert West1 Author Orcid Image ;   Susan Michie4 Author Orcid Image
Article Authors Cited by (11) Tweetations (38) 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 Behavior Change App: Results From a Micro-Randomized Trial. JMIR mHealth and uHealth 2023;11:e38342 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 Randomized Controlled Trials Piloting the Precious App. JMIR Formative Research 2023;7:e34232 View
  9. Samuel J, Wootton S, Tyson J. N-of-1 trials: The epitome of personalized medicine?. Journal of Clinical and Translational Science 2023;7(1) View
  10. Liu X, Qian T, Bell L, Chakraborty B. Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes. Biometrics 2024;80(2) View
  11. Garnett C, Dinu L, Oldham M, Perski O, Loebenberg G, Beard E, Angus C, Burton R, Field M, Greaves F, Hickman M, Kaner E, Michie S, Munafò M, Pizzo E, Brown J. Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?. npj Digital Medicine 2024;7(1) View