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

mHealth for Treatment Adherence (467) mHealth for Wellness, Behavior Change and Prevention (3315) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Use and User Demographics of mHealth (402)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45414, first published .
Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial

Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial

Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial

Authors of this article:

Erlendur Egilsson1 Author Orcid Image ;   Ragnar Bjarnason2, 3 Author Orcid Image ;   Urdur Njardvik1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

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  1. Zhou X, Bambling M, Bai X, Smith A, Edirippulige S. Exploring factors affecting Chinese adolescents’ perceived usefulness and engagement with a stress management app: a qualitative study. Frontiers in Psychology 2023;14 View
  2. Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2024;26(S1):S-90 View
  3. Glista D, O'Hagan R, Servais M, Jalilian N. Adolescent-Centered mHealth Applications in a Collaborative Care Model: A Virtual Focus Group Study With Audiologists. Journal of Speech, Language, and Hearing Research 2024;67(8):2794 View
  4. Maes I, Carlier S, Latomme J, De Backere F, Cardon G, Van Dyck D, Collins T. Unveiling Digital Pathways to Active Aging: An Exploratory Mixed Methods Study of Older Adults’ Experiences and the Impact of Person‐Level Factors on mHealth Intervention Engagement. Health & Social Care in the Community 2024;2024(1) View
  5. Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
  6. Khor C, Hong M. Health Literacy in Mobile Health Applications: A Choice Modeling Study. Journal of Consumer Health on the Internet 2025;29(2):208 View
  7. Baumann H, Singh B, Staiano A, Gough C, Ahmed M, Fiedler J, Timm I, Wunsch K, Button A, Yin Z, Vasiloglou M, Sivakumar B, Petersen J, Dallinga J, Huong C, Schoeppe S, Kracht C, Spring K, Maher C, Vandelanotte C. Effectiveness of mHealth interventions targeting physical activity, sedentary behaviour, sleep or nutrition on emotional, behavioural and eating disorders in adolescents: a systematic review and meta-analysis. Frontiers in Digital Health 2025;7 View
  8. Sánchez-Raya J, Salat-Batlle J, Castilla D, Zaragozá I, García-Palacios A, Suso-Ribera C. Utilizing Mobile Health Technology to Enhance Brace Compliance: Feasibility and Effectiveness of an App-Based Monitoring System for Adolescents with Idiopathic Scoliosis. Journal of Personalized Medicine 2025;15(9):405 View