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

mHealth for Wellness, Behavior Change and Prevention (3315) Use and User Demographics of mHealth (402) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) mHealth for Patient Education (292)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36404, first published .
Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial

Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial

Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial

Authors of this article:

Laura Maenhout1, 2 Author Orcid Image ;   Carmen Peuters1, 3 Author Orcid Image ;   Greet Cardon1 Author Orcid Image ;   Geert Crombez3 Author Orcid Image ;   Ann DeSmet4, 5 Author Orcid Image ;   Sofie Compernolle1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Journals

  1. Egilsson E, Bjarnason R, Njardvik U. Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e45414 View
  2. Giovanelli A, Sanchez Karver T, Roundfield K, Woodruff S, Wierzba C, Wolny J, Kaufman M. The Appa Health App for Youth Mental Health: Development and Usability Study. JMIR Formative Research 2023;7:e49998 View
  3. Prior E, Dorstyn D, Taylor A, Rose A. Attrition in Psychological mHealth Interventions for Young People: A Meta-Analysis. Journal of Technology in Behavioral Science 2023;9(4):639 View
  4. Peuters C, Maenhout L, Cardon G, De Paepe A, DeSmet A, Lauwerier E, Leta K, Crombez G. A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation. BMC Public Health 2024;24(1) View
  5. Kötting L, Anand-Kumar V, Keller F, Henschel N, Lippke S. Effective Communication Supported by an App for Pregnant Women: Quantitative Longitudinal Study. JMIR Human Factors 2024;11:e48218 View
  6. Ajja R, Skelton J, Peluso A, Singletary C, Cohen G, Turner-Mcgrievy G, Ip E, Miller D, Moore J. Randomized Clinical Trial to Increase Self-Monitoring of Physical Activity and Eating Behaviors in Youth: A Feasibility Study. Translational Journal of the American College of Sports Medicine 2024;9(4) View
  7. Egan L, Gardner L, Newton N, Champion K. Process evaluation of the digital Health4Life intervention among a sample of disadvantaged adolescents and teachers. Health Promotion International 2024;39(6) View
  8. Fletcher K, Robert-Hendren D. Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study. JMIR Formative Research 2024;8:e57403 View
  9. Guertler D, Möhring A, Bläsing D, Meyer C, Schmidt H, Rehbein F, Neumann M, Dreißigacker A, Bischof A, Bischof G, Sürig S, Hohls L, Wurm S, Borgwardt S, Haug S, Rumpf H. Usage of an App-Based Addiction Prevention Program for German Vocational Students: Secondary Analysis of Data From a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e68754 View
  10. Peuters C, DeSmet A, Maenhout L, Cardon G, Debeer D, Crombez G. Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial. JMIR mHealth and uHealth 2025;13:e59041 View
  11. 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