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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (488) Innovations and Technology for Physical Activity Education (740) Web-based and Mobile Health Interventions (3287)

Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11394, first published .
Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial

Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial

Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial

Authors of this article:

Jennifer M Murray1 Author Orcid Image ;   David P French2 Author Orcid Image ;   Christopher C Patterson1 Author Orcid Image ;   Frank Kee1 Author Orcid Image ;   Aisling Gough1 Author Orcid Image ;   Jianjun Tang3 Author Orcid Image ;   Ruth F Hunter1 Author Orcid Image
Article Authors Cited by (14) Tweetations (10) Metrics

Journals

  1. Edney S, Ryan J, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(11):e14645 View
  2. Pham Q, Shaw J, Morita P, Seto E, Stinson J, Cafazzo J. The Service of Research Analytics to Optimize Digital Health Evidence Generation: Multilevel Case Study. Journal of Medical Internet Research 2019;21(11):e14849 View
  3. Malinowska D, Tokarz A. The moderating role of Self Determination Theory's general causality orientations in the relationship between the job resources and work engagement of outsourcing sector employees. Personality and Individual Differences 2020;153:109638 View
  4. Hunter R, Gough A, Murray J, Tang J, Brennan S, Chrzanowski-Smith O, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully M, French D, Adams J, McIntosh E, Xin Y, Kee F. A loyalty scheme to encourage physical activity in office workers: a cluster RCT. Public Health Research 2019;7(15):1 View
  5. Gillies K, Kearney A, Keenan C, Treweek S, Hudson J, Brueton V, Conway T, Hunter A, Murphy L, Carr P, Rait G, Manson P, Aceves-Martins M. Strategies to improve retention in randomised trials. Cochrane Database of Systematic Reviews 2021;2021(4) View
  6. Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jimenez M, Birchwood M, Briggs A, Bucci S, Cotton S, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, McLeod H, McMeekin N, Mihalopoulos C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh S, Sundram S, Thompson A, Williams C, Yung A, Aucott L, Farhall J, Gleeson J. Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT. Health Technology Assessment 2022;26(27):1 View
  7. Shiyab W, Halcomb E, Rolls K, Ferguson C. The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review. Journal of Medical Internet Research 2023;25:e38429 View
  8. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  9. O’Kane N, McKinley M, Gough A, Hunter R. Investigating the feasibility and acceptability of using Instagram to engage post-graduate students in a mass communication social media-based health intervention, #WeeStepsToHealth. Pilot and Feasibility Studies 2022;8(1) View
  10. Bijkerk L, Oenema A, Geschwind N, Spigt M. Measuring Engagement with Mental Health and Behavior Change Interventions: an Integrative Review of Methods and Instruments. International Journal of Behavioral Medicine 2023;30(2):155 View
  11. Idris M, Mubasher M, Alema-Mensah E, Awad C, Vordzorgbe K, Ofili E, Ali Quyyumi A, Pemu P, Mordaunt D. The law of non-usage attrition in a technology-based behavioral intervention for black adults with poor cardiovascular health. PLOS Digital Health 2022;1(10):e0000119 View
  12. Thomson L, Keshavarz M, Sénéchal M, Bouchard D. Online exercise program for men living with obesity: Experiences, barriers, and enablers. Contemporary Clinical Trials Communications 2023;36:101226 View
  13. Moffit R, McTigue K, Conroy M, Kriska A, Fischer G, Ricci E, Dunstan D, Deperrior S, Rao N, Burke L, Rockette-Wagner B. Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement. American Journal of Health Promotion 2023;37(8):1100 View
  14. Bijkerk L, Spigt M, Oenema A, Geschwind N. Engagement with mental health and health behavior change interventions: An integrative review of key concepts. Journal of Contextual Behavioral Science 2024;32:100748 View