Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30583, first published .
Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants

Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants

Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants

Journals

  1. Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404 View
  2. Kari T, Makkonen M, Carlsson C. Physical Activity Tracker Application in Promoting Physical Activity Behavior among Older Adults: A 24-month Follow-Up Study. Journal of Aging and Health 2023;35(7-8):466 View
  3. Schroé H, Carlier S, Van Dyck D, De Backere F, Crombez G. Towards more personalized digital health interventions: a clustering method of action and coping plans to promote physical activity. BMC Public Health 2022;22(1) View
  4. Vetrovsky T, Kral N, Pfeiferova M, Kuhnova J, Novak J, Wahlich C, Jaklova A, Jurkova K, Janek M, Omcirk D, Capek V, Maes I, Steffl M, Ussher M, Tufano J, Elavsky S, Van Dyck D, Cimler R, Yates T, Harris T, Seifert B. mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial. BMC Public Health 2023;23(1) View
  5. Rhodes A, Pimprikar A, Baum A, Smith A, Llewellyn C. Using the Person-Based Approach to Develop a Digital Intervention Targeting Diet and Physical Activity in Pregnancy: Development Study. JMIR Formative Research 2023;7:e44082 View
  6. Fletcher R, Regan C, Dizon J, Leigh L. Understanding Attrition in Text-Based Health Promotion for Fathers: Survival Analysis. JMIR Formative Research 2023;7:e44924 View
  7. Mortimer P, Pearson M, Gawrysiak P, Riches K, Keeley V, Tew K, Cranwell E. LymphActiv: A Digital Physical Activity Behavior Intervention for the Treatment of Lymphedema and Lipedema. Lymphatic Research and Biology 2024 View
  8. Novak J, Jurkova K, Lojkaskova A, Jaklova A, Kuhnova J, Pfeiferova M, Kral N, Janek M, Omcirk D, Malisova K, Maes I, Dyck D, Wahlich C, Ussher M, Elavsky S, Cimler R, Pelclova J, Tufano J, Steffl M, Seifert B, Yates T, Harris T, Vetrovsky T. Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). BMC Public Health 2024;24(1) View
  9. Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe A. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024;12:e17100 View
  10. Kim J, Youm H, Kim S, Choi H, Kim D, Shin S, Chung J. Exploring the Influence of YouTube on Digital Health Literacy and Health Exercise Intentions: The Role of Parasocial Relationships. Behavioral Sciences 2024;14(4):282 View
  11. Åsberg K, Eldh A, Löf M, Bendtsen M. “Simply complicated”: Uncovering the processes of lifestyle behavior change among college and university students with access to a digital multiple lifestyle intervention. DIGITAL HEALTH 2024;10 View
  12. 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
  13. Baee S, Eberle J, Baglione A, Spears T, Lewis E, Behan H, Wang H, Funk D, Teachman B, E Barnes L. Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: Machine Learning Study (Preprint). JMIR Mental Health 2023 View
  14. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024 View
  15. Yan Y, López-Alcalde J, Stallings E, Jimenez Tejero E, Witt C, Barth J, Demsash A. Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials. PLOS ONE 2024;19(7):e0306772 View
  16. Park S, Ballreich J, Ward T, Shi L. Cost‐effectiveness analysis of a digital diabetes‐prevention programme versus an in‐person diabetes‐prevention programme in people with prediabetes in the United States. Diabetes, Obesity and Metabolism 2024;26(10):4522 View
  17. Wang W, Ruan H, Shen Y, Cheng J, Sun W, Huang C. Effectiveness of utilizing step-monitoring devices to prevent and treat obesity in children and adolescents: A systematic review and meta-analysis. DIGITAL HEALTH 2024;10 View
  18. Mackey C, Sibik G, Szydlowski V, Blayney J, Lee C, Larimer M, Hultgren B. Discovering what young adults want in electronic interventions aimed at reducing alcohol‐related consequences. Alcohol, Clinical and Experimental Research 2024;48(11):2145 View

Books/Policy Documents

  1. Hyypiö H, Giri S, Oinas-Kukkonen H. Persuasive Technology. View