Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at, first published .
Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review


  1. Máca V, Ščasný M, Zvěřinová I, Jakob M, Hrnčíř J. Incentivizing Commuter Cycling by Financial and Non-Financial Rewards. International Journal of Environmental Research and Public Health 2020;17(17):6033 View
  2. Duplaga M. The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(17):6360 View
  3. Torous J, Jän Myrick K, Rauseo-Ricupero N, Firth J. Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow. JMIR Mental Health 2020;7(3):e18848 View
  4. Weissman R, Bauer S, Thomas J. Access to evidence‐based care for eating disorders during the COVID ‐19 crisis. International Journal of Eating Disorders 2020;53(5):639 View
  5. Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857 View
  6. Kwan R, Lee D, Lee P, Tse M, Cheung D, Thiamwong L, Choi K. Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e16596 View
  7. Meinert E, Rahman E, Potter A, Lawrence W, Van Velthoven M. Acceptability and Usability of the Mobile Digital Health App NoObesity for Families and Health Care Professionals: Protocol for a Feasibility Study. JMIR Research Protocols 2020;9(7):e18068 View
  8. Yamamoto K, Takahashi T, Urasaki M, Nagayasu Y, Shimamoto T, Tateyama Y, Matsuzaki K, Kobayashi D, Kubo S, Mito S, Abe T, Matsuura H, Iwami T. Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study. JMIR mHealth and uHealth 2020;8(7):e19902 View
  9. Milne-Ives M, Lam C, van Velthoven M, Meinert E. Mobile Fitness and Weight Management Apps: Protocol for a Quality Evaluation. JMIR Research Protocols 2020;9(9):e17685 View
  10. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539 View
  11. Howie E, Daniels B, Human A, Gray M, Baum J. Effectiveness and implementation of a virtual versus in-person walking program among employees on physical activity, fitness, and cognition. Health and Technology 2021;11(4):909 View
  12. Hayman M, Alfrey K, Cannon S, Alley S, Rebar A, Williams S, Short C, Altazan A, Comardelle N, Currie S, Denton C, Harrison C, Lamerton T, Mena G, Moran L, Mottola M, Nagpal T, Vincze L, Schoeppe S. Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(4):e23649 View
  13. Marchant G, Bonaiuto F, Bonaiuto M, Guillet Descas E. Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior. Frontiers in Psychology 2021;12 View
  14. Lee J, Woo H. Quality Evaluation of Fine Dust Management Mobile Applications. Journal of Health Informatics and Statistics 2021;46(1):110 View
  15. Kabir M, Rahman S, Islam M, Ahmed S, Laird C. Mobile Apps for Foot Measurement in Pedorthic Practice: Scoping Review. JMIR mHealth and uHealth 2021;9(3):e24202 View
  16. Kosowan L, Katz A, Halas G, Singer A. Patient perspectives on tablet-based technology to collect risk factor information in primary care. BMC Family Practice 2021;22(1) View
  17. Rozga M, Jones K, Robinson J, Yahiro A. Nutrition and physical activity interventions for the general population with and without cardiometabolic risk: a scoping review. Public Health Nutrition 2021:1 View
  18. Milne-Ives M, Swancutt D, Burns L, Pinkney J, Tarrant M, Calitri R, Chatterjee A, Meinert E. The Effectiveness and Usability of Online, Group-Based Interventions for People With Severe Obesity: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(6):e26619 View
  19. Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  20. Napier C, Davies G, Butow P, Schlub T, Best M, Bartley N, Juraskova I, Meiser B, Tucker K, Biesecker B, Thomas D, Ballinger M. Cancer patient knowledge about and behavioral intentions after germline genome sequencing. Patient Education and Counseling 2021 View
  21. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management Application in Early Middle-Aged Koreans: A Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2021 View
  22. Han M, Rhee S. Effect of Adherence to Smartphone App Use on the Long-term Effectiveness of Weight Loss in Developing and OECD Countries: Retrospective Cohort Study. JMIR mHealth and uHealth 2021;9(7):e13496 View
  23. Chen Y, Ji M, Wu Y, Deng Y, Wu F, Lu Y. Individualized mobile health interventions for cardiovascular event prevention in patients with coronary heart disease: study protocol for the iCARE randomized controlled trial. BMC Cardiovascular Disorders 2021;21(1) View
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Books/Policy Documents

  1. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View