Published on in Vol 5, No 8 (2017): August

How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms

How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms

How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms

Journals

  1. Cushing C, Fedele D, Brannon E, Kichline T. Parents’ Perspectives on the Theoretical Domains Framework Elements Needed in a Pediatric Health Behavior App: A Crowdsourced Social Validity Study. JMIR mHealth and uHealth 2018;6(12):e192 View
  2. Chang W, Lo S, Kuo C, Wang Y, Hsiao H, Denis F. Development of an intervention tool for precision oral self-care: Personalized and evidence-based practice for patients with periodontal disease. PLOS ONE 2019;14(11):e0225453 View
  3. Chiu W, Cho H. The role of technology readiness in individuals' intention to use health and fitness applications: a comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics 2020;33(3):807 View
  4. Gür F, Gür G, Ayan V. The Effect of the ERVE Smartphone App on Physical Activity, Quality of Life, Self-Efficacy, and Exercise Motivation for Inactive People: A Randomized Controlled Trial. European Journal of Integrative Medicine 2020;39:101198 View
  5. Kebede M, Steenbock B, Helmer S, Sill J, Möllers T, Pischke C. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314 View
  6. Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81 View
  7. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836 View
  8. Davis A, Ellis R. A quasi-experimental investigation of college students’ ratings of two physical activity mobile apps with varied behavior change technique quantity. DIGITAL HEALTH 2019;5 View
  9. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  10. Ernsting C, Stühmann L, Dombrowski S, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179 View
  11. Lindqvist A, Rutberg S, Söderström E, Ek A, Alexandrou C, Maddison R, Löf M. User Perception of a Smartphone App to Promote Physical Activity Through Active Transportation: Inductive Qualitative Content Analysis Within the Smart City Active Mobile Phone Intervention (SCAMPI) Study. JMIR mHealth and uHealth 2020;8(8):e19380 View
  12. Akdur G, Aydin M, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911 View
  13. Laine T, Normark J, Lindvall H, Lindqvist A, Rutberg S. A Distributed Multiplayer Game to Promote Active Transport at Workplaces: User-Centered Design, Implementation, and Lessons Learned. IEEE Transactions on Games 2020;12(4):386 View
  14. 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
  15. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180 View
  16. Wilaiwan W, Siriwong W. Effectiveness of the Healthy e-Elderly People Intervention (HEPI) mobile application for the reduction of physical health effects caused by smartphone usage among elderly individuals in Thailand. Journal of Health Research 2021;35(6):553 View
  17. Chang W, Wang Y, Chang Y, Lo S. Effectiveness of an App-Based Mobile Intervention for Precision Oral Self-Care in Patients with Periodontitis from Initial Therapy to Re-Evaluation. Applied Sciences 2021;11(9):4229 View
  18. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  19. Mao C, Bayer J, Ross M, Rhee L, Le H, Mount J, Chang H, Chang Y, Hedstrom A, Hovick S. Perceived vs. observed mHealth behavior: A naturalistic investigation of tracking apps and daily movement. Mobile Media & Communication 2023;11(3):526 View
  20. Lorenzi L, Belo L, Frohlich D, Dourado V, Castro P, Gomes G. Factors related to the adoption and adherence of physical activity mobile applications by older people: a scoping review protocol. BMJ Open 2021;11(10):e052414 View
  21. AlSwayied G, Guo H, Rookes T, Frost R, Hamilton F. Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature. JMIR mHealth and uHealth 2022;10(12):e40271 View
  22. Nwolise C, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446 View

Books/Policy Documents

  1. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View