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Published on 12.11.15 in Vol 3, No 4 (2015): Oct-Dec

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

Works citing "Dutch Young Adults Ratings of Behavior Change Techniques Applied in Mobile Phone Apps to Promote Physical Activity: A Cross-Sectional Survey"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4383):

(note that this is only a small subset of citations)

  1. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44
    CrossRef
  2. Huang G, Zhou E. Time to Work Out! Examining the Behavior Change Techniques and Relevant Theoretical Mechanisms that Predict the Popularity of Fitness Mobile Apps with Chinese-Language User Interfaces. Health Communication 2018;:1
    CrossRef
  3. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2018;
    CrossRef
  4. de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167
    CrossRef
  5. Wichmann F, Sill J, Hassenstein MJ, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität. Prävention und Gesundheitsförderung 2018;
    CrossRef
  6. Dallinga J, Janssen M, van der Werf J, Walravens R, Vos S, Deutekom M. Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach. JMIR mHealth and uHealth 2018;6(6):e143
    CrossRef
  7. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277
    CrossRef
  8. Ramirez M, Wu S, Beale E. Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014–2015. Preventing Chronic Disease 2016;13
    CrossRef
  9. Anderson K, Burford O, Emmerton L. App Chronic Disease Checklist: Protocol to Evaluate Mobile Apps for Chronic Disease Self-Management. JMIR Research Protocols 2016;5(4):e204
    CrossRef
  10. Fu Y, Wu W. Predicting household water use behaviour for improved hygiene practices in internet of things environment via dynamic behaviour intervention model. IET Networks 2016;5(5):143
    CrossRef
  11. Middelweerd A, te Velde SJ, Mollee JS, Klein MC, Brug J. Development of Active2Gether: an app-based intervention combining evidence-based behavior change techniques with a model-based reasoning system to promote physical activity among young adults (Preprint). JMIR Research Protocols 2016;
    CrossRef