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Published on 09.02.16 in Vol 18, No 2 (2016): February

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

Works citing "Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5295):

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

  1. Rice L, Sara R. Updating the determinants of health model in the Information Age. Health Promotion International 2018;
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  2. Forman EM, Kerrigan SG, Butryn ML, Juarascio AS, Manasse SM, Ontañón S, Dallal DH, Crochiere RJ, Moskow D. Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?. Journal of Behavioral Medicine 2018;
    CrossRef
  3. Shrestha N, Kukkonen-Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews 2018;
    CrossRef
  4. Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
    CrossRef
  5. Brakenridge CL, Healy GN, Winkler EA, Fjeldsoe BS. What Do Workers Do to Reduce Their Sitting Time? The Relationships of Strategy Use and Workplace Support With Desk-Based Workers’ Behavior Changes in a Workplace-Delivered Sitting-Reduction and Activity-Promoting Intervention. Journal of Occupational and Environmental Medicine 2018;60(11):1026
    CrossRef
  6. Strutz E, Browning R, Smith S, Lohse B, Cunningham-Sabo L. Accelerometry-Derived Physical Activity Correlations Between Parents and Their Fourth-Grade Child Are Specific to Time of Day and Activity Level. Journal of Physical Activity and Health 2018;15(6):440
    CrossRef
  7. Brakenridge CL, Healy GN, Winkler EA, Fjeldsoe BS. Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation. Interactive Journal of Medical Research 2018;7(1):e5
    CrossRef
  8. Shin G, Feng Y, Jarrahi MH, Gafinowitz N. Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use. JAMIA Open 2018;
    CrossRef
  9. Phatak SS, Freigoun MT, Martín CA, Rivera DE, Korinek EV, Adams MA, Buman MP, Klasnja P, Hekler EB. Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. Journal of Biomedical Informatics 2018;79:82
    CrossRef
  10. Dijkhuis TB, Blaauw FJ, van Ittersum MW, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623
    CrossRef
  11. Korinek EV, Phatak SS, Martin CA, Freigoun MT, Rivera DE, Adams MA, Klasnja P, Buman MP, Hekler EB. Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. Journal of Behavioral Medicine 2018;41(1):74
    CrossRef
  12. Xie J, Wen D, Liang L, Jia Y, Gao L, Lei J. Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study. JMIR mHealth and uHealth 2018;6(4):e94
    CrossRef
  13. Wu HS, Gal R, van Sleeuwen NC, Brombacher AC, IJsselsteijn WA, May AM, Monninkhof EM. Evaluation of experience with the Jawbone UP2 activity tracker in an exercise program after breast cancer treatment (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  14. Ehn M, Eriksson LC, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34
    CrossRef
  15. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
    CrossRef
  16. Rasche P, Schlomann A, Mertens A. Who Is Still Playing Pokémon Go? A Web-Based Survey. JMIR Serious Games 2017;5(2):e7
    CrossRef
  17. Bender MS, Cooper BA, Park LG, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30
    CrossRef
  18. Kouwenhoven-Pasmooij TA, Robroek SJ, Ling SW, van Rosmalen J, van Rossum EF, Burdorf A, Hunink MM. A Blended Web-Based Gaming Intervention on Changes in Physical Activity for Overweight and Obese Employees: Influence and Usage in an Experimental Pilot Study. JMIR Serious Games 2017;5(2):e6
    CrossRef
  19. Adams MA, Hurley JC, Todd M, Bhuiyan N, Jarrett CL, Tucker WJ, Hollingshead KE, Angadi SS. Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults’ physical activity. BMC Public Health 2017;17(1)
    CrossRef
  20. Seifert A, Schlomann A, Rietz C, Schelling HR. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008
    CrossRef
  21. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64
    CrossRef
  22. Witteman HO, Presseau J, Nicholas Angl E, Jokhio I, Schwalm J, Grimshaw JM, Bosiak B, Natarajan MK, Ivers NM. Negotiating Tensions Between Theory and Design in the Development of Mailings for People Recovering From Acute Coronary Syndrome. JMIR Human Factors 2017;4(1):e6
    CrossRef
  23. Van Dijk MR, Koster MP, Rosman AN, Steegers-Theunissen RP. Opportunities of mHealth in Preconception Care: Preferences and Experiences of Patients and Health Care Providers and Other Involved Professionals. JMIR mHealth and uHealth 2017;5(8):e123
    CrossRef
  24. 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
  25. Brakenridge CL, Fjeldsoe BS, Young DC, Winkler EAH, Dunstan DW, Straker LM, Healy GN. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  26. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125
    CrossRef
  27. Kunkle S, Christie G, Hajat C, Yach D. The Role of the Private Sector in Tilting Health Systems Toward Chronic Disease Prevention. Global Heart 2016;11(4):451
    CrossRef
  28. Agboola S, Jethwani K, Lopez L, Searl M, O’Keefe S, Kvedar J. Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2016;18(11):e307
    CrossRef
  29. Eijsvogels TM, George KP, Thompson PD. Cardiovascular benefits and risks across the physical activity continuum. Current Opinion in Cardiology 2016;31(5):566
    CrossRef
  30. Jones D, Skrepnik N, Toselli RM, Leroy B. Incorporating Novel Mobile Health Technologies Into Management of Knee Osteoarthritis in Patients Treated With Intra-Articular Hyaluronic Acid: Rationale and Protocol of a Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e164
    CrossRef