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Published on 27.04.16 in Vol 4, No 2 (2016): Apr-Jun

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

Works citing "Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4461):

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

  1. Keefer L. Behavioural medicine and gastrointestinal disorders: the promise of positive psychology. Nature Reviews Gastroenterology & Hepatology 2018;15(6):378
    CrossRef
  2. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: A Focus Group Study of Tracker Perceptions, Motivators, And Barriers in Different Stages of Behavior Change (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  3. 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
  4. Rupp MA, Michaelis JR, McConnell DS, Smither JA. The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact. Applied Ergonomics 2018;70:77
    CrossRef
  5. Kanstrup AM, Bertelsen P, Jensen MB. Contradictions in digital health engagement: An activity tracker’s ambiguous influence on vulnerable young adults’ engagement in own health. DIGITAL HEALTH 2018;4:205520761877519
    CrossRef
  6. Wong-Parodi G, Dias MB, Taylor M. Effect of Using an Indoor Air Quality Sensor on Perceptions of and Behaviors Toward Air Pollution (Pittsburgh Empowerment Library Study): Online Survey and Interviews. JMIR mHealth and uHealth 2018;6(3):e48
    CrossRef
  7. Rozanski GM, Aqui A, Sivakumaran S, Mansfield A. Consumer Wearable Devices for Activity Monitoring Among Individuals After a Stroke: A Prospective Comparison. JMIR Cardio 2018;2(1):e1
    CrossRef
  8. Hartman SJ, Nelson SH, Weiner LS. Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(2):e29
    CrossRef
  9. Lamont RM, Daniel HL, Payne CL, Brauer SG. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait & Posture 2018;63:104
    CrossRef
  10. Ellis DA, Piwek L. Failing to encourage physical activity with wearable technology: what next?. Journal of the Royal Society of Medicine 2018;111(9):310
    CrossRef
  11. 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
  12. Kloek CJJ, Bossen D, Spreeuwenberg PM, Dekker J, de Bakker DH, Veenhof C. Effectiveness of a Blended Physical Therapist Intervention in People With Hip Osteoarthritis, Knee Osteoarthritis, or Both: A Cluster-Randomized Controlled Trial. Physical Therapy 2018;98(7):560
    CrossRef
  13. Feehan LM, Geldman J, Sayre EC, Park C, Ezzat AM, Yoo JY, Hamilton CB, Li LC. Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data. JMIR mHealth and uHealth 2018;6(8):e10527
    CrossRef
  14. Kressler J, Koeplin-Day J, Muendle B, Rosby B, Santo E, Domingo A, Jan Y. Accuracy and precision of consumer-level activity monitors for stroke detection during wheelchair propulsion and arm ergometry. PLOS ONE 2018;13(2):e0191556
    CrossRef
  15. Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-Engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106
    CrossRef
  16. Yu K, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nature Biomedical Engineering 2018;2(10):719
    CrossRef
  17. Jonkman NH, van Schooten KS, Maier AB, Pijnappels M. eHealth interventions to promote objectively measured physical activity in community-dwelling older people. Maturitas 2018;113:32
    CrossRef
  18. 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
  19. Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, Grimsgaard S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. Journal of Medical Internet Research 2018;20(3):e110
    CrossRef
  20. Macridis S, Johnston N, Johnson S, Vallance JK, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298
    CrossRef
  21. Chen Y, Yang L, Zhang M, Yang J. Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics 2018;116:33
    CrossRef
  22. Yingling LR, Mitchell V, Ayers CR, Peters-Lawrence M, Wallen GR, Brooks AT, Troendle JF, Adu-Brimpong J, Thomas S, Henry J, Saygbe JN, Sampson DM, Johnson AA, Graham AP, Graham LA, Wiley KL, Powell-Wiley T. Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment. Translational Behavioral Medicine 2017;7(4):719
    CrossRef
  23. Espinoza J, Chen A, Orozco J, Deavenport-Saman A, Yin L. Effect of personal activity trackers on weight loss in families enrolled in a comprehensive behavioral family-lifestyle intervention program in the federally qualified health center setting: A randomized controlled trial. Contemporary Clinical Trials Communications 2017;7:86
    CrossRef
  24. Cadmus-Bertram L. Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know. The Journal for Nurse Practitioners 2017;13(1):34
    CrossRef
  25. Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4
    CrossRef
  26. Feng Y, Li K, Agosto DE. Healthy users' personal health information management from activity trackers: The perspective of gym-goers. Proceedings of the Association for Information Science and Technology 2017;54(1):71
    CrossRef
  27. Wen D, Zhang X, Liu X, Lei J. Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions. Journal of Medical Internet Research 2017;19(3):e68
    CrossRef
  28. Tinschert P, Jakob R, Barata F, Kramer J, Kowatsch T. The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps. JMIR mHealth and uHealth 2017;5(8):e113
    CrossRef
  29. Nation-Grainger S. ‘It’s just PE’ till ‘It felt like a computer game’: using technology to improve motivation in physical education. Research Papers in Education 2017;32(4):463
    CrossRef
  30. Shingler E, Hackshaw-McGeagh L, Robles L, Persad R, Koupparis A, Rowe E, Shiridzinomwa C, Bahl A, Martin RM, Lane JA. The feasibility of the Prostate cancer: Evidence of Exercise and Nutrition Trial (PrEvENT) dietary and physical activity modifications: a qualitative study. Trials 2017;18(1)
    CrossRef
  31. Gruwez A, Libert W, Ameye L, Bruyneel M. Reliability of commercially available sleep and activity trackers with manual switch-to-sleep mode activation in free-living healthy individuals. International Journal of Medical Informatics 2017;102:87
    CrossRef
  32. Wright SP, Hall Brown TS, Collier SR, Sandberg K. How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 2017;312(3):R358
    CrossRef
  33. Duncan M, Murawski B, Short CE, Rebar AL, Schoeppe S, Alley S, Vandelanotte C, Kirwan M. Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors. Interactive Journal of Medical Research 2017;6(2):e13
    CrossRef
  34. Abedtash H, Holden RJ. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002
    CrossRef
  35. Wieringa FP, Broers NJH, Kooman JP, Van Der Sande FM, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505
    CrossRef
  36. Fagherazzi G, El Fatouhi D, Bellicha A, El Gareh A, Affret A, Dow C, Delrieu L, Vegreville M, Normand A, Oppert J, Severi G. An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices. Journal of Medical Internet Research 2017;19(10):e363
    CrossRef
  37. Koo SH. Consumer Differences in the United States and India on Wearable Trackers. Family and Consumer Sciences Research Journal 2017;46(1):40
    CrossRef
  38. Monroe CM. Valuable steps ahead: promoting physical activity with wearables and incentives. The Lancet Diabetes & Endocrinology 2016;4(12):960
    CrossRef
  39. Hartz J, Yingling L, Powell-Wiley TM. Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Current Cardiology Reports 2016;18(12)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4461)

:
  1. Lemos A, Bitencourt E. The Internet and Health in Brazil. 2019. Chapter 21:415
    CrossRef
  2. Kuru H. Current and Emerging mHealth Technologies. 2018. Chapter 3:23
    CrossRef
  3. Caraban A, Karapanos E, Teixeira V, Munson SA, Campos P. Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors. 2017. Chapter 13:163
    CrossRef