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Citing this Article

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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. Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425
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  2. McFadden C, Li Q. Motivational Readiness to Change Exercise Behaviors: An Analysis of the Differences in Exercise, Wearable Exercise Tracking Technology, and Exercise Frequency, Intensity, and Time (FIT) Values and BMI Scores in University Students. American Journal of Health Education 2019;50(2):67
    CrossRef
  3. Leonidas C, Nazar BP, Munguía L, Santos MA. How do we target the factors that maintain anorexia nervosa? A behaviour change taxonomical analysis. International Review of Psychiatry 2019;31(4):403
    CrossRef
  4. Feng Y, Agosto DE. From health to performance. Aslib Journal of Information Management 2019;71(2):217
    CrossRef
  5. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth 2019;7(4):e9832
    CrossRef
  6. Hotwani K, Sharma K, Nagpal D, Lamba G, Chaudhari P. Smartphones and tooth brushing: content analysis of the current available mobile health apps for motivation and training. European Archives of Paediatric Dentistry 2019;
    CrossRef
  7. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O’Flynn B, Najafi B. Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults. PLOS ONE 2019;14(5):e0216891
    CrossRef
  8. Endicott KM, Hynes CF, Amdur R, Macsata R. A modified activity protocol for claudication. The Journal of Cardiovascular Surgery 2019;60(3)
    CrossRef
  9. Ehn M, Johansson A, Revenäs . Technology-Based Motivation Support for Seniors’ Physical Activity—A Qualitative Study on Seniors’ and Health Care Professionals’ Views. International Journal of Environmental Research and Public Health 2019;16(13):2418
    CrossRef
  10. Breteler MJ, Janssen JH, Spiering W, Kalkman CJ, van Solinge WW, Dohmen DA. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489
    CrossRef
  11. Buckingham SA, Williams AJ, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988
    CrossRef
  12. Shin G, Jarrahi MH, Fei Y, Karami A, Gafinowitz N, Byun A, Lu X. Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics 2019;93:103153
    CrossRef
  13. Wu J, Ho T, Chang Y, Hsu C, Tsai CJ, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989
    CrossRef
  14. Davergne T, Pallot A, Dechartres A, Fautrel B, Gossec L. Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta‐Analysis. Arthritis Care & Research 2019;71(6):758
    CrossRef
  15. Ryan J, Edney S, Maher C. Anxious or empowered? A cross-sectional study exploring how wearable activity trackers make their owners feel. BMC Psychology 2019;7(1)
    CrossRef
  16. Olsen SH, Saperstein SL, Gold RS. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  17. Lee S, Ha Y, Jung M, Yang S, Kang W. The Effects of a Mobile Wellness Intervention with Fitbit Use and Goal Setting for Workers. Telemedicine and e-Health 2019;
    CrossRef
  18. Chia GLC, Anderson A, McLean LA. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768
    CrossRef
  19. 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
  20. 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
  21. Centi AJ, Atif M, Golas SB, Mohammadi R, Kamarthi S, Agboola S, Jethwani K, Kvedar JC. Factors Influencing Exercise Engagement When Using Activity Trackers (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  22. 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
  23. Yu K, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nature Biomedical Engineering 2018;2(10):719
    CrossRef
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. Keefer L. Behavioural medicine and gastrointestinal disorders: the promise of positive psychology. Nature Reviews Gastroenterology & Hepatology 2018;15(6):378
    CrossRef
  37. 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
  38. Degroote L, De Bourdeaudhuij I, Verloigne M, Poppe L, Crombez G. The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study. JMIR mHealth and uHealth 2018;6(12):e10972
    CrossRef
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. Koo SH. Consumer Differences in the United States and India on Wearable Trackers. Family and Consumer Sciences Research Journal 2017;46(1):40
    CrossRef
  56. 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
  57. Monroe CM. Valuable steps ahead: promoting physical activity with wearables and incentives. The Lancet Diabetes & Endocrinology 2016;4(12):960
    CrossRef
  58. 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. El-Gayar OF, Ambati LS, Nawar N. AI and Big Data’s Potential for Disruptive Innovation. 2020. chapter 5:104
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  2. Petsani D, Kostantinidis EI, Diaz-Orueta U, Hopper L, Bamidis PD. Information and Communication Technologies for Ageing Well and e-Health. 2019. Chapter 6:108
    CrossRef
  3. Lemos A, Bitencourt E. The Internet and Health in Brazil. 2019. Chapter 21:415
    CrossRef
  4. Kuru H. Current and Emerging mHealth Technologies. 2018. Chapter 3:23
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  5. 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
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