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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. Adebesin F, Mwalugha R. The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study. JMIR mHealth and uHealth 2020;8(6):e16721
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  2. Lynn R, Pfitzer R, Rogers RR, Ballmann CG, Williams TD, Marshall MR. Step-Counting Validity of Wrist-Worn Activity Monitors During Activities With Fixed Upper Extremities. Journal for the Measurement of Physical Behaviour 2020;:1
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  3. Esakia A, McCrickard S, Harden S, Horning M, Ramalingam N. Using smartwatches to facilitate a group dynamics-based statewide physical activity intervention. International Journal of Human-Computer Studies 2020;142:102501
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  5. Friel CP, Garber CE. An Examination of the Relationship Between Motivation, Physical Activity, and Wearable Activity Monitor Use. Journal of Sport and Exercise Psychology 2020;42(2):153
    CrossRef
  6. Weiner LS, Nagel S, Su HI, Hurst S, Hartman SJ. Pink Body Spirit, a remotely delivered, peer-led physical activity intervention for younger breast cancer survivors: Protocol for a feasibility study and mixed methods process evaluation (Preprint). JMIR Research Protocols 2020;
    CrossRef
  7. Dragoni M, Donadello I, Eccher C. Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artificial Intelligence in Medicine 2020;105:101840
    CrossRef
  8. Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis. American Journal of Health Promotion 2020;34(4):418
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  9. Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029
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  10. Kooiman TJM, Dijkstra A, Kooy A, Dotinga A, van der Schans CP, de Groot M. The Role of Self-Regulation in the Effect of Self-Tracking of Physical Activity and Weight on BMI. Journal of Technology in Behavioral Science 2020;5(2):206
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  11. Glasheen E, Domingo A, Kressler J. Accuracy of Apple Watch fitness tracker for wheelchair use varies according to movement frequency and task. Annals of Physical and Rehabilitation Medicine 2020;
    CrossRef
  12. Spotswood F, Shankar A, Piwek L. Changing emotional engagement with running through communal self‐tracking: the implications of ‘teleoaffective shaping’ for public health. Sociology of Health & Illness 2020;42(4):772
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  13. 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 2020;21(1):103
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  14. 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
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  15. 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
  16. Mackintosh KA, Chappel SE, Salmon J, Timperio A, Ball K, Brown H, Macfarlane S, Ridgers ND. Parental Perspectives of a Wearable Activity Tracker for Children Younger Than 13 Years: Acceptability and Usability Study. JMIR mHealth and uHealth 2019;7(11):e13858
    CrossRef
  17. Buchan K, Morgan HM. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2019;:146045821989079
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  18. 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
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  19. 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
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  20. Signal NEJ, McLaren R, Rashid U, Vandal A, King M, Almesfer F, Henderson J, Taylor D. Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: A Multiple-Period Randomized Crossover Study (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  21. 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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  22. Endicott KM, Hynes CF, Amdur R, Macsata R. A modified activity protocol for claudication. The Journal of Cardiovascular Surgery 2019;60(3)
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  23. 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
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  24. 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
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  25. Feng Y, Agosto DE. From health to performance. Aslib Journal of Information Management 2019;71(2):217
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  26. 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
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  27. 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
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  28. 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
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  29. 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
  30. Chia GLC, Anderson A, McLean LA. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768
    CrossRef
  31. 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
  32. Centi AJ, Atif M, Golas SB, Mohammadi R, Kamarthi S, Agboola S, Kvedar JC, Jethwani K. Factors Influencing Exercise Engagement When Using Activity Trackers: Nonrandomized Pilot Study. JMIR mHealth and uHealth 2019;7(10):e11603
    CrossRef
  33. 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;25(11):1115
    CrossRef
  34. 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
  35. Ding EY, Ensom E, Hafer N, Buchholz B, Picard MA, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons TP, McManus DD. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58
    CrossRef
  36. 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
  37. Yu K, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nature Biomedical Engineering 2018;2(10):719
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  38. 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
  39. 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
  40. 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
  41. 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
  42. Falck RS, Best JR, Li LC, Chan PCY, Feehan LM, Liu-Ambrose T. Can we improve cognitive function among adults with osteoarthritis by increasing moderate-to-vigorous physical activity and reducing sedentary behaviour? Secondary analysis of the MONITOR-OA study. BMC Musculoskeletal Disorders 2018;19(1)
    CrossRef
  43. 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
  44. 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
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  45. 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
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  46. Dijkhuis TB, Blaauw FJ, van Ittersum MW, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623
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  47. 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
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  48. 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
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  49. 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
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  50. 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
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  51. 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
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  52. Keefer L. Behavioural medicine and gastrointestinal disorders: the promise of positive psychology. Nature Reviews Gastroenterology & Hepatology 2018;15(6):378
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  53. 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
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  54. 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
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  55. 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
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  56. 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
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  57. 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
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  58. 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
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  59. 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
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  61. 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
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  62. 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
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  64. 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
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  67. 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
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4461)

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  1. Mahloko L, Adebesin F. Responsible Design, Implementation and Use of Information and Communication Technology. 2020. Chapter 9:96
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  2. El-Gayar OF, Ambati LS, Nawar N. AI and Big Data’s Potential for Disruptive Innovation. 2020. chapter 5:104
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  3. Abdul Hamid SF, Ismail NN, Abdul Razak FA, Shahudin NN. Enhancing Health and Sports Performance by Design. 2020. Chapter 47:463
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  4. 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
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  5. Lemos A, Bitencourt E. The Internet and Health in Brazil. 2019. Chapter 21:415
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  6. Huppert F, Kranz M, Hoelzl G. Mobile Computing, Applications, and Services. 2019. Chapter 17:230
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  7. Kuru H. Current and Emerging mHealth Technologies. 2018. Chapter 3:23
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  8. 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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