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Citing this Article

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Published on 30.10.17 in Vol 5, No 10 (2017): October

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

Works citing "Determinants for Sustained Use of an Activity Tracker: Observational Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7311):

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

  1. Fan KG, Mandel J, Agnihotri P, Tai-Seale M. Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison. JMIR mHealth and uHealth 2020;8(5):e16147
    CrossRef
  2. Panda N, Solsky I, Huang EJ, Lipsitz S, Pradarelli JC, Delisle M, Cusack JC, Gadd MA, Lubitz CC, Mullen JT, Qadan M, Smith BL, Specht M, Stephen AE, Tanabe KK, Gawande AA, Onnela J, Haynes AB. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surgery 2020;155(2):123
    CrossRef
  3. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185
    CrossRef
  4. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis RG, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674
    CrossRef
  5. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039
    CrossRef
  6. De Moya J, Pallud J. From panopticon to heautopticon: A new form of surveillance introduced by quantified-self practices. Information Systems Journal 2020;
    CrossRef
  7. Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790
    CrossRef
  8. Meng Y, Speier W, Shufelt C, Joung S, E Van Eyk J, Bairey Merz CN, Lopez M, Spiegel B, Arnold CW. A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. IEEE Journal of Biomedical and Health Informatics 2020;24(3):878
    CrossRef
  9. Voskuil VR, Stroup S, Leyden M. Acceptability and Usability of a Wearable Activity Tracker and Application Among Inactive Adolescent Girls. Physical Activity and Health 2020;4(1):52
    CrossRef
  10. Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223
    CrossRef
  11. 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
    CrossRef
  12. Claes J, Cornelissen V, McDermott C, Moyna N, Pattyn N, Cornelis N, Gallagher A, McCormack C, Newton H, Gillain A, Budts W, Goetschalckx K, Woods C, Moran K, Buys R. PATHway-I: Feasibility, acceptability and clinical effectiveness of a technology enabled cardiac rehabilitation platform. A randomized controlled trial. (Preprint). Journal of Medical Internet Research 2019;
    CrossRef
  13. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood DA, Young HM. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586
    CrossRef
  14. 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
  15. Lin F, Windasari NA. Continued use of wearables for wellbeing with a cultural probe. The Service Industries Journal 2019;39(15-16):1140
    CrossRef
  16. Grym K, Niela-Vilén H, Ekholm E, Hamari L, Azimi I, Rahmani A, Liljeberg P, Löyttyniemi E, Axelin A. Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth. BMC Pregnancy and Childbirth 2019;19(1)
    CrossRef
  17. Cox NS, Holland AE. Current perspectives of physical activity in cystic fibrosis. Expert Review of Respiratory Medicine 2019;13(1):13
    CrossRef
  18. Mueller C, Stollfuss B, Roitenberg A, Harder J, Richter MJ. Evaluation of Clinical Outcomes and Simultaneous Digital Tracking of Daily Physical Activity, Heart Rate, and Inhalation Behavior in Patients With Pulmonary Arterial Hypertension Treated With Inhaled Iloprost: Protocol for the Observational VENTASTEP Study. JMIR Research Protocols 2019;8(4):e12144
    CrossRef
  19. Waalen J, Peters M, Ranamukhaarachchi D, Li J, Ebner G, Senkowsky J, Topol EJ, Steinhubl SR, Mortazavi B. Real world usage characteristics of a novel mobile health self-monitoring device: Results from the Scanadu Consumer Health Outcomes (SCOUT) Study. PLOS ONE 2019;14(4):e0215468
    CrossRef
  20. Ummels D, Beekman E, Moser A, Braun SM, Beurskens AJ. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2019;:1
    CrossRef
  21. 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
  22. 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
  23. Ridgers ND, Timperio A, Brown H, Ball K, Macfarlane S, Lai SK, Richards K, Mackintosh KA, McNarry MA, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86
    CrossRef
  24. Alcántara-Aragón V, Rodrigo-Cano S, Lupianez-Barbero A, Martinez MJ, Martinez C, Tapia J, Iniesta JM, Tenes S, Urgell E, Navarro G, Hernando ME, Merino-Torres JF, de Leiva A, Gonzalez C. Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results. Diabetes Technology & Therapeutics 2018;20(5):380
    CrossRef
  25. Wiesner M, Zowalla R, Suleder J, Westers M, Pobiruchin M. Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study. JMIR mHealth and uHealth 2018;6(12):e201
    CrossRef