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Citing this Article

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Published on 11.04.18 in Vol 6, No 4 (2018): April

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

Works citing "Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9199):

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

  1. 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
  2. , , , , . The Blockchain Phenomenon: Conceptualizing Decentralized Networks and the Value Proposition to the Sport Industry. International Journal of Sport Communication 2019;12(3):313
    CrossRef
  3. Kleiman EM, Glenn CR, Liu RT. Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions. Journal of Clinical Child & Adolescent Psychology 2019;48(6):934
    CrossRef
  4. TİMURTAŞ E, POLAT MG. USABILITY OF MOBILE HEALTH APPLICATION FOR PEOPLE WITH TYPE 2 DIABETES MELLITUS. Clinical and Experimental Health Sciences 2020;
    CrossRef
  5. Hanghøj S, Boisen KA, Hjerming M, Elsbernd A, Pappot H. Usability of a Mobile Phone App Aimed at Adolescents and Young Adults During and After Cancer Treatment: Qualitative Study. JMIR Cancer 2020;6(1):e15008
    CrossRef
  6. , , , , . ‘Better understanding about what's going on’: young Australians’ use of digital technologies for health and fitness. Sport, Education and Society 2020;25(1):1
    CrossRef
  7. Drehlich M, Naraine M, Rowe K, Lai SK, Salmon J, Brown H, Koorts H, Macfarlane S, Ridgers ND. Using the Technology Acceptance Model to Explore Adolescents’ Perspectives on Combining Technologies for Physical Activity Promotion Within an Intervention: Usability Study. Journal of Medical Internet Research 2020;22(3):e15552
    CrossRef
  8. Crossley SGM, McNarry MA, Eslambolchilar P, Knowles Z, Mackintosh KA. The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study. Journal of Medical Internet Research 2019;21(6):e12067
    CrossRef
  9. Zhou L, DeAlmeida D, Parmanto B. Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study. JMIR mHealth and uHealth 2019;7(7):e13194
    CrossRef
  10. Koorts H, Salmon J, Timperio A, Ball K, Macfarlane S, Lai SK, Brown H, Chappel SE, Lewis M, Ridgers ND. Translatability of a Wearable Technology Intervention to Increase Adolescent Physical Activity: Mixed Methods Implementation Evaluation. Journal of Medical Internet Research 2020;22(8):e13573
    CrossRef
  11. Blower S, Swallow V, Maturana C, Stones S, Phillips R, Dimitri P, Marshman Z, Knapp P, Dean A, Higgins S, Kellar I, Curtis P, Mills N, Martin-Kerry J. Children and young people’s concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review. Archives of Disease in Childhood 2020;:archdischild-2020-319103
    CrossRef
  12. Groffik D, Fromel K, Badura P. Composition of weekly physical activity in adolescents by level of physical activity. BMC Public Health 2020;20(1)
    CrossRef
  13. Jia Y, Wang W, Wen D, Liang L, Gao L, Lei J. Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ 2018;6:e5350
    CrossRef
  14. Farivar S, Abouzahra M, Ghasemaghaei M. Wearable device adoption among older adults: A mixed-methods study. International Journal of Information Management 2020;55:102209
    CrossRef
  15. Guillodo E, Lemey C, Simonnet M, Walter M, Baca-García E, Masetti V, Moga S, Larsen M, Ropars J, Berrouiguet S. Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e10733
    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. Prayaga L, Devulapalli K, Prayaga C. Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms. International Journal of Big Data and Analytics in Healthcare 2019;4(1):32
    CrossRef
  18. Brickwood K, Williams AD, Watson G, O’Brien J. Older adults’ experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial. DIGITAL HEALTH 2020;6:205520762092167
    CrossRef
  19. Nagelhout ES, Lensink R, Zhu A, Parsons BG, Jensen JD, Wu YP. The Feasibility and Acceptability of Using a Wearable UV Radiation Exposure Monitoring Device in Adults and Children: Cross-Sectional Questionnaire Study. JMIR Dermatology 2020;3(1):e15711
    CrossRef
  20. Girginov V, Moore P, Olsen N, Godfrey T, Cooke F, Lu Z. Wearable technology-stimulated social interaction for promoting physical activity: A systematic review. Cogent Social Sciences 2020;6(1)
    CrossRef