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Citing this Article

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Published on 15.11.17 in Vol 5, No 11 (2017): November

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

Works citing "User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8211):

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

  1. 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
  2. Kajiwara K, Kako J, Noto H, Oosono Y, Kobayashi M. Reply to: Breast cancer survivors’ perspectives on a home-based physical activity intervention utilizing wearable technology. Supportive Care in Cancer 2020;28(4):1541
    CrossRef
  3. Soliño-Fernandez D, Ding A, Bayro-Kaiser E, Ding EL. Willingness to adopt wearable devices with behavioral and economic incentives by health insurance wellness programs: results of a US cross-sectional survey with multiple consumer health vignettes. BMC Public Health 2019;19(1)
    CrossRef
  4. Abdi S, de Witte L, Hawley M. Emerging Technologies With Potential Care and Support Applications for Older People: Review of Gray Literature. JMIR Aging 2020;3(2):e17286
    CrossRef
  5. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B. Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mHealth and uHealth 2019;7(6):e13084
    CrossRef
  6. Chabot M, Delaware L, McCarley S, Little C, Nye A, Anderson E. Living In Place: the Impact of Smart Technology. Current Geriatrics Reports 2019;8(3):232
    CrossRef
  7. 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
  8. Kokts-Porietis RL, Stone CR, Friedenreich CM, Froese A, McDonough M, McNeil J. Reply to a letter to the editor referencing “Breast cancer survivors’ perspectives on a home-based physical activity intervention utilizing wearable technology”. Supportive Care in Cancer 2020;28(4):1543
    CrossRef
  9. Chen K, Lou VWQ, Pak R. Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale. Innovation in Aging 2020;4(3)
    CrossRef
  10. 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
  11. Auerswald T, Meyer J, von Holdt K, Voelcker-Rehage C. Application of Activity Trackers among Nursing Home Residents—A Pilot and Feasibility Study on Physical Activity Behavior, Usage Behavior, Acceptance, Usability and Motivational Impact. International Journal of Environmental Research and Public Health 2020;17(18):6683
    CrossRef
  12. Henriksen A, Sand A, Deraas T, Grimsgaard S, Hartvigsen G, Hopstock L. Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach. BMC Public Health 2020;20(1)
    CrossRef
  13. Ding EY, Han D, Whitcomb C, Bashar SK, Adaramola O, Soni A, Saczynski J, Fitzgibbons TP, Moonis M, Lubitz SA, Lessard D, Hills MT, Barton B, Chon K, McManus DD. Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study. JMIR Cardio 2019;3(1):e13850
    CrossRef
  14. 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
  15. Abbas M, Jeannes RLB. Characterizing Peaks in Acceleration Signals–Application to Physical Activity Detection Using Wearable Sensors. IEEE Sensors Journal 2020;20(20):12384
    CrossRef
  16. Lam C, Milne-Ives M, Van Velthoven MH, Meinert E. Internet of Things–Enabled Technologies for Weight Management in Children and Adolescents: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(3):e16930
    CrossRef
  17. Ummels D, Braun S, Stevens A, Beekman E, Beurskens A. Measure It Super Simple (MISS) activity tracker: (re)design of a user-friendly interface and evaluation of experiences in daily life. Disability and Rehabilitation: Assistive Technology 2020;:1
    CrossRef
  18. Liao J, Xiao H, Li X, Sun S, Liu S, Yang Y, Xu D. A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14969
    CrossRef
  19. Jin D, Halvari H, Maehle N, Olafsen AH. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2020;:1
    CrossRef
  20. Andersen TO, Langstrup H, Lomborg S. Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study. Journal of Medical Internet Research 2020;22(7):e15873
    CrossRef
  21. Galvin HK, DeMuro PR. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032
    CrossRef
  22. Zhong R, Rau PP. Are cost-effective technologies feasible to measure gait in older adults? A systematic review of evidence-based literature. Archives of Gerontology and Geriatrics 2020;87:103970
    CrossRef
  23. Zhou J, Zhang B, Tan R, Tseng M, Zhang Y. Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis. Sustainability 2020;12(7):2864
    CrossRef
  24. 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
  25. Kim S. The Comparison of Older and Younger Adults' Attitudes Towards the Adoption and Use of Activity Trackers: A Theoretical Model (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  26. 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
  27. Reeder B, Chung J, Lyden K, Winters J, Jankowski CM. Older women’s perceptions of wearable and smart home activity sensors. Informatics for Health and Social Care 2020;45(1):96
    CrossRef
  28. Shahrokni A, Maggiore RJ, Ghassemzadeh H. New technologies in geriatric oncology care. Journal of Geriatric Oncology 2018;9(6):687
    CrossRef
  29. Zhong R, Rau PP, Yan X. Gait Assessment of Younger and Older Adults with Portable Motion-Sensing Methods: A User Study. Mobile Information Systems 2019;2019:1
    CrossRef
  30. Duff O, Walsh D, Malone S, McDermott L, Furlong B, O'Connor N, Moran K, Woods C. MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development. JMIR Formative Research 2018;2(1):e8
    CrossRef
  31. Grundstrom C, Korhonen O, Väyrynen K, Isomursu M. Insurance Customers’ Expectations for Sharing Health Data: Qualitative Survey Study. JMIR Medical Informatics 2020;8(3):e16102
    CrossRef
  32. Lin D, Papi E, McGregor AH. Exploring the clinical context of adopting an instrumented insole: a qualitative study of clinicians’ preferences in England. BMJ Open 2019;9(4):e023656
    CrossRef
  33. Goodspeed R, Yan X, Hardy J, Vydiswaran VV, Berrocal VJ, Clarke P, Romero DM, Gomez-Lopez IN, Veinot T. Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study. JMIR mHealth and uHealth 2018;6(8):e168
    CrossRef
  34. Hawkins J, Charles JM, Edwards M, Hallingberg B, McConnon L, Edwards RT, Jago R, Kelson M, Morgan K, Murphy S, Oliver EJ, Simpson SA, Moore G. Acceptability and Feasibility of Implementing Accelorometry-Based Activity Monitors and a Linked Web Portal in an Exercise Referral Scheme: Feasibility Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(3):e12374
    CrossRef
  35. 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
  36. Soon S, Svavarsdottir H, Downey C, Jayne DG. Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field. BMJ Innovations 2020;6(2):55
    CrossRef
  37. Kadylak T, Cotten SR. United States older adults’ willingness to use emerging technologies. Information, Communication & Society 2020;23(5):736
    CrossRef
  38. Mettler T, Wulf J. Physiolytics at the workplace: Affordances and constraints of wearables use from an employee's perspective. Information Systems Journal 2019;29(1):245
    CrossRef
  39. 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

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.8211):

  1. Khakurel J, Knutas A, Melkas H, Penzenstadler B, Fu B, Porras J. Universal Access in Human-Computer Interaction. Methods, Technologies, and Users. 2018. Chapter 7:91
    CrossRef