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

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

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

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

Journals

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  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 View
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  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 View
  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 View
  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 View
  7. Ehn M, Eriksson L, 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 View
  8. Kokts-Porietis R, Stone C, Friedenreich C, 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 View
  9. Chen K, Lou V, Pak R. Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale. Innovation in Aging 2020;4(3) View
  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 View
  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 View
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  13. Ding E, Han D, Whitcomb C, Bashar S, Adaramola O, Soni A, Saczynski J, Fitzgibbons T, Moonis M, Lubitz S, Lessard D, Hills M, Barton B, Chon K, McManus D. 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 View
  14. Mueller C, Stollfuss B, Roitenberg A, Harder J, Richter M. 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 View
  15. Abbas M, Jeannes R. Characterizing Peaks in Acceleration Signals–Application to Physical Activity Detection Using Wearable Sensors. IEEE Sensors Journal 2020;20(20):12384 View
  16. Lam C, Milne-Ives M, Van Velthoven M, 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 View
  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 2022;17(7):767 View
  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 View
  19. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2022;41(2):242 View
  20. Andersen T, 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 View
  21. Galvin H, DeMuro P. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032 View
  22. Zhong R, Rau P. 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 View
  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 View
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  25. Kim S, Choudhury A. Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers. JMIR mHealth and uHealth 2020;8(10):e18312 View
  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 View
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  29. Zhong R, Rau P, Yan X. Gait Assessment of Younger and Older Adults with Portable Motion-Sensing Methods: A User Study. Mobile Information Systems 2019;2019:1 View
  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 View
  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 View
  32. Lin D, Papi E, McGregor A. Exploring the clinical context of adopting an instrumented insole: a qualitative study of clinicians’ preferences in England. BMJ Open 2019;9(4):e023656 View
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  34. Hawkins J, Charles J, Edwards M, Hallingberg B, McConnon L, Edwards R, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, 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 View
  35. Ummels D, Beekman E, Moser A, Braun S, Beurskens A. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2020;42(23):3284 View
  36. Soon S, Svavarsdottir H, Downey C, Jayne D. Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field. BMJ Innovations 2020;6(2):55 View
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  42. Jennings M, Guilfoyle A, Green J, Cleary Y, Gowran R. Octopus Watch Fosters Family Resilience by Enhancing Occupational Engagement for Children with Spina Bifida and/or Hydrocephalus: Pilot Study. International Journal of Environmental Research and Public Health 2020;17(22):8316 View
  43. Degerli M, Ozkan Yildirim S. Identifying critical success factors for wearable medical devices: a comprehensive exploration. Universal Access in the Information Society 2022;21(1):121 View
  44. Vargemidis D, Gerling K, Spiel K, Abeele V, Geurts L. Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review. ACM Transactions on Computing for Healthcare 2020;1(4):1 View
  45. Joshi M, Archer S, Morbi A, Arora S, Kwasnicki R, Ashrafian H, Khan S, Cooke G, Darzi A. Short-Term Wearable Sensors for In-Hospital Medical and Surgical Patients: Mixed Methods Analysis of Patient Perspectives. JMIR Perioperative Medicine 2021;4(1):e18836 View
  46. Concheiro-Moscoso P, Martínez-Martínez F, Miranda-Duro M, Pousada T, Nieto-Riveiro L, Groba B, Mejuto-Muiño F, Pereira J. Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands. International Journal of Environmental Research and Public Health 2021;18(3):1106 View
  47. Sarradon-Eck A, Bouchez T, Auroy L, Schuers M, Darmon D. Attitudes of General Practitioners Toward Prescription of Mobile Health Apps: Qualitative Study. JMIR mHealth and uHealth 2021;9(3):e21795 View
  48. Domingos C, Correia Santos N, Pêgo J. Association between Self-Reported and Accelerometer-Based Estimates of Physical Activity in Portuguese Older Adults. Sensors 2021;21(7):2258 View
  49. Nickerson G, Shade K. Effect of Increasing Physical Activity on Cognitive Function in Individuals With Mild Cognitive Impairment: A Knowledge Translation to Practice Pilot Project. Journal of Gerontological Nursing 2021;47(5):14 View
  50. Miranda-Duro M, Nieto-Riveiro L, Concheiro-Moscoso P, Groba B, Pousada T, Canosa N, Pereira J. Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2. Sensors 2021;21(10):3341 View
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  52. Simmich J, Mandrusiak A, Russell T, Smith S, Hartley N. Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity. DIGITAL HEALTH 2021;7 View
  53. Gerhardsson K, Laike T. User acceptance of a personalised home lighting system based on wearable technology. Applied Ergonomics 2021;96:103480 View
  54. Domingos C, Costa P, Santos N, Pêgo J. European Portuguese Version of the User Satisfaction Evaluation Questionnaire (USEQ): Transcultural Adaptation and Validation Study. JMIR mHealth and uHealth 2021;9(6):e19245 View
  55. Ocagli H, Lorenzoni G, Lanera C, Schiavo A, D’Angelo L, Liberti A, Besola L, Cibin G, Martinato M, Azzolina D, D’Onofrio A, Tarantini G, Gerosa G, Cabianca E, Gregori D. Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices: Insights on Feasibility and Capability Study: Feasibility Results. International Journal of Environmental Research and Public Health 2021;18(13):7171 View
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  57. Uche-Okoye D, Ajemba M, Amy B, Arene E, Ugo C, Eze N, Anyadike I, Onuorah U, Chiwenite C. Is telerehabilitation an effective maintenance strategy for patients with chronic obstructive pulmonary diseases: a systematic review. Bulletin of the National Research Centre 2023;47(1) View
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  61. Mohammed N, Wang R, Jackson R, Noh Y, Gummeson J, Lee S. Charging Wearable Devices Through Natural Interactions with Instrumented Everyday Objects. GetMobile: Mobile Computing and Communications 2022;26(2):29 View
  62. Domingos C, Picó-Pérez M, Magalhães R, Moreira M, Sousa N, Pêgo J, Santos N. Free-Living Physical Activity Measured With a Wearable Device Is Associated With Larger Hippocampus Volume and Greater Functional Connectivity in Healthy Older Adults: An Observational, Cross-Sectional Study in Northern Portugal. Frontiers in Aging Neuroscience 2021;13 View
  63. O’Brien J, Mason A, Cassarino M, Chan J, Setti A. Older Women’s Experiences of a Community-Led Walking Programme Using Activity Trackers. International Journal of Environmental Research and Public Health 2021;18(18):9818 View
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  113. Huang H, Chang M, Chen P, Lin C, Sung P, Chen C, Fan S. Exploring factors affecting the acceptance of fall detection technology among older adults and their families: a content analysis. BMC Geriatrics 2024;24(1) View
  114. Bilici F. AKILLI SAAT TEKNOLOJİSİNE YÖNELİK TÜKETİCİ ALGILARI: MEMNUNİYET VE TEKRAR SATIN ALMA NİYETİ ÜZERİNE BİR ARAŞTIRMA. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2024;25(3):267 View
  115. Dangbut A, Watcharamaisakul F, Champahom T, Jomnonkwao S, Wisutwattanasak P, Phojaem T, Ratanavaraha V. The Impact of Attitude on High-Speed Rail Technology Acceptance among Elderly Passengers in Urban and Rural Areas: A Multigroup SEM Analysis. Infrastructures 2024;9(10):174 View
  116. Chung J, Bleich M, Wheeler D, Winship J, McDowell B, Baker D, Parsons P. Attitudes and Perceptions Toward Voice-Operated Smart Speakers Among Low-Income Senior Housing Residents: Comparison of Pre- and Post-Installation Surveys. Gerontology and Geriatric Medicine 2021;7 View
  117. Ho M, Peng C, Liao Y, Yen H. Efficacy of a Wearable Activity Tracker With Step-by-Step Goal-Setting on Older Adults’ Physical Activity and Sarcopenia Indicators: Clustered Trial. Journal of Medical Internet Research 2024;26:e60183 View

Books/Policy Documents

  1. Khakurel J, Knutas A, Melkas H, Penzenstadler B, Fu B, Porras J. Universal Access in Human-Computer Interaction. Methods, Technologies, and Users. View
  2. Cruz-Sandoval D, Favela J, Lopez-Nava I, Morales A. IoT in Healthcare and Ambient Assisted Living. View
  3. Degerli M, Ozkan Yildirim S. IoT in Healthcare and Ambient Assisted Living. View
  4. Tung J, Gower S, Ooteghem K, Nouredanesh M, Gage W. Digital Health. View
  5. Branin J. Quantifying Quality of Life. View
  6. Karayaneva Y, Sharifzadeh S, Szczepura A, Jing Y, Tan B. Impact of Digital Solutions for Improved Healthcare Delivery. View