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

Fitness Trackers and Smart Pedometers/Accelerometers (537) Usability of Apps and User Perceptions of mHealth (884) Design and Usability of Consumer Health Tech and Home Monitoring Devices (184) Physical Activity for Older People (148) Mobile Devices and Apps for Seniors and Healthy Aging (128)

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

Authors of this article:

Arjun Puri1 Author Orcid Image ;   Ben Kim1 Author Orcid Image ;   Olivier Nguyen1, 2 Author Orcid Image ;   Paul Stolee3 Author Orcid Image ;   James Tung4 Author Orcid Image ;   Joon Lee1 Author Orcid Image
Article Authors Cited by (115) Tweetations (10) Metrics

Journals

  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 View
  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
  3. Soliño-Fernandez D, Ding A, Bayro-Kaiser E, Ding E. 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) View
  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
  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) View
  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
  24. Ehn M, Johansson A, Revenäs Å. 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 View
  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
  27. Reeder B, Chung J, Lyden K, Winters J, Jankowski C. Older women’s perceptions of wearable and smart home activity sensors. Informatics for Health and Social Care 2020;45(1):96 View
  28. Shahrokni A, Maggiore R, Ghassemzadeh H. New technologies in geriatric oncology care. Journal of Geriatric Oncology 2018;9(6):687 View
  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
  33. Goodspeed R, Yan X, Hardy J, Vydiswaran V, Berrocal V, Clarke P, Romero D, Gomez-Lopez I, 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 View
  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
  37. Kadylak T, Cotten S. United States older adults’ willingness to use emerging technologies. Information, Communication & Society 2020;23(5):736 View
  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 View
  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) View
  40. Keogh A, Dorn J, Walsh L, Calvo F, Caulfield B. Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study. JMIR mHealth and uHealth 2020;8(4):e15704 View
  41. Bonci T, Keogh A, Del Din S, Scott K, Mazzà C. An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. Sensors 2020;20(22):6509 View
  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
  51. Moore K, O'Shea E, Kenny L, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis. JMIR mHealth and uHealth 2021;9(6):e23832 View
  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;7:205520762110199 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
  56. Collombon E, Bolman C, Peels D, de Bruijn G, de Groot R, Lechner L. Adding Mobile Elements to Online Physical Activity Interventions Targeted at Adults Aged 50 Years and Older: Protocol for a Systematic Design. JMIR Research Protocols 2022;11(7):e31677 View
  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
  58. Murciano Hueso A, Martín García A, Torrijos Fincias P. Revisión sistemática de aceptación de la tecnología digital en personas mayores. Perspectiva de los modelos TAM. Revista Española de Geriatría y Gerontología 2022;57(2):105 View
  59. Yu J, de Antonio A, Villalba-Mora E. Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis. Journal of Medical Internet Research 2022;24(1):e31920 View
  60. Ehn M, Derneborg M, Revenäs Å, Cicchetti A. User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health: A study on support systems for seniors’ physical activity. International Journal of Medical Informatics 2021;154:104547 View
  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
  64. Mazzà C, Alcock L, Aminian K, Becker C, Bertuletti S, Bonci T, Brown P, Brozgol M, Buckley E, Carsin A, Caruso M, Caulfield B, Cereatti A, Chiari L, Chynkiamis N, Ciravegna F, Del Din S, Eskofier B, Evers J, Garcia Aymerich J, Gazit E, Hansen C, Hausdorff J, Helbostad J, Hiden H, Hume E, Paraschiv-Ionescu A, Ireson N, Keogh A, Kirk C, Kluge F, Koch S, Küderle A, Lanfranchi V, Maetzler W, Micó-Amigo M, Mueller A, Neatrour I, Niessen M, Palmerini L, Pluimgraaff L, Reggi L, Salis F, Schwickert L, Scott K, Sharrack B, Sillen H, Singleton D, Soltani A, Taraldsen K, Ullrich M, Van Gelder L, Vereijken B, Vogiatzis I, Warmerdam E, Yarnall A, Rochester L. Technical validation of real-world monitoring of gait: a multicentric observational study. BMJ Open 2021;11(12):e050785 View
  65. Shama H, Gabinet N, Tzischinsky O, Portnov B. Monitoring sleep in real-world conditions using low-cost technology tools. Biological Rhythm Research 2023;54(2):232 View
  66. Tuominen M, Koski P, Axelin A, Stenholm S, Leskinen T. Acceptable, useful, and ineffective? Recent retirees’ experiences of a 12-month activity tracker-based physical activity intervention. DIGITAL HEALTH 2023;9:205520762211474 View
  67. Beaman H, Douglas V, Patel K, John Boscardin W, Youn J, LaHue S. Potential for remote vital sign monitoring to improve hospital patient sleep: A feasibility study. International Journal of Medical Informatics 2023;170:104970 View
  68. Chung J, Brakey H, Reeder B, Myers O, Demiris G. Community‐dwelling older adults' acceptance of smartwatches for health and location tracking. International Journal of Older People Nursing 2023;18(1) View
  69. Chan A, Chan D, Lee H, Ng C, Yeo A. Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review. International Journal of Medical Informatics 2022;160:104696 View
  70. Ma Z, Gao Q, Yang M. Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences. International Journal of Human–Computer Interaction 2023;39(5):964 View
  71. Veiga C, Pedras S, Oliveira R, Paredes H, Silva I. A systematic review on smartphone use for activity monitoring during exercise therapy in intermittent claudication. Journal of Vascular Surgery 2022;76(6):1734 View
  72. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
  73. Li M, McPhillips M, Szanton S, Wenzel J, Li J, Xie B. Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study. Work, Aging and Retirement 2024;10(1):25 View
  74. Fioranzato M, Comoretto R, Lanera C, Pressato L, Palmisano G, Barbacane L, Gregori D. Improving Healthy Aging by Monitoring Patients’ Lifestyle through a Wearable Device: Results of a Feasibility Study. International Journal of Environmental Research and Public Health 2021;18(18):9806 View
  75. Chen J, Li T, You H, Wang J, Peng X, Chen B. Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(4):3247 View
  76. Chen P, Shen Y, Li Z, Sun X, Feng X, Fisher E. What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers—Application of Diffusion of Innovation Theory. Frontiers in Public Health 2022;9 View
  77. Keogh A, Alcock L, Brown P, Buckley E, Brozgol M, Gazit E, Hansen C, Scott K, Schwickert L, Becker C, Hausdorff J, Maetzler W, Rochester L, Sharrack B, Vogiatzis I, Yarnall A, Mazzà C, Caulfield B. Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study. DIGITAL HEALTH 2023;9:205520762211507 View
  78. Schepens Niemiec S, Cariño B, Chatfield A, Quan K. mHealth-Supported Interventions With Potential to Address Sedentary Behavior in Older Adults: A Scoping Review. Journal of Aging and Physical Activity 2022;30(6):1085 View
  79. Muñoz Esquivel K, Gillespie J, Kelly D, Condell J, Davies R, McHugh C, Duffy W, Nevala E, Alamäki A, Jalovaara J, Tedesco S, Barton J, Timmons S, Nordström A. Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study. JMIR Aging 2023;6:e36807 View
  80. Yau Y, Hsiao C. The Technology Acceptance Model and Older Adults’ Exercise Intentions—A Systematic Literature Review. Geriatrics 2022;7(6):124 View
  81. Hvalič-Touzery S, Šetinc M, Dolničar V. Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study. International Journal of Environmental Research and Public Health 2022;19(23):15723 View
  82. De Santis K, Mergenthal L, Christianson L, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(7):e37729 View
  83. Tomičić A, Malešević A, Čartolovni A. Ethical, Legal and Social Issues of Digital Phenotyping as a Future Solution for Present-Day Challenges: A Scoping Review. Science and Engineering Ethics 2022;28(1) View
  84. Suh A, Li M. How the use of mobile fitness technology influences older adults’ physical and psychological well-being. Computers in Human Behavior 2022;131:107205 View
  85. Domingos C, Costa P, Santos N, Pêgo J. Usability, Acceptability, and Satisfaction of a Wearable Activity Tracker in Older Adults: Observational Study in a Real-Life Context in Northern Portugal. Journal of Medical Internet Research 2022;24(1):e26652 View
  86. Collombon E, Peels D, Bolman C, de Bruijn G, Lechner L. Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development Study. JMIR Formative Research 2023;7:e42394 View
  87. Mair J, Hayes L, Campbell A, Buchan D, Easton C, Sculthorpe N. A Personalized Smartphone-Delivered Just-in-time Adaptive Intervention (JitaBug) to Increase Physical Activity in Older Adults: Mixed Methods Feasibility Study. JMIR Formative Research 2022;6(4):e34662 View
  88. Rhee J, Ma J, Seo J, Cha S. Review of applications and user perceptions of smart home technology for health and environmental monitoring. Journal of Computational Design and Engineering 2022;9(3):857 View
  89. Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Medical Informatics and Decision Making 2022;22(1) View
  90. Alduaij M. Towards a Wearable Technology Model. International Journal of Information Systems in the Service Sector 2022;14(1):1 View
  91. Paolillo E, Lee S, VandeBunte A, Djukic N, Fonseca C, Kramer J, Casaletto K. Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors. Frontiers in Digital Health 2022;4 View
  92. Cobos-Campos R, Cordero-Guevara J, Apiñaniz A, de Lafuente A, Bermúdez Ampudia C, Argaluza Escudero J, Pérez Llanos I, Parraza Diez N. The Impact of Digital Health on Smoking Cessation. Interactive Journal of Medical Research 2023;12:e41182 View
  93. Turner J, Chow J, Cheng J, Hassanali F, Sevigny H, Sperduti M, Chan Carusone S, Dagenais M, O'Brien K. Wireless physical activity monitor use among adults living with HIV in a community-based exercise intervention study: a quantitative, longitudinal, observational study. BMJ Open 2023;13(4):e068754 View
  94. Begde A, Jain M, Goodwin M, Brayne C, Barnes L, Brooks R, Green E, Richardson C, Dening T, Wilcockson T, Hogervorst E. Exploring factors influencing willingness of older adults to use assistive technologies: evidence from the cognitive function and ageing study II. Information, Communication & Society 2024;27(2):368 View
  95. Lane S, Fitzsimmons E, Zelefksy A, Klein J, Kaur S, Viswanathan S, Garg M, Feldman J, Jariwala S. Assessing Electronic Health Literacy at an Urban Academic Hospital. Applied Clinical Informatics 2023;14(02):365 View
  96. Balkić Widmann J, Dimitrijević I, Radoš I, Banjari I. The use of wearable technology in a comprehensive chronic pain management programme. THE NEW ARMENIAN MEDICAL JOURNAL 2023;(1, 17 (2023)):46 View
  97. Balkić Widmann J, Dimitrijević I, Radoš I, Banjari I. The use of wearable technology in a comprehensive chronic pain management programme. THE NEW ARMENIAN MEDICAL JOURNAL 2023;(1, 17 (2023)):46 View
  98. Hsu L, Chen H, Wu P, Hua K. Daylily (Hemerocallis fulva Linn.) Flowers Improve Sleep Quality in Human and Reduce Nitric Oxide and Interleukin-6 Production in Macrophages. Chinese Journal of Physiology 2023;66(5):313 View
  99. Winter P, Chico T. Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Identify Barriers and Facilitators for the Implementation of Digital Twins in Cardiovascular Medicine. Sensors 2023;23(14):6333 View
  100. Li M, Huang J, Budhathoki C, Li Q, Samuel L, Szanton S, Schrack J, Li J. Social Factors and Older Adults’ Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic. Journal of Applied Gerontology 2024;43(2):182 View
  101. Seo E, Lee S. Implications of Aging in Place in the Context of the Residential Environment: Bibliometric Analysis and Literature Review. International Journal of Environmental Research and Public Health 2023;20(20):6905 View
  102. Hsu L, Chen H, Wu P, Hua K. Daylily (Hemerocallis fulva Linn.) flowers improve sleep quality in human and reduce nitric oxide and interleukin-6 production in macrophages. Chinese Journal of Physiology 2023;0(0):0 View
  103. El-Toukhy S, Pike J, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e47567 View
  104. Kabir M, Shin J, Mridha M. Secure Your Steps: A Class-Based Ensemble Framework for Real-Time Fall Detection Using Deep Neural Networks. IEEE Access 2023;11:64097 View
  105. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View
  106. van Acker J, Maenhout L, Compernolle S, Albert S. Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies. Innovation in Aging 2023;7(2) View
  107. Goerss D, Köhler S, Rong E, Temp A, Kilimann I, Bieber G, Teipel S. Smartwatch-Based Interventions for People With Dementia: User-Centered Design Approach. JMIR Aging 2024;7:e50107 View
  108. Balkić Widmann J, Dimitrijević I, Radoš I, Banjari I. The use of wearable technology in a comprehensive chronic pain management programme. THE NEW ARMENIAN MEDICAL JOURNAL 2023;(1, 17 (2023)):46 View
  109. Ramalho A, Paulo R, Duarte-Mendes P, Serrano J, Petrica J. Age Unplugged: A Brief Narrative Review on the Intersection of Digital Tools, Sedentary and Physical Activity Behaviors in Community-Dwelling Older Adults. Healthcare 2024;12(9):935 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