Published on in Vol 9 , No 6 (2021) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23832, first published .
Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Journals

  1. Schilz C, Sammito S. Physical activity of daily life of Bundeswehr soldiers: a cross-sectional study. BMJ Military Health 2021:bmjmilitary-2021-001865 View
  2. Hofbauer L, Rodriguez F. How is the usability of commercial activity monitors perceived by older adults and by researchers? A cross-sectional evaluation of community-living individuals. BMJ Open 2022;12(11):e063135 View
  3. Kenny L, Moore K, O' Riordan C, Fox S, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration. JMIR Formative Research 2022;6(1):e27418 View
  4. Vasquez B, Betriana F, Nemenzo E, Inabangan A, Tanioka R, Garcia L, Juntasopeepun P, Tanioka T, Locsin R. Effects of Healthcare Technologies on the Promotion of Physical Activities in Older Persons: A Systematic Review. Informatics for Health and Social Care 2023;48(2):196 View
  5. Van Wier M, Urry E, Lissenberg-Witte B, Kramer S. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2022:1 View
  6. Kari T, Makkonen M, Carlsson C. Physical Activity Tracker Application in Promoting Physical Activity Behavior among Older Adults: A 24-month Follow-Up Study. Journal of Aging and Health 2022:089826432211358 View
  7. Kumar S, Victoria-Castro A, Melchinger H, O’Connor K, Psotka M, Desai N, Ahmad T, Wilson F. Wearables in Cardiovascular Disease. Journal of Cardiovascular Translational Research 2022 View
  8. Félix J, Moreira J, Santos R, Kontio E, Pinheiro A, Sousa A. Health-Related Telemonitoring Parameters/Signals of Older Adults: An Umbrella Review. Sensors 2023;23(2):796 View
  9. Hechinger M, Hentschel D, Aumer C, Rester C. A Conceptual Model of Experiences With Digital Technologies in Aging in Place: Qualitative Systematic Review and Meta-synthesis. JMIR Aging 2022;5(3):e34872 View
  10. 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
  11. 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
  12. Zytnick D, Folta S, Reid K, Chomitz V. Better Understanding Wearable Activity Monitor Use and Non-Use Among Older Adults: A Qualitative Study. Journal of Applied Gerontology 2023;42(3):447 View
  13. 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
  14. Friedrich B, Lübbe C, Steen E, Bauer J, Hein A. Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults. Sensors 2022;22(2):493 View
  15. Faro J, Yue K, Singh A, Soni A, Ding E, Shi Q, McManus D. Wearable device use and technology preferences in cancer survivors with or at risk for atrial fibrillation. Cardiovascular Digital Health Journal 2022;3(6):S23 View
  16. Czaja S, Ceruso M. The Promise of Artificial Intelligence in Supporting an Aging Population. Journal of Cognitive Engineering and Decision Making 2022;16(4):182 View
  17. 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
  18. Neef C, Linden K, Richert A. Exploring the Influencing Factors on User Experience in Robot-Assisted Health Monitoring Systems Combining Subjective and Objective Health Data. Applied Sciences 2023;13(6):3537 View
  19. Debelle H, Packer E, Beales E, Bailey H, Mc Ardle R, Brown P, Hunter H, Ciravegna F, Ireson N, Evers J, Niessen M, Shi J, Yarnall A, Rochester L, Alcock L, Del Din S. Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease. Frontiers in Neurology 2023;14 View
  20. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637 View
  21. Garcia Reyes E, Kelly R, Buchanan G, Waycott J. Understanding Older Adults’ Experiences With Technologies for Health Self-management: Interview Study. JMIR Aging 2023;6:e43197 View
  22. Paulauskaite-Taraseviciene A, Siaulys J, Sutiene K, Petravicius T, Navickas S, Oliandra M, Rapalis A, Balciunas J. Geriatric Care Management System Powered by the IoT and Computer Vision Techniques. Healthcare 2023;11(8):1152 View
  23. Avella-Rodríguez E, Gómez L, Ramirez-Scarpetta J, Rosero E. Colombian Stakeholder Perceptions and Recommendations Regarding Fall Detection Systems for Older Adults. Geriatrics 2023;8(3):51 View
  24. TEKİNDAL M, TONBALAK K. NİTEL ARAŞTIRMALARDA META-SENTEZİN KAPSAMI VE YAŞLILIK ALANINDA META-SENTEZ ÖRNEKLERİ. Ufkun Ötesi Bilim Dergisi 2021;21(2):235 View