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
.

Journals
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- 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
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- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- TEKİNDAL M, TONBALAK K. NİTEL ARAŞTIRMALARDA META-SENTEZİN KAPSAMI VE YAŞLILIK ALANINDA META-SENTEZ ÖRNEKLERİ. Ufkun Ötesi Bilim Dergisi 2021;21(2):235 View