Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers
Open accessAbstract
Wearable healthcare devices offer tremendous promise to effectively track and improve the well-being of older adults. Yet, little is known about the use of wearable devices by older adults. Drawing upon a national survey in US with 1481 older adults, we examine the use of wearable healthcare devices and the key predictors of use viz. sociodemographic factors, health conditions, and technology self-efficacy. We also examine if the predictors are associated with elders’ willingness to share health data from wearable devices with healthcare providers. We find low level of wearable use (17.49%) among US older adults. We find significant positive associations between technology self-efficacy, health conditions, and demographic factors (gender, race, education, and annual household income) and use of wearable devices. Men were less likely (OR = 0.62, 95% CI 0.36–1.04) and Asians were more likely (OR = 2.60, 95% CI 0.89–7.64) to use wearables, as did healthy adults (OR = 1.98, 95% CI 1.37–2.87). Those who electronically communicated with their doctors (OR = 1.86, 95% CI 1.16–2.97), and those who searched online for health information (OR = 1.79, 95% CI 1.03–3.10) were more likely to use wearables. Though 80.15% of wearable users are willing to share health data with providers, those with greater technology self-efficacy and favorable attitudes toward exercise are more willing.
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A study among US older adults (over 65) indicates that wearable use is positively associated with digital fluency, health status, education, and income.
“A study among US older adults (over 65) indicates that wearables use is positively associated with digital fluency, health status, education, and income (Ranganathan et al., 2021).”
From Sociodemographics and Digital Health Literacy in Using Wearables for Health Promotion and Disease Prevention: Cross-Sectional Nationwide Survey in Germany (2025) · cites this paper as Ranganathan et al., 2021
Cites
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Wang, H., Abbas, K. M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., Abolhassani, H., Abreu, L. G., Abrigo, M. R. M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30977-6 · Cited by 1,971 · see citing works
Systematic review of the validity and reliability of consumer-wearable activity trackers
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232 · see citing works
Hoque, R., & Sorwar, G. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.002 · Cited by 1,004 · see citing works
Heeringa, S. G., West, B. T., & Berglund, P. A. (2010) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420080674 · Cited by 896 · see citing works
Loneliness and health in older adults: a mini-review and synthesis
Ong, A. D., Uchino, B. N., & Wethington, E. (2016) · Gerontology · doi:10.1159/000441651 · Cited by 868 · see citing works
LIFE EXPECTANCY AND MORTALITY RATES IN THE UNITED STATES, 1959-2017
Woolf, S., & Schoomaker, H. (2019) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2019.16932 · Cited by 746 · see citing works
Fuller, D., Colwell, E., Low, J., Orychock, K., Tobin, M. A., Simango, B., Buote, R., Van Heerden, D., Luan, H., Cullen, K., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/18694 · Cited by 715 · see citing works
An empirical study of wearable technology acceptance in healthcare
Gao, Y., Li, H., & Luo, Y. (2015) · Industrial Management & Data Systems · doi:10.1108/imds-03-2015-0087 · Cited by 673 · see citing works
A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19
Seifert, A., Cotten, S. R., & Xie, B. (2020) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaa098 · Cited by 667 · see citing works
Older people, assistive technologies, and the barriers to adoption: A systematic review
Yusif, S., Soar, J., & Hafeez-Baig, A. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.07.004 · Cited by 548 · see citing works
Who uses mobile phone health apps and does use matter? A secondary data analytics approach
Carroll, J. K., Moorhead, A., Bond, R., LeBlanc, W. G., Petrella, R. J., & Fiscella, K. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.5604 · Cited by 540 · see citing works
Hill, R., Betts, L. R., & Gardner, S. E. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.062 · Cited by 479 · see citing works
“Who over 65 is online?” Older adults’ dispositions toward information communication technology
Vroman, K. G., Arthanat, S., & Lysack, C. L. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.018 · Cited by 467 · see citing works
Niehaves, B., & Plattfaut, R. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2013.19 · Cited by 442 · see citing works
Health monitoring through wearable technologies for older adults: Smart wearables acceptance model.
Li, J., Ma, Q., Chan, A. H. S., & Man, S.-S. (2019) · Applied Ergonomics · doi:10.1016/j.apergo.2018.10.006 · Cited by 386 · see citing works
Kogan, A. C., Wilber, K. H., & Mosqueda, L. A. (2015) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13873 · Cited by 383 · see citing works
Remote health monitoring of elderly through wearable sensors
Al-Khafajiy, M., Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M., & Waraich, A. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-018-7134-7 · Cited by 374 · see citing works
Hauk, N., Hüffmeier, J., & Krumm, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.01.020 · Cited by 297 · see citing works
15 Smartphone apps for older adults to use while in isolation during the COVID-19 pandemic
Banskota, S., Healy, M., & Goldberg, E. (2020) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2020.4.47372 · Cited by 266 · see citing works
Talukder, M. S., Sorwar, G., Bao, Y.-K., Ahmed, J., & Palash, M. A. S. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119793 · Cited by 264 · see citing works
Lončar-Turukalo, T., Zdravevski, E., da Silva, J. M., Chouvarda, I., & Trajkovik, V. (2019) · Journal of Medical Internet Research · doi:10.2196/14017 · Cited by 240 · see citing works
Personal and other factors affecting acceptance of smartphone technology by older Chinese adults
Ma, Q., Chan, A. H. S., & Chen, K. (2015) · Applied Ergonomics · doi:10.1016/j.apergo.2015.11.015 · Cited by 236 · see citing works
Development of a Wearable-Sensor-Based Fall Detection System
Wu, F., Zhao, H., Zhao, Y., & Zhong, H. (2015) · International Journal of Telemedicine and Applications · doi:10.1155/2015/576364 · Cited by 235 · see citing works
Zhang, M., Luo, M., Nie, R., & Zhang, Y. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.09.016 · Cited by 211 · see citing works
Designing mobile technology for elderly. A theoretical overview
Iancu, I. R., & Iancu, B. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.119977 · Cited by 203 · see citing works
The usefulness and actual use of wearable devices among the elderly population
Kekade, S., Hseieh, C.-H., Islam, M. M., Atique, S., Khalfan, A. M., Li, Y., & Syed-Abdul, S. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.10.008 · Cited by 202 · see citing works
Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model
Zhou, M., Zhao, L., Kong, N., Campy, K. S., Qu, S., & Wang, S. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.04.001 · Cited by 180 · see citing works
Technology Use by Older Adults and Barriers to Using Technology
Gitlow, L. (2014) · Physical & Occupational Therapy In Geriatrics · doi:10.3109/02703181.2014.946640 · Cited by 178 · see citing works
Lee, S. Y., & Lee, K. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.01.002 · Cited by 174 · see citing works
Teixeira, E., Fonseca, H., Diniz‐Sousa, F., Veras, L., Boppre, G., de Oliveira, J. J. F., Pinto, D., Alves, A. J., Barbosa, A., Mendes, R., et al. (2021) · Geriatrics · doi:10.3390/geriatrics6020038 · Cited by 172 · see citing works
Investigating Factors Affecting Elderly's Intention to Use m-Health Services: An Empirical Study
Quaosar, G. M. A. A., Hoque, M. R., & Bao, Y. (2017) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0111 · Cited by 133 · see citing works
Chen, A., Ge, S., Cho, S., Teng, A. K., Chu, F., Demiris, G., & Zaslavsky, O. (2020) · Geriatric Nursing · doi:10.1016/j.gerinurse.2020.08.001 · Cited by 132 · see citing works
Durán-Vega, L. A., Santana-Mancilla, P. C., Buenrostro‐Mariscal, R., Contreras-Castillo, J. J., Anido, L., García-Ruiz, M. Á., Montesinos-López, O. A., & Estrada-González, F. (2019) · Geriatrics · doi:10.3390/geriatrics4020034 · Cited by 128 · see citing works
Patient portals and personal health information online: perception, access, and use by US adults
Peacock, S., Reddy, A., Leveille, S. G., Walker, J., Payne, T. H., Oster, N. V., & Elmore, J. G. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw095 · Cited by 121 · see citing works
Mobile and wearable technologies in healthcare for the ageing population
Malwade, S., Syed-Abdul, S., Uddin, M., Nursetyo, A. A., Fernández-Luque, L., Zhu, X., Cilliers, L., Wong, C.-P., Bamidis, P. D., & Li, Y. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.04.026 · Cited by 120 · see citing works
Gender Similarities and Differences for e-Health Behaviors Among U.S. Adults
Escoffery, C. (2017) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0136 · Cited by 115 · see citing works
Taylor, C. A., Bouldin, E. D., Greenlund, K. J., & McGuire, L. C. (2019) · Innovation in Aging · doi:10.1093/geroni/igz045 · Cited by 113 · see citing works
Wearable healthcare: Lessons from the past and a peek into the future
Casselman, J., Onopa, N., & Khansa, L. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.04.011 · Cited by 108 · see citing works
Elderly Persons and Internet Use
Ramón-Jerónimo, M. Á., Peral, B. P., & Arenas-Gaitán, J. (2013) · Social Science Computer Review · doi:10.1177/0894439312473421 · Cited by 102 · see citing works
Boland, L., Légaré, F., Pérez, M. M. B., Menear, M., Garvelink, M. M., McIsaac, D. I., Guérard, G. P., Emond, J., Brière, N., & Stacey, D. (2017) · BMC Geriatrics · doi:10.1186/s12877-016-0395-y · Cited by 96 · see citing works
Integrated Telehealth and Telecare for Monitoring Frail Elderly with Chronic Disease
Gökalp, H., de Folter, J., Verma, V., Fursse, J., Jones, R., & Clarke, M. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0322 · Cited by 85 · see citing works
Jang, I., Kim, H. R., Lee, E., Jung, H., Park, H., Cheon, S.-H., Lee, Y. S., & Park, Y. R. (2018) · JMIR mhealth and uhealth · doi:10.2196/11335 · Cited by 76 · see citing works
Using Telehealth Groups to Combat Loneliness in Older Adults Through COVID ‐19
Zubatsky, M., Berg‐Weger, M., & Morley, J. E. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16553 · Cited by 74 · see citing works
Social media, ageism, and older adults during the COVID-19 pandemic
Soto‐Pérez‐de‐Celis, E. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100634 · Cited by 56 · see citing works
Factors for Elderly Use of Social Media for Health‐Related Activities
Parida, V., Mostaghel, R., & Oghazi, P. (2016) · Psychology and Marketing · doi:10.1002/mar.20949 · Cited by 51 · see citing works
Tan, L. F., Ho, V., Seetharaman, S. K., & Yip, A. W. (2020) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.14017 · Cited by 50 · see citing works
The antecedents and results of seniors’ use of activity tracking wearable devices
Abouzahra, M., & Ghasemaghaei, M. (2019) · Health Policy and Technology · doi:10.1016/j.hlpt.2019.11.002 · Cited by 46 · see citing works
(2012) · SAGE Publications Ltd eBooks · doi:10.4135/9781473963702 · Cited by 45 · see citing works
Valued elders or societal burden: Cross-national attitudes toward older adults
Peterson, L., & Ralston, M. L. (2017) · International Sociology · doi:10.1177/0268580917726943 · Cited by 44 · see citing works
Fotiadis, D. I., Glaros, C., & Likas, A. C. (2006) · Wiley Encyclopedia of Biomedical Engineering · doi:10.1002/9780471740360.ebs1326 · Cited by 38 · see citing works
eHealth patient-provider communication in the United States: interest, inequalities, and predictors
Spooner, K. K., Salemi, J. L., Salihu, H. M., & Zoorob, R. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw087 · Cited by 38 · see citing works
Socioeconomic success of Asian immigrants in the United States
Lueck, K. (2017) · Journal of Ethnic and Migration Studies · doi:10.1080/1369183x.2017.1320940 · Cited by 31 · see citing works
Yu-Huei, C., Chen, J., & Wang, M. (2019) · Portland International Conference on Management of Engineering and Technology (PICMET) · doi:10.23919/picmet.2019.8893767 · Cited by 23 · see citing works
COVID-19 and Its Impacts on Older Adults: Global Perspectives
Gu, D., & Feng, Q. (2021) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbab088 · Cited by 9 · see citing works
Parajuli, J., Berish, D. E., & Jao, Y. (2019) · Innovation in Aging · doi:10.1093/geroni/igz038.2118 · Cited by 2 · see citing works
(2016) · OECD factbook ... Economy, environmental and social statistics · doi:10.1787/factbook-2015-graph9-en · Cited by 1 · see citing works
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Czaja, S. J., & Ceruso, M. (2022) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434221129914 · Cited by 81 · see citing works
Chandrasekaran, R., Muhammed Sadiq, T., & Moustakas, E. (2025) · Journal of Medical Internet Research · doi:10.2196/63879 · Cited by 59 · see citing works
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Wang, X., Wu, Y., Meng, Z., Li, J., Li, X., Sun, X., & Zang, S. (2023) · Journal of Medical Internet Research · doi:10.2196/44225 · Cited by 40 · see citing works
Oba, T., Takano, K., Katahira, K., & Kimura, K. (2023) · JMIR mhealth and uhealth · doi:10.2196/49148 · Cited by 30 · see citing works
Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W. J., & Denkinger, M. D. (2023) · BMC Public Health · doi:10.1186/s12889-023-16926-8 · Cited by 32 · see citing works
Alkabbani, W., CROMER, S. J., Kim, D. H., Paik, J. M., Bykov, K., Munshi, M. N., Wexler, D. J., & Patorno, E. (2025) · Diabetes Care · doi:10.2337/dca25-0006 · Cited by 28 · see citing works
Pan, C.-C., De Santis, K. K., Muellmann, S., Hoffmann, S., Spallek, J., Barnils, N. P., Ahrens, W., Zeeb, H., & Schüz, B. (2025) · Journal of Prevention · doi:10.1007/s10935-024-00821-y · Cited by 23 · see citing works
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Impact of Using Smartphone While Walking or Standing: A Study Focused on Age and Cognition
Lino, T. B., Scarmagnan, G. S., Sobrinho, S. A., Tessari, G. M. F., Gonçalves, G. H., Pereira, H. M., & Christofoletti, G. (2023) · Brain Sciences · doi:10.3390/brainsci13070987 · Cited by 17 · see citing works
Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention
Hughes, A. M., Taylor, D. J., Morris, P. D., & Brittain, E. L. (2026) · European Heart Journal · doi:10.1093/eurheartj/ehag189 · Cited by 23 · see citing works
Cao, C., Dai, H., & Li, D. (2023) · Digital Health · doi:10.1177/20552076231197425 · Cited by 16 · see citing works
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Faro, J. M., Yue, K.-L. C., Singh, A. P., Soni, A., Ding, E., Shi, Q., & McManus, D. D. (2022) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2022.08.002 · Cited by 14 · see citing works
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Marra, C., Chico, T., Alexandrow, A. I., Dixon, W. G., Briffa, N. P., Rainaldi, E., Little, M. A., Size, K., Tsanas, A., Franklin, J. B., et al. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00223-1 · Cited by 14 · see citing works
Guo, E., He, S., & Zheng, L. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1578063 · Cited by 14 · see citing works
From intention to action: The factors affecting health data sharing intention and action
Kim, J., Im, E., & Kim, H. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105071 · Cited by 15 · see citing works
Gerber, S., Silver, R. E., Das, S. K., Greene, S. S., Dix, S. R., Ramirez, I., Morcos, C. L., Dao, M. C., Ceglia, L., & Roberts, S. B. (2024) · Nutrients · doi:10.3390/nu16070930 · Cited by 13 · see citing works
Moreira, J., Melo, A. S. C., Santos, R. S., & Sousa, A. S. P. (2022) · Sensors · doi:10.3390/s22218270 · Cited by 12 · see citing works
Health-Related Telemonitoring Parameters/Signals of Older Adults: An Umbrella Review
Félix, J., Moreira, J., Santos, R. S., Kontio, E., Pinheiro, A. R., & Sousa, A. S. P. (2023) · Sensors · doi:10.3390/s23020796 · Cited by 12 · see citing works
Identifying barriers and facilitators for using a smartwatch to monitor health among older adults
Alpert, J. M., Sharma, B., Cenko, E., Zapata, R., Karnati, Y., Fillingim, R. B., Gill, T. M., Marsiske, M., Ranka, S., & Manini, T. M. (2023) · Educational Gerontology · doi:10.1080/03601277.2023.2260970 · Cited by 11 · see citing works
Lazaridis, C., Bakogiannis, C., Mouselimis, D., Tsarouchas, A., Antoniadis, A. P., Triantafyllou, K., Fragakis, N., & Vassilikos, V. P. (2022) · Health Informatics Journal · doi:10.1177/14604582221139053 · Cited by 11 · see citing works
Rha, J., Nam, Y., Ahn, S. Y., Kim, J., Chang, Y., Jang, J., Kurita, K., Park, J., Eom, K., Moon, H., et al. (2022) · Digital Health · doi:10.1177/20552076221120319 · Cited by 11 · see citing works
Deguchi, N., Osuka, Y., Kojima, N., Motokawa, K., Iwasaki, M., Inagaki, H., Miyamae, F., Okamura, T., Hirano, H., Awata, S., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1261275 · Cited by 10 · see citing works
Nelson, E. C., Verhagen, T., Vollenbroek-Hutten, M. M. R., & Noordzij, M. L. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108314 · Cited by 10 · see citing works
Drake, A., Sassoon, I. K., Balatsoukas, P., Porat, T., Ashworth, M. J., Wright, E., Ćurčin, V., Chapman, M., Kökciyan, N., Modgil, S., et al. (2022) · Health Informatics Journal · doi:10.1177/14604582221102373 · Cited by 9 · see citing works
Zhang, H., Xu, J., Lu, X., & Xu, M. (2025) · Journal of Nursing Management · doi:10.1155/jonm/1278057 · Cited by 10 · see citing works
Pritwani, S., Pandey, S., Shrivastava, P., Kumar, A., Malhotra, R., Maddison, R., & Devasenapathy, N. (2023) · Disability and Rehabilitation · doi:10.1080/09638288.2023.2236012 · Cited by 8 · see citing works
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Manz, K., Krug, S., Kühnelt, C., Lemcke, J., Öztürk, I., & Loss, J. (2025) · JMIR mhealth and uhealth · doi:10.2196/59199 · Cited by 8 · see citing works
Lee, E. W. J., Tan, W. W., Pham, B. T. P., Kawaja, A., & Theng, Y. L. (2024) · JMIR Serious Games · doi:10.2196/47600 · Cited by 8 · see citing works
Theiler, K., Sola, J., Damianaki, A., Pfister, A., de Almeida, T. P., Alexandre, J., Vermare, P., & Wuerzner, G. (2023) · Blood Pressure · doi:10.1080/08037051.2023.2281320 · Cited by 8 · see citing works
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Jenhani, S., Gritli, H., & Narayan, J. (2024) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit62066.2024.10708186 · Cited by 6 · see citing works
Cai, J., Liu, B., Song, M., Wang, Q., & Zhou, L. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1566813 · Cited by 5 · see citing works
Dong, Y., Reffat, R. M., & Liang, R. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107429 · Cited by 5 · see citing works
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Arzroomchilar, E. (2024) · Social Theory & Health · doi:10.1057/s41285-023-00202-1 · Cited by 6 · see citing works
Ramasawmy, M., Persson, D. R., Sunkersing, D., Gill, P. S., Khunti, K. K., Poole, L., Hanif, W., BLANDFORD, A. E., Sajid, M., Stevenson, F. A., et al. (2024) · JMIR Human Factors · doi:10.2196/57338 · Cited by 6 · see citing works
Gaffey, A. E., Hooker, S. A., Lampert, R., Gehi, A. K., & Rosman, L. (2025) · Current Cardiology Reports · doi:10.1007/s11886-025-02234-7 · Cited by 4 · see citing works
Zhang, L., Xie, Q., Qiu, S. S., Liu, M., You, F., & Zhao, X. (2025) · Digital Health · doi:10.1177/20552076251337948 · Cited by 6 · see citing works
Golna, C., Markakis, I. A., Tzavara, C. K., Golnas, P., Ntokou, A., & Souliotis, K. N. (2024) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2024.102729 · Cited by 4 · see citing works
König, L. M., Forbes, C. C., Busse, H., DeSmet, A., Szinay, D., Wan, J., Guo, Z., & Smit, E. S. (2025) · Obesity Reviews · doi:10.1111/obr.70057 · Cited by 6 · see citing works
Félix, J., Moreira, J., Pereira, S., Guedes, D. C., Sá, C., Santos, R. S., Faria, B. M., Kontio, E., Pinheiro, A. R., & de Sousa, A. P. (2026) · Discover Public Health · doi:10.1186/s12982-025-01271-5 · Cited by 3 · see citing works
Taborri, S., Renzi, E., Massimi, A., Improta, A., Simone, E. D., Giannetta, N., Panattoni, N., Dionisi, S., Muzio, M. D., & Amato, L. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106515 · Cited by 3 · see citing works
Boyle, L. D., Marty, B., Haugarvoll, K., Steihaug, O. M., Pătraşcu, M., & Husebo, B. S. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104781 · Cited by 4 · see citing works
Ren, T., & Yu, J. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105634 · Cited by 3 · see citing works
Fairfax, F. G. (2025) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-025-02342-8 · Cited by 2 · see citing works
How Electronic Word of Mouth (eWOM) and Trust Affect Customers’ Intention
Alharbi, R. K., Alsaker, G., Haimi, N. A. B. R., & Mohammed, A. (2022) · Springer eBooks · doi:10.1007/978-981-19-6509-8_10 · Cited by 2 · see citing works
Onyekwere, A. O., Okobi, O. E., Ifiora, F. C., Akinboro, M. K., Akueme, N. T., Iroro, J., Dan-Eleberi, A. O., Onyeaka, F. C., & Ghansah, A. A. (2023) · Cureus · doi:10.7759/cureus.44289 · Cited by 2 · see citing works
Bao, H., Lee, Z. Y., Lee, G., & Lee, E. W. J. (2026) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-026-00601-x · Cited by 1 · see citing works
Ali, N. M., Zuki, M. A. M., Othman, S., Alhalaseh, L., & Al-Salaymeh, A. (2026) · Journal of Advances in Information Technology · doi:10.12720/jait.17.4.648-662 · Cited by 1 · see citing works
Examining the Use of Wearable Health Devices for Tracking Physical Activity in Elderly Populations
Kayani, A., Sajid, I., Azfar, H., Habiba, U., Zafar, I., & Masood, R. (2024) · Allied Medical Research Journal · doi:10.59564/amrj/02.01/006 · Cited by 1 · see citing works
Eversdijk, M., Douma, E. R., Habibović, M., & Kop, W. J. (2024) · JMIR Formative Research · doi:10.2196/64244 · Cited by 2 · see citing works
Requirement Analysis for a Daily Stress Detection System Using Smart EarphonePreprint
Lu, P., & Liang Ma, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4687329 · Cited by 1 · see citing works
Ramasawmy, M., Persson, D. R., Sunkersing, D., Gill, P. S., Khunti, K. K., Poole, L., Hanif, W., BLANDFORD, A. E., Sajid, M., Stevenson, F. A., et al. (2024) · doi:10.2196/preprints.57338 · Cited by 1 · see citing works
A scoping review of artificial intelligence-enabled wearables for medication adherence
Chen, Y., Zhao, H., Xu, R., Li, Y., Cai, S., & Hu, Y. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03246-5
Zhang, B.-Y., Liu, H., & Song, Y. (2023) · International Conference on Control, Automation and Robotics (ICCAR) · doi:10.1109/iccar57134.2023.10151751
Wearables und Apps für Pflegebedürftige
Fotteler, M., & Holl, F. (2024) · Springer eBooks · doi:10.1007/978-3-662-67914-2_8
Wearable Health Monitoring System Based on One-Dimensional Block Matching Algorithm
Sun, J. (2024) · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) · doi:10.1109/icdcece60827.2024.10549510
Veteran Preferences and Willingness to Share Patient-Generated Health Data
Hogan, T. P., Etingen, B., Zocchi, M. S., Bixler, F. R., McMahon, N., Patrianakos, J. L., Robinson, S. A., Newton, T., Shah, N., Frisbee, K. L., et al. (2024) · Journal of General Internal Medicine · doi:10.1007/s11606-024-09095-w
Cardiovascular Measures for Social and Behavioral Research
Carey, M. G. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009000796.021
The Current Status of Artificial Intelligence Technology in Elderly Home Care (Preprint)Preprint
Feng, H., Yin, X., Li, J., & Zhang, Z. (2024) · doi:10.2196/preprints.70184 · Cited by 1 · see citing works
Hinakura, K., Sakurai, R., Sasai, H., Ogawa, S., Seino, S., Hata, T., Fujiwara, Y., & Awata, S. (2025) · Sage Open Aging · doi:10.1177/23337214251314172
Lau, B. H. P., Shum, E. N.-Y., & Yoon, J. (2025) · Journal of Applied Gerontology · doi:10.1177/07334648251349907
Role of Artificial Intelligence (AI) in Family Medicine
Shahin, D., Sostorecz, S., Shariff, A., Ng-Pellegrino, A., & Goodbred, A. (2025) · Artificial intelligence · doi:10.5772/intechopen.1012619
The Role of Technology in the Self-Care of Older People
Bahramnezhad, F., & Khanipour-Kencha, A. (2025) · Springer eBooks · doi:10.1007/978-981-96-9021-3_6
Kinoshita, S., Furukawa, S., Ikkatai, Y., & Yokoyama, H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2596861
Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W., & Denkinger, M. (2024) · Figshare · doi:10.6084/m9.figshare.26626870
Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W., & Denkinger, M. (2024) · Figshare · doi:10.6084/m9.figshare.26626867
Additional file 1 of Acceptability of virtual reality to screen for dementia in older adults
Siette, J., Adam, P. J., & Harris, C. B. (2024) · Figshare · doi:10.6084/m9.figshare.26729917
Cai, M., Gao, K., Luo, X., & Wu, M. (2026) · Data Science and Informetrics · doi:10.1016/j.dsim.2026.01.003
Wood, K. V., Moore, A., Ahmad, M., & Bostanci, D. N. (2026) · Digital Health · doi:10.1177/20552076261435829
Schillaci, C., Mertoli, F., Benvenuto, M., Pipoli, M., Virgillito, D., & Piper, L. (2026) · MECOSAN · doi:10.3280/mesa2025-134oa22030
Examining the Decision to Take a Dementia Risk Test: Considerations for Privacy in Screening At-Home
Reed, A. S., Hooyman, A., Lee, N. M., Fauth, E. B., Love, J., Adamo, D. E., & Schaefer, S. Y. (2026) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000552767
Alkouri, O. A., Alrida, N. A., Al-Bashaireh, A. M., Alrayssi, M., Aldhanhani, S., Alyammahi, N., Shaban, L., Alblooshi, R., Albastaki, G., Hani, S. B., et al. (2026) · Public Health Nursing · doi:10.1111/phn.70146
A Review of Barriers to the Adoption of Wearable Devices in Healthcare
Ali, K., & Khan, M. J. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-24807-7_9
Liu, X., Yiwei, L. I., Yuan, Y., TingTing, R. U. A. N., Liang, R., Jian, R., Ding, H., Cai, T., & Jia, Y. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-15136-3
Sun, J., Dong, Y., Boliboun, J., Koo, K., Cui, M. X., Rizzo, V. M., & Rowe, J. M. (2026) · Innovation in Aging · doi:10.1093/geroni/igag083
Li, C., Zheng, C., & Lv, Z. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1847810
Kalu, M. E., Kumapayi, P. T., Prashar, M., Onyekere, C. P., Ojembe, B. U., Ameri, S. K., & Cyrus, E. (2026) · AI & Society · doi:10.1007/s00146-026-03241-0
Morenci, M., Iovanovici, D. C., Nistor-Cseppento, C. D., Tirla, S., Karetka, A. J., Mihuț, R. G., Tiboldi, Á., Lichtenegger, L., Bondar, L. I., & Jurca, T. (2026) · Medicina · doi:10.3390/medicina62081607
Ojo, E. O., Loerzel, V. W., Ng, B. P., Xie, R., & Thiamwong, L. (2026) · Journal of Gerontological Nursing · doi:10.3928/00989134-20260817-01
Older Adults Perceptions of Data Privacy in Smart Technologies: A Qualitative Study
Rowe, J. M., Guthrie, D. D., Zhou, J., & Yin, R. (2026) · Sage Open Aging · doi:10.1177/30495334261481859
Man, S. S., Su, P., So, B. C. L., & Ng, S. S. M. (2026) · Ergonomics · doi:10.1080/00140139.2026.2738046
Guo, F., Zhang, J., Zhang, Z., Wang, Z., Cao, Y., Huang, T., Yin, W., Chen, Z., Hu, J., & Guo, H. (2026) · Digital Health · doi:10.1177/20552076261500366
- Authors
- Chandrasekaran, R., Katthula, V., & Moustakas, E.
- Affiliations
- University of Illinois Chicago (US)
- Middlesex University Dubai (AE)
- Corresponding author
- Chandrasekaran, Ranganathan
- Venue
- Health Informatics Journal
- Publisher
- SAGE Publications
- Published
- 2021-10
- Volume
- 27
- Issue
- 4
- Pages
- 14604582211058073-14604582211058073
- ISSN
- 1355-4743 (ISSN-L)
- 1460-4582
- 1741-2811
- OpenAlex
- W3215123716
- Cited by
- 90
- References
- 57
- Citations by year
- 2026: 21 · 2025: 18 · 2024: 24 · 2023: 16 · 2022: 11
- FWCI
- 20.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Health Informatics Journal (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Middlesex University Research Repository (Middlesex University Of London) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- wearable healthcare devices, older adults, technology self-efficacy, health data sharing, health conditions, gender differences, race and ethnicity, online health information seeking, exercise attitudes, health information technology adoption
- MeSH terms
- Wearable Electronic Devices, Sociodemographic Factors, Aged, Delivery of Health Care, Humans, Male, Surveys and Questionnaires, Technology
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