Published on in Vol 7 , No 4 (2019) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9832, first published .
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

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

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

Journals

  1. Silveira S, Baird J, Motl R. Rates, patterns, and correlates of fitness tracker use among older adults with multiple sclerosis. Disability and Health Journal 2021;14(1):100966 View
  2. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis R, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674 View
  3. Lewis Z, Pritting L, Picazo A, JeanMarie-Tucker M. The utility of wearable fitness trackers and implications for increased engagement: An exploratory, mixed methods observational study. DIGITAL HEALTH 2020;6:205520761990005 View
  4. Lortz J, Simanovski J, Kuether T, Kreitschmann-Andermahr I, Ullrich G, Steinmetz M, Rammos C, Jánosi R, Moebus S, Rassaf T, Paldán K. Needs and Requirements in the Designing of Mobile Interventions for Patients With Peripheral Arterial Disease: Questionnaire Study. JMIR Formative Research 2020;4(8):e15669 View
  5. Liu J, Kor P, Chan C, Kwan R, Sze-Ki D. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics 2020;91:104211 View
  6. Brickwood K, Williams A, Watson G, O’Brien J. Older adults’ experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial. DIGITAL HEALTH 2020;6:205520762092167 View
  7. Maskeliūnas R, Damaševičius R, Segal S. A Review of Internet of Things Technologies for Ambient Assisted Living Environments. Future Internet 2019;11(12):259 View
  8. Mace R, Gates M, Bullard B, Lester E, Silverman I, Quiroz Y, Vranceanu A, Bowers B. Development of a Novel Mind–Body Activity and Pain Management Program for Older Adults With Cognitive Decline. The Gerontologist 2021;61(3):449 View
  9. Viriyavit W, Sornlertlamvanich V. Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention. Journal of Sensors 2020;2020:1 View
  10. Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223 View
  11. Li L, Peng W, Kononova A, Bowen M, Cotten S. Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers. Telemedicine and e-Health 2020;26(6):769 View
  12. Seifert A, Cotten S. In care and digitally savvy? Modern ICT use in long-term care institutions. Educational Gerontology 2020;46(8):473 View
  13. Ding E, Ensom E, Hafer N, Buchholz B, Picard M, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons T, McManus D. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58 View
  14. Haque A, Milstein A, Fei-Fei L. Illuminating the dark spaces of healthcare with ambient intelligence. Nature 2020;585(7824):193 View
  15. 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
  16. Chapie A, Arena S. Benefits and Barriers of Activity Trackers Among Older Adults. Home Healthcare Now 2020;38(3):165 View
  17. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  18. Rezvani F, Heider D, Härter M, König H, Bienert F, Brinkmann J, Herbarth L, Kramer E, Steinisch P, Freudenstein F, Terhalle R, Grosse Y, Bock S, Posselt J, Beutel C, Reif F, Kirchhoff F, Neuschwander C, Löffler F, Brunner L, Dickmeis P, Heidenthal T, Schmitz L, Chase D, Seelenmeyer C, Alscher M, Tegtbur U, Dirmaier J. Telephone health coaching with exercise monitoring using wearable activity trackers (TeGeCoach) for improving walking impairment in peripheral artery disease: study protocol for a randomised controlled trial and economic evaluation. BMJ Open 2020;10(6):e032146 View
  19. Pedell S, Borda A, Keirnan A, Aimers N. Combining the Digital, Social and Physical Layer to Create Age-Friendly Cities and Communities. International Journal of Environmental Research and Public Health 2021;18(1):325 View
  20. Lao C, Wang B, Wang R, Chang H. The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau. Medicina 2021;57(1):34 View
  21. 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
  22. Dunn M, Kappus M, Bloomer P, Duarte-Rojo A, Josbeno D, Jakicic J. Wearables, Physical Activity, and Exercise Testing in Liver Disease. Seminars in Liver Disease 2021;41(02):128 View
  23. Seo M, Kim Y, Jung H, Kim J, Lee J. Does Online Social Connectivity Promote Physical Activity in a Wearable Tracker-Based Intervention? A Pilot Randomized Controlled Study. Sustainability 2020;12(21):8803 View
  24. Yang H, Chen K, Hsu H. Motivation theory‐based physical activity programme for older adults in residential care facility: A modified Delphi and single‐group pretest‐posttest study. International Journal of Older People Nursing 2021;16(2) View
  25. Beach C, Casson A. Inertial Kinetic Energy Harvesters for Wearables: The Benefits of Energy Harvesting at the Foot. IEEE Access 2020;8:208136 View
  26. Mirzaei E, Azar F, Ziapour A, Azadi N, Qorbani M, Safari O, Mansourian M. The Impact of Educational Intervention Based on Theory of Planned Behavior for Promoting Physical Activity Among Middle-Aged Women Referring to Karaj (Iran) Health Centers. International Quarterly of Community Health Education 2021;41(4):419 View
  27. Peng W, Li L, Kononova A, Cotten S, Kamp K, Bowen M. Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study. JMIR mHealth and uHealth 2021;9(1):e22488 View
  28. Miller A, Wright T, Wright H, Thompson E, Pohlig R, Reisman D. Readiness to Change is Related to Real-World Walking and Depressive Symptoms in Chronic Stroke. Journal of Neurologic Physical Therapy 2021;45(1):28 View
  29. Hurley O. Sport Cyberpsychology in Action During the COVID-19 Pandemic (Opportunities, Challenges, and Future Possibilities): A Narrative Review. Frontiers in Psychology 2021;12 View
  30. Ferguson C, Hickman L, Turkmani S, Breen P, Gargiulo G, Inglis S. “Wearables only work on patients that wear them”: Barriers and facilitators to the adoption of wearable cardiac monitoring technologies. Cardiovascular Digital Health Journal 2021;2(2):137 View
  31. 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
  32. St Fleur R, St George S, Leite R, Kobayashi M, Agosto Y, Jake-Schoffman D. Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review. JMIR mHealth and uHealth 2021;9(5):e23411 View
  33. Valera Román A, Pato Martínez D, Lozano Murciego Á, Jiménez-Bravo D, de Paz J. Voice Assistant Application for Avoiding Sedentarism in Elderly People Based on IoT Technologies. Electronics 2021;10(8):980 View
  34. Strauss D, Davoodi N, Healy M, Metts C, Merchant R, Banskota S, Goldberg E. The Geriatric Acute and Post-Acute Fall Prevention Intervention (GAPcare) II to Assess the Use of the Apple Watch in Older Emergency Department Patients With Falls: Protocol for a Mixed Methods Study. JMIR Research Protocols 2021;10(4):e24455 View
  35. Suorsa K, Leskinen T, Pulakka A, Pentti J, Löyttyniemi E, Heinonen I, Vahtera J, Stenholm S, Newman A. The Effect of a Consumer-Based Activity Tracker Intervention on Accelerometer-Measured Sedentary Time Among Retirees: A Randomized Controlled REACT Trial. The Journals of Gerontology: Series A 2021 View
  36. Bian C, Ye B, Hoonakker A, Mihailidis A. Attitudes and perspectives of older adults on technologies for assessing frailty in home settings: a focus group study. BMC Geriatrics 2021;21(1) View
  37. 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
  38. 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
  39. Braakhuis H, Bussmann J, Ribbers G, Berger M. Wearable Activity Monitoring in Day-to-Day Stroke Care: A Promising Tool but Not Widely Used. Sensors 2021;21(12):4066 View
  40. Bardus M, Borgi C, El-Harakeh M, Gherbal T, Kharroubi S, Fares E. Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study. Sensors 2021;21(13):4472 View
  41. 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
  42. Leskinen T, Suorsa K, Tuominen M, Pulakka A, Pentti J, Löyttyniemi E, Heinonen I, Vahtera J, Stenholm S. The Effect of Consumer-based Activity Tracker Intervention on Physical Activity among Recent Retirees—An RCT Study. Medicine & Science in Sports & Exercise 2021;Publish Ahead of Print View
  43. Tan T, Badarch L, Zeng W, Gochoo M, Alnajjar F, Hsieh J. Binary Sensors-Based Privacy-Preserved Activity Recognition of Elderly Living Alone Using an RNN. Sensors 2021;21(16):5371 View
  44. Makarewicz A, Jamka M, Wasiewicz-Gajdzis M, Bajerska J, Miśkiewicz-Chotnicka A, Kwiecień J, Lisowska A, Gagnon D, Herzig K, Mądry E, Walkowiak J. Comparison of Subjective and Objective Methods to Measure the Physical Activity of Non-Depressed Middle-Aged Healthy Subjects with Normal Cognitive Function and Mild Cognitive Impairment—A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2021;18(15):8042 View

Books/Policy Documents

  1. Kari T, Sell A, Makkonen M, Wallin S, Walden P, Carlsson C, Frank L, Carlsson J. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  2. Sherwani S, Bates B. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  3. Cruz-Sandoval D, Favela J, Lopez-Nava I, Morales A. IoT in Healthcare and Ambient Assisted Living. View
  4. Whitbourne S. Reference Module in Neuroscience and Biobehavioral Psychology. View
  5. Lee Y. Examining the Socio-Technical Impact of Smart Cities. View