Published on in Vol 4 , No 1 (2016) :Jan-Mar

Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation

Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation

Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation

Journals

  1. Rossi A, Frechette L, Miller D, Miller E, Friel C, Van Arsdale A, Lin J, Shankar V, Kuo D, Nevadunsky N. Acceptability and feasibility of a Fitbit physical activity monitor for endometrial cancer survivors. Gynecologic Oncology 2018;149(3):470 View
  2. Shin G, Jarrahi M, Fei Y, Karami A, Gafinowitz N, Byun A, Lu X. Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics 2019;93:103153 View
  3. Hardcastle S, Hince D, Jiménez-Castuera R, Boyle T, Cavalheri V, Makin G, Tan P, Salfinger S, Tan J, Mohan G, Levitt M, Cohen P, Saunders C, Platell C. Promoting physical activity in regional and remote cancer survivors (PPARCS) using wearables and health coaching: randomised controlled trial protocol. BMJ Open 2019;9(5):e028369 View
  4. Shin G, Feng Y, Jarrahi M, Gafinowitz N. Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use. JAMIA Open 2019;2(1):62 View
  5. 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
  6. Sriram U, Sandreuter K, Graham M, Folta S, Pullyblank K, Paul L, Seguin R. Process Evaluation of Strong Hearts, Healthy Communities: A Rural Community-Based Cardiovascular Disease Prevention Program. Journal of Nutrition Education and Behavior 2019;51(2):138 View
  7. Kiehl Z, Durkee K, Halverson K, Christensen J, Hellstern G. Transforming work through human sensing: a confined space monitoring application. Structural Health Monitoring 2020;19(1):186 View
  8. 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
  9. Chang R, Lu H, Yang P, Luarn P. Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors. JMIR mHealth and uHealth 2016;4(3):e84 View
  10. Somayaji D, Blok A, Hayman L, Colson Y, Jaklisch M, Cooley M. Enhancing behavioral change among lung cancer survivors participating in a lifestyle risk reduction intervention: a qualitative study. Supportive Care in Cancer 2019;27(4):1299 View
  11. Janevic M, Shute V, Murphy S, Piette J. Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults. Pain Medicine 2020;21(2):e68 View
  12. Hong E, Jakacic A, Sahoo A, Breyman E, Ukegbu G, Tabacof L, Sachs D, Migliaccio J, Phipps C, Schwartz J, Capasso M, Carpenter M, Putrino D. Use of Fitbit Technology Does Not Impact Health Biometrics in a Community of Older Adults. Telemedicine and e-Health 2021;27(4):409 View
  13. 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
  14. Haveman M, Kleiss S, Ma K, Vos C, Ünlü Ç, Schuurmann R, Bokkers R, Hermens H, De Vries J. Telemedicine in patients with peripheral arterial disease: is it worth the effort?. Expert Review of Medical Devices 2019;16(9):777 View
  15. 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 2020:1 View
  16. Liang J, Xian D, Liu X, Fu J, Zhang X, Tang B, Lei J. Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation. JMIR mHealth and uHealth 2018;6(11):e11066 View
  17. Kekade S, Hseieh C, Islam M, Atique S, Mohammed Khalfan A, Li Y, Abdul S. The usefulness and actual use of wearable devices among the elderly population. Computer Methods and Programs in Biomedicine 2018;153:137 View
  18. Nayak S, Guo T, Lopez-Rios J, Lentz C, Arumugam S, Hughes J, Dolezal C, Linder V, Carballo-Diéguez A, Balán I, Sia S. Integrating user behavior with engineering design of point-of-care diagnostic devices: theoretical framework and empirical findings. Lab on a Chip 2019;19(13):2241 View
  19. Falck R, Best J, Li L, Chan P, Feehan L, Liu-Ambrose T. Can we improve cognitive function among adults with osteoarthritis by increasing moderate-to-vigorous physical activity and reducing sedentary behaviour? Secondary analysis of the MONITOR-OA study. BMC Musculoskeletal Disorders 2018;19(1) View
  20. Sullivan A, Lachman M. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4 View
  21. Lyons E, Swartz M, Lewis Z, Martinez E, Jennings K. Feasibility and Acceptability of a Wearable Technology Physical Activity Intervention With Telephone Counseling for Mid-Aged and Older Adults: A Randomized Controlled Pilot Trial. JMIR mHealth and uHealth 2017;5(3):e28 View
  22. Didžiokaitė G, Saukko P, Greiffenhagen C. The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media & Society 2018;20(4):1470 View
  23. Osborn C, van Ginkel J, Marrero D, Rodbard D, Huddleston B, Dachis J. One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care. JMIR mHealth and uHealth 2017;5(11):e179 View
  24. Delrieu L, Pérol O, Fervers B, Friedenreich C, Vallance J, Febvey-Combes O, Pérol D, Canada B, Roitmann E, Dufresne A, Bachelot T, Heudel P, Trédan O, Touillaud M, Pialoux V. A Personalized Physical Activity Program With Activity Trackers and a Mobile Phone App for Patients With Metastatic Breast Cancer: Protocol for a Single-Arm Feasibility Trial. JMIR Research Protocols 2018;7(8):e10487 View
  25. Swartz M, Lewis Z, Swartz M, Martinez E, Lyons E. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2019;38(7):1023 View
  26. Dehghani A, Dehghan Nayeri N, Ebadi A. Features of Coping with Disease in Iranian Multiple Sclerosis Patients: a Qualitative Study. Journal of Caring Sciences 2018;7(1):35 View
  27. von Storch K, Schlomann A, Rietz C, Polidori M, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):791 View
  28. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725 View
  29. Wu K, Gregory T, Lastinger M, Murrow J, Tse Z. Magnetohydrodynamic Voltage Recorder for Comparing Peripheral Blood Flow. Annals of Biomedical Engineering 2017;45(10):2298 View
  30. 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
  31. Careyva B, Hamadani R, Friel T, Coyne C. A Social Needs Assessment Tool for an Urban Latino Population. Journal of Community Health 2018;43(1):137 View
  32. McMahon S, Lewis B, Oakes M, Guan W, Wyman J, Rothman A. Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity. JMIR mHealth and uHealth 2016;4(2):e35 View
  33. Gualtieri L, Rosenbluth S, Phillips J. Can a Free Wearable Activity Tracker Change Behavior? The Impact of Trackers on Adults in a Physician-Led Wellness Group. JMIR Research Protocols 2016;5(4):e237 View
  34. Ridgers N, Timperio A, Brown H, Ball K, Macfarlane S, Lai S, Richards K, Mackintosh K, McNarry M, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86 View
  35. Brys A, Bossola M, Lenaert B, Biamonte F, Gambaro G, Di Stasio E. Daily physical activity in patients on chronic haemodialysis and its relation with fatigue and depressive symptoms. International Urology and Nephrology 2020;52(10):1959 View
  36. Panda N, Solsky I, Huang E, Lipsitz S, Pradarelli J, Delisle M, Cusack J, Gadd M, Lubitz C, Mullen J, Qadan M, Smith B, Specht M, Stephen A, Tanabe K, Gawande A, Onnela J, Haynes A. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surgery 2020;155(2):123 View
  37. Mettler T, Wulf J, Useche S. Health promotion with physiolytics: What is driving people to subscribe in a data-driven health plan. PLOS ONE 2020;15(4):e0231705 View
  38. Mardonova M, Choi Y. Review of Wearable Device Technology and Its Applications to the Mining Industry. Energies 2018;11(3):547 View
  39. 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
  40. 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
  41. Rodríguez I, Cajamarca G, Herskovic V, Fuentes C, Campos M. Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces. Mobile Information Systems 2017;2017:1 View
  42. Lewis Z, Ottenbacher K, Fisher S, Jennings K, Brown A, Swartz M, Martinez E, Lyons E. The feasibility and RE-AIM evaluation of the TAME health pilot study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  43. 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
  44. Vaziri D, Giannouli E, Frisiello A, Kaartinen N, Wieching R, Schreiber D, Wulf V. Exploring influencing factors of technology use for active and healthy ageing support in older adults. Behaviour & Information Technology 2020;39(9):1011 View
  45. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51 View
  46. Phillips S, Cadmus-Bertram L, Rosenberg D, Buman M, Lynch B. Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges. American Journal of Preventive Medicine 2018;54(1):144 View
  47. Naszay M, Stockinger A, Jungwirth D, Haluza D. Digital age and the Public eHealth perspective: Prevailing health app use among Austrian Internet users. Informatics for Health and Social Care 2018;43(4):390 View
  48. Hassan L, Swarbrick C, Sanders C, Parker A, Machin M, Tully M, Ainsworth J. Tea, talk and technology: patient and public involvement to improve connected health ‘wearables’ research in dementia. Research Involvement and Engagement 2017;3(1) View
  49. Leth S, Hansen J, Nielsen O, Dinesen B. Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I. Sensors 2017;17(12):211 View
  50. Shingler E, Hackshaw-McGeagh L, Robles L, Persad R, Koupparis A, Rowe E, Shiridzinomwa C, Bahl A, Martin R, Lane J. The feasibility of the Prostate cancer: Evidence of Exercise and Nutrition Trial (PrEvENT) dietary and physical activity modifications: a qualitative study. Trials 2017;18(1) View
  51. 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
  52. Perry B, Geoghegan C, Lin L, McGuire F, Nido V, Grabert B, Morin S, Hallinan Z, Corneli A. Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications 2019;15:100399 View
  53. Kim Y, Seo J, An S, Sinn D, Hwang J. Efficacy and Safety of an mHealth App and Wearable Device in Physical Performance for Patients With Hepatocellular Carcinoma: Development and Usability Study. JMIR mHealth and uHealth 2020;8(3):e14435 View
  54. Nguyen N, Hadgraft N, Moore M, Rosenberg D, Lynch C, Reeves M, Lynch B. A qualitative evaluation of breast cancer survivors’ acceptance of and preferences for consumer wearable technology activity trackers. Supportive Care in Cancer 2017;25(11):3375 View
  55. Liew M, Zhang J, See J, Ong Y. Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers. JMIR mHealth and uHealth 2019;7(1):e12160 View
  56. Katz S, Marshall B. Tracked and fit: FitBits, brain games, and the quantified aging body. Journal of Aging Studies 2018;45:63 View
  57. Koo S. Design factors and preferences in wearable soft robots for movement disabilities. International Journal of Clothing Science and Technology 2018;30(4):477 View
  58. Steinert A, Haesner M, Steinhagen-Thiessen E. Activity-tracking devices for older adults: comparison and preferences. Universal Access in the Information Society 2018;17(2):411 View
  59. Maganja S, Clarke D, Lear S, Mackey D. Formative Evaluation of Consumer-Grade Activity Monitors Worn by Older Adults: Test-Retest Reliability and Criterion Validity of Step Counts. JMIR Formative Research 2020;4(8):e16537 View
  60. Kim B, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69 View
  61. Floegel T, Allen K, Buman M. A pilot study examining activity monitor use in older adults with heart failure during and after hospitalization. Geriatric Nursing 2019;40(2):185 View
  62. Jia Y, Wang W, Wen D, Liang L, Gao L, Lei J. Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ 2018;6:e5350 View
  63. Woolley S, Collins T, Mitchell J, Fredericks D. Investigation of wearable health tracker version updates. BMJ Health & Care Informatics 2019;26(1):e100083 View
  64. Cajita M, Hodgson N, Lam K, Yoo S, Han H. Facilitators of and Barriers to mHealth Adoption in Older Adults With Heart Failure. CIN: Computers, Informatics, Nursing 2018;36(8):376 View
  65. Benson L, Clermont C, Bošnjak E, Ferber R. The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review. Gait & Posture 2018;63:124 View
  66. Jang J, Kim J. Healthier Life with Digital Companions: Effects of Reflection-Level and Statement-Type of Messages on Behavior Change via a Perceived Companion. International Journal of Human–Computer Interaction 2020;36(2):172 View
  67. Abrantes A, Blevins C, Battle C, Read J, Gordon A, Stein M. Developing a Fitbit-supported lifestyle physical activity intervention for depressed alcohol dependent women. Journal of Substance Abuse Treatment 2017;80:88 View
  68. Najm A, Lempp H, Gossec L, Berenbaum F, Nikiphorou E. Needs, Experiences, and Views of People With Rheumatic and Musculoskeletal Diseases on Self-Management Mobile Health Apps: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(4):e14351 View
  69. Batsis J, Naslund J, Gill L, Masutani R, Agarwal N, Bartels S. Use of a Wearable Activity Device in Rural Older Obese Adults. Gerontology and Geriatric Medicine 2016;2:233372141667807 View
  70. Godfrey A. Wearables for independent living in older adults: Gait and falls. Maturitas 2017;100:16 View
  71. Lee B, Xie J, Ajisafe T, Kim S. How Are Wearable Activity Trackers Adopted in Older Adults? Comparison between Subjective Adoption Attitudes and Physical Activity Performance. International Journal of Environmental Research and Public Health 2020;17(10):3461 View
  72. Silva A, Simões P, Santos R, Queirós A, Rocha N, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829 View
  73. 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
  74. 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
  75. Breteler M, Janssen J, Spiering W, Kalkman C, van Solinge W, Dohmen D. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489 View
  76. Tedesco S, Barton J, O’Flynn B. A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277 View
  77. 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
  78. Henriksen A, Haugen Mikalsen M, Woldaregay A, Muzny M, Hartvigsen G, Hopstock L, Grimsgaard S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. Journal of Medical Internet Research 2018;20(3):e110 View
  79. Periyaswamy T, Balasubramanian M. Ambulatory cardiac bio-signals: From mirage to clinical reality through a decade of progress. International Journal of Medical Informatics 2019;130:103928 View
  80. 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
  81. Jonkman N, van Schooten K, Maier A, Pijnappels M. eHealth interventions to promote objectively measured physical activity in community-dwelling older people. Maturitas 2018;113:32 View
  82. Carrasco J, Pérez-Alenda S, Casaña J, Soria-Olivas E, Bonanad S, Querol F. Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia. International Journal of Environmental Research and Public Health 2019;16(20):3851 View
  83. Müller J, Hoch A, Zoller V, Oberhoffer R. Feasibility of Physical Activity Assessment with Wearable Devices in Children Aged 4–10 Years—A Pilot Study. Frontiers in Pediatrics 2018;6 View
  84. Lynn R, Pfitzer R, Rogers R, Ballmann C, Williams T, Marshall M. Step-Counting Validity of Wrist-Worn Activity Monitors During Activities With Fixed Upper Extremities. Journal for the Measurement of Physical Behaviour 2020;3(3):197 View
  85. Salmon J, Ridgers N. Is wearable technology an activity motivator, or a fad that wears thin?. Medical Journal of Australia 2017;206(3):119 View
  86. 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
  87. 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
  88. Heinemann M, Welker S, Holz F, Finger R. Physische Aktivität bei älteren Menschen mit Augenerkrankungen. Der Ophthalmologe 2019;116(4):351 View
  89. Reyes-Mercado P. Adoption of fitness wearables. Journal of Systems and Information Technology 2018;20(1):103 View
  90. Lamont R, Daniel H, Payne C, Brauer S. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait & Posture 2018;63:104 View
  91. Masterson Creber R, Hickey K, Maurer M. Gerontechnologies for Older Patients with Heart Failure: What is the Role of Smartphones, Tablets, and Remote Monitoring Devices in Improving Symptom Monitoring and Self-Care Management?. Current Cardiovascular Risk Reports 2016;10(10) View
  92. Puri A, Kim B, Nguyen O, Stolee P, Tung J, Lee J. User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study. JMIR mHealth and uHealth 2017;5(11):e173 View
  93. Wieringa F, Broers N, Kooman J, Van Der Sande F, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505 View
  94. 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
  95. Celic L, Magjarevic R. Seamless connectivity architecture and methods for IoT and wearable devices. Automatika 2020;61(1):21 View
  96. Lerma N, Cho C, Swartz A, Maeda H, Cho Y, Strath S. Acceptance and Feasibility of Seated Elliptical Pedaling to Replace Sedentary Behavior in Older Adults. Journal of Aging and Physical Activity 2020;28(6):844 View
  97. 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
  98. Sharaievska I, Battista R, Zwetsloot J. Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach. JMIR Pediatrics and Parenting 2019;2(1):e10658 View
  99. Chow H, Yang C. Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults: Validation and Comparison Study. JMIR mHealth and uHealth 2020;8(4):e14707 View
  100. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41 View
  101. Mercer K, Li M, Giangregorio L, Burns C, Grindrod K. Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis. JMIR mHealth and uHealth 2016;4(2):e40 View
  102. Madigan E. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2019;25(3):676 View
  103. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
  104. 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
  105. Sahu K, Oetomo A, Morita P. Enabling Remote Patient Monitoring Through the Use of Smart Thermostat Data in Canada: Exploratory Study. JMIR mHealth and uHealth 2020;8(11):e21016 View
  106. 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 2020:1 View
  107. 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
  108. Egger S, Knorr M, Bobes J, Bernstein A, Seifritz E, Vetter S. Real-Time Assessment of Stress and Stress Response Using Digital Phenotyping: A Study Protocol. Frontiers in Digital Health 2020;2 View
  109. Zytnick D, Kumar G, Folta S, Reid K, Tybor D, Chomitz V. Wearable Activity Monitor Use Is Associated With the Aerobic Physical Activity Guidelines and Walking Among Older Adults. American Journal of Health Promotion 2021;35(5):679 View
  110. Collazo C, González Santos J, González Bernal J, Cubo E. Estado sobre la situación del uso y utilidades potenciales de las nuevas tecnologías para medir actividad física. Revisión sistemática de la literatura. Atención Primaria Práctica 2020;2(6):100064 View
  111. 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
  112. de Boer P, van Deursen A, van Rompay T. Internet-of-Things Skills Among the General Population: Task-Based Performance Test Using Activity Trackers. JMIR Human Factors 2020;7(4):e22532 View
  113. Brickwood K, Ahuja K, Watson G, O'Brien J, Williams A. Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e18686 View
  114. Clubbs B, Gray N, Madlock P. Using the theory of planned behavior and the technology acceptance model to analyze a university employee fitness tracker program with financial incentive. Journal of Communication in Healthcare 2021;14(2):149 View
  115. Robinson A, Oksuz U, Slight R, Slight S, Husband A. Digital and Mobile Technologies to Promote Physical Health Behavior Change and Provide Psychological Support for Patients Undergoing Elective Surgery: Meta-Ethnography and Systematic Review. JMIR mHealth and uHealth 2020;8(12):e19237 View
  116. Robertson M, Green C, Liao Y, Durand C, Basen-Engquist K. Self-efficacy and Physical Activity in Overweight and Obese Adults Participating in a Worksite Weight Loss Intervention: Multistate Modeling of Wearable Device Data. Cancer Epidemiology Biomarkers & Prevention 2020;29(4):769 View
  117. Clark M, Clark T, Bhatti A, Aungst T. The Rise of Digital Health and Potential Implications for Pharmacy Practice. Journal of Contemporary Pharmacy Practice 2017;64(1):32 View
  118. Twomey R, Culos-Reed S, Daun J, Ferber R, Dort J. Wearable activity trackers and mobilization after major head and neck cancer surgery: You can't improve what you don't measure. International Journal of Surgery 2020;84:120 View
  119. 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
  120. 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
  121. Chandrasekaran R, Katthula V, Moustakas E. Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey. Journal of Medical Internet Research 2020;22(10):e22443 View
  122. AlMahadin G, Lotfi A, Zysk E, Siena F, Carthy M, Breedon P. Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective. BMC Neurology 2020;20(1) View
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  124. 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
  125. Hakala S, Kivistö H, Paajanen T, Kankainen A, Anttila M, Heinonen A, Sjögren T. Effectiveness of Distance Technology in Promoting Physical Activity in Cardiovascular Disease Rehabilitation: Cluster Randomized Controlled Trial, A Pilot Study. JMIR Rehabilitation and Assistive Technologies 2021;8(2):e20299 View
  126. 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
  127. Cornelis N, Buys R, Dewit T, Benoit D, Claes J, Fourneau I, Cornelissen V. Satisfaction and Acceptability of Telemonitored Home-Based Exercise in Patients With Intermittent Claudication: Pragmatic Observational Pilot Study. JMIR Rehabilitation and Assistive Technologies 2021;8(1):e18739 View
  128. Khaksar S, Khosla R, Singaraju S, Slade B. Carer’s perception on social assistive technology acceptance and adoption: moderating effects of perceived risks. Behaviour & Information Technology 2021;40(4):337 View
  129. Keogh A, Taraldsen K, Caulfield B, Vereijken B. It’s not about the capture, it’s about what we can learn”: a qualitative study of experts’ opinions and experiences regarding the use of wearable sensors to measure gait and physical activity. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  130. McCormack C, Kehoe B, Hardcastle S, McCaffrey N, McCarren A, Gaine S, McCullagh B, Moyna N. Pulmonary hypertension and home-based (PHAHB) exercise intervention: protocol for a feasibility study. BMJ Open 2021;11(5):e045460 View
  131. Martinato M, Lorenzoni G, Zanchi T, Bergamin A, Buratin A, Azzolina D, Gregori D. Usability and Accuracy of a Smartwatch for the Assessment of Physical Activity in the Elderly Population: Observational Study. JMIR mHealth and uHealth 2021;9(5):e20966 View
  132. 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
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Books/Policy Documents

  1. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. View
  2. Sanchez-Romero J, Jimeno-Morenilla A, Mora H, Pujol-Lopez F. Research & Innovation Forum 2019. View
  3. Ginsburg G, Haga S. Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics. View
  4. Lazaro M, Lim J, Kim S, Yun M. Human Aspects of IT for the Aged Population. Technologies, Design and User Experience. View
  5. Tuccori M, Wallberg M. Pharmacovigilance. View
  6. Wetzels M, Liebregts J, Ayoola I, Peters P, Feijs L. Proceedings of the Conference on Design and Semantics of Form and Movement - Sense and Sensitivity, DeSForM 2017. View
  7. Schwartz M, Oppold P, Hancock P. Critical Issues Impacting Science, Technology, Society (STS), and Our Future. View
  8. Klebbe R, Steinert A, Buchem I, Müller-Werdan U. Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration. View
  9. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. View
  10. Rogers W, Blocker K, Dupuy L. The Cambridge Handbook of Cognitive Aging. View
  11. Fournier H, Kondratova I, Molyneaux H. HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. View
  12. Cruz-Sandoval D, Favela J, Lopez-Nava I, Morales A. IoT in Healthcare and Ambient Assisted Living. View
  13. . Fundamentals of IoT and Wearable Technology Design. View