Published on in Vol 4, No 2 (2016): Apr-Jun

Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

Journals

  1. Jang M, Ahn S, Lee J, Rhee M, Chae D, Kim J, Shin M. Validity and Reliability of the Newly Developed Surface Electromyography Device for Measuring Muscle Activity during Voluntary Isometric Contraction. Computational and Mathematical Methods in Medicine 2018;2018:1 View
  2. 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
  3. Larsen R, Christensen J, Juhl C, Andersen H, Langberg H. Physical activity monitors to enhance amount of physical activity in older adults – a systematic review and meta-analysis. European Review of Aging and Physical Activity 2019;16(1) View
  4. 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
  5. 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
  6. Agri F, Hahnloser D, Demartines N, Hübner M. Gains and limitations of a connected tracking solution in the perioperative follow‐up of colorectal surgery patients. Colorectal Disease 2020;22(8):959 View
  7. 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
  8. MMller A, Blandford A, Yardley L. The Conceptualization of a Just-in-Time Adaptive Intervention (JITAI) for the Reduction of Sedentary Behavior in Older Adults. SSRN Electronic Journal 2017 View
  9. 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
  10. 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 2022;41(2):242 View
  11. Madigan E. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2019;25(3):676 View
  12. Manea V, Barrocal A, Wac K. Using consumer-friendly wearables to correlate patient and technology-reported physical activity in healthy seniors. Procedia Computer Science 2020;175:245 View
  13. 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
  14. 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
  15. Alharbi M, Straiton N, Smith S, Neubeck L, Gallagher R. Data management and wearables in older adults: A systematic review. Maturitas 2019;124:100 View
  16. Theile G, Klaas V, Tröster G, Guckenberger M. mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient’s Health Status. JMIR Research Protocols 2017;6(8):e142 View
  17. Koivisto J, Malik A, Heyn P. Gamification for Older Adults: A Systematic Literature Review. The Gerontologist 2021;61(7):e360 View
  18. Kowalska M, Gladys A, Kalanska B, Gruz-Kwapisz M, Wojakowski W, Jadczyk T. Readiness for voice technology in patients with cardiovascular diseases: a cross-sectional study (Preprint). Journal of Medical Internet Research 2020 View
  19. Glasheen E, Domingo A, Kressler J. Accuracy of Apple Watch fitness tracker for wheelchair use varies according to movement frequency and task. Annals of Physical and Rehabilitation Medicine 2021;64(1):101382 View
  20. Farina N, Sherlock G, Thomas S, Lowry R, Banerjee S. Acceptability and feasibility of wearing activity monitors in community‐dwelling older adults with dementia. International Journal of Geriatric Psychiatry 2019;34(4):617 View
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. Cadmus-Bertram L. Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know. The Journal for Nurse Practitioners 2017;13(1):34 View
  27. Abelson J, Kaufman E, Symer M, Peters A, Charlson M, Yeo H. Barriers and benefits to using mobile health technology after operation: A qualitative study. Surgery 2017;162(3):605 View
  28. 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
  29. Larsen R, Christensen J, Juhl C, Andersen H, Langberg H. Physical activity monitors to enhance the daily amount of physical activity in elderly—a protocol for a systematic review and meta-analysis. Systematic Reviews 2018;7(1) View
  30. McMahon S, Park Y, Lewis B, Guan W, Oakes J, Wyman J, Rothman A. Older Adults’ Utilization of Community Resources Targeting Fall Prevention and Physical Activity. The Gerontologist 2019;59(3):436 View
  31. 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
  32. Dugas M, Crowley K, Gao G, Xu T, Agarwal R, Kruglanski A, Steinle N, Barengo N. Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PLOS ONE 2018;13(3):e0192807 View
  33. Louie D, Bird M, Menon C, Eng J. Perspectives on the prospective development of stroke-specific lower extremity wearable monitoring technology: a qualitative focus group study with physical therapists and individuals with stroke. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
  34. 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
  35. 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
  36. Farina N, Lowry R. Older adults’ satisfaction of wearing consumer-level activity monitors. Journal of Rehabilitation and Assistive Technologies Engineering 2017;4:205566831773325 View
  37. Detmer M, Kern P, Jacobi-Vessels J, King K. Intergenerational Music Therapy: Effects on Literacy, Physical Functioning, Self-Worth, and Interactions. Journal of Intergenerational Relationships 2020;18(2):175 View
  38. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41 View
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. Abelson J, Symer M, Peters A, Charlson M, Yeo H. Mobile health apps and recovery after surgery: What are patients willing to do?. The American Journal of Surgery 2017;214(4):616 View
  46. 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
  47. Seifert A, Schlomann A, Rietz C, Schelling H. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008 View
  48. Kressler J, Koeplin-Day J, Muendle B, Rosby B, Santo E, Domingo A, Jan Y. Accuracy and precision of consumer-level activity monitors for stroke detection during wheelchair propulsion and arm ergometry. PLOS ONE 2018;13(2):e0191556 View
  49. Manea V, Wac K. Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine 2020;10(4):203 View
  50. 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
  51. 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
  52. 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
  53. Epstein D, Caldeira C, Figueiredo M, Lu X, Silva L, Williams L, Lee J, Li Q, Ahuja S, Chen Q, Dowlatyari P, Hilby C, Sultana S, Eikey E, Chen Y. Mapping and Taking Stock of the Personal Informatics Literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(4):1 View
  54. Jaana M, Paré G. Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey. JMIR mHealth and uHealth 2020;8(11):e24718 View
  55. 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
  56. Huynh B, Barrett J, Joachim A, Smith D, Stafford L, Abbott D, Alagoz E. Patient and provider perceptions on utilizing a mobile technology platform to improve surgical outcomes in the perioperative setting. Journal of Surgical Oncology 2021;123(5):1353 View
  57. 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
  58. Peters D, O’Brien E, Kamrud K, Roberts S, Rooney T, Thibodeau K, Balakrishnan S, Gell N, Mohapatra S. Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  59. Schorr E, Gepner A, Dolansky M, Forman D, Park L, Petersen K, Still C, Wang T, Wenger N. Harnessing Mobile Health Technology for Secondary Cardiovascular Disease Prevention in Older Adults: A Scientific Statement From the American Heart Association. Circulation: Cardiovascular Quality and Outcomes 2021;14(5) View
  60. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171 View
  61. Felberbaum Y, Lanir J, Weiss P. Designing Mobile Health Applications to Support Walking for Older Adults. International Journal of Environmental Research and Public Health 2023;20(4):3611 View
  62. Joshi R, Joseph A, Mihandoust S, Madathil K, Cotten S. A mobile application-based home assessment tool for patients undergoing joint replacement surgery: A qualitative feasibility study. Applied Ergonomics 2022;103:103796 View
  63. Vanzella L, Ghisi G, Colella T, Larkin J, Vanderlei L, Marzolini S, Thomas S, Oh P. Physical Activity Level and Perspectives of Participants Transitioning from Onsite to Virtual Cardiac Rehabilitation during the Early COVID-19 Pandemic: A Mixed-Method Study. Journal of Clinical Medicine 2022;11(16):4838 View
  64. 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
  65. Frodi D, Manea V, Diederichsen S, Svendsen J, Wac K, Andersen T. Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study. Journal of Personalized Medicine 2022;12(6):942 View
  66. Fioranzato M, Comoretto R, Lanera C, Pressato L, Palmisano G, Barbacane L, Gregori D. Improving Healthy Aging by Monitoring Patients’ Lifestyle through a Wearable Device: Results of a Feasibility Study. International Journal of Environmental Research and Public Health 2021;18(18):9806 View
  67. AlSwayied G, Guo H, Rookes T, Frost R, Hamilton F. Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature. JMIR mHealth and uHealth 2022;10(12):e40271 View
  68. Liu J, Kwan R, Yin Y, Lee P, Siu J, Bai X. Enhancing the Physical Activity Levels of Frail Older Adults with a Wearable Activity Tracker-Based Exercise Intervention: A Pilot Cluster Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2021;18(19):10344 View
  69. Picerno P, Iosa M, D’Souza C, Benedetti M, Paolucci S, Morone G. Wearable inertial sensors for human movement analysis: a five-year update. Expert Review of Medical Devices 2021;18(sup1):79 View
  70. Ehn M, Derneborg M, Revenäs Å, Cicchetti A. User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health: A study on support systems for seniors’ physical activity. International Journal of Medical Informatics 2021;154:104547 View
  71. Li M, McPhillips M, Szanton S, Wenzel J, Li J, Xie B. Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study. Work, Aging and Retirement 2024;10(1):25 View
  72. de la Casa Pérez A, Latorre Román P, Muñoz Jiménez M, Lucena Zurita M, Laredo Aguilera J, Párraga Montilla J, Cabrera Linares J. Is the Xiaomi Mi Band 4 an Accuracy Tool for Measuring Health-Related Parameters in Adults and Older People? An Original Validation Study. International Journal of Environmental Research and Public Health 2022;19(3):1593 View
  73. Robinson A, Husband A, Slight R, Slight S. Designing Digital Health Technology to Support Patients Before and After Bariatric Surgery: Qualitative Study Exploring Patient Desires, Suggestions, and Reflections to Support Lifestyle Behavior Change. JMIR Human Factors 2022;9(1):e29782 View
  74. Hardcastle S, Maxwell-Smith C, Cavalheri V, Boyle T, Román M, Platell C, Levitt M, Saunders C, Sardelic F, Nightingale S, McCormick J, Lynch C, Cohen P, Bulsara M, Hince D. A randomized controlled trial of Promoting Physical Activity in Regional and Remote Cancer Survivors (PPARCS). Journal of Sport and Health Science 2024;13(1):81 View
  75. 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
  76. Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare 2021;9(11):1494 View
  77. Concheiro-Moscoso P, Groba B, Martínez-Martínez F, Miranda-Duro M, Nieto-Riveiro L, Pousada T, Pereira J. Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home. DIGITAL HEALTH 2022;8:205520762211211 View
  78. Veiga C, Pedras S, Oliveira R, Paredes H, Silva I. A systematic review on smartphone use for activity monitoring during exercise therapy in intermittent claudication. Journal of Vascular Surgery 2022;76(6):1734 View
  79. Ma Z, Gao Q, Yang M. Adoption of Wearable Devices by Older People: Changes in Use Behaviors and User Experiences. International Journal of Human–Computer Interaction 2023;39(5):964 View
  80. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
  81. Marquez D, Aguiñaga S, Vásquez P, Marques I, Balbim G, Jaldin M. Dancing among older Latinos: Interweaving health and culture. Latino Studies 2021;19(4):452 View
  82. Fendrich S, Balachandran M, Patel M. Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity. Scientific Reports 2021;11(1) View
  83. De Santis K, Mergenthal L, Christianson L, Busskamp A, Vonstein C, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Scoping Review. Journal of Medical Internet Research 2023;25:e43542 View
  84. Nuss K, Moore K, Marchant T, Courtney J, Edwards K, Sharp J, Nelson T, Li K. The combined effect of motivational interviewing and wearable fitness trackers on motivation and physical activity in inactive adults: A randomized controlled trial. Journal of Sports Sciences 2023;41(1):45 View
  85. Estorff I, Notthoff N. Welche Motive für körperliche Aktivität verfolgen jüngere und ältere Personen bei der Nutzung von Aktivitätstrackern?. Zeitschrift für Sportpsychologie 2023;30(1):3 View
  86. French M, Keatley E, Li J, Balasubramanian A, Hansel N, Wise R, Searson P, Singh A, Raghavan P, Wegener S, Roemmich R, Celnik P. The feasibility of remotely monitoring physical, cognitive, and psychosocial function in individuals with stroke or chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9:205520762311761 View
  87. Baik D, Reeder B, Coats H, Baker C, Jankowski C. Perceptions and Attitudes toward a Proposed Digital Health Physical Activity Program among Older Family Caregivers of Persons with Heart Failure: A Qualitative Study. Informatics for Health and Social Care 2023;48(3):239 View
  88. Amugongo L, Kriebitz A, Boch A, Lütge C. Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications. AI and Ethics 2023 View
  89. Heizmann A, Chapelle C, Laporte S, Roche F, Hupin D, Le Hello C. Impact of wearable device-based interventions with feedback for increasing daily walking activity and physical capacities in cardiovascular patients: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 2023;13(7):e069966 View
  90. Choma E, Hayes S, Lewis B, Rothman A, Wyman J, Guan W, McMahon S. Technical Assistance Received by Older Adults to Use Commercially Available Physical Activity Monitors (Ready Steady 3.0 Trial): Ad-Hoc Descriptive Longitudinal Study. JMIR mHealth and uHealth 2023;11:e47891 View
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Books/Policy Documents

  1. Rogers W, Blocker K, Dupuy L. The Cambridge Handbook of Cognitive Aging. View
  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. View
  3. Fitt H. Geographies of Transport and Ageing. View
  4. . Household Self-Tracking during a Global Health Crisis. View