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Citing this Article

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Published on 13.04.16 in Vol 4, No 2 (2016): Apr-Jun

This paper is in the following e-collection/theme issue:

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

Siobhan K McMahon, Beth Lewis, Michael Oakes, Weihua Guan, Jean F Wyman, Alexander J Rothman

JMIR Mhealth Uhealth 2016 (Apr 13); 4(2):e35 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5120):

(note that this is only a small subset of citations)

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  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
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  3. Larsen RT, Christensen J, Juhl CB, Andersen HB, 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)
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  4. Nguyen NH, Hadgraft NT, Moore MM, Rosenberg DE, Lynch C, Reeves MM, Lynch BM. 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
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  5. Lewis ZH, Ottenbacher KJ, Fisher SR, Jennings K, Brown AF, Swartz MC, Martinez E, Lyons EJ. The feasibility and RE-AIM evaluation of the TAME health pilot study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
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  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
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  29. Larsen RT, Christensen J, Juhl CB, Andersen HB, 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)
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  30. McMahon SK, Park YS, Lewis B, Guan W, Oakes JM, Wyman JF, Rothman AJ. Older Adults’ Utilization of Community Resources Targeting Fall Prevention and Physical Activity. The Gerontologist 2019;59(3):436
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  31. Cajita MI, Hodgson NA, Lam KW, 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
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  32. Dugas M, Crowley K, Gao GG, Xu T, Agarwal R, Kruglanski AW, Steinle N, Barengo NC. 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
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  33. Louie DR, Bird M, Menon C, Eng JJ. 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)
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  34. Reeder B, Chung J, Lyden K, Winters J, Jankowski CM. Older women’s perceptions of wearable and smart home activity sensors. Informatics for Health and Social Care 2020;45(1):96
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  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
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  36. Farina N, Lowry RG. Older adults’ satisfaction of wearing consumer-level activity monitors. Journal of Rehabilitation and Assistive Technologies Engineering 2017;4:205566831773325
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  37. Detmer MR, Kern P, Jacobi-Vessels J, King KM. Intergenerational Music Therapy: Effects on Literacy, Physical Functioning, Self-Worth, and Interactions. Journal of Intergenerational Relationships 2020;18(2):175
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  38. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41
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  39. Lyons EJ, Swartz MC, Lewis ZH, 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
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  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
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  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
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  42. Batsis JA, Naslund JA, Gill LE, Masutani RK, Agarwal N, Bartels SJ. Use of a Wearable Activity Device in Rural Older Obese Adults. Gerontology and Geriatric Medicine 2016;2:233372141667807
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  43. Janevic MR, Shute V, Murphy SL, Piette JD. Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults. Pain Medicine 2020;21(2):e68
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  44. Masterson Creber RM, Hickey KT, Maurer MS. 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)
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  45. Abelson JS, 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
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  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
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  47. Seifert A, Schlomann A, Rietz C, Schelling HR. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008
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  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
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  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
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  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
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  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
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  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
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  53. Epstein DA, Caldeira C, Figueiredo MC, Lu X, Silva LM, Williams L, Lee JH, Li Q, Ahuja S, Chen Q, Dowlatyari P, Hilby C, Sultana S, Eikey EV, 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
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  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
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  55. Keogh A, Dorn JF, 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
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  56. Huynh B, Barrett J, Joachim A, Smith D, Stafford LC, Abbott DE, 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
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  57. Strauss DH, Davoodi NM, Healy M, Metts CL, Merchant RC, Banskota S, Goldberg EM. 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
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  58. Peters DM, O’Brien ES, Kamrud KE, Roberts SM, Rooney TA, Thibodeau KP, 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)
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  59. Schorr EN, Gepner AD, Dolansky MA, Forman DE, Park LG, Petersen KS, Still CH, Wang TY, Wenger NK. 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)
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  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
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  61. Felberbaum Y, Lanir J, Weiss PL. Designing Mobile Health Applications to Support Walking for Older Adults. International Journal of Environmental Research and Public Health 2023;20(4):3611
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  62. Joshi R, Joseph A, Mihandoust S, Madathil KC, Cotten SR. A mobile application-based home assessment tool for patients undergoing joint replacement surgery: A qualitative feasibility study. Applied Ergonomics 2022;103:103796
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  63. Vanzella LM, Ghisi GLDM, Colella TJF, Larkin J, Vanderlei LCM, 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
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  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
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  65. Frodi DM, Manea V, Diederichsen SZ, Svendsen JH, Wac K, Andersen TO. 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
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  66. Fioranzato M, Comoretto RI, 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
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  67. AlSwayied G, Guo H, Rookes T, Frost R, Hamilton FL. 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
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  68. Liu JYW, Kwan RYC, Yin Y, Lee PH, Siu JY, 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
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5120):

  1. Rogers WA, Blocker KA, Dupuy L. The Cambridge Handbook of Cognitive Aging. 2020. 39:717
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  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
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  3. . Geographies of Transport and Ageing. 2018. Chapter 9:199
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  4. . Household Self-Tracking during a Global Health Crisis. 2022. :119
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