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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"

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)

  1. Jang MH, Ahn SJ, Lee JW, Rhee M, Chae D, Kim J, Shin MJ. 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
    CrossRef
  2. 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 2018;
    CrossRef
  3. Ehn M, Eriksson LC, 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
    CrossRef
  4. 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
    CrossRef
  5. 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;:1
    CrossRef
  6. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41
    CrossRef
  7. 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)
    CrossRef
  8. 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
    CrossRef
  9. 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
    CrossRef
  10. Madigan EA. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2017;:146045821772039
    CrossRef
  11. Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4
    CrossRef
  12. Farina N, Lowry RG. Older adults’ satisfaction of wearing consumer-level activity monitors. Journal of Rehabilitation and Assistive Technologies Engineering 2017;4:205566831773325
    CrossRef
  13. Cadmus-Bertram L. Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know. The Journal for Nurse Practitioners 2017;13(1):34
    CrossRef
  14. 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
    CrossRef
  15. 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)
    CrossRef
  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
    CrossRef
  17. 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
    CrossRef
  18. 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
    CrossRef
  19. 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
    CrossRef
  20. . A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277
    CrossRef
  21. Abelson JS, 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
    CrossRef
  22. 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
    CrossRef
  23. 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
    CrossRef
  24. 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)
    CrossRef

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

:
  1. Fitt H. Geographies of Transport and Ageing. 2018. Chapter 9:199
    CrossRef