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Citing this Article

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Published on 27.01.16 in Vol 4, No 1 (2016): Jan-Mar

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4225):

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

  1. 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
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  2. Breteler MJ, Janssen JH, Spiering W, Kalkman CJ, van Solinge WW, Dohmen DA. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489
    CrossRef
  3. Somayaji D, Blok AC, Hayman LL, Colson Y, Jaklisch M, Cooley ME. 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
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  4. Kiehl ZA, Durkee KT, Halverson KC, Christensen JC, Hellstern GF. Transforming work through human sensing: a confined space monitoring application. Structural Health Monitoring 2019;:147592171984099
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  5. Floegel TA, Allen KD, Buman MP. A pilot study examining activity monitor use in older adults with heart failure during and after hospitalization. Geriatric Nursing 2019;40(2):185
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  6. Heinemann M, Welker SG, Holz FG, Finger RP. Physische Aktivität bei älteren Menschen mit Augenerkrankungen. Der Ophthalmologe 2019;116(4):351
    CrossRef
  7. Liew MS, Zhang J, See J, Ong YL. Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers. JMIR mHealth and uHealth 2019;7(1):e12160
    CrossRef
  8. Shin G, Feng Y, Jarrahi MH, Gafinowitz N. Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use. JAMIA Open 2019;2(1):62
    CrossRef
  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
    CrossRef
  10. 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 2019;:1
    CrossRef
  11. Sharaievska I, Battista RA, Zwetsloot J. Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach. JMIR Pediatrics and Parenting 2019;2(1):e10658
    CrossRef
  12. Shin G, Jarrahi MH, 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
    CrossRef
  13. Hawkins J, Charles JM, Edwards M, Hallingberg B, McConnon L, Edwards RT, Jago R, Kelson M, Morgan K, Murphy S, Oliver EJ, Simpson SA, 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
    CrossRef
  14. Ummels D, Beekman E, Moser A, Braun SM, Beurskens AJ. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2019;:1
    CrossRef
  15. Ridgers ND, Timperio A, Brown H, Ball K, Macfarlane S, Lai SK, Richards K, Mackintosh KA, McNarry MA, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86
    CrossRef
  16. Phillips SM, Cadmus-Bertram L, Rosenberg D, Buman MP, Lynch BM. Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges. American Journal of Preventive Medicine 2018;54(1):144
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  17. 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
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  18. 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
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  19. Reyes-Mercado P. Adoption of fitness wearables. Journal of Systems and Information Technology 2018;20(1):103
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  20. 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
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  21. . Review of Wearable Device Technology and Its Applications to the Mining Industry. Energies 2018;11(3):547
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  22. von Storch K, Schlomann A, Rietz C, Polidori MC, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):789
    CrossRef
  23. 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
  24. 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
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  25. Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, 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
    CrossRef
  26. Lamont RM, Daniel HL, Payne CL, Brauer SG. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait & Posture 2018;63:104
    CrossRef
  27. 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
  28. Kekade S, Hseieh C, Islam MM, Atique S, Mohammed Khalfan A, Li Y, Abdul SS. The usefulness and actual use of wearable devices among the elderly population. Computer Methods and Programs in Biomedicine 2018;153:137
    CrossRef
  29. Koo SH. Design factors and preferences in wearable soft robots for movement disabilities. International Journal of Clothing Science and Technology 2018;30(4):477
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  30. Rossi A, Frechette L, Miller D, Miller E, Friel C, Van Arsdale A, Lin J, Shankar V, Kuo DY, Nevadunsky NS. Acceptability and feasibility of a Fitbit physical activity monitor for endometrial cancer survivors. Gynecologic Oncology 2018;149(3):470
    CrossRef
  31. 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
    CrossRef
  32. 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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  33. Katz S, Marshall BL. Tracked and fit: FitBits, brain games, and the quantified aging body. Journal of Aging Studies 2018;45:63
    CrossRef
  34. 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
    CrossRef
  35. 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
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  36. 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
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  37. Jonkman NH, van Schooten KS, Maier AB, Pijnappels M. eHealth interventions to promote objectively measured physical activity in community-dwelling older people. Maturitas 2018;113:32
    CrossRef
  38. Benson LC, Clermont CA, 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
    CrossRef
  39. 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
    CrossRef
  40. Careyva BA, Hamadani R, Friel T, Coyne CA. A Social Needs Assessment Tool for an Urban Latino Population. Journal of Community Health 2018;43(1):137
    CrossRef
  41. Wieringa FP, Broers NJH, Kooman JP, Van Der Sande FM, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505
    CrossRef
  42. 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
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  43. 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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  44. 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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  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
    CrossRef
  46. Madigan EA. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2017;:146045821772039
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  47. 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
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  48. Hassan L, Swarbrick C, Sanders C, Parker A, Machin M, Tully MP, 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)
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  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
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  50. Shingler E, Hackshaw-McGeagh L, Robles L, Persad R, Koupparis A, Rowe E, Shiridzinomwa C, Bahl A, Martin RM, Lane JA. 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)
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  51. 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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  52. Kim BY, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69
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  53. Abrantes AM, Blevins CE, Battle CL, Read JP, Gordon AL, Stein MD. Developing a Fitbit-supported lifestyle physical activity intervention for depressed alcohol dependent women. Journal of Substance Abuse Treatment 2017;80:88
    CrossRef
  54. Godfrey A. Wearables for independent living in older adults: Gait and falls. Maturitas 2017;100:16
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  55. 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
  56. Osborn CY, van Ginkel JR, Marrero DG, 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
    CrossRef
  57. Swartz MC, Lewis ZH, Swartz MD, Martinez E, Lyons EJ. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2017;:073346481773935
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  58. Wu KJ, Gregory TS, Lastinger MC, Murrow JR, Tse ZTH. Magnetohydrodynamic Voltage Recorder for Comparing Peripheral Blood Flow. Annals of Biomedical Engineering 2017;45(10):2298
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  59. . 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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  60. 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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  61. McMahon SK, Lewis B, Oakes M, Guan W, Wyman JF, Rothman AJ. Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity. JMIR mHealth and uHealth 2016;4(2):e35
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  62. 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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  63. Chang RC, 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
    CrossRef
  64. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725
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  65. 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
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  66. 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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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4225)

:
  1. Schwartz M, Oppold P, Hancock PA. Critical Issues Impacting Science, Technology, Society (STS), and Our Future. 2019. chapter 7:145
    CrossRef
  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
    CrossRef
  3. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. 2018. Chapter 14:173
    CrossRef
  4. Tuccori M, Wallberg M. Pharmacovigilance. 2017. Chapter 17:181
    CrossRef
  5. 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. 2017. Chapter 24
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