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Citing this Article

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Published on 01.02.18 in Vol 6, No 2 (2018): February

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

Works citing "Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences"

Maria Ehn, Lennie Carlén Eriksson, Nina Åkerberg, Ann-Christin Johansson

JMIR Mhealth Uhealth 2018 (Feb 01); 6(2):e34 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8345):

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

  1. Kajiwara K, Kako J, Noto H, Oosono Y, Kobayashi M. Reply to: Breast cancer survivors’ perspectives on a home-based physical activity intervention utilizing wearable technology. Supportive Care in Cancer 2020;28(4):1541
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  2. Andersen TO, 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
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  3. 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
  4. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B. Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mHealth and uHealth 2019;7(6):e13084
    CrossRef
  5. 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
    CrossRef
  6. Ehn M, Johansson A, Revenäs . 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
    CrossRef
  7. Hannan AL, Harders MP, Hing W, Climstein M, Coombes JS, Furness J. Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis. BMC Sports Science, Medicine and Rehabilitation 2019;11(1)
    CrossRef
  8. Jang I, Kim HR, Lee E, Jung H, Park H, Cheon S, Lee YS, Park YR. Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study. JMIR mHealth and uHealth 2018;6(11):e11335
    CrossRef
  9. Boolani A, Towler C, LeCours B, Blank H, Larue J, Fulk G. Accuracy of 6 Commercially Available Activity Monitors in Measuring Heart Rate, Caloric Expenditure, Steps Walked, and Distance Traveled. Cardiopulmonary Physical Therapy Journal 2019;30(4):153
    CrossRef
  10. Rezvani F, Heider D, Härter M, König H, Bienert F, Brinkmann J, Herbarth L, Kramer E, Steinisch P, Freudenstein F, Terhalle R, Grosse Y, Bock S, Posselt J, Beutel C, Reif F, Kirchhoff F, Neuschwander C, Löffler F, Brunner L, Dickmeis P, Heidenthal T, Schmitz L, Chase DP, Seelenmeyer C, Alscher MD, Tegtbur U, Dirmaier J. Telephone health coaching with exercise monitoring using wearable activity trackers (TeGeCoach) for improving walking impairment in peripheral artery disease: study protocol for a randomised controlled trial and economic evaluation. BMJ Open 2020;10(6):e032146
    CrossRef
  11. 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
    CrossRef
  12. 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
  13. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303
    CrossRef
  14. Huifeng W, Kadry SN, Raj ED. Continuous health monitoring of sportsperson using IoT devices based wearable technology. Computer Communications 2020;160:588
    CrossRef
  15. Aldenaini N, Alqahtani F, Orji R, Sampalli S. Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review. Frontiers in Artificial Intelligence 2020;3
    CrossRef
  16. Cammisuli D, Pietrabissa G, Castelnuovo G. Improving wellbeing of community-dwelling people with mild cognitive impairment: the SENIOR (SystEm of Nudge theory based ICT applications for OldeR citizens) project. Neural Regeneration Research 2022;0
    CrossRef
  17. Essery R, Denison-Day J, Grey E, Priestley E, Bradbury K, Mutrie N, Western MJ. Development of the Digital Assessment of Precise Physical Activity (DAPPA) Tool for Older Adults. International Journal of Environmental Research and Public Health 2020;17(21):7949
    CrossRef
  18. Jachan DE, Müller-Werdan U, Lahmann NA, Strube-Lahmann S. Smart@home – supporting safety and mobility of elderly and care dependent people in their own homes through the use of technical assistance systems and conventional mobility supporting tools: a cross-sectional survey. BMC Geriatrics 2021;21(1)
    CrossRef
  19. Hollander JB, Folta SC, Graves EM, Allen JD, Situ M. A Fitness App for Monitoring Walking Behavior and Perception (Runkeeper): Mixed Methods Pilot Study. JMIR Formative Research 2021;5(3):e22571
    CrossRef
  20. Ummels D, Beekman E, Braun SM, Beurskens AJ. Using an Activity Tracker in Healthcare: Experiences of Healthcare Professionals and Patients. International Journal of Environmental Research and Public Health 2021;18(10):5147
    CrossRef
  21. Lucki M, Chlebuś E, Wareńczak A, Lisiński P. The Use of Samsung Health and ECG M-Trace Base II Applications for the Assessment of Exercise Tolerance in the Secondary Prevention in Patients after Ischemic Stroke. International Journal of Environmental Research and Public Health 2021;18(11):5753
    CrossRef
  22. Simmich J, Mandrusiak A, Russell T, Smith S, Hartley N. Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity. DIGITAL HEALTH 2021;7:205520762110199
    CrossRef
  23. Moore K, O'Shea E, Kenny L, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis. JMIR mHealth and uHealth 2021;9(6):e23832
    CrossRef
  24. Rhee JH, Ma JH, Seo J, Cha SH. Review of applications and user perceptions of smart home technology for health and environmental monitoring. Journal of Computational Design and Engineering 2022;9(3):857
    CrossRef
  25. O’Brien J, Mason A, Cassarino M, Chan J, Setti A. Older Women’s Experiences of a Community-Led Walking Programme Using Activity Trackers. International Journal of Environmental Research and Public Health 2021;18(18):9818
    CrossRef
  26. 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
    CrossRef
  27. Lindberg T, Sandström B, Andersson EK, Borg C, Hjelm M, Nilsson L, Olsson A, Skär L. Older persons’ experience of eHealth services in home health care: A meta-ethnography eHealth services in home health care. Health Informatics Journal 2021;27(4):146045822110593
    CrossRef
  28. Hannan AL, Hing W, Coombes JS, Gough S, Climstein M, Adsett G, Jayasinghe R, Furness J. Effect of personal activity intelligence (PAI) monitoring in the maintenance phase of cardiac rehabilitation: a mixed methods evaluation. BMC Sports Science, Medicine and Rehabilitation 2021;13(1)
    CrossRef
  29. Cajamarca G, Herskovic V. Understanding experiences and expectations from active, independent older women in Chile towards technologies to manage their health. International Journal of Human-Computer Studies 2022;166:102867
    CrossRef
  30. Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Medical Informatics and Decision Making 2022;22(1)
    CrossRef
  31. 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
    CrossRef
  32. Maher C, Szeto K, Arnold J. The use of accelerometer-based wearable activity monitors in clinical settings: current practice, barriers, enablers, and future opportunities. BMC Health Services Research 2021;21(1)
    CrossRef
  33. Kim H, Cho I, Kim M. Gamification Aspects of Fitness Apps: Implications of mHealth for Physical Activities. International Journal of Human–Computer Interaction 2023;39(10):2076
    CrossRef
  34. Kenny L, Moore K, O' Riordan C, Fox S, Barton J, Tedesco S, Sica M, Crowe C, Alamäki A, Condell J, Nordström A, Timmons S. The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration. JMIR Formative Research 2022;6(1):e27418
    CrossRef
  35. . A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities. International Journal of Environmental Research and Public Health 2022;19(18):11166
    CrossRef
  36. Chang Y, Kim S. A Systematic Review on Patient-generated Health Data Visualization for Daily and Clinical Use. Journal of Digital Contents Society 2022;23(10):2057
    CrossRef
  37. Lin SH, Ling R, Rosenthal S. Opening the black box of fitness tracking: understanding the mechanisms of feedback in motivating physical activity among older Singaporeans. Behaviour & Information Technology 2024;43(4):736
    CrossRef
  38. Schuster AM, Kadylak T, Cotten SR. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1
    CrossRef
  39. Paolillo EW, Lee SY, VandeBunte A, Djukic N, Fonseca C, Kramer JH, Casaletto KB. Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors. Frontiers in Digital Health 2022;4
    CrossRef
  40. Chung J, Brakey HR, Reeder B, Myers O, Demiris G. Community‐dwelling older adults' acceptance of smartwatches for health and location tracking. International Journal of Older People Nursing 2023;18(1)
    CrossRef
  41. Hvalič-Touzery S, Šetinc M, Dolničar V. Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study. International Journal of Environmental Research and Public Health 2022;19(23):15723
    CrossRef
  42. Ehn M, Derneborg M, Revenäs , 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
    CrossRef
  43. Revenäs , Ström L, Cicchetti A, Ehn M. Toward digital inclusion of older adults in e-health: a case study on support for physical activity. Universal Access in the Information Society 2023;
    CrossRef
  44. Choma EA, Hayes S, Lewis BA, Rothman AJ, Wyman JF, Guan W, McMahon SK. 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
    CrossRef
  45. Wegener EK, Kayser L. Smart health technologies used to support physical activity and nutritional intake in fall prevention among older adults: A scoping review. Experimental Gerontology 2023;181:112282
    CrossRef
  46. Thakur N, Cui S, Patel KA, Azizi N, Knieling V, Han C, Poon A, Shah R. Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. Computation 2023;11(11):234
    CrossRef
  47. van Acker J, Maenhout L, Compernolle S, Albert S. Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies. Innovation in Aging 2023;7(2)
    CrossRef
  48. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.8345):

  1. Klebbe R, Steinert A, Buchem I, Müller-Werdan U. Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration. 2019. Chapter 24:312
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  2. Petsani D, Kostantinidis EI, Diaz-Orueta U, Hopper L, Bamidis PD. Information and Communication Technologies for Ageing Well and e-Health. 2019. Chapter 6:108
    CrossRef
  3. Pietrabissa G, Zoppis I, Mauri G, Ghiretti R, Giusti EM, Cattivelli R, Spatola C, Manzoni GM, Castelnuovo G. Pervasive Computing Paradigms for Mental Health. 2019. Chapter 3:29
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  4. . Fourth International Congress on Information and Communication Technology. 2020. Chapter 1:1
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  5. . Internet of Things for Human-Centered Design. 2022. Chapter 11:233
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  6. . Quantifying Quality of Life. 2022. Chapter 8:165
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