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Citing this Article

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Published on 30.10.17 in Vol 5, No 10 (2017): October

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

Works citing "Determinants for Sustained Use of an Activity Tracker: Observational Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7311):

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

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  17. Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790
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  18. Grym K, Niela-Vilén H, Ekholm E, Hamari L, Azimi I, Rahmani A, Liljeberg P, Löyttyniemi E, Axelin A. Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth. BMC Pregnancy and Childbirth 2019;19(1)
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  20. De Moya J, Pallud J. From panopticon to heautopticon: A new form of surveillance introduced by quantified‐self practices. Information Systems Journal 2020;30(6):940
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  22. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis RG, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674
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  23. Lin F, Windasari NA. Continued use of wearables for wellbeing with a cultural probe. The Service Industries Journal 2019;39(15-16):1140
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  25. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood DA, Young HM. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586
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  26. Flitcroft L, Chen WS, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977
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  27. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185
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  28. Mizdrak A, Telfer K, Direito A, Cobiac LJ, Blakely T, Cleghorn CL, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014
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  29. Fan KG, Mandel J, Agnihotri P, Tai-Seale M. Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison. JMIR mHealth and uHealth 2020;8(5):e16147
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  30. . Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits. Journal of Korean Medical Science 2020;35(45)
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  31. Claudel SE, Tamura K, Troendle J, Andrews MR, Ceasar JN, Mitchell VM, Vijayakumar N, Powell-Wiley TM. Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2. Journal of Aging and Physical Activity 2021;29(3):529
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  32. Devine JK, Chinoy ED, Markwald RR, Schwartz LP, Hursh SR. Validation of Zulu Watch against Polysomnography and Actigraphy for On-Wrist Sleep-Wake Determination and Sleep-Depth Estimation. Sensors 2020;21(1):76
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  33. Peng W, Li L, Kononova A, Cotten S, Kamp K, Bowen M. Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study. JMIR mHealth and uHealth 2021;9(1):e22488
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  34. Lansing JE, Ellingson LD, DeShaw KJ, Cruz-Maldonado G, Hurt TR, Meyer JD. A qualitative analysis of barriers and facilitators to reducing sedentary time in adults with chronic low back pain. BMC Public Health 2021;21(1)
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  35. Hardcastle SJ, Jiménez-Castuera R, Maxwell-Smith C, Bulsara MK, Hince D, Bergman P. Fitbit wear-time and patterns of activity in cancer survivors throughout a physical activity intervention and follow-up: Exploratory analysis from a randomised controlled trial. PLOS ONE 2020;15(10):e0240967
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  36. Kelly R, Jones S, Price B, Katz D, McCormick C, Pearce O. Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria. JMIR mHealth and uHealth 2021;9(1):e22846
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  37. van der Velde M, Valkenet K, Geleijn E, Kruisselbrink M, Marsman M, Janssen LM, Ruurda JP, van der Peet DL, Aarden JJ, Veenhof C, van der Leeden M. Usability and Preliminary Effectiveness of a Preoperative mHealth App for People Undergoing Major Surgery: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e23402
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  38. Rubin DS, Rich Severin , Arena R, Bond S. Leveraging technology to move more and sit less. Progress in Cardiovascular Diseases 2021;64:55
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  39. Elbers S, van Gessel C, Renes RJ, van der Lugt R, Wittink H, Hermsen S. Innovation in Pain Rehabilitation Using Co-Design Methods During the Development of a Relapse Prevention Intervention: Case Study. Journal of Medical Internet Research 2021;23(1):e18462
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  40. Rayward AT, Vandelanotte C, Van Itallie A, Duncan MJ. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151
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  41. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180
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  42. Rowley N, Steele J, Mann S, Jimenez A, Horton E. Delivery Approaches Within Exercise Referral Schemes: A Survey of Current Practice in England. Journal of Physical Activity and Health 2021;18(4):357
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  43. Nezami BT, Valle CG, Nulty AK, Espeland M, Wing RR, Tate DF. Predictors and Outcomes of Digital Weighing and Activity Tracking Lapses Among Young Adults During Weight Gain Prevention. Obesity 2021;29(4):698
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  44. Östlind E, Sant’Anna A, Eek F, Stigmar K, Ekvall Hansson E. Physical activity patterns, adherence to using a wearable activity tracker during a 12-week period and correlation between self-reported function and physical activity in working age individuals with hip and/or knee osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1)
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  45. Jevsevar DS, Molloy IB, Gitajn IL, Werth PM. Orthopaedic Surgeon Physiological Indicators of Strain as Measured by a Wearable Fitness Device. Journal of the American Academy of Orthopaedic Surgeons 2021;29(24):e1378
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  46. Orstad SL, Gerchow L, Patel NR, Reddy M, Hernandez C, Wilson DK, Jay M. Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity. Informatics 2021;8(2):39
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  47. Lee J, Turchioe MR, Creber RM, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2)
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  49. König LM, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework (Preprint). JMIR mHealth and uHealth 2020;
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  50. Hancı E, Ruijten PAM, Lacroix J, IJsselsteijn WA. The Impact of Mindset on Self-Tracking Experience. Frontiers in Digital Health 2021;3
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  51. Lee M, Kang D, Kim S, Lim J, Yoon J, Kim Y, Shim S, Kang E, Ahn JS, Cho J, Shin S, Oh D. Who is more likely to adopt and comply with the electronic patient-reported outcome measure (ePROM) mobile application? A real-world study with cancer patients undergoing active treatment. Supportive Care in Cancer 2022;30(1):659
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  52. Attig C, Franke T. Why Do People Abandon Activity Trackers? The Role of User Diversity in Discontinued Use. International Journal of Human–Computer Interaction 2023;39(8):1662
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  53. Domal SV, Chandrasekaran B, Palanisamy HP. Influence of smartphone-based physical activity intervention on executive functions and cardiometabolic disease risk in obese young adults: a pilot randomised controlled trial. Journal of Diabetes & Metabolic Disorders 2023;22(1):619
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  54. van Doorn M, Nijhuis LA, Monsanto A, van Amelsvoort T, Popma A, Jaspers MWM, Noordzij ML, Öry FG, Alvarez-Jimenez M, Nieman DH. Usability, Feasibility, and Effect of a Biocueing Intervention in Addition to a Moderated Digital Social Therapy-Platform in Young People With Emerging Mental Health Problems: A Mixed-Method Approach. Frontiers in Psychiatry 2022;13
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  55. Hermsen S, van Kraaij A, Camps G. Low– and Medium–Socioeconomic-Status Group Members’ Perceived Challenges and Solutions for Healthy Nutrition: Qualitative Focus Group Study. JMIR Human Factors 2022;9(4):e40123
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  56. Sitjar-Suñer M, Suñer-Soler R, Bertran-Noguer C, Masià-Plana A, Romero-Marull N, Reig-Garcia G, Alòs F, Patiño-Masó J. Mortality and Quality of Life with Chronic Kidney Disease: A Five-Year Cohort Study with a Sample Initially Receiving Peritoneal Dialysis. Healthcare 2022;10(11):2144
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  61. Black M, Brunet J. A Wearable Activity Tracker Intervention With and Without Weekly Behavioral Support Emails to Promote Physical Activity Among Women Who Are Overweight or Obese: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(12):e28128
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7311):

  1. Lidynia C, Brauner P, Burbach L, Ziefle M. Advances in Usability, User Experience, Wearable and Assistive Technology. 2020. Chapter 70:531
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  2. Marschollek M, Wolf K. Zusammenwirken von natürlicher und künstlicher Intelligenz. 2021. Chapter 7:75
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  3. Fietkiewicz KJ, Ilhan A. Human-Computer Interaction. Interaction Techniques and Novel Applications. 2021. Chapter 28:372
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