Published on in Vol 16, No 8 (2014): August

Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

Journals

  1. Ridgers N, Timperio A, Brown H, Ball K, Macfarlane S, Lai S, Richards K, Mackintosh K, McNarry M, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86 View
  2. Kovacs G, Wu Z, Bernstein M. Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1 View
  3. Lyons E, Swartz M, Lewis Z, 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 View
  4. Jung H, Park H, Kim H, Kim H. Application of Standard Terminologies for the Development of a Customized Healthcare Service based on a PHR Platform. Journal of Multimedia Information System 2019;6(4):303 View
  5. Farivar S, Abouzahra M, Ghasemaghaei M. Wearable device adoption among older adults: A mixed-methods study. International Journal of Information Management 2020;55:102209 View
  6. Alcántara-Aragón V, Rodrigo-Cano S, Lupianez-Barbero A, Martinez M, Martinez C, Tapia J, Iniesta J, Tenes S, Urgell E, Navarro G, Hernando M, Merino-Torres J, de Leiva A, Gonzalez C. Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results. Diabetes Technology & Therapeutics 2018;20(5):380 View
  7. Bardus M, van Beurden S, Smith J, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  8. Granger C, Parry S, Edbrooke L, Denehy L. Deterioration in physical activity and function differs according to treatment type in non-small cell lung cancer – future directions for physiotherapy management. Physiotherapy 2016;102(3):256 View
  9. Linke S, Larsen B, Marquez B, Mendoza-Vasconez A, Marcus B. Adapting Technological Interventions to Meet the Needs of Priority Populations. Progress in Cardiovascular Diseases 2016;58(6):630 View
  10. Duncan M, Murawski B, Short C, Rebar A, Schoeppe S, Alley S, Vandelanotte C, Kirwan M. Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors. Interactive Journal of Medical Research 2017;6(2):e13 View
  11. Flaherty S, McCarthy M, Collins A, McAuliffe F. Can existing mobile apps support healthier food purchasing behaviour? Content analysis of nutrition content, behaviour change theory and user quality integration. Public Health Nutrition 2018;21(2):288 View
  12. Sallis J. Pathways for translating behavioral medicine research to practice and policy. Translational Behavioral Medicine 2019;9(6):1248 View
  13. McMahon S, Lewis B, Oakes M, Guan W, Wyman J, Rothman A. Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity. JMIR mHealth and uHealth 2016;4(2):e35 View
  14. Ridgers N, Timperio A, Brown H, Ball K, Macfarlane S, Lai S, Richards K, Ngan W, Salmon J. A cluster-randomised controlled trial to promote physical activity in adolescents: the Raising Awareness of Physical Activity (RAW-PA) Study. BMC Public Health 2017;17(1) View
  15. Rhea C, Felsberg D, Maher J. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210 View
  16. Galaviz K, Narayan K, Lobelo F, Weber M. Lifestyle and the Prevention of Type 2 Diabetes: A Status Report. American Journal of Lifestyle Medicine 2018;12(1):4 View
  17. Weiner L, Nagel S, Su H, Hurst S, Hartman S. A Remotely Delivered, Peer-Led Physical Activity Intervention for Younger Breast Cancer Survivors (Pink Body Spirit): Protocol for a Feasibility Study and Mixed Methods Process Evaluation. JMIR Research Protocols 2020;9(7):e18420 View
  18. Gilson N, Pavey T, Vandelanotte C, Duncan M, Gomersall S, Trost S, Brown W. Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers. Australian and New Zealand Journal of Public Health 2016;40(1):91 View
  19. Winfree K, Dominick G. Modeling Clinically Validated Physical Activity Assessments Using Commodity Hardware. IEEE Journal of Biomedical and Health Informatics 2018;22(2):335 View
  20. 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 View
  21. Schrager J, Shayne P, Wolf S, Das S, Patzer R, White M, Heron S. Assessing the Influence of a Fitbit Physical Activity Monitor on the Exercise Practices of Emergency Medicine Residents: A Pilot Study. JMIR mHealth and uHealth 2017;5(1):e2 View
  22. Kim Y, Lumpkin A, Lochbaum M, Stegemeier S, Kitten K. Promoting physical activity using a wearable activity tracker in college students: A cluster randomized controlled trial. Journal of Sports Sciences 2018;36(16):1889 View
  23. Harris B, Melton B, Bland H, Carpentier A, Gonzales J, Catenacci K. Enhancing Psychosocial Constructs Associated with Technology-Based Physical Activity: A Randomized Trial Among African American Women. American Journal of Health Education 2018;49(2):74 View
  24. Dayer L, Shilling R, Van Valkenburg M, Martin B, Gubbins P, Hadden K, Heldenbrand S. Assessing the Medication Adherence App Marketplace From the Health Professional and Consumer Vantage Points. JMIR mHealth and uHealth 2017;5(4):e45 View
  25. McCallum C, Rooksby J, Gray C. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58 View
  26. Nehra A, Gettman M, Rivera M, Agarwal D, O’Neil D, Jenkins S, Tollefson M, Viers B. A Survey of Perceptions and Acceptance of Wearable Technology for Health Monitoring in a Urological Patient Population. Urology Practice 2017;4(6):508 View
  27. Liu S, Zhang R, Kishimoto T. Analysis and prospect of clinical psychology based on topic models: hot research topics and scientific trends in the latest decades. Psychology, Health & Medicine 2021;26(4):395 View
  28. Li L, Sayre E, Xie H, Clayton C, Feehan L. A Community-Based Physical Activity Counselling Program for People With Knee Osteoarthritis: Feasibility and Preliminary Efficacy of the Track-OA Study. JMIR mHealth and uHealth 2017;5(6):e86 View
  29. Feldman D, Theodore Robison W, Pacor J, Caddell L, Feldman E, Deitz R, Feldman T, Martin S, Nasir K, Blaha M. Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease. Clinical Cardiology 2018;41(7):985 View
  30. Abedtash H, Holden R. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002 View
  31. Reed J, Estabrooks P, Pozehl B, Heelan K, Wichman C. Effectiveness of the 5A’s Model for Changing Physical Activity Behaviors in Rural Adults Recruited From Primary Care Clinics. Journal of Physical Activity and Health 2019;16(12):1138 View
  32. Weaver A, Stutzman S, Supnet C, Olson D. Sleep quality, but not quantity, is associated with self-perceived minor error rates among emergency department nurses. International Emergency Nursing 2016;25:48 View
  33. Hawkins J, Charles J, Edwards M, Hallingberg B, McConnon L, Edwards R, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, 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 View
  34. Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis. American Journal of Health Promotion 2020;34(4):418 View
  35. Lewis Z, Pritting L, Picazo A, JeanMarie-Tucker M. The utility of wearable fitness trackers and implications for increased engagement: An exploratory, mixed methods observational study. DIGITAL HEALTH 2020;6 View
  36. Antezana G, Venning A, Blake V, Smith D, Winsall M, Orlowski S, Bidargaddi N. An evaluation of behaviour change techniques in health and lifestyle mobile applications. Health Informatics Journal 2020;26(1):104 View
  37. Huh U, Tak Y, Song S, Chung S, Sung S, Lee C, Bae M, Ahn H. Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study. JMIR mHealth and uHealth 2019;7(6):e13381 View
  38. Hartman S, Nelson S, Weiner L. Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(2):e29 View
  39. Bice M, Ball J, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2016;14(4):295 View
  40. Groarke J, Richmond J, Kelly M, McSharry J, Groarke A, Kerr T, Singaroyan N, Harney O, Haughey C, Glynn L, Masterson E, O Donnell A, Duffy K, Walsh J. Examining the Impact of a Personalized Self-Management Lifestyle Program Using Mobile Technology on the Health and Well-Being of Cancer Survivors: Protocol and Rationale for a Randomized Controlled Trial (The Moving On Study). JMIR Research Protocols 2019;8(8):e13214 View
  41. Evans E, Abrantes A, Chen E, Jelalian E. Using Novel Technology within a School-Based Setting to Increase Physical Activity: A Pilot Study in School-Age Children from a Low-Income, Urban Community. BioMed Research International 2017;2017:1 View
  42. Wheeler T, Michael Vallis T, Giacomantonio N, Abidi S. Feasibility and usability of an ontology-based mobile intervention for patients with hypertension. International Journal of Medical Informatics 2018;119:8 View
  43. Pope Z, Lee J, Zeng N, Gao Z. Validation of Four Smartwatches in Energy Expenditure and Heart Rate Assessment During Exergaming. Games for Health Journal 2019;8(3):205 View
  44. Wang Y, Fadhil A, Lange J, Reiterer H. Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. JMIR Research Protocols 2019;8(1):e8055 View
  45. Willcox J, Chai D, Beilin L, Prescott S, Silva D, Neppe C, Huang R. Evaluating Engagement in a Digital and Dietetic Intervention Promoting Healthy Weight Gain in Pregnancy: Mixed Methods Study. Journal of Medical Internet Research 2020;22(6):e17845 View
  46. Oliveira C, Franco M, Maher C, Ferreira P, Morelhão P, Damato T, Gobbi C, Pinto R. Physical Activity–Based Interventions Using Electronic Feedback May Be Ineffective in Reducing Pain and Disability in Patients With Chronic Musculoskeletal Pain: A Systematic Review With Meta-Analysis. Archives of Physical Medicine and Rehabilitation 2018;99(9):1900 View
  47. Hardcastle S, Hince D, Jiménez-Castuera R, Boyle T, Cavalheri V, Makin G, Tan P, Salfinger S, Tan J, Mohan G, Levitt M, Cohen P, Saunders C, Platell C. Promoting physical activity in regional and remote cancer survivors (PPARCS) using wearables and health coaching: randomised controlled trial protocol. BMJ Open 2019;9(5):e028369 View
  48. Phillips S, Cadmus-Bertram L, Rosenberg D, Buman M, Lynch B. Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges. American Journal of Preventive Medicine 2018;54(1):144 View
  49. Walker R, Hickey A, Freedson P. Advantages and Limitations of Wearable Activity Trackers: Considerations for Patients and Clinicians. Clinical Journal of Oncology Nursing 2016;20(6):606 View
  50. Stockwell S, Schofield P, Fisher A, Firth J, Jackson S, Stubbs B, Smith L. Digital behavior change interventions to promote physical activity and/or reduce sedentary behavior in older adults: A systematic review and meta-analysis. Experimental Gerontology 2019;120:68 View
  51. Tong H, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1) View
  52. Li L, Feehan L, Shaw C, Xie H, Sayre E, Aviña-Zubeita A, Grewal N, Townsend A, Gromala D, Noonan G, Backman C. A technology-enabled Counselling program versus a delayed treatment control to support physical activity participation in people with inflammatory arthritis: study protocol for the OPAM-IA randomized controlled trial. BMC Rheumatology 2017;1(1) View
  53. Chouhan C, LaPerriere C, Aljallad Z, Kropczynski J, Lipford H, Wisniewski P. Co-designing for Community Oversight. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  54. Chia G, Anderson A, McLean L. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768 View
  55. Leese J, Macdonald G, Tran B, Wong R, Backman C, Townsend A, Davis A, Jones C, Gromala D, Avina‐Zubieta J, Hoens A, Li L. Using Physical Activity Trackers in Arthritis Self‐Management: A Qualitative Study of Patient and Rehabilitation Professional Perspectives. Arthritis Care & Research 2019;71(2):227 View
  56. Gomersall S, Ng N, Burton N, Pavey T, Gilson N, Brown W. Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry. Journal of Medical Internet Research 2016;18(9):e239 View
  57. Dimengo J, Stegall G. Team-Based Care for External Telemonitoring in Patients with Heart Failure. Heart Failure Clinics 2015;11(3):451 View
  58. Constantinescu G, Rieger J, Mummery K, Hodgetts W. Flow and Grit by Design: Exploring Gamification in Facilitating Adherence to Swallowing Therapy. American Journal of Speech-Language Pathology 2017;26(4):1296 View
  59. Zhang P, Godin S, Owens M. Measuring the validity and reliability of the Apple Watch as a physical activity monitor. The Journal of Sports Medicine and Physical Fitness 2019;59(5) View
  60. Brickwood K, Watson G, O'Brien J, Williams A. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2019;7(4):e11819 View
  61. Friederichs S, Oenema A, Bolman C, Lechner L. Motivational interviewing and self-determination theory in a web-based computer tailored physical activity intervention: A randomized controlled trial. Psychology & Health 2016;31(8):907 View
  62. Deka P, Pozehl B, Norman J, Khazanchi D. Feasibility of using the Fitbit® Charge HR in validating self-reported exercise diaries in a community setting in patients with heart failure. European Journal of Cardiovascular Nursing 2018;17(7):605 View
  63. 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 View
  64. Murawski B, Plotnikoff R, Rayward A, Vandelanotte C, Brown W, Duncan M. Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the Synergy Study protocol. BMJ Open 2018;8(2):e018997 View
  65. Bianchi-Hayes J, Schoenfeld E, Cataldo R, Hou W, Messina C, Pati S. Combining Activity Trackers With Motivational Interviewing and Mutual Support to Increase Physical Activity in Parent-Adolescent Dyads: Longitudinal Observational Feasibility Study. JMIR Pediatrics and Parenting 2018;1(1):e3 View
  66. Vogel J, Auinger A, Riedl R, Kindermann H, Helfert M, Ocenasek H, Tang D. Digitally enhanced recovery: Investigating the use of digital self-tracking for monitoring leisure time physical activity of cardiovascular disease (CVD) patients undergoing cardiac rehabilitation. PLOS ONE 2017;12(10):e0186261 View
  67. Prochaska J, Coughlin S, Lyons E. Social Media and Mobile Technology for Cancer Prevention and Treatment. American Society of Clinical Oncology Educational Book 2017;(37):128 View
  68. Strath S, Rowley T. Wearables for Promoting Physical Activity. Clinical Chemistry 2018;64(1):53 View
  69. Kooiman T, Dijkstra A, Kooy A, Dotinga A, van der Schans C, de Groot M. The Role of Self-Regulation in the Effect of Self-Tracking of Physical Activity and Weight on BMI. Journal of Technology in Behavioral Science 2020;5(2):206 View
  70. Dorrell R, Vermillion S, Clark C. Feasibility of real-time location systems in monitoring recovery after major abdominal surgery. Surgical Endoscopy 2017;31(12):5457 View
  71. Felsberg D, Maher J, Rhea C. The State of Behavior Change Techniques in Virtual Reality Rehabilitation of Neurologic Populations. Frontiers in Psychology 2019;10 View
  72. Davergne T, Rakotozafiarison A, Servy H, Gossec L. Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?. Sensors 2020;20(17):4797 View
  73. Lewis Z, Lyons E, Jarvis J, Baillargeon J. Using an electronic activity monitor system as an intervention modality: A systematic review. BMC Public Health 2015;15(1) View
  74. Goode A, Hall K, Batch B, Huffman K, Hastings S, Allen K, Shaw R, Kanach F, McDuffie J, Kosinski A, Williams J, Gierisch J. The Impact of Interventions that Integrate Accelerometers on Physical Activity and Weight Loss: A Systematic Review. Annals of Behavioral Medicine 2017;51(1):79 View
  75. Brakenridge C, Fjeldsoe B, Young D, Winkler E, Dunstan D, Straker L, Brakenridge C, Healy G. Organizational-Level Strategies With or Without an Activity Tracker to Reduce Office Workers’ Sitting Time: Rationale and Study Design of a Pilot Cluster-Randomized Trial. JMIR Research Protocols 2016;5(2):e73 View
  76. Hong Y, Forjuoh S, Ory M, Reis M, Sang H. A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2017;6(9):e183 View
  77. Evenson K, Goto M, Furberg R. Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  78. de Vries H, Kooiman T, van Ittersum M, van Brussel M, de Groot M. Do activity monitors increase physical activity in adults with overweight or obesity? A systematic review and meta‐analysis. Obesity 2016;24(10):2078 View
  79. McCaig D, Elliott M, Prnjak K, Walasek L, Meyer C. Engagement with MyFitnessPal in eating disorders: Qualitative insights from online forums. International Journal of Eating Disorders 2020;53(3):404 View
  80. Kim Y, Seo J, An S, Sinn D, Hwang J. Efficacy and Safety of an mHealth App and Wearable Device in Physical Performance for Patients With Hepatocellular Carcinoma: Development and Usability Study. JMIR mHealth and uHealth 2020;8(3):e14435 View
  81. Ummels D, Beekman E, Moser A, Braun S, Beurskens A. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2020;42(23):3284 View
  82. Ritvo P, Obadia M, Santa Mina D, Alibhai S, Sabiston C, Oh P, Campbell K, McCready D, Auger L, Jones J. Smartphone-Enabled Health Coaching Intervention (iMOVE) to Promote Long-Term Maintenance of Physical Activity in Breast Cancer Survivors: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2017;6(8):e165 View
  83. Middleton L, Hall H, Raeside R. Applications and applicability of Social Cognitive Theory in information science research. Journal of Librarianship and Information Science 2019;51(4):927 View
  84. Katz S, Marshall B. Tracked and fit: FitBits, brain games, and the quantified aging body. Journal of Aging Studies 2018;45:63 View
  85. Geuens J, Swinnen T, Westhovens R, de Vlam K, Geurts L, Vanden Abeele V. A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement. JMIR mHealth and uHealth 2016;4(4):e118 View
  86. Brand L, Beltran A, Hughes S, O'Connor T, Baranowski J, Nicklas T, Chen T, Dadabhoy H, Diep C, Buday R, Baranowski T. Assessing Feedback in a Mobile Videogame. Games for Health Journal 2016;5(3):203 View
  87. Montoye A, Moore R, Bowles H, Korycinski R, Pfeiffer K. Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors. British Journal of Sports Medicine 2018;52(23):1507 View
  88. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836 View
  89. Allicock M, Kendzor D, Sedory A, Gabriel K, Swartz M, Thomas P, Yudkin J, Rivers A. A Pilot and Feasibility Mobile Health Intervention to Support Healthy Behaviors in African American Breast Cancer Survivors. Journal of Racial and Ethnic Health Disparities 2021;8(1):157 View
  90. Thatipelli S, Arun A, Chung P, Etemadi M, Heller J, Kwiat D, Imamura-Ching J, Harrison M, Roy S. Review of Existing Brace Adherence Monitoring Methods to Assess Adherence. JPO Journal of Prosthetics and Orthotics 2016;28(4):126 View
  91. Marin T, Kourbelis C, Foote J, Newman P, Brown A, Daniel M, Coffee N, Nicholls S, Ganesan A, Versace V, Beks H, Haedtke C, Clark R. Examining adherence to activity monitoring devices to improve physical activity in adults with cardiovascular disease: A systematic review. European Journal of Preventive Cardiology 2019;26(4):382 View
  92. O'Reilly M, Whelan D, Ward T, Delahunt E, Caulfield B. Technology in Strength and Conditioning Tracking Lower-Limb Exercises With Wearable Sensors. Journal of Strength and Conditioning Research 2017;31(6):1726 View
  93. Allen L, Christie G. The Emergence of Personalized Health Technology. Journal of Medical Internet Research 2016;18(5):e99 View
  94. Li L, Sayre E, Xie H, Falck R, Best J, Liu-Ambrose T, Grewal N, Hoens A, Noonan G, Feehan L. Efficacy of a Community-Based Technology-Enabled Physical Activity Counseling Program for People With Knee Osteoarthritis: Proof-of-Concept Study. Journal of Medical Internet Research 2018;20(4):e159 View
  95. Hultquist C. Representation in Geosocial Data: Grappling with Uncertainty in Digital Traces of Human Activity. International Journal of Humanities and Arts Computing 2020;14(1-2):218 View
  96. Hooke M, Gilchrist L, Tanner L, Hart N, Withycombe J. Use of a Fitness Tracker to Promote Physical Activity in Children With Acute Lymphoblastic Leukemia. Pediatric Blood & Cancer 2016;63(4):684 View
  97. Iyngkaran P, Biddargardi N, Bastiampillai T, Beneby G. Making sense of health care delivery Where does the close to community health care worker fit in? – The case for congestive heart failure. Indian Heart Journal 2015;67(3):250 View
  98. Lewis Z, Ottenbacher K, Fisher S, Jennings K, Brown A, Swartz M, Martinez E, Lyons E. The feasibility and RE-AIM evaluation of the TAME health pilot study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  99. Wu J, Ho T, Chang Y, Hsu C, Tsai C, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989 View
  100. Brakenridge C, Healy G, Winkler E, Fjeldsoe B. Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation. Interactive Journal of Medical Research 2018;7(1):e5 View
  101. 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 View
  102. Clark M, Driller M. University Student’s Perceptions of Self-Tracking Devices, Data Privacy, and Sharing Digital Data for Research Purposes. Journal for the Measurement of Physical Behaviour 2020;3(2):128 View
  103. Olsen H, Brown W, Kolbe-Alexander T, Burton N. A Brief Self-Directed Intervention to Reduce Office Employees’ Sedentary Behavior in a Flexible Workplace. Journal of Occupational & Environmental Medicine 2018;60(10):954 View
  104. Cooper C, Gross A, Brinkman C, Pope R, Allen K, Hastings S, Bogen B, Goode A. The impact of wearable motion sensing technology on physical activity in older adults. Experimental Gerontology 2018;112:9 View
  105. Miloff A, Marklund A, Carlbring P. The challenger app for social anxiety disorder: New advances in mobile psychological treatment. Internet Interventions 2015;2(4):382 View
  106. Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation. JMIR mHealth and uHealth 2016;4(1):e7 View
  107. Friel C, Garber C. An Examination of the Relationship Between Motivation, Physical Activity, and Wearable Activity Monitor Use. Journal of Sport and Exercise Psychology 2020;42(2):153 View
  108. Khow K, Dollard J, Bray K, Smyth C, Chehade M, Theou O, Visvanathan R. A randomized controlled feasibility study to evaluate the effects of a goal-setting coaching intervention using feedback from an accelerometer on sedentary time in older people at risk of falls (SMART-MOVE): a study protocol. Pilot and Feasibility Studies 2018;4(1) View
  109. Müller A, Wang N, Yao J, Tan C, Low I, Lim N, Tan J, Tan A, Müller-Riemenschneider F. Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study. JMIR mHealth and uHealth 2019;7(10):e14120 View
  110. Wright S, Hall Brown T, Collier S, Sandberg K. How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 2017;312(3):R358 View
  111. Montoye A, Vusich J, Mitrzyk J, Wiersma M. Heart Rate Alters, But Does Not Improve, Calorie Predictions in Fitbit Activity Monitors. Journal for the Measurement of Physical Behaviour 2018;1(1):9 View
  112. Petrov M, Hasanaj K, Hoffmann C, Epstein D, Krahn L, Park J, Hollingshead K, Yu T, Todd M, St. Louis E, Morgenthaler T, Buman M. Rationale, design, and development of SleepWell24: A smartphone application to promote adherence to positive airway pressure therapy among patients with obstructive sleep apnea. Contemporary Clinical Trials 2020;89:105908 View
  113. Hors-Fraile S, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit A, Spachos D, Bamidis P, de Vries H. Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol. BMC Public Health 2018;18(1) View
  114. 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 View
  115. Mackintosh K, Chappel S, Salmon J, Timperio A, Ball K, Brown H, Macfarlane S, Ridgers N. Parental Perspectives of a Wearable Activity Tracker for Children Younger Than 13 Years: Acceptability and Usability Study. JMIR mHealth and uHealth 2019;7(11):e13858 View
  116. Friederichs S, Oenema A, Bolman C, Lechner L. Long term effects of self-determination theory and motivational interviewing in a web-based physical activity intervention: randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  117. Christiansen M, Thoma L, Master H, Voinier D, Schmitt L, Ziegler M, LaValley M, White D. Feasibility and Preliminary Outcomes of a Physical Therapist–Administered Physical Activity Intervention After Total Knee Replacement. Arthritis Care & Research 2020;72(5):661 View
  118. Christmann C, Hoffmann A, Bleser G. Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis. JMIR mHealth and uHealth 2017;5(2):e22 View
  119. Støve M, Holm R, Kjaersgaard A, Duncker K, Jensen M, Larsen B. Measurement latency significantly contributes to reduced heart rate measurement accuracy in wearable devices. Journal of Medical Engineering & Technology 2020;44(3):125 View
  120. Ammenwerth E, Woess S, Baumgartner C, Fetz B, van der Heidt A, Kastner P, Modre-Osprian R, Welte S, Poelzl G. Evaluation of an Integrated Telemonitoring Surveillance System in Patients with Coronary Heart Disease. Methods of Information in Medicine 2015;54(05):388 View
  121. Lewis Z, Swartz M, Martinez E, Lyons E. Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis. JMIR Aging 2019;2(2):e12496 View
  122. Tang M, Moore K, McGavigan A, Clark R, Ganesan A. Effectiveness of Wearable Trackers on Physical Activity in Healthy Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(7):e15576 View
  123. NELSON M, KAMINSKY L, DICKIN D, MONTOYE A. Validity of Consumer-Based Physical Activity Monitors for Specific Activity Types. Medicine & Science in Sports & Exercise 2016;48(8):1619 View
  124. Friederichs S, Bolman C, Oenema A, Verboon P, Lechner L. Exploring the working mechanisms of a web-based physical activity intervention, based on self-determination theory and motivational interviewing. Internet Interventions 2016;3:8 View
  125. Aliverti A. Wearable technology: role in respiratory health and disease. Breathe 2017;13(2):e27 View
  126. Brown H, Bucher T, Collins C, Rollo M. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3) View
  127. Sullivan A, Lachman M. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4 View
  128. Düking P, Tafler M, Wallmann-Sperlich B, Sperlich B, Kleih S. Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis. JMIR mHealth and uHealth 2020;8(11):e20820 View
  129. Schoeppe S, Alley S, Rebar A, Hayman M, Bray N, Van Lippevelde W, Gnam J, Bachert P, Direito A, Vandelanotte C. Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  130. Chiauzzi E, Rodarte C, DasMahapatra P. Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Medicine 2015;13(1) View
  131. Abt G, Bray J, Benson A. The validity and inter-device variability of the Apple Watch™ for measuring maximal heart rate. Journal of Sports Sciences 2018;36(13):1447 View
  132. de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167 View
  133. Griauzde D, Kullgren J, Liestenfeltz B, Ansari T, Johnson E, Fedewa A, Saslow L, Richardson C, Heisler M. A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e11267 View
  134. Lobelo F, Rohm Young D, Sallis R, Garber M, Billinger S, Duperly J, Hutber A, Pate R, Thomas R, Widlansky M, McConnell M, Joy E. Routine Assessment and Promotion of Physical Activity in Healthcare Settings: A Scientific Statement From the American Heart Association. Circulation 2018;137(18) View
  135. Ng K, Badura P, Dzielska A, Kokko S, Woods C, Hamrik Z. Test-retest reliability of survey items on ownership and use of physical activity trackers. Acta Gymnica 2019;49(2):67 View
  136. Myers N, Lee S, Bateman A, Prilleltensky I, Clevenger K, Pfeiffer K, Dietz S, Prilleltensky O, McMahon A, Brincks A. Accelerometer-based assessment of physical activity within the Fun For Wellness online behavioral intervention: protocol for a feasibility study. Pilot and Feasibility Studies 2019;5(1) View
  137. Ehn M, Johansson A, Revenäs Å. 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 View
  138. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
  139. Vandelanotte C, Müller A, Short C, Hingle M, Nathan N, Williams S, Lopez M, Parekh S, Maher C. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior 2016;48(3):219 View
  140. Glasheen E, Domingo A, Kressler J. Accuracy of Apple Watch fitness tracker for wheelchair use varies according to movement frequency and task. Annals of Physical and Rehabilitation Medicine 2021;64(1):101382 View
  141. Pevnick J, Birkeland K, Zimmer R, Elad Y, Kedan I. Wearable technology for cardiology: An update and framework for the future. Trends in Cardiovascular Medicine 2018;28(2):144 View
  142. Phatak S, Freigoun M, Martín C, Rivera D, Korinek E, Adams M, Buman M, Klasnja P, Hekler E. Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. Journal of Biomedical Informatics 2018;79:82 View
  143. Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81 View
  144. Šimůnek A, Dygrýn J, Jakubec L, Neuls F, Frömel K, Welk G. Validity of Garmin Vívofit 1 and Garmin Vívofit 3 for School-Based Physical Activity Monitoring. Pediatric Exercise Science 2019;31(1):130 View
  145. Rote A. Physical activity intervention using Fitbits in an introductory college health course. Health Education Journal 2017;76(3):337 View
  146. Friedenreich C, Pader J, Barberio A, Ruan Y, Poirier A, Grevers X, Walter S, Villeneuve P, Brenner D. Estimates of the current and future burden of cancer attributable to sedentary behavior in Canada. Preventive Medicine 2019;122:73 View
  147. Goldenhersch E, Thrul J, Ungaretti J, Rosencovich N, Waitman C, Ceberio M. Virtual Reality Smartphone-Based Intervention for Smoking Cessation: Pilot Randomized Controlled Trial on Initial Clinical Efficacy and Adherence. Journal of Medical Internet Research 2020;22(7):e17571 View
  148. Seah M, Koh K. The efficacy of using mobile applications in changing adolescent girls’ physical activity behaviour during weekends. European Physical Education Review 2021;27(1):113 View
  149. BAI Y, WELK G, NAM Y, LEE J, LEE J, KIM Y, MEIER N, DIXON P. Comparison of Consumer and Research Monitors under Semistructured Settings. Medicine & Science in Sports & Exercise 2016;48(1):151 View
  150. Han M, Cho B, Kwon H, Son K, Lee H, Lee J, Park J. A Mobile-Based Comprehensive Weight Reduction Program for the Workplace (Health-On): Development and Pilot Study. JMIR mHealth and uHealth 2019;7(11):e11158 View
  151. Pope Z, Zeng N, Zhang R, Lee H, Gao Z. Effectiveness of Combined Smartwatch and Social Media Intervention on Breast Cancer Survivor Health Outcomes: A 10-Week Pilot Randomized Trial. Journal of Clinical Medicine 2018;7(6):140 View
  152. Naslund J, Aschbrenner K, Bartels S. Wearable devices and smartphones for activity tracking among people with serious mental illness. Mental Health and Physical Activity 2016;10:10 View
  153. Taj F, Klein M, van Halteren A. Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research. JMIR mHealth and uHealth 2019;7(12):e13311 View
  154. Gremaud A, Carr L, Simmering J, Evans N, Cremer J, Segre A, Polgreen L, Polgreen P. Gamifying Accelerometer Use Increases Physical Activity Levels of Sedentary Office Workers. Journal of the American Heart Association 2018;7(13) View
  155. Gaudet J, Gallant F, Bélanger M. A Bit of Fit: Minimalist Intervention in Adolescents Based on a Physical Activity Tracker. JMIR mHealth and uHealth 2017;5(7):e92 View
  156. Silveira S, Motl R. Activity monitor use among persons with multiple sclerosis: Report on rate, pattern, and association with physical activity levels. Multiple Sclerosis Journal - Experimental, Translational and Clinical 2019;5(4) View
  157. Jacquemin C, Molto A, Servy H, Sellam J, Foltz V, Gandjbakhch F, Hudry C, Mitrovic S, Granger B, Fautrel B, Gossec L. Flares assessed weekly in patients with rheumatoid arthritis or axial spondyloarthritis and relationship with physical activity measured using a connected activity tracker: a 3-month study. RMD Open 2017;3(1):e000434 View
  158. Nation-Grainger S. ‘It’s just PE’ till ‘It felt like a computer game’: using technology to improve motivation in physical education. Research Papers in Education 2017;32(4):463 View
  159. Lawrie S, Dong Y, Steins D, Xia Z, Esser P, Sun S, Li F, Amor J, James C, Izadi H, Cao Y, Wade D, Mayo N, Dawes H. Evaluation of a smartwatch-based intervention providing feedback of daily activity within a research-naive stroke ward: a pilot randomised controlled trial. Pilot and Feasibility Studies 2018;4(1) View
  160. Ryan K, Murphy L, Linehan C, Dockray S. Theory in practice: identifying theory-based techniques in health coaches’ tailored feedback during a weight loss intervention. Psychology & Health 2020;35(11):1384 View
  161. Liu J, Kor P, Chan C, Kwan R, Cheung D. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics 2020;91:104211 View
  162. Gyuk P, Vassányi I, Kósa I. Blood Glucose Level Prediction for Diabetics Based on Nutrition and Insulin Administration Logs Using Personalized Mathematical Models. Journal of Healthcare Engineering 2019;2019:1 View
  163. Müller A, Khoo S, Morris T. Text Messaging for Exercise Promotion in Older Adults From an Upper-Middle-Income Country: Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(1):e5 View
  164. Hickey A, Freedson P. Utility of Consumer Physical Activity Trackers as an Intervention Tool in Cardiovascular Disease Prevention and Treatment. Progress in Cardiovascular Diseases 2016;58(6):613 View
  165. Dominick G, Winfree K, Pohlig R, Papas M. Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions. JMIR mHealth and uHealth 2016;4(3):e110 View
  166. Brandt C, Søgaard G, Clemensen J, Sndergaard J, Nielsen J. General Practitioners’ Perspective on eHealth and Lifestyle Change: Qualitative Interview Study. JMIR mHealth and uHealth 2018;6(4):e88 View
  167. Lee B, Xie J, Ajisafe T, Kim S. How Are Wearable Activity Trackers Adopted in Older Adults? Comparison between Subjective Adoption Attitudes and Physical Activity Performance. International Journal of Environmental Research and Public Health 2020;17(10):3461 View
  168. Maxwell‐Smith C, Hince D, Cohen P, Bulsara M, Boyle T, Platell C, Tan P, Levitt M, Salama P, Tan J, Salfinger S, Makin G, Mohan G, Jiménez‐Castuera R, Hardcastle S. A randomized controlled trial of WATAAP to promote physical activity in colorectal and endometrial cancer survivors. Psycho-Oncology 2019;28(7):1420 View
  169. Bardus M, Smith J, Samaha L, Abraham C. Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review. Journal of Medical Internet Research 2015;17(11):e259 View
  170. Park H, Kim K, Soh J, Hyun Y, Jang S, Lee S, Hwang G, Kim H. Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study. JMIR mHealth and uHealth 2020;8(6):e16723 View
  171. Spanakis E, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen J, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128 View
  172. Helf C, Hlavacs H. Apps for life change: Critical review and solution directions. Entertainment Computing 2016;14:17 View
  173. Goyal S, Morita P, Lewis G, Yu C, Seto E, Cafazzo J. The Systematic Design of a Behavioural Mobile Health Application for the Self-Management of Type 2 Diabetes. Canadian Journal of Diabetes 2016;40(1):95 View
  174. Ehn M, Eriksson L, 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 View
  175. 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 View
  176. Wang Y, Sun L, Hou J. Hierarchical Medical System Based on Big Data and Mobile Internet: A New Strategic Choice in Health Care. JMIR Medical Informatics 2017;5(3):e22 View
  177. Andrieu B. L’osmose technique avec son corps viv@nt : une auto-santé connectée du patient immersif. L'Évolution Psychiatrique 2016;81(2):253 View
  178. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1) View
  179. Macridis S, Johnston N, Johnson S, Vallance J, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298 View
  180. Thomson C, Wilson R, Collerton D, Freeston M, Dudley R. Cognitive behavioural therapy for visual hallucinations: an investigation using a single-case experimental design. The Cognitive Behaviour Therapist 2017;10 View
  181. Christiansen M, Thoma L, Master H, Schmitt L, Pohlig R, White D. A Physical Therapist–Administered Physical Activity Intervention After Total Knee Replacement: Protocol for a Randomized Controlled Trial. Physical Therapy 2018;98(7):578 View
  182. Bice M, Ball J, Hollman A, Adkins M. Health Technology Use: Implications for Physical Activity Behaviors Among College Students. International Journal of Kinesiology in Higher Education 2019;3(1):23 View
  183. Forbes C, Blanchard C, Mummery W, Courneya K. A pilot study on the motivational effects of an internet-delivered physical activity behaviour change programme in Nova Scotian cancer survivors. Psychology & Health 2017;32(2):234 View
  184. Hawkins M, Iradukunda F, Paterno M. Feasibility of a Sleep Self-Management Intervention in Pregnancy Using a Personalized Health Monitoring Device: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2019;8(5):e12455 View
  185. Li J, Hodgson N, Lyons M, Chen K, Yu F, Gooneratne N. A personalized behavioral intervention implementing mHealth technologies for older adults: A pilot feasibility study. Geriatric Nursing 2020;41(3):313 View
  186. Turner-McGrievy G, Hales S, Schoffman D, Valafar H, Brazendale K, Weaver R, Beets M, Wirth M, Shivappa N, Mandes T, Hébert J, Wilcox S, Hester A, McGrievy M. Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies. Translational Behavioral Medicine 2017;7(2):224 View
  187. Ng K, Tynjälä J, Kokko S. Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e61 View
  188. Garnett C, Crane D, Brown J, Kaner E, Beyer F, Muirhead C, Hickman M, Beard E, Redmore J, de Vocht F, Michie S. Behavior Change Techniques Used in Digital Behavior Change Interventions to Reduce Excessive Alcohol Consumption: A Meta-regression. Annals of Behavioral Medicine 2018;52(6):530 View
  189. Esakia A, McCrickard S, Harden S, Horning M, Ramalingam N. Using smartwatches to facilitate a group dynamics-based statewide physical activity intervention. International Journal of Human-Computer Studies 2020;142:102501 View
  190. Phan T, Barnini N, Xie S, Martinez A, Falini L, Abatemarco A, Waldron M, Benton J, Frankenberry S, Coleman C, Nguyen L, Bo C, Datto G, Werk L. Feasibility of Using a Commercial Fitness Tracker as an Adjunct to Family-Based Weight Management Treatment: Pilot Randomized Trial. JMIR mHealth and uHealth 2018;6(11):e10523 View
  191. Higgins J. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11 View
  192. Lewis Z, Ottenbacher K, Fisher S, Jennings K, Brown A, Swartz M, Lyons E. Testing Activity Monitors’ Effect on Health: Study Protocol for a Randomized Controlled Trial Among Older Primary Care Patients. JMIR Research Protocols 2016;5(2):e59 View
  193. Walsh D, Moran K, Cornelissen V, Buys R, Claes J, Zampognaro P, Melillo F, Maglaveras N, Chouvarda I, Triantafyllidis A, Filos D, Woods C. The development and codesign of the PATHway intervention: a theory-driven eHealth platform for the self-management of cardiovascular disease. Translational Behavioral Medicine 2019;9(1):76 View
  194. Kim Y, Lochbaum M. Comparison of Polar Active Watch and Waist- and Wrist-Worn ActiGraph Accelerometers for Measuring Children’s Physical Activity Levels during Unstructured Afterschool Programs. International Journal of Environmental Research and Public Health 2018;15(10):2268 View
  195. Brandt C, Clemensen J, Nielsen J, Søndergaard J. Drivers for successful long-term lifestyle change, the role of e-health: a qualitative interview study. BMJ Open 2018;8(3):e017466 View
  196. Stephenson A, McDonough S, Murphy M, Nugent C, Mair J. Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  197. Lynch B, Nguyen N, Reeves M, Moore M, Rosenberg D, Wheeler M, Boyle T, Vallance J, Friedenreich C, English D. Study design and methods for the ACTIVity And TEchnology (ACTIVATE) trial. Contemporary Clinical Trials 2018;64:112 View
  198. Wong C, Mentis H, Kuber R. The bit doesn’t fit: Evaluation of a commercial activity-tracker at slower walking speeds. Gait & Posture 2018;59:177 View
  199. Duff O, Walsh D, Malone S, McDermott L, Furlong B, O'Connor N, Moran K, Woods C. MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development. JMIR Formative Research 2018;2(1):e8 View
  200. Davergne T, Rengaux J. Efficacité des traceurs d’activité pour augmenter l’activité physique : revue systématique. Kinésithérapie, la Revue 2017;17(184):19 View
  201. Maxwell-Smith C, Cohen P, Platell C, Tan P, Levitt M, Salama P, Makin G, Tan J, Salfinger S, Kader Ali Mohan G, Kane R, Hince D, Jiménez-Castuera R, Hardcastle S. Wearable Activity Technology And Action-Planning (WATAAP) to promote physical activity in cancer survivors: Randomised controlled trial protocol. International Journal of Clinical and Health Psychology 2018;18(2):124 View
  202. Friel C, Cornelius T, Diaz K. Factors associated with long-term wearable physical activity monitor user engagement. Translational Behavioral Medicine 2021;11(1):262 View
  203. Kim B, Lee D, Min A, Paik S, Frey G, Bellini S, Han K, Shih P, Lee S. PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorder. PLOS ONE 2020;15(9):e0237966 View
  204. Dedov V, Dedova I. Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e11 View
  205. MIDDELWEERD A, VAN DER PLOEG H, VAN HALTEREN A, TWISK J, BRUG J, TE VELDE S. A Validation Study of the Fitbit One in Daily Life Using Different Time Intervals. Medicine & Science in Sports & Exercise 2017;49(6):1270 View
  206. Optale G, Burigat S, Chittaro L, Riva G. Smartphone-Based Therapeutic Exercises for Men Affected by Premature Ejaculation: A Pilot Study. Sexual Medicine 2020;8(3):461 View
  207. Foong Y, Chherawala N, Aitken D, Scott D, Winzenberg T, Jones G. Accelerometer‐determined physical activity, muscle mass, and leg strength in community‐dwelling older adults. Journal of Cachexia, Sarcopenia and Muscle 2016;7(3):275 View
  208. Li L, Feehan L, Xie H, Lu N, Shaw C, Gromala D, Zhu S, Aviña-Zubieta J, Hoens A, Koehn C, Tam J, Therrien S, Townsend A, Noonan G, Backman C. Effects of a 12-Week Multifaceted Wearable-Based Program for People With Knee Osteoarthritis: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e19116 View
  209. Colberg S, Sigal R, Yardley J, Riddell M, Dunstan D, Dempsey P, Horton E, Castorino K, Tate D. Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association. Diabetes Care 2016;39(11):2065 View
  210. 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 View
  211. Clayton C, Feehan L, Goldsmith C, Miller W, Grewal N, Ye J, Yoo J, Li L. Feasibility and preliminary efficacy of a physical activity counseling intervention using Fitbit in people with knee osteoarthritis: the TRACK-OA study protocol. Pilot and Feasibility Studies 2015;1(1) View
  212. Mrklas K, Barber T, Campbell-Scherer D, Green L, Li L, Marlett N, Miller J, Shewchuk B, Teare S, Wasylak T, Marshall D. Co-Design in the Development of a Mobile Health App for the Management of Knee Osteoarthritis by Patients and Physicians: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17893 View
  213. Kinsey A, Whipple M, Reid L, Affuso O. Formative Assessment: Design of a Web-Connected Sedentary Behavior Intervention for Females. JMIR Human Factors 2017;4(4):e28 View
  214. Lynch B, Nguyen N, Moore M, Reeves M, Rosenberg D, Boyle T, Vallance J, Milton S, Friedenreich C, English D. A randomized controlled trial of a wearable technology‐based intervention for increasing moderate to vigorous physical activity and reducing sedentary behavior in breast cancer survivors: The ACTIVATE Trial. Cancer 2019;125(16):2846 View
  215. Li L, Peng W, Kononova A, Bowen M, Cotten S. Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers. Telemedicine and e-Health 2020;26(6):769 View
  216. Tam K, Cheung S. Validation of Electronic Activity Monitor Devices During Treadmill Walking. Telemedicine and e-Health 2018;24(10):782 View
  217. Cadmus-Bertram L, Marcus B, Patterson R, Parker B, Morey B. Use of the Fitbit to Measure Adherence to a Physical Activity Intervention Among Overweight or Obese, Postmenopausal Women: Self-Monitoring Trajectory During 16 Weeks. JMIR mHealth and uHealth 2015;3(4):e96 View
  218. Hong Y, Goldberg D, Ory M, Towne Jr S, Forjuoh S, Kellstedt D, Wang S. Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study. JMIR Cancer 2015;1(1):e7 View
  219. Chang R, 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 View
  220. Evans A, Collins G, Rosquist P, Tuttle N, Morrin S, Tracy J, Jake Merrell A, Christensen W, Fullwood D, Bowden A, Seeley M. A Novel Method to Characterize Walking and Running Energy Expenditure. Journal for the Measurement of Physical Behaviour 2018;1(3):100 View
  221. Jarrahi M, Gafinowitz N, Shin G. Activity trackers, prior motivation, and perceived informational and motivational affordances. Personal and Ubiquitous Computing 2018;22(2):433 View
  222. Swendeman D, Ramanathan N, Baetscher L, Medich M, Scheffler A, Comulada W, Estrin D. Smartphone Self-Monitoring to Support Self-Management Among People Living With HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes 2015;69(Supplement 1):S80 View
  223. Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954 View
  224. Lewis Z, Ottenbacher K, Fisher S, Jennings K, Brown A, Swartz M, Martinez E, Lyons E. Effect of Electronic Activity Monitors and Pedometers on Health: Results from the TAME Health Pilot Randomized Pragmatic Trial. International Journal of Environmental Research and Public Health 2020;17(18):6800 View
  225. Valle C, Pinto B, LaRose J, Diamond M, Horrell L, Nezami B, Hatley K, Coffman E, Polzien K, Hales D, Deal A, Rini C, Rosenstein D, Tate D. Promoting physical activity in young adult cancer survivors using mHealth and adaptive tailored feedback strategies: Design of the Improving Physical Activity after Cancer Treatment (IMPACT) randomized controlled trial. Contemporary Clinical Trials 2021;103:106293 View
  226. Lyons E, Swartz M. MOTIVATIONAL DYNAMICS OF WEARABLE ACTIVITY MONITORS. ACSM'S Health & Fitness Journal 2017;21(5):21 View
  227. Keaver L, Loftus A, Quinn L. A review of iPhone and Android apps for cancer patients and survivors: assessing their quality, nutrition information and behaviour change techniques. Journal of Human Nutrition and Dietetics 2021;34(3):572 View
  228. Abouzahra M, Ghasemaghaei M. Effective use of information technologies by seniors: the case of wearable device use. European Journal of Information Systems 2022;31(2):241 View
  229. Zhou W, Zhang M. RETRACTED: Research on children's personalized sports in the environment of smart wearable devices. Microprocessors and Microsystems 2021;81:103758 View
  230. 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 View
  231. Rieder A, Eseryel U, Lehrer C, Jung R. Why Users Comply with Wearables: The Role of Contextual Self-Efficacy in Behavioral Change. International Journal of Human–Computer Interaction 2021;37(3):281 View
  232. Li L, Feehan L, Xie H, Lu N, Shaw C, Gromala D, Aviña‐Zubieta J, Koehn C, Hoens A, English K, Tam J, Therrien S, Townsend A, Noonan G, Backman C. Efficacy of a Physical Activity Counseling Program With Use of a Wearable Tracker in People With Inflammatory Arthritis: A Randomized Controlled Trial. Arthritis Care & Research 2020;72(12):1755 View
  233. Hayman M, Alfrey K, Cannon S, Alley S, Rebar A, Williams S, Short C, Altazan A, Comardelle N, Currie S, Denton C, Harrison C, Lamerton T, Mena G, Moran L, Mottola M, Nagpal T, Vincze L, Schoeppe S. Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(4):e23649 View
  234. Chan C, Sounderajah V, Normahani P, Acharya A, Markar S, Darzi A, Bicknell C, Riga C. Wearable Activity Monitors in Home Based Exercise Therapy for Patients with Intermittent Claudication: A Systematic Review. European Journal of Vascular and Endovascular Surgery 2021;61(4):676 View
  235. Lewis Z, Cannon M, Rubio G, Swartz M, Lyons E. Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors. Technologies 2020;8(4):75 View
  236. Ahmad A, Rasul T, Yousaf A, Zaman U. Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM). Journal of Open Innovation: Technology, Market, and Complexity 2020;6(3):81 View
  237. FARMAN M, AKGÜL A, AHMAD A. Analysis and Simulation of Fractional-Order Diabetes Model. Advances in the Theory of Nonlinear Analysis and its Application 2020;4(4):483 View
  238. Paganini S, Terhorst Y, Sander L, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer L, Lin J, Wurst R, Pryss R, Baumeister H, Messner E. Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e22587 View
  239. Vogel R, Nagler R, Ahmed R, Brown K, Luo X, Martinson B, Lazovich D. UVR-sensor wearable device intervention to improve sun behaviors and reduce sunburns in melanoma survivors: study protocol of a parallel-group randomized controlled trial. Trials 2020;21(1) View
  240. Hardcastle S, Jiménez-Castuera R, Maxwell-Smith C, Bulsara M, 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 View
  241. John J, Wang J, McNeill L, Basen-Engquist K, Hoover D, Daniel C, Strong L. A Mixed Methods Study on Engagement and Satisfaction with a Digitally-Enhanced Pilot Intervention Among African American and Hispanic Women. Journal of Immigrant and Minority Health 2021;23(5):1011 View
  242. Hsiao W, Paterno M, Iradukunda F, Hawkins' M. The Preliminary Efficacy of a Sleep Self-management Intervention Using a Personalized Health Monitoring Device during Pregnancy. Behavioral Sleep Medicine 2021;19(6):705 View
  243. Blair C, Harding E, Wiggins C, Kang H, Schwartz M, Tarnower A, Du R, Kinney A. A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial. JMIR Cancer 2021;7(2):e18819 View
  244. Saleem M, Aslam M, Akgül A, Farman M, Bibi R. Controllability of PDEs model for type 1 diabetes. Mathematical Methods in the Applied Sciences 2022;45(15):8800 View
  245. Ridgers N, Timperio A, Ball K, Lai S, Brown H, Macfarlane S, Salmon J. Effect of commercial wearables and digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas: the RAW-PA cluster-randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  246. Nuss K, Li K. Motivation for physical activity and physcial activity engagement in current and former wearable fitness tracker users: A mixed-methods examination. Computers in Human Behavior 2021;121:106798 View
  247. Leung W, Case L, Jung J, Yun J. Factors associated with validity of consumer-oriented wearable physical activity trackers: a meta-analysis. Journal of Medical Engineering & Technology 2021;45(3):223 View
  248. Hajna S, Sharp S, Cooper A, Williams K, van Sluijs E, Brage S, Griffin S, Sutton S. Effectiveness of Minimal Contact Interventions: An RCT. American Journal of Preventive Medicine 2021;60(3):e111 View
  249. Ballinger T, Althouse S, Olsen T, Miller K, Sledge J. A Personalized, Dynamic Physical Activity Intervention Is Feasible and Improves Energetic Capacity, Energy Expenditure, and Quality of Life in Breast Cancer Survivors. Frontiers in Oncology 2021;11 View
  250. Walsh J, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly M, Harney O, Groarke J. Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e24915 View
  251. Tincopa M, Lyden A, Wong J, Jackson E, Richardson C, Lok A. Impact of a Pilot Structured Mobile Technology Based Lifestyle Intervention for Patients with Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences 2022;67(2):481 View
  252. Ummels D, Beekman E, Braun S, Beurskens A. Using an Activity Tracker in Healthcare: Experiences of Healthcare Professionals and Patients. International Journal of Environmental Research and Public Health 2021;18(10):5147 View
  253. Lehrer C, Eseryel U, Rieder A, Jung R. Behavior change through wearables: the interplay between self-leadership and IT-based leadership. Electronic Markets 2021;31(4):747 View
  254. Tajudeen F, Bahar N, Maw Pin T, Saedon N. Mobile Technologies and Healthy Ageing: A Bibliometric Analysis on Publication Trends and Knowledge Structure of mHealth Research for Older Adults. International Journal of Human–Computer Interaction 2022;38(2):118 View
  255. Millet N, McDermott H, Moss E, Edwardson C, Munir F. Increasing physical activity levels following treatment for cervical cancer: an intervention mapping approach. Journal of Cancer Survivorship 2022;16(3):650 View
  256. St Fleur R, St George S, Leite R, Kobayashi M, Agosto Y, Jake-Schoffman D. Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review. JMIR mHealth and uHealth 2021;9(5):e23411 View
  257. Kong S, Lee J, Kang D, Kim N, Shim Y, Park W, Choi D, Cho J. Comparing the Effectiveness of a Wearable Activity Tracker in Addition to Counseling and Counseling Only to Reinforce Leisure-Time Physical Activity among Breast Cancer Patients: A Randomized Controlled Trial. Cancers 2021;13(11):2692 View
  258. Mago A, Aggarwal V, Gupta L. Telerheumatology and its interplay with patient-initiated care. Rheumatology International 2021;41(10):1883 View
  259. Rheu M, Peng W, Haung K. Leveraging Upward Social Comparison in Social Media to Promote Healthy Parenting. Health Communication 2023;38(2):205 View
  260. Manocha A, Kumar G, Bhatia M, Sharma A. IoT-inspired machine learning-assisted sedentary behavior analysis in smart healthcare industry. Journal of Ambient Intelligence and Humanized Computing 2023;14(5):5179 View
  261. König L, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037 View
  262. Lucerón-Lucas-Torres M, Valera-Ortín J. TIC en actividad física y parámetros cardiovasculares en mayores: una revisión. Enfermería Clínica 2022;32(3):171 View
  263. Barkley J, Farnell G, Boyko B, Turner B, Wiet R. Impact of Activity Monitoring on Physical Activity, Sedentary Behavior, and Body Weight during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(14):7518 View
  264. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  265. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517 View
  266. Leung W, Case L, Sung M, Jung J. A meta-analysis of Fitbit devices: same company, different models, different validity evidence. Journal of Medical Engineering & Technology 2022;46(2):102 View
  267. Ferguson T, Olds T, Curtis R, Blake H, Crozier A, Dankiw K, Dumuid D, Kasai D, O'Connor E, Virgara R, Maher C. Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. The Lancet Digital Health 2022;4(8):e615 View
  268. Flood S, Thompson B, Faulkner G, Vanderloo L, Blackett B, Dolf M, Latimer-Cheung A, Duggan M, Di Sebastiano K, Lane K, Brouwers M, McKenna J, Chulak-Bozzer T, Fuller D, Ruissen G, Sturrock S, Tomasone J. Development of a ParticipACTION App–Based Intervention for Improving Postsecondary Students’ 24-Hour Movement Guideline Behaviors: Protocol for the Application of Intervention Mapping. JMIR Research Protocols 2023;12:e39977 View
  269. Liu J, Kwan R, Yin Y, Lee P, Siu J, 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 View
  270. Standen E, Rothman A. Capitalizing on the potential of mobile health applications as behavioral interventions: A research agenda for calorie‐tracking and activity‐tracking applications. Social and Personality Psychology Compass 2023;17(3) View
  271. Bolou A, Lanz D, Drymoussi Z, Gonzalez Carreras F, Austin F, Dodds J, Mehay A, Pizzo E, Thomas A, Heighway J, Sanghi A, Harden A, Pérez T, Pardo Llorente M, Hitman G, Huda M, Thangaratinam S. Acceptability and adherence to a Mediterranean diet in the postnatal period to prevent type 2 diabetes in women with gestational diabetes in the UK: a protocol for a single-arm feasibility study (MERIT). BMJ Open 2021;11(12):e050099 View
  272. Utesch T, Piesch L, Busch L, Strauss B, Geukes K. Self-tracking of daily physical activity using a fitness tracker and the effect of the 10,000 steps goal. German Journal of Exercise and Sport Research 2022;52(2):300 View
  273. Valcarce-Torrente M, Javaloyes V, Gallardo L, García-Fernández J, Planas-Anzano A. Influence of Fitness Apps on Sports Habits, Satisfaction, and Intentions to Stay in Fitness Center Users: An Experimental Study. International Journal of Environmental Research and Public Health 2021;18(19):10393 View
  274. Sevic A, Hashemi N, Thørrisen M, Strømstad K, Skarpaas L, Storm M, Brønnick K. Effectiveness of eHealth Interventions Targeting Employee Health Behaviors: Systematic Review. Journal of Medical Internet Research 2023;25:e38307 View
  275. Master H, Bley J, Coronado R, Robinette P, White D, Pennings J, Archer K, Bergman P. Effects of physical activity interventions using wearables to improve objectively-measured and patient-reported outcomes in adults following orthopaedic surgical procedures: A systematic review. PLOS ONE 2022;17(2):e0263562 View
  276. Brown R, Pearse J, Nappey T, Jackson D, Edmonds G, Guan Y, Basu A. Wrist-Worn devices to encourage affected upper limb movement in unilateral cerebral palsy: Participatory design workshops. Frontiers in Rehabilitation Sciences 2022;3 View
  277. Wlasak W, Zwanenburg S, Paton C. Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment. JMIR Formative Research 2023;7:e38500 View
  278. Mahmood A, Kim H, Kedia S, Dillon P. Wearable Activity Tracker Use and Physical Activity Among Informal Caregivers in the United States: Quantitative Study. JMIR mHealth and uHealth 2022;10(11):e40391 View
  279. Hsieh H, Huang Y, Ma S, Wang Y. Occupational burnout and stress of nurses in Taiwan regarding COVID‐19: An intervention with gong medication. Journal of Nursing Management 2022;30(8):3909 View
  280. Lin S, 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 View
  281. de Leeuwerk M, Bor P, van der Ploeg H, de Groot V, van der Schaaf M, van der Leeden M, Geleijn E, van Vliet V, Geelen S, Huijsmans R, Kruizenga H, Weijs P, ten Dam S, Besselink M, Dickhoff C, Tuynman J, van Berge Henegouwen M, Eskes A, Pijnappels M, Ket J, Heijmans M. The effectiveness of physical activity interventions using activity trackers during or after inpatient care: a systematic review and meta-analysis of randomized controlled trials. International Journal of Behavioral Nutrition and Physical Activity 2022;19(1) View
  282. Zanaboni P, Manskow U, Sagelv E, Morseth B, Edvardsen A, Aamot I, Nes B, Hastings B, Gagnon M, Antypas K. Digital interventions to promote physical activity among inactive adults: A study protocol for a hybrid type I effectiveness-implementation randomized controlled trial. Frontiers in Public Health 2022;10 View
  283. Zytnick D, Folta S, Reid K, Chomitz V. Better Understanding Wearable Activity Monitor Use and Non-Use Among Older Adults: A Qualitative Study. Journal of Applied Gerontology 2023;42(3):447 View
  284. Lucerón-Lucas-Torres M, Valera-Ortín J. Health technology tools used to increase physical activity and improve cardiovascular parameters in older adults: A review. Enfermería Clínica (English Edition) 2022;32(3):171 View
  285. Turner A, Jackson D, Officer E, Boyne-Nelson C, Zielinska Z, Dinraj D, Blickwedel J, Nappey T, Rapley T, Turpin H, Cadwgan J, Pearse J, Basu A. Can wrist-worn devices and a smartphone application influence arm activity in children with unilateral cerebral palsy? A proof-of-concept study. Frontiers in Rehabilitation Sciences 2023;3 View
  286. Soltero E, Lopez C, Musaad S, O'Connor T, Thompson D. Fit24, a digital health intervention to reduce type 2 diabetes risk among Hispanic youth: Protocol for a feasibility pilot study. Contemporary Clinical Trials 2023;127:107117 View
  287. Ráthonyi G, Takács V, Szilágyi R, Bácsné Bába É, Müller A, Bács Z, Harangi-Rákos M, Balogh L, Ráthonyi-Odor K. Your Physical Activity Is in Your Hand—Objective Activity Tracking Among University Students in Hungary, One of the Most Obese Countries in Europe. Frontiers in Public Health 2021;9 View
  288. Tong H, Maher C, Parker K, Pham T, Neves A, Riordan B, Chow C, Laranjo L, Quiroz J, König L. The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey. PLOS Digital Health 2022;1(8):e0000087 View
  289. Block V, Bove R, Nourbakhsh B. The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review. Frontiers in Neurology 2022;13 View
  290. Hahm J, Choi H, Matsuoka H, Kim J, Byon K. Understanding the relationship between acceptance of multifunctional health and fitness features of wrist-worn wearables and actual usage. International Journal of Sports Marketing and Sponsorship 2023;24(2):333 View
  291. Düking P, Van Hooren B, Sperlich B. Assessment of Peak Oxygen Uptake with a Smartwatch and its Usefulness for Training of Runners. International Journal of Sports Medicine 2022;43(07):642 View
  292. Tuominen M, Suorsa K, Pentti J, Koski P, Stenholm S, Leskinen T. The Impact of a 12-Month Activity Tracker Intervention on Activity Behavior Across Body Mass Index Subgroups Among Recent Retirees: Post Hoc Analysis of a Randomized Controlled Trial. Journal of Physical Activity and Health 2021;18(12):1563 View
  293. Tandon P, Purdy G, Ismond K, Cruz C, Etruw E, Suderman K, Hyde A, Stickland M, Spence J, Lien D, Bhanji R, Prado C, Cruz A, Joy A, Yaskina M, Round J, Harback K, Padwal R, McNeely M. Heal-me PiONEer (personalized online nutrition and exercise): An RCT assessing 2 levels of app-based programming in individuals with chronic disease. Contemporary Clinical Trials 2022;118:106791 View
  294. Zhang Z, Giordani B, Margulis A, Chen W. Efficacy and acceptability of using wearable activity trackers in older adults living in retirement communities: a mixed method study. BMC Geriatrics 2022;22(1) View
  295. Xu L, Shi H, Shen M, Ni Y, Zhang X, Pang Y, Yu T, Lian X, Yu T, Yang X, Li F. The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review. JMIR mHealth and uHealth 2022;10(2):e27794 View
  296. Thanigaimani S, Jin H, Silva M, Golledge J. Network Meta-Analysis of Trials Testing If Home Exercise Programs Informed by Wearables Measuring Activity Improve Peripheral Artery Disease Related Walking Impairment. Sensors 2022;22(20):8070 View
  297. Western M, Armstrong M, Islam I, Morgan K, Jones U, Kelson M. The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  298. Leese J, Zhu S, Townsend A, Backman C, Nimmon L, Li L. Ethical issues experienced by persons with rheumatoid arthritis in a wearable‐enabled physical activity intervention study. Health Expectations 2022;25(4):1418 View
  299. Chung J, Brakey H, 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) View
  300. Le S, Wang X, Zhang T, Lei S, Cheng S, Yao W, Schumann M. Validity of three smartwatches in estimating energy expenditure during outdoor walking and running. Frontiers in Physiology 2022;13 View
  301. Morgan-Jones P, Jones A, Busse M, Mills L, Pallmann P, Drew C, Arnesen A, Wood F. Monitoring and Managing Lifestyle Behaviors Using Wearable Activity Trackers: Mixed Methods Study of Views From the Huntington Disease Community. JMIR Formative Research 2022;6(6):e36870 View
  302. Ríos C. La influencia sobre el comportamiento y la ‘asetización’ de la privacidad como asunto contemporáneo. Revista de Derecho Privado 2020;(39):263 View
  303. Lai M, Mong M, Cheng L, Lau Y. The effect of wearable‐delivered sleep interventions on sleep outcomes among adults: A systematic review and meta‐analysis of randomized controlled trials. Nursing & Health Sciences 2023;25(1):44 View
  304. Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118 View
  305. Östlind E, Ekvall Hansson E, Eek F, Stigmar K. Experiences of activity monitoring and perceptions of digital support among working individuals with hip and knee osteoarthritis – a focus group study. BMC Public Health 2022;22(1) View
  306. Martin N, Hultman R. Applicability of Fitness Trackers in the Physical Education of Fifth- and Sixth-Grade Students. Journal of Physical Education, Recreation & Dance 2022;93(6):29 View
  307. Bentley J, Yu X, Karmarkar A, Downer B, Prochaska J, Lyons E. Feasibility and thematic analysis of narrative visualization materials with physical activity monitoring among breast cancer survivors. BMC Cancer 2022;22(1) View
  308. Tsai J, Hung S, Lin G. Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality. Electronic Markets 2022;32(3):1661 View
  309. Halttu K, Oinas-Kukkonen H. Need for Cognition Among Users of Self-Monitoring Systems for Physical Activity: Survey Study. JMIR Formative Research 2021;5(10):e23968 View
  310. Merkouris S, Rodda S, Aarsman S, Hodgins D, Dowling N. Effective behaviour change techniques for family and close friends: A systematic review and meta-analysis across the addictions. Clinical Psychology Review 2023;100:102251 View
  311. McCormack G, Petersen J, Ghoneim D, Blackstaffe A, Naish C, Doyle-Baker P. Effectiveness of an 8-Week Physical Activity Intervention Involving Wearable Activity Trackers and an eHealth App: Mixed Methods Study. JMIR Formative Research 2022;6(5):e37348 View
  312. Chrismas B, Majed L, Al-Mohannadi A, Sayegh S. Adherence and retention to the self-managed community-based Step Into Health program in Qatar (2012–2019). Frontiers in Public Health 2022;10 View
  313. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
  314. Grimshaw S, Taylor N, Conyers R, Shields N. Promoting positive physical activity behaviors for children and adolescents undergoing acute cancer treatment: Development of the CanMOVE intervention using the Behavior Change Wheel. Frontiers in Pediatrics 2022;10 View
  315. Hardcastle S, Maxwell-Smith C, Cavalheri V, Boyle T, Román M, Platell C, Levitt M, Saunders C, Sardelic F, Nightingale S, McCormick J, Lynch C, Cohen P, Bulsara M, Hince D. A randomized controlled trial of Promoting Physical Activity in Regional and Remote Cancer Survivors (PPARCS). Journal of Sport and Health Science 2024;13(1):81 View
  316. França C, Santos F, Martins F, Lopes H, Gouveia B, Gonçalves F, Campos P, Marques A, Ihle A, Gonçalves T, Gouveia É. Digital Health in Schools: A Systematic Review. Sustainability 2022;14(21):13848 View
  317. Burford K, Golaszewski N, Bartholomew J. “I shy away from them because they are very identifiable”: A qualitative study exploring user and non-user's perceptions of wearable activity trackers. DIGITAL HEALTH 2021;7 View
  318. Yu H, He J, Li K, Qi W, Lin J, Szumilewicz A. Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China. Frontiers in Nutrition 2023;9 View
  319. Keats M, Yu X, Sweeney Magee M, Forbes C, Grandy S, Sweeney E, Dummer T. Use of Wearable Activity-Monitoring Technologies to Promote Physical Activity in Cancer Survivors: Challenges and Opportunities for Improved Cancer Care. International Journal of Environmental Research and Public Health 2023;20(6):4784 View
  320. Hayotte M, d’Arripe-Longueville F. Le recours aux technologies pour promouvoir l’activité physique dans la chirurgie bariatrique : analyse du contenu de deux technologies. Cahiers de Nutrition et de Diététique 2023;58(3):202 View
  321. De Groef A, Asnong A, Blondeel A, Ginis P, Nieuwboer A, De Vrieze T, Devoogdt N, Troosters T, Demeyer H, Geraerts I. Accuracy of consumer-based activity trackers as measuring tool and coaching device in breast and colorectal cancer survivors. Supportive Care in Cancer 2023;31(10) View
  322. Cash P, Wrobel A, Maier A, Hansen J. Understanding long-term behaviour change techniques: a mixed methods study. Journal of Engineering Design 2023;34(5-6):383 View
  323. Trumpf R, Schulte L, Schroeder H, Larsen R, Haussermann P, Zijlstra W, Fleiner T. Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability. European Review of Aging and Physical Activity 2023;20(1) View
  324. Heizmann A, Chapelle C, Laporte S, Roche F, Hupin D, Le Hello C. Impact of wearable device-based interventions with feedback for increasing daily walking activity and physical capacities in cardiovascular patients: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 2023;13(7):e069966 View
  325. Jayasinghe S, Hills A. Strategies to Improve Physical Activity and Nutrition Behaviours in Children and Adolescents: A Review. Nutrients 2023;15(15):3370 View
  326. Sharif R, Zafar H, Vellinga A, Flaherty G, Sharif F. Analysis of Web and Mobile Apps for Monitoring of Childhood Physical Activity. International Journal of Digital Health 2022;2(1):1 View
  327. Wuttke A, Steinmetz A, Endres K, Simon P, Fellgiebel A, Haller N. Behavioral Activation by Wearable Devices in Patients with Late-Life Depression. GeroPsych 2024;37(2):109 View
  328. Soltero E, Lopez C, Mihail S, Hernandez A, Musaad S, O'Connor T, Thompson D. An SMS Text Message–Based Type 2 Diabetes Prevention Program for Hispanic Adolescents With Obesity: Qualitative Co-Design Process. JMIR Formative Research 2023;7:e46606 View
  329. Sanabria G, Bushover B, Ashrafnia S, Cordoba E, Schnall R. Understanding Physical Activity Determinants in an HIV Self-Management Intervention: Qualitative Analysis Guided by the Theory of Planned Behavior. JMIR Formative Research 2023;7:e47666 View
  330. Xiong T, Krusche M. Wearables in der Rheumatologie. Zeitschrift für Rheumatologie 2024;83(3):234 View
  331. Bentlage E, Nyamadi J, Dubbeldam R. The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic Review. JMIR mHealth and uHealth 2023;11:e42968 View
  332. Alsaleh E. Is a combination of individual consultations, text message reminders and interaction with a Facebook page more effective than educational sessions for encouraging university students to increase their physical activity levels?. Frontiers in Public Health 2023;11 View
  333. Booth M, Riegler V, King J, Barrack R, Hannon C. Patients’ Perceptions of Remote Monitoring and App-Based Rehabilitation Programs: A Comparison of Total Hip and Knee Arthroplasty. The Journal of Arthroplasty 2023;38(7):S39 View
  334. Petrov M, Epstein D, Krahn L, Todd M, Park J, St. Louis E, Morgenthaler T, Hoffmann C, Hasanaj K, Hollingshead K, Yu T, Buman M. SleepWell24, a Smartphone Application to Promote Adherence to Positive Airway Pressure Therapy: Feasibility and Acceptability in a Randomized Controlled Trial. Behavioral Sleep Medicine 2024;22(4):420 View
  335. Bastien Tardif C, Mathieu M, Caru M, Al-Simaani A, Girard-Bock C, Cloutier A, Stickland M, Nuyt A, Luu T. HAPI Fit: An Exercise Intervention to Improve Peak Aerobic Capacity in Young Adults Born Very Preterm. Medicine & Science in Sports & Exercise 2023 View
  336. Becker M, Hurkmans H, Verhaar J, Bussmann J. Validation of the Activ8 Activity Monitor for Monitoring Postures, Motions, Transfers, and Steps of Hospitalized Patients. Sensors 2023;24(1):180 View
  337. Master H, Coronado R, Whitaker S, Block S, Vanston S, Pennings J, Gupta R, Robinette P, Stephens B, Abtahi A, Schwarz J, Archer K. Combining Wearable Technology and Telehealth Counseling for Rehabilitation After Lumbar Spine Surgery: Feasibility and Acceptability of a Physical Activity Intervention. Physical Therapy 2024;104(2) View
  338. Benthem de Grave R, Bull C, Monjardino de Souza Monteiro D, Margariti E, McMurchy G, Hutchinson J, Smeddinck J. Smartphone Apps for Food Purchase Choices: Scoping Review of Designs, Opportunities, and Challenges. Journal of Medical Internet Research 2024;26:e45904 View
  339. Szeto K, Arnold J, Maher C. The Wearable Activity Tracker Checklist for Healthcare (WATCH): a 12-point guide for the implementation of wearable activity trackers in healthcare. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  340. Protano C, De Giorgi A, Valeriani F, Mazzeo E, Zanni S, Cofone L, D’Ancona G, Hasnaoui A, Pindinello I, Sabato M, Ubaldi F, Volpini V, Romano Spica V, Vitali M, Gallè F. Can Digital Technologies Be Useful for Weight Loss in Individuals with Overweight or Obesity? A Systematic Review. Healthcare 2024;12(6):670 View
  341. Takano K, Oba T, Katahira K, Kimura K. Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e51216 View
  342. Kinoshita S, Hanashiro S, Tsutsumi S, Shiga K, Kitazawa M, Wada Y, Inaishi J, Kashiwagi K, Fukami T, Mashimo Y, Minato K, Kishimoto T. Assessment of stress and well-being of Japanese employees using wearable devices for sleep monitoring combined with ecological momentary assessment: A pilot observational study (Preprint). JMIR Formative Research 2023 View
  343. Wortley D, An J, Nigg C. Wearable technologies, health and well-being: A case review. Digital Medicine 2017;3(1):11 View
  344. Howard-Wilson S, Ching J, Gentile S, Ho M, Garcia A, Ayturk D, Lazar P, Hammerquist N, McManus D, Barton B, Bird S, Moore J, Soni A. Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e50378 View
  345. Paul S, Tiedemann A, Hassett L, Ramsay E, Kirkham C, Chagpar S, Sherrington C. Validity of theFitbitactivity tracker for measuring steps in community-dwelling older adults. BMJ Open Sport & Exercise Medicine 2015;1(1):e000013 View
  346. Capan M, Bigelow L, Kathuria Y, Paluch A, Chung J, Wang H. Analysis of multi-level barriers to physical activity among nursing students using regularized regression. PLOS ONE 2024;19(5):e0304214 View
  347. Liaqat M, Mushtaq M, Jamil A, Mushtaq M, Ali H, Anwar R, Raza A, Aslam A, Tariq T, Hussain M, Bakht D, Bokhari S. Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease. Cureus 2024 View
  348. Mudge S, Smith G, Parry G. A personalised activity programme helps reduce fatigue in people after Guillain-Barré Syndrome in a replicated single system design. Disability and Rehabilitation 2024:1 View
  349. Almarcha M, Sturmberg J, Balagué N. Personalizing the guidelines of exercise prescription for health: Guiding users from dependency to self-efficacy. Apunts Sports Medicine 2024;59(223):100449 View
  350. Au W, Recchia F, Fong D, Wong S, Chan D, Capio C, Yu C, Wong S, Sit C, Ip P, Chen Y, Thompson W, Siu P. Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis. The Lancet Digital Health 2024;6(9):e625 View
  351. Ranjan P, Vikram N, Kumari A, Chopra S, Choranur A, Pradeep Y, Puri M, Malhotra A, Ahuja M, Meeta , Batra A, Balsarkar G, Goswami D, Guleria K, Sarkar S, Kachhawa G, Verma A, Kumari M, Madan J, Dabral A, Kamath S, Rathore A, Kumar R, Venkataraman S, Kaloiya G, Bhatla N, Kumari S, Baitha U, Prakash A, Tiwaskar M, Tewary K, Misra A, Guleria R. Evidence and consensus-based clinical practice guidelines for management of overweight and obesity in midlife women: An AIIMS-DST initiative. Journal of Family Medicine and Primary Care 2022;11(12):7549 View
  352. Vos A, de Bruijn G, Klein M, Boerman S, Stuber J, Smit E. Effectiveness of a Just-In-Time Adaptive App to Increase Daily Steps: An RCT. American Journal of Preventive Medicine 2024 View
  353. Aguiñaga S, Marques I, Kitsiou S, Balbim G, Gerber B, Buchholz S, Bustamante E, Marquez D. BAILAMOS With mHealth Technology! Improving Physical Activity and Well-Being in Middle-Aged and Older Latinxs: A Pre–Post Feasibility Study. Health Education & Behavior 2021;48(5):575 View
  354. Lampsas S, Marinos G, Lamprinos D, Theofilis P, Zakynthinos G, Gialamas I, Lysandrou A, Pililis S, Pliouta L, Tzioumi G, Anastasopoulou E, Lambadiari V, Oikonomou E, Siasos G. Wearable Activity Trackers and Physical Activity Levels Among Members of the Athens Medical Association in Greece. Journal of Cardiovascular Development and Disease 2024;11(10):336 View
  355. Kwon S, Bai Y, Kim Y, Burns R, Brusseau T, Byun W. Convergent Validity of Garmin Vivofit Jr. 3 and Fitbit Ace 3 for Monitoring Daily Physical Activity of Children. Measurement in Physical Education and Exercise Science 2024:1 View
  356. Wafi A, Zaeri M, Khudier A, Abushara A, Adawi M, Zakri L, Madkhali M, Al Othaymeen A, Qawfashi W, Alnami R, Ahmed A. Real-Time Vibration Feedback from a Smartphone Application Reduces Sedentary Time but Does Not Increase Physical Activity Among Medical Students. Healthcare 2024;12(21):2133 View
  357. Wang W, Raji R, Han J, Chen Y. Review of development trends in smart bags’ research and applications. Sensor Review 2024 View
  358. Mo P, Xie L, Lee T, Li A. Use of Behavior Change Techniques in Online HIV Prevention Programmes for Adolescents and Young People: A Systematic Review (Preprint). JMIR Public Health and Surveillance 2024 View
  359. den Braber N, Vollenbroek-Hutten M, Kappert K, Laverman G. Analysing physical activity measures and clustering in patients with type 2 diabetes in secondary care: insights from the DIAbetes and LifEstyle Cohort Twente (DIALECT)—an observational cohort study. BMJ Open 2024;14(12):e082059 View

Books/Policy Documents

  1. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero J, Molina-Luque R, Sánchez-Muñoz A, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. View
  2. Prince S. Sedentary Behaviour Epidemiology. View
  3. Ferng A, Punwani V, Gaglani S. Anticipation and Medicine. View
  4. Messer D, Shanholtz C, Chowdhury A. Analyzing Human Behavior in Cyberspace. View
  5. . Information and Communications for Development 2018: Data-Driven Development. View
  6. Deepa M, Shruti M, Mohan V. Diabetes Digital Health. View
  7. . Information and Communications for Development 2018: Data-Driven Development. View
  8. Koskivaara E. Digital Services and Information Intelligence. View
  9. Kuru H. Current and Emerging mHealth Technologies. View
  10. Shaygan A. Infrastructure and Technology Management. View
  11. Tudor-Locke C. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. View
  12. Yao C, Ho K. Handbook Integrated Care. View
  13. Hufstedler A, Varghese F. The Wiley Encyclopedia of Personality and Individual Differences. View
  14. Hufstedler A, Varghese F. The Wiley Encyclopedia of Personality and Individual Differences. View
  15. Ensari I, Elhadad N. Digital Health. View
  16. Alizadeh Elizei Z. HCI International 2021 - Posters. View
  17. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View
  18. Ridgers N, Drehlich M. Digital Health. View
  19. Branin J. Quantifying Quality of Life. View
  20. Schwarzer R. Justice over the Course of Life. View
  21. Farhat-ul-Ain , Popovitš O, Tomberg V. Human-Computer Interaction. User Experience and Behavior. View
  22. Zinzuwadia A, Goldberg J, Hanson M, Wessler J. Emerging Practices in Telehealth. View
  23. Prince S. Sedentary Behaviour Epidemiology. View
  24. Yukang X, Lin Z. The Cambridge Handbook of Cyber Behavior. View
  25. Lewis Z, Christopherson U. The Cambridge Handbook of Cyber Behavior. View