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;6:205520761990005 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
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  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
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  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 withMyFitnessPalin 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
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  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
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  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
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  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
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  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
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  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 2020 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 2020:1 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 2021 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 2021 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 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 2021:1 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 2021 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 View
  259. Rheu M, Peng W, Haung K. Leveraging Upward Social Comparison in Social Media to Promote Healthy Parenting. Health Communication 2021:1 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 2021 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 2021 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

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