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

Web-based and Mobile Health Interventions (3297) Mobile Health (mhealth) (2939) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 18, No 2 (2016): February

Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial

Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial

Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial

Authors of this article:

Josée Poirier1 Author Orcid Image ;   Wendy L Bennett2, 3 Author Orcid Image ;   Gerald J Jerome2, 4 Author Orcid Image ;   Nina G Shah2 Author Orcid Image ;   Mariana Lazo2, 3 Author Orcid Image ;   Hsin-Chieh Yeh2, 3 Author Orcid Image ;   Jeanne M Clark2, 3 Author Orcid Image ;   Nathan K Cobb1, 5 Author Orcid Image
Article Authors Cited by (77) Tweetations (37) Metrics

Journals

  1. Rasche P, Schlomann A, Mertens A. Who Is Still Playing Pokémon Go? A Web-Based Survey. JMIR Serious Games 2017;5(2):e7 View
  2. Schubert C, Archer G, Zelis J, Nordmeyer S, Runte K, Hennemuth A, Berger F, Falk V, Tonino P, Hose R, ter Horst H, Kuehne T, Kelm M. Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. npj Digital Medicine 2020;3(1) View
  3. Forman E, Kerrigan S, Butryn M, Juarascio A, Manasse S, Ontañón S, Dallal D, Crochiere R, Moskow D. Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?. Journal of Behavioral Medicine 2019;42(2):276 View
  4. Van Dijk M, Koster M, Rosman A, Steegers-Theunissen R. Opportunities of mHealth in Preconception Care: Preferences and Experiences of Patients and Health Care Providers and Other Involved Professionals. JMIR mHealth and uHealth 2017;5(8):e123 View
  5. Eckerstorfer L, Tanzer N, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076 View
  6. Brakenridge C, Healy G, Winkler E, Fjeldsoe B. What Do Workers Do to Reduce Their Sitting Time? The Relationships of Strategy Use and Workplace Support With Desk-Based Workers’ Behavior Changes in a Workplace-Delivered Sitting-Reduction and Activity-Promoting Intervention. Journal of Occupational & Environmental Medicine 2018;60(11):1026 View
  7. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303 View
  8. Strutz E, Browning R, Smith S, Lohse B, Cunningham-Sabo L. Accelerometry-Derived Physical Activity Correlations Between Parents and Their Fourth-Grade Child Are Specific to Time of Day and Activity Level. Journal of Physical Activity and Health 2018;15(6):440 View
  9. McDonald J, Ganulin M, LoPresti M, Adler A. Sleep knowledge, goals, and habits in soldiers. Sleep Health 2019;5(4):426 View
  10. 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
  11. Shin G, Feng Y, Jarrahi M, Gafinowitz N. Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use. JAMIA Open 2019;2(1):62 View
  12. Arora A, Chakraborty P, Bhatia M. Analysis of Data from Wearable Sensors for Sleep Quality Estimation and Prediction Using Deep Learning. Arabian Journal for Science and Engineering 2020;45(12):10793 View
  13. Agboola S, Jethwani K, Lopez L, Searl M, O’Keefe S, Kvedar J. Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2016;18(11):e307 View
  14. Cajita M, Kline C, Burke L, Bigini E, Imes C. Feasible but Not Yet Efficacious: a Scoping Review of Wearable Activity Monitors in Interventions Targeting Physical Activity, Sedentary Behavior, and Sleep. Current Epidemiology Reports 2020;7(1):25 View
  15. Witteman H, Presseau J, Nicholas Angl E, Jokhio I, Schwalm J, Grimshaw J, Bosiak B, Natarajan M, Ivers N. Negotiating Tensions Between Theory and Design in the Development of Mailings for People Recovering From Acute Coronary Syndrome. JMIR Human Factors 2017;4(1):e6 View
  16. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64 View
  17. Pereira C, Padoan C, Garcia L, Patusco L, Magalhães P. Barriers and facilitators perceived by people with bipolar disorder for the practice of exercise: a qualitative study. Trends in Psychiatry and Psychotherapy 2019;41(1):1 View
  18. Xie J, Wen D, Liang L, Jia Y, Gao L, Lei J. Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study. JMIR mHealth and uHealth 2018;6(4):e94 View
  19. Seifert A, Schlomann A, Rietz C, Schelling H. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3 View
  20. 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
  21. Richardson A, Chen C, Sturm R, Azhar G, Miles J, Larkin J, Motala A, Hempel S. Obesity Prevention Interventions and Implications for Energy Balance in the United States and Mexico: A Systematic Review of the Evidence and Meta‐Analysis. Obesity 2019;27(9):1390 View
  22. 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
  23. Adams M, Hurley J, Todd M, Bhuiyan N, Jarrett C, Tucker W, Hollingshead K, Angadi S. Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults’ physical activity. BMC Public Health 2017;17(1) View
  24. Lim B, Kay J, Liu W. How Does a Nation Walk?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1 View
  25. Jones D, Skrepnik N, Toselli R, Leroy B. Incorporating Novel Mobile Health Technologies Into Management of Knee Osteoarthritis in Patients Treated With Intra-Articular Hyaluronic Acid: Rationale and Protocol of a Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e164 View
  26. Brakenridge C, Fjeldsoe B, Young D, Winkler E, Dunstan D, Straker L, Healy G. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  27. 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
  28. Middelweerd A, te Velde S, Mollee J, Klein M, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185 View
  29. Shrestha N, Kukkonen-Harjula K, Verbeek J, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews 2018;2018(12) View
  30. Rice L, Sara R. Updating the determinants of health model in the Information Age. Health Promotion International 2019;34(6):1241 View
  31. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28 View
  32. Wu H, Gal R, van Sleeuwen N, Brombacher A, IJsselsteijn W, May A, Monninkhof E. Breast Cancer Survivors’ Experiences With an Activity Tracker Integrated Into a Supervised Exercise Program: Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e10820 View
  33. Buckingham S, Williams A, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5 View
  34. Korinek E, Phatak S, Martin C, Freigoun M, Rivera D, Adams M, Klasnja P, Buman M, Hekler E. Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. Journal of Behavioral Medicine 2018;41(1):74 View
  35. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125 View
  36. Dijkhuis T, Blaauw F, Van Ittersum M, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623 View
  37. 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
  38. Kunkle S, Christie G, Hajat C, Yach D. The Role of the Private Sector in Tilting Health Systems Toward Chronic Disease Prevention. Global Heart 2016;11(4):451 View
  39. Bender M, Cooper B, Park L, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30 View
  40. Shrestha N, Kukkonen-Harjula K, Verbeek J, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews 2018 View
  41. Ceasar J, Claudel S, Andrews M, Tamura K, Mitchell V, Brooks A, Dodge T, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Troncoso M, Wallen G, Powell-Wiley T. Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study. JMIR Formative Research 2019;3(1):e10944 View
  42. Adams M, Hurley J, Phillips C, Todd M, Angadi S, Berardi V, Hovell M, Hooker S. Rationale, design, and baseline characteristics of WalkIT Arizona: A factorial randomized trial testing adaptive goals and financial reinforcement to increase walking across higher and lower walkable neighborhoods. Contemporary Clinical Trials 2019;81:87 View
  43. Eijsvogels T, George K, Thompson P. Cardiovascular benefits and risks across the physical activity continuum. Current Opinion in Cardiology 2016;31(5):566 View
  44. Kouwenhoven-Pasmooij T, Robroek S, Ling S, van Rosmalen J, van Rossum E, Burdorf A, Hunink M. A Blended Web-Based Gaming Intervention on Changes in Physical Activity for Overweight and Obese Employees: Influence and Usage in an Experimental Pilot Study. JMIR Serious Games 2017;5(2):e6 View
  45. Buckingham S, Morrissey K, Williams A, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020;20(1) View
  46. Liew S, Gorny A, Tan C, Müller-Riemenschneider F. A Mobile Health Team Challenge to Promote Stepping and Stair Climbing Activities: Exploratory Feasibility Study. JMIR mHealth and uHealth 2020;8(2):e12665 View
  47. Laranjo L, Quiroz J, Tong H, Arevalo Bazalar M, Coiera E. A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. Journal of Medical Internet Research 2020;22(12):e19991 View
  48. Chaudhry U, Wahlich C, Fortescue R, Cook D, Knightly R, Harris T. The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  49. Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz J, Tong H, Chahwan B, Neves A, Gabarron E, Dao K, Rodrigues D, Neves G, Antunes M, Coiera E, Bates D. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine 2021;55(8):422 View
  50. Mönninghoff A, Kramer J, Hess A, Ismailova K, Teepe G, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Long-term Effectiveness of mHealth Physical Activity Interventions: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2021;23(4):e26699 View
  51. 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
  52. Kerrigan S, Forman E, Williams D, Patel M, Loyka C, Zhang F, Crosby R, Butryn M. Project Step: A Randomized Controlled Trial Investigating the Effects of Frequent Feedback and Contingent Incentives on Physical Activity. Journal of Physical Activity and Health 2021;18(3):247 View
  53. Gooch D, Price B, Klis-Davies A, Webb J. A Design Exploration of Health-Related Community Displays. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  54. Li C, Chen X, Bi X. Wearable activity trackers for promoting physical activity: A systematic meta-analytic review. International Journal of Medical Informatics 2021;152:104487 View
  55. Mooses K, Taveter K. Agent-Oriented Goal Models in Developing Information Systems Supporting Physical Activity Among Adolescents: Literature Review and Expert Interviews. Journal of Medical Internet Research 2021;23(5):e24810 View
  56. Thomas Craig K, Morgan L, Chen C, Michie S, Fusco N, Snowdon J, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behavioral Medicine 2021;11(5):1037 View
  57. Kuenze C, Pfeiffer K, Pfeiffer M, Driban J, Pietrosimone B. Feasibility of a Wearable-Based Physical Activity Goal-Setting Intervention Among Individuals With Anterior Cruciate Ligament Reconstruction. Journal of Athletic Training 2021;56(6):555 View
  58. Larsen R, Wagner V, Korfitsen C, Keller C, Juhl C, Langberg H, Christensen J. Effectiveness of physical activity monitors in adults: systematic review and meta-analysis. BMJ 2022:e068047 View
  59. Gawlik A, Lüdemann J, Neuhausen A, Zepp C, Vitinius F, Kleinert J. A Systematic Review of Workplace Physical Activity Coaching. Journal of Occupational Rehabilitation 2023;33(3):550 View
  60. Kugathasan T, Gilbert J, Laberge S, Tremblay J, Mathieu M. Activate Your Health: impact of a real-life programme promoting healthy lifestyle habits in Canadian workers. Health Promotion International 2023;38(3) View
  61. Hughes A, Shandhi M, Master H, Dunn J, Brittain E. Wearable Devices in Cardiovascular Medicine. Circulation Research 2023;132(5):652 View
  62. Arora A, Chakraborty P, Bhatia M. Intervention of Wearables and Smartphones in Real Time Monitoring of Sleep and Behavioral Health: An Assessment Using Adaptive Neuro-Fuzzy Technique. Arabian Journal for Science and Engineering 2022;47(2):1999 View
  63. Berry M, Adams M, Butryn M, Kerrigan S, Forman E. Efficacy and mechanisms of a brief adaptive goal-setting intervention for physical activity: A randomised pilot trial. International Journal of Sport and Exercise Psychology 2023;21(5):894 View
  64. Chatterjee A, Pahari N, Prinz A, Riegler M. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports 2022;12(1) View
  65. Adams M, Todd M, Angadi S, Hurley J, Stecher C, Berardi V, Phillips C, McEntee M, Hovell M, Hooker S. Adaptive Goals and Reinforcement Timing to Increase Physical Activity in Adults: A Factorial Randomized Trial. American Journal of Preventive Medicine 2022;62(2):e57 View
  66. Stansbury M, Harvey J, Krukowski R, Pellegrini C, Wang X, West D. Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(1):e30673 View
  67. de Boer P, Deursen A, van Rompay T. Health on the move—can we keep up? Activity tracker performance test to measure data and strategic skills. International Journal of Human–Computer Interaction 2023;39(17):3377 View
  68. Li Z, Das S, Codella J, Hao T, Lin K, Maduri C, Chen C. An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE Journal of Biomedical and Health Informatics 2019;23(3):999 View
  69. 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
  70. Radhakrishnan K, Julien C, O'Hair M, Tunis R, Lee G, Rangel A, Custer J, Baranowski T, Rathouz P, Kim M. Sensor-Controlled Digital Game for Heart Failure Self-management: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e45801 View
  71. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1 View
  72. Daryabeygi-Khotbehsara R, Rawstorn J, Dunstan D, Shariful Islam S, Abdelrazek M, Kouzani A, Thummala P, McVicar J, Maddison R. A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study. JMIR Formative Research 2024;8:e47157 View

Books/Policy Documents

  1. Arora A, Chakraborty P, Bhatia M. Proceedings of International Conference on Communication and Computational Technologies. View