Published on in Vol 17, No 2 (2015): February

Effectiveness of a Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Intervention for Adults: A Cluster Randomized Controlled Trial

Effectiveness of a Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Intervention for Adults: A Cluster Randomized Controlled Trial

Effectiveness of a Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Intervention for Adults: A Cluster Randomized Controlled Trial

Journals

  1. Lee H, Cho S, Wilbur J, Kim J, Park C, Lee Y, Lee H. Effects of culturally adaptive walking intervention on cardiovascular disease risks for middle-aged Korean-Chinese female migrant workers. Archives of Environmental & Occupational Health 2017;72(6):317 View
  2. Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. Journal of Medical Internet Research 2019;21(2):e11079 View
  3. 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
  4. Almeida F, Smith-Ray R, Dzewaltowski D, Glasgow R, Lee R, Thomas D, Xu S, Estabrooks P. An Interactive Computer Session to Initiate Physical Activity in Sedentary Cardiac Patients: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e206 View
  5. 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
  6. Wally C, Cameron L. A Randomized-Controlled Trial of Social Norm Interventions to Increase Physical Activity. Annals of Behavioral Medicine 2017;51(5):642 View
  7. Maher C, Davis C, Curtis R, Short C, Murphy K. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR mHealth and uHealth 2020;8(7):e17558 View
  8. 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
  9. Boudreau F, Walthouwer M, de Vries H, Dagenais G, Turbide G, Bourlaud A, Moreau M, Côté J, Poirier P. Rationale, design and baseline characteristics of a randomized controlled trial of a web-based computer-tailored physical activity intervention for adults from Quebec City. BMC Public Health 2015;15(1) View
  10. Kowatsch T, Kramer J, Kehr F, Wahle F, Elser N, Fleisch E. Effects of Charitable Versus Monetary Incentives on the Acceptance of and Adherence to a Pedometer-Based Health Intervention: Study Protocol and Baseline Characteristics of a Cluster-Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e181 View
  11. Stellefson M, Alber J, Wang M, Eddy J, Chaney B, Chaney J. Use of Health Information and Communication Technologies to Promote Health and Manage Behavioral Risk Factors Associated With Chronic Disease: Applications in the Field of Health Education. American Journal of Health Education 2015;46(4):185 View
  12. Storm V, Dörenkämper J, Reinwand D, Wienert J, De Vries H, Lippke S. Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(4):e78 View
  13. Freak-Poli R, Cumpston M, Albarqouni L, Clemes S, Peeters A. Workplace pedometer interventions for increasing physical activity. Cochrane Database of Systematic Reviews 2020 View
  14. Chu A, Ng S, Tan C, Win A, Koh D, Müller‐Riemenschneider F. A systematic review and meta‐analysis of workplace intervention strategies to reduce sedentary time in white‐collar workers. Obesity Reviews 2016;17(5):467 View
  15. Poirier J, Bennett W, Jerome G, Shah N, Lazo M, Yeh H, Clark J, Cobb N. Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(2):e34 View
  16. Wongvibulsin S, Martin S, Steinhubl S, Muse E. Connected Health Technology for Cardiovascular Disease Prevention and Management. Current Treatment Options in Cardiovascular Medicine 2019;21(6) View
  17. 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
  18. 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
  19. Maylor B, Edwardson C, Zakrzewski-Fruer J, Champion R, Bailey D. Efficacy of a Multicomponent Intervention to Reduce Workplace Sitting Time in Office Workers. Journal of Occupational & Environmental Medicine 2018;60(9):787 View
  20. Houle J, Gallani M, Pettigrew M, Laflamme G, Mathieu L, Boudreau F, Poirier P, Cossette S. Acceptability of a computer-tailored and pedometer-based socio-cognitive intervention in a secondary coronary heart disease prevention program: A qualitative study. DIGITAL HEALTH 2020;6:205520761989984 View
  21. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277 View
  22. Vandoni M, Correale L, Del Bianco M, Marin L, Codrons E. Does reactivity to accelerometers occur in a single trial? Brief report in a sample of young adults. Journal of Health Psychology 2017;22(11):1458 View
  23. Reinwand D, Crutzen R, Elfeddali I, Schneider F, Schulz D, Stanczyk N, Tange H, Voncken-Brewster V, Walthouwer M, Hoving C, de Vries H. Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials. Journal of Medical Internet Research 2015;17(10):e228 View
  24. Duncan M, Vandelanotte C, Trost S, Rebar A, Rogers N, Burton N, Murawski B, Rayward A, Fenton S, Brown W. Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults. BMC Public Health 2016;16(1) View
  25. Yoon S, Schwartz J, Burg M, Kronish I, Alcantara C, Julian J, Parsons F, Davidson K, Diaz K. Using Behavioral Analytics to Increase Exercise: A Randomized N-of-1 Study. American Journal of Preventive Medicine 2018;54(4):559 View
  26. VanRavenstein K, Davis B. When More Than Exercise Is Needed to Increase Chances of Aging in Place: Qualitative Analysis of a Telehealth Physical Activity Program to Improve Mobility in Low-Income Older Adults. JMIR Aging 2018;1(2):e11955 View
  27. Muellmann S, Buck C, Voelcker-Rehage C, Bragina I, Lippke S, Meyer J, Peters M, Pischke C. Effects of two web-based interventions promoting physical activity among older adults compared to a delayed intervention control group in Northwestern Germany: Results of the PROMOTE community-based intervention trial. Preventive Medicine Reports 2019;15:100958 View
  28. Jahangiry L, Farhangi M, Shab-Bidar S, Rezaei F, Pashaei T. Web-based physical activity interventions: a systematic review and meta-analysis of randomized controlled trials. Public Health 2017;152:36 View
  29. Miragall M, Domínguez-Rodríguez A, Navarro J, Cebolla A, Baños R. Increasing physical activity through an Internet-based motivational intervention supported by pedometers in a sample of sedentary students: A randomised controlled trial. Psychology & Health 2018;33(4):465 View
  30. Blake H, Somerset S, Evans C. Development and Fidelity Testing of the Test@Work Digital Toolkit for Employers on Workplace Health Checks and Opt-In HIV Testing. International Journal of Environmental Research and Public Health 2020;17(1):379 View
  31. Lentferink A, Polstra L, D’Souza A, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. Creating value with eHealth: identification of the value proposition with key stakeholders for the resilience navigator app. BMC Medical Informatics and Decision Making 2020;20(1) View
  32. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  33. Walsh J, Groarke J. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38 View
  34. Urrea B, Misra S, Plante T, Kelli H, Misra S, Blaha M, Martin S. Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease. Current Treatment Options in Cardiovascular Medicine 2015;17(12) View
  35. Degroote L, Plaete J, De Bourdeaudhuij I, Verloigne M, Van Stappen V, De Meester A, Poppe L, Van der Mispel C, Crombez G. The Effect of the eHealth Intervention ‘MyPlan 1.0’ on Physical Activity in Adults Who Visit General Practice: A Quasi-Experimental Trial. International Journal of Environmental Research and Public Health 2018;15(2):228 View
  36. Vandelanotte C, Duncan M, Maher C, Schoeppe S, Rebar A, Power D, Short C, Doran C, Hayman M, Alley S. The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial. Journal of Medical Internet Research 2018;20(12):e11321 View
  37. Xu X, Tupy S, Robertson S, Miller A, Correll D, Tivis R, Nigg C, Bowen M. Successful adherence and retention to daily monitoring of physical activity: Lessons learned. PLOS ONE 2018;13(9):e0199838 View
  38. Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425 View
  39. Enciso J, Variya D, Sunthonlap J, Sarmiento T, Lee K, Velasco J, Pebdani R, de Leon R, Dy C, Keslacy S, Won D. Electromyography-Driven Exergaming in Wheelchairs on a Mobile Platform: Bench and Pilot Testing of the WOW-Mobile Fitness System. JMIR Rehabilitation and Assistive Technologies 2021;8(1):e16054 View
  40. Rowley T, Lenz E, Swartz A, Miller N, Maeda H, Strath S. Efficacy of an Individually Tailored, Internet-Mediated Physical Activity Intervention in Older Adults: A Randomized Controlled Trial. Journal of Applied Gerontology 2019;38(7):1011 View
  41. 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
  42. Boudreau F, Dagenais G, de Vries H, Walthouwer M, Côté J, Turbide G, Bourlaud A, Poirier P. Effectiveness of a web-based computer-tailored intervention promoting physical activity for adults from Quebec City: a randomized controlled trial. Health Psychology and Behavioral Medicine 2020;8(1):601 View
  43. 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
  44. 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
  45. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  46. 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
  47. Auerswald T, Hendker A, Ratz T, Lippke S, Pischke C, Peters M, Meyer J, Holdt K, Voelcker-Rehage C. Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2022;19(7):3785 View
  48. Tsang K, Pinnock H, Wilson A, Salvi D, Shah S. Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol. BMJ Open 2022;12(10):e064166 View
  49. Al-Hazzaa H. Physical activity and sedentary behaviors in bariatric surgery patients: A scoping review. Saudi Journal of Obesity 2019;7(2):39 View
  50. Mönninghoff A, Fuchs K, Wu J, Albert J, Mayer S. The Effect of a Future-Self Avatar Mobile Health Intervention (FutureMe) on Physical Activity and Food Purchases: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(7):e32487 View
  51. Chaudhari S, Ghanvatkar S, Kankanhalli A. Personalization of Intervention Timing for Physical Activity: Scoping Review. JMIR mHealth and uHealth 2022;10(2):e31327 View
  52. Barde K, Tsouri G, Page A, Pham T, Lutz M, Hall B, Couderc J. Measurements of pulse rate using facial video cameras from smart devices in patients diagnosed with atrial fibrillation. Journal of Electrocardiology 2023;78:58 View
  53. Brame J, Kohl J, Centner C, Wurst R, Fuchs R, Tinsel I, Maiwald P, Fichtner U, Sehlbrede M, Farin-Glattacker E, Gollhofer A, König D. Effects of a Web-Based Lifestyle Intervention on Physical Fitness and Health in Physically Inactive Adults: A Randomized Controlled Trial. Healthcare 2023;11(21):2847 View
  54. Vandelanotte C, Trost S, Hodgetts D, Imam T, Rashid M, To Q, Maher C. Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. Journal of Biomedical Informatics 2023;144:104435 View

Books/Policy Documents

  1. Triantafyllidis A, Filos D, Buys R, Claes J, Cornelissen V, Kouidi E, Chatzitofis A, Zarpalas D, Daras P, Chouvarda I, Maglaveras N. Precision Medicine Powered by pHealth and Connected Health. View
  2. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View
  3. Tsang K, Pinnock H, Wilson A, Salvi D, Olsson C, Shah S. Pervasive Computing Technologies for Healthcare. View