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

Web-based and Mobile Health Interventions (3297) mHealth for Wellness, Behavior Change and Prevention (2871) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 20, No 12 (2018): December

The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial

The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial

The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial

Authors of this article:

Corneel Vandelanotte1 Author Orcid Image ;   Mitch J Duncan2 Author Orcid Image ;   Carol A Maher3 Author Orcid Image ;   Stephanie Schoeppe1 Author Orcid Image ;   Amanda L Rebar1 Author Orcid Image ;   Deborah A Power4 Author Orcid Image ;   Camille E Short5 Author Orcid Image ;   Christopher M Doran4 Author Orcid Image ;   Melanie J Hayman1 Author Orcid Image ;   Stephanie J Alley1 Author Orcid Image
Article Authors Cited by (52) Tweetations (38) Metrics

Journals

  1. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis R, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674 View
  2. Pischke C, Voelcker-Rehage C, Peters M, Ratz T, Pohlabeln H, Meyer J, von Holdt K, Lippke S. Implementation and Effects of Information Technology-Based and Print-Based Interventions to Promote Physical Activity Among Community-Dwelling Older Adults: Protocol for a Randomized Crossover Trial. JMIR Research Protocols 2020;9(4):e15168 View
  3. 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
  4. Edney S, Olds T, Ryan J, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. A Social Networking and Gamified App to Increase Physical Activity: Cluster RCT. American Journal of Preventive Medicine 2020;58(2):e51 View
  5. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  6. 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 View
  7. 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
  8. 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
  9. Pardamean B, Soeparno H, Budiarto A, Mahesworo B, Baurley J. Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health. Healthcare Informatics Research 2020;26(2):83 View
  10. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2022;41(2):242 View
  11. Chia G, Anderson A, McLean L. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768 View
  12. Edney S, Ryan J, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(11):e14645 View
  13. 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
  14. MacDonald A, Chafranskaia A, Lopez C, Maganti M, Bernstein L, Chang E, Langelier D, Obadia M, Edwards B, Oh P, Bender J, Alibhai S, Jones J. CaRE @ Home: Pilot Study of an Online Multidimensional Cancer Rehabilitation and Exercise Program for Cancer Survivors. Journal of Clinical Medicine 2020;9(10):3092 View
  15. Vandelanotte C, Short C, Plotnikoff R, Rebar A, Alley S, Schoeppe S, Canoy D, Hooker C, Power D, Oldmeadow C, Leigh L, To Q, Mummery W, Duncan M. Are web-based personally tailored physical activity videos more effective than personally tailored text-based interventions? Results from the three-arm randomised controlled TaylorActive trial. British Journal of Sports Medicine 2021;55(6):336 View
  16. 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
  17. Wolff W, Bieleke M, Stähler J, Schüler J. Too bored for sports? Adaptive and less-adaptive latent personality profiles for exercise behavior. Psychology of Sport and Exercise 2021;53:101851 View
  18. Finlay A, Evans H, Vincent A, Wittert G, Vandelanotte C, Short C. Optimising Web-Based Computer-Tailored Physical Activity Interventions for Prostate Cancer Survivors: A Randomised Controlled Trial Examining the Impact of Website Architecture on User Engagement. International Journal of Environmental Research and Public Health 2020;17(21):7920 View
  19. 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
  20. Balbim G, Marques I, Marquez D, Patel D, Sharp L, Kitsiou S, Nyenhuis S. Using Fitbits as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions (Preprint). JMIR mHealth and uHealth 2020 View
  21. To Q, Duncan M, Short C, Plotnikoff R, Kerry Mummery W, Alley S, Schoeppe S, Rebar A, Vandelanotte C. Examining moderators of the effectiveness of a web- and video-based computer-tailored physical activity intervention. Preventive Medicine Reports 2021;22:101336 View
  22. 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
  23. Rayward A, Vandelanotte C, Van Itallie A, Duncan M. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151 View
  24. Biddle S. Physical activity research in Australia: A view from exercise psychology and behavioural medicine. Asian Journal of Sport and Exercise Psychology 2021;1(1):12 View
  25. LESKINEN T, SUORSA K, TUOMINEN M, PULAKKA A, PENTTI J, LÖYTTYNIEMI E, HEINONEN I, VAHTERA J, STENHOLM S. The Effect of Consumer-based Activity Tracker Intervention on Physical Activity among Recent Retirees—An RCT Study. Medicine & Science in Sports & Exercise 2021;53(8):1756 View
  26. Trinh L, Sabiston C, Alibhai S, Jones J, Arbour-Nicitopoulos K, Mina D, Campbell K, Faulkner G. A distance-based, randomized controlled trial for reducing sedentary behavior among prostate cancer survivors: a study protocol. BMC Public Health 2022;22(1) View
  27. Western M, Standage M, Peacock O, Nightingale T, Thompson D. Supporting Behavior Change in Sedentary Adults via Real-time Multidimensional Physical Activity Feedback: Mixed Methods Randomized Controlled Trial. JMIR Formative Research 2022;6(3):e26525 View
  28. Aji M, Glozier N, Bartlett D, Grunstein R, Calvo R, Marshall N, White D, Gordon C. The Effectiveness of Digital Insomnia Treatment with Adjunctive Wearable Technology: A Pilot Randomized Controlled Trial. Behavioral Sleep Medicine 2022;20(5):570 View
  29. Niela-Vilen H, Azimi I, Suorsa K, Sarhaddi F, Stenholm S, Liljeberg P, Rahmani A, Axelin A. Comparison of Oura Smart Ring Against ActiGraph Accelerometer for Measurement of Physical Activity and Sedentary Time in a Free-Living Context. CIN: Computers, Informatics, Nursing 2022;40(12):856 View
  30. Schoeppe S, Duncan M, Plotnikoff R, Mummery W, Rebar A, Alley S, To Q, Short C, Vandelanotte C. Acceptability, usefulness, and satisfaction with a web-based video-tailored physical activity intervention: The TaylorActive randomized controlled trial. Journal of Sport and Health Science 2022;11(2):133 View
  31. Hammink J, Moor J, Mohammadi M. Influencing health behaviour using smart building interventions for people with dementia and mild cognitive impairment: expert interviews and a systematic literature review. Disability and Rehabilitation: Assistive Technology 2023;18(7):1175 View
  32. Fukui K, Suzuki Y, Kaneda K, Kuroda S, Komiya M, Maeda N, Urabe Y. Do “Stay-at-Home Exercise” Videos Induce Behavioral Changes in College Students? A Randomized Controlled Trial. Sustainability 2021;13(21):11600 View
  33. Leskinen T, Suorsa K, Heinonen I, Löyttyniemi E, Pentti J, Vahtera J, Stenholm S. The Effect of Commercial Activity Tracker Based Physical Activity Intervention on Body Composition and Cardiometabolic Health Among Recent Retirees. Frontiers in Aging 2021;2 View
  34. Alley S, van Uffelen J, Schoeppe S, Parkinson L, Hunt S, Power D, Waterman N, Waterman C, To Q, Duncan M, Schneiders A, Vandelanotte C. The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(5):e31352 View
  35. 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
  36. To Q, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth 2021;9(11):e28577 View
  37. Alley S, Schoeppe S, To Q, Parkinson L, van Uffelen J, Hunt S, Duncan M, Schneiders A, Vandelanotte C. Engagement, acceptability, usability and satisfaction with Active for Life, a computer-tailored web-based physical activity intervention using Fitbits in older adults. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  38. Wong S, Tan Z, Cheng L, Lau S. Wearable technology-delivered lifestyle intervention amongst adults with overweight and obese: A systematic review and meta-regression. International Journal of Nursing Studies 2022;127:104163 View
  39. Goh Y, Ow Yong J, Chee B, Kuek J, Ho C. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831 View
  40. 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
  41. Li J, Yang H, Song X, Qiao M, Tao H, Niu W, Chen J, Wang L. Effectiveness of social media with or without wearable devices to improve physical activity and reduce sedentary behavior: A randomized controlled trial of Chinese postgraduates. Heliyon 2023;9(10):e20400 View
  42. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  43. Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong S. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47987 View
  44. Dederichs R, Voß J, Falz R. eHealth-Anwendungen zur Förderung körperlicher Aktivität nach viszeralen Operationen. Die Chirurgie 2024;95(6):443 View
  45. Alley S, Schoeppe S, Moore H, To Q, van Uffelen J, Parker F, Duncan M, Schneiders A, Vandelanotte C. The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults. Journal of Health Psychology 2024 View
  46. Dederichs R, Voß J, Falz R. eHealth-Anwendungen zur Förderung körperlicher Aktivität nach viszeralen Operationen. best practice onkologie 2024;19(6):238 View
  47. Vandelanotte C, Short C, Plotnikoff R, Schoeppe S, Alley S, To Q, Rebar A, Duncan M. Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?—Secondary outcomes from a randomised controlled trial. Frontiers in Digital Health 2024;6 View
  48. Skovgaard L, Steenberg J, Lynning M. Perceived usefulness of digital self-tracking among people with multiple sclerosis. DIGITAL HEALTH 2024;10 View
  49. Emeran A, Burrows R, Loyson J, Behardien M, Wiemers L, Lambert E. The Effect of Text Message-Based mHealth Interventions on Physical Activity and Weight Loss: A Systematic Review and Meta-Analysis. American Journal of Lifestyle Medicine 2024 View
  50. 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
  51. Tandon A, Cobb B, Centra J, Izmailova E, Manyakov N, McClenahan S, Patel S, Sezgin E, Vairavan S, Vrijens B, Bakker J. Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review. Journal of Medical Internet Research 2024;26:e57628 View
  52. Werner M, Bischof A. The double-edged sword of self-tracking: investigating factors of technostress in performance-oriented cycling and triathlon. Frontiers in Sports and Active Living 2024;6 View