Published on in Vol 14, No 1 (2012): Jan-Feb

Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia

Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia

Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia

Journals

  1. Reininger B, Mecca L, Stine K, Schultz K, Ling L, Halpern D. A Type 2 Diabetes Prevention Website for African Americans, Caucasians, and Mexican Americans: Formative Evaluation. JMIR Research Protocols 2013;2(2):e24 View
  2. Duncan M, Vandelanotte C, Kolt G, Rosenkranz R, Caperchione C, George E, Ding H, Hooker C, Karunanithi M, Maeder A, Noakes M, Tague R, Taylor P, Viljoen P, Mummery W. Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study. Journal of Medical Internet Research 2014;16(6):e136 View
  3. Rosenkranz R, Duncan M, Caperchione C, Kolt G, Vandelanotte C, Maeder A, Savage T, Mummery W. Validity of the Stages of Change in Steps instrument (SoC-Step) for achieving the physical activity goal of 10,000 steps per day. BMC Public Health 2015;15(1) View
  4. de la Peña A, Quintanilla C. Share, like and achieve: the power of Facebook to reach health-related goals. International Journal of Consumer Studies 2015;39(5):495 View
  5. Owen J, Bantum E, Gorlick A, Stanton A. Engagement with a Social Networking Intervention for Cancer-Related Distress. Annals of Behavioral Medicine 2015;49(2):154 View
  6. Guertler D, Vandelanotte C, Kirwan M, Duncan M. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176 View
  7. Tallner A, Pfeifer K, Mäurer M. Web-based interventions in multiple sclerosis: the potential of tele-rehabilitation. Therapeutic Advances in Neurological Disorders 2016;9(4):327 View
  8. Compernolle S, De Cocker K, Lakerveld J, Mackenbach J, Nijpels G, Oppert J, Rutter H, Teixeira P, Cardon G, De Bourdeaudhuij I. A RE-AIM evaluation of evidence-based multi-level interventions to improve obesity-related behaviours in adults: a systematic review (the SPOTLIGHT project). International Journal of Behavioral Nutrition and Physical Activity 2014;11(1) View
  9. Tzelepis F, Paul C, Wiggers J, Kypri K, Bonevski B, McElduff P, Hill M, Morgan P, Lynagh M, Collins C, Campbell E, Courtney R, Chapman K, Wolfenden L, Guillaumier A, Searles A. Targeting multiple health risk behaviours among vocational education students using electronic feedback and online and telephone support: protocol for a cluster randomised trial. BMC Public Health 2015;15(1) View
  10. Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research 2012;14(6):e173 View
  11. McCormack G, McFadden K, McHugh T, Spence J, Mummery K. Barriers and facilitators impacting the experiences of adults participating in an internet-facilitated pedometer intervention. Psychology of Sport and Exercise 2019;45:101549 View
  12. Irvine A, Gelatt V, Hammond M, Seeley J. A Randomized Study of Internet Parent Training Accessed From Community Technology Centers. Prevention Science 2015;16(4):597 View
  13. Vandelanotte C, Short C, Plotnikoff R, Hooker C, Canoy D, Rebar A, Alley S, Schoeppe S, Mummery W, Duncan M. TaylorActive – Examining the effectiveness of web-based personally-tailored videos to increase physical activity: a randomised controlled trial protocol. BMC Public Health 2015;15(1) View
  14. Duncan M, Brown W, Mummery W, Vandelanotte C. 10,000 Steps Australia: a community-wide eHealth physical activity promotion programme. British Journal of Sports Medicine 2018;52(14):885 View
  15. O'Connor E, Farrow M, Hatherly C. Randomized Comparison of Mobile and Web-Tools to Provide Dementia Risk Reduction Education: Use, Engagement and Participant Satisfaction. JMIR Mental Health 2014;1(1):e4 View
  16. Hageman P, Mroz J, Yoerger M, Pullen C. User Engagement Associated with Web-Intervention Features to Attain Clinically Meaningful Weight Loss and Weight Maintenance in Rural Women. Journal of Obesity 2019;2019:1 View
  17. Elaheebocus S, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20 View
  18. Irvine A, Gelatt V, Seeley J, Macfarlane P, Gau J. Web-based Intervention to Promote Physical Activity by Sedentary Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(2):e19 View
  19. Hermsen S, Moons J, Kerkhof P, Wiekens C, De Groot M. Determinants for Sustained Use of an Activity Tracker: Observational Study. JMIR mHealth and uHealth 2017;5(10):e164 View
  20. Kelders S, Bohlmeijer E, Van Gemert-Pijnen J. Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(8):e172 View
  21. 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
  22. Thorsteinsen K, Vittersø J, Svendsen G. Increasing Physical Activity Efficiently: An Experimental Pilot Study of a Website and Mobile Phone Intervention. International Journal of Telemedicine and Applications 2014;2014:1 View
  23. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  24. Mohammadi R, Atif M, Centi A, Agboola S, Jethwani K, Kvedar J, Kamarthi S. Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study. JMIR mHealth and uHealth 2020;8(9):e18142 View
  25. Coulson N, Smedley R, Bostock S, Kyle S, Gollancz R, Luik A, Hames P, Espie C. The Pros and Cons of Getting Engaged in an Online Social Community Embedded Within Digital Cognitive Behavioral Therapy for Insomnia: Survey Among Users. Journal of Medical Internet Research 2016;18(4):e88 View
  26. Rayward A, Vandelanotte C, Corry K, Van Itallie A, Duncan M. Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program. International Journal of Environmental Research and Public Health 2019;16(24):5076 View
  27. Kolt G, Rosenkranz R, Vandelanotte C, Caperchione C, Maeder A, Tague R, Savage T, Van I, Mummery W, Oldmeadow C, Duncan M. Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial. British Journal of Sports Medicine 2017;51(19):1433 View
  28. Taki S, Lymer S, Russell C, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89 View
  29. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  30. Hunter R, Gough A, Murray J, Tang J, Brennan S, Chrzanowski-Smith O, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully M, French D, Adams J, McIntosh E, Xin Y, Kee F. A loyalty scheme to encourage physical activity in office workers: a cluster RCT. Public Health Research 2019;7(15):1 View
  31. Meyer D, Jayawardana M, Muir S, Ho D, Sackett O. Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(10):e267 View
  32. Vandelanotte C, Duncan M, Plotnikoff R, Mummery W. Do Participants’ Preferences for Mode of Delivery (Text, Video, or Both) Influence the Effectiveness of a Web-Based Physical Activity Intervention?. Journal of Medical Internet Research 2012;14(1):e37 View
  33. Kolt G, Rosenkranz R, Savage T, Maeder A, Vandelanotte C, Duncan M, Caperchione C, Tague R, Hooker C, Mummery W. WALK 2.0 - Using Web 2.0 applications to promote health-related physical activity: A randomised controlled trial protocol. BMC Public Health 2013;13(1) View
  34. Edney S, Plotnikoff R, Vandelanotte C, Olds T, De Bourdeaudhuij I, Ryan J, Maher C. “Active Team” a social and gamified app-based physical activity intervention: randomised controlled trial study protocol. BMC Public Health 2017;17(1) View
  35. Jennings C, Berry T, Carson V, Culos-Reed S, Duncan M, Loitz C, McCormack G, McHugh T, Spence J, Vallance J, Mummery W. UWALK: the development of a multi-strategy, community-wide physical activity program. Translational Behavioral Medicine 2017;7(1):16 View
  36. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  37. Graham A, Cha S, Papandonatos G, Cobb N, Mushro A, Fang Y, Niaura R, Abrams D. Improving adherence to web-based cessation programs: a randomized controlled trial study protocol. Trials 2013;14(1):48 View
  38. Zhang R, Nicholas J, Knapp A, Graham A, Gray E, Kwasny M, Reddy M, Mohr D. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644 View
  39. Solar C, Halat A, MacLean R, Rajeevan H, Williams D, Krein S, Heapy A, Bair M, Kerns R, Higgins D. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2021;11(6):1274 View
  40. Atorkey P, Paul C, Bonevski B, Wiggers J, Mitchell A, Byrnes E, Lecathelinais C, Tzelepis F. Uptake of Proactively Offered Online and Telephone Support Services Targeting Multiple Health Risk Behaviors Among Vocational Education Students: Process Evaluation of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(1):e19737 View
  41. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180 View
  42. 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
  43. Kim M, Yang J, Ahn W, Choi H. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218 View

Books/Policy Documents

  1. Kelders S, van Gemert-Pijnen J. Persuasive Technology. View
  2. Vandelanotte C, Alley S, Persaud N, Horsley M. Current Trends in Eye Tracking Research. View