Published on in Vol 12, No 1 (2010): Jan-Mar

Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program

Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program

Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program

Authors of this article:

Martin Binks1, 2 ;   Trevor van Mierlo3, 4 Author Orcid Image

Journals

  1. Kelders S, Van Gemert-Pijnen J, Werkman A, Nijland N, Seydel E. Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage. Journal of Medical Internet Research 2011;13(2):e32 View
  2. McCully S, Don B, Updegraff J. Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS). Journal of Medical Internet Research 2013;15(8):e148 View
  3. Crutzen R, Cyr D, de Vries N. The Role of User Control in Adherence to and Knowledge Gained from a Website: Randomized Comparison Between a Tunneled Version and a Freedom-of-Choice Version. Journal of Medical Internet Research 2012;14(2):e45 View
  4. van Mierlo T, Voci S, Lee S, Fournier R, Selby P. Superusers in Social Networks for Smoking Cessation: Analysis of Demographic Characteristics and Posting Behavior From the Canadian Cancer Society's Smokers' Helpline Online and StopSmokingCenter.net. Journal of Medical Internet Research 2012;14(3):e66 View
  5. Lieffers J, Haresign H, Mehling C, Hanning R. A retrospective analysis of real-world use of the eaTracker® My Goals website by adults from Ontario and Alberta, Canada. BMC Public Health 2016;16(1) View
  6. van Mierlo T. The 1% Rule in Four Digital Health Social Networks: An Observational Study. Journal of Medical Internet Research 2014;16(2):e33 View
  7. Della Corte V, Mangia G, Cascella C, Zamparelli G, Tomo A. Employer Branding Management as a Strategic and Organizational Control Tool. SSRN Electronic Journal 2015 View
  8. Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. Adherence to a Web-Based Physical Activity Intervention for Patients With Knee and/or Hip Osteoarthritis: A Mixed Method Study. Journal of Medical Internet Research 2013;15(10):e223 View
  9. 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
  10. Hill R, Moran N. Social marketing meets interactive media. International Journal of Advertising 2011;30(5):815 View
  11. Robroek S, Lindeboom D, Burdorf A. Initial and Sustained Participation in an Internet-delivered Long-term Worksite Health Promotion Program on Physical Activity and Nutrition. Journal of Medical Internet Research 2012;14(2):e43 View
  12. van Mierlo T, Hyatt D, Ching A, Fournier R, Dembo R. Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games 2016;4(1):e1 View
  13. Lieffers J, Haresign H, Mehling C, Arocha J, Hanning R. The website-based eaTracker®‘My Goals’ feature: a qualitative evaluation. Public Health Nutrition 2017;20(5):859 View
  14. Nijland N, van Gemert-Pijnen J, Kelders S, Brandenburg B, Seydel E. Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study. Journal of Medical Internet Research 2011;13(3):e71 View
  15. Binks M, Mierlo T, Edwards C. Relationships of the Psychological Influence of Food and Barriers to Lifestyle Change to Weight and Utilization of Online Weight Loss Tools. The Open Medical Informatics Journal 2012;6(1):9 View
  16. Aljuraiban G. Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12692 View
  17. Hwang K, Ning J, Trickey A, Sciamanna C. Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study. Journal of Medical Internet Research 2013;15(1):e11 View
  18. Boucher S, Edwards O, Gray A, Nada-Raja S, Lillis J, Tylka T, Horwath C. Teaching Intuitive Eating and Acceptance and Commitment Therapy Skills Via a Web-Based Intervention: A Pilot Single-Arm Intervention Study. JMIR Research Protocols 2016;5(4):e180 View
  19. Crutzen R, Cyr D, Larios H, Ruiter R, de Vries N, Martinez L. Social Presence and Use of Internet-Delivered Interventions: A Multi-Method Approach. PLoS ONE 2013;8(2):e57067 View
  20. Selby P, van Mierlo T, Voci S, Parent D, Cunningham J. Online Social and Professional Support for Smokers Trying to Quit: An Exploration of First Time Posts From 2562 Members. Journal of Medical Internet Research 2010;12(3):e34 View
  21. Kwon B, Hur I, Yi J. A Review of Web‐Based Dietary Interventions: From the Human–Computer Interaction Practitioners' Perspective. Human Factors and Ergonomics in Manufacturing & Service Industries 2014;24(3):241 View
  22. van Mierlo T, Fournier R, Ingham M, Wallace G. Targeting Medication Non-Adherence Behavior in Selected Autoimmune Diseases: A Systematic Approach to Digital Health Program Development. PLOS ONE 2015;10(6):e0129364 View
  23. Neve M, Collins C, Morgan P. Dropout, Nonusage Attrition, and Pretreatment Predictors of Nonusage Attrition in a Commercial Web-Based Weight Loss Program. Journal of Medical Internet Research 2010;12(4):e69 View
  24. 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
  25. Cole R, Meyer S, Newman T, Kieffer A, Wax S, Stote K, Madanat H. The My Body Knows When Program Increased Intuitive Eating Characteristics in a Military Population. Military Medicine 2019;184(7-8):e200 View
  26. van Genugten L, van Empelen P, Boon B, Borsboom G, Visscher T, Oenema A. Results from an Online Computer-Tailored Weight Management Intervention for Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(2):e44 View
  27. 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
  28. Turner-McGrievy G, Tate D. Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention. Translational Behavioral Medicine 2013;3(3):287 View
  29. Ludden G, van Rompay T, Kelders S, van Gemert-Pijnen J. How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint. Journal of Medical Internet Research 2015;17(7):e172 View
  30. Kim J, Wineinger N, Taitel M, Radin J, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292 View
  31. Yoong S, Carey M, Sanson-Fisher R, D’Este C. A cross-sectional study assessing Australian general practice patients’ intention, reasons and preferences for assistance with losing weight. BMC Family Practice 2013;14(1) View
  32. Lieffers J, Quintanilha M, Trottier C, Johnson S, Mota J, Prado C. Experiences with and Perception of a Web-Based Mindfulness, Nutrition, and Fitness Platform Reported by First-Year University Students: A Qualitative Study. Journal of the Academy of Nutrition and Dietetics 2021;121(12):2409 View
  33. Yi S, Li M, Yang Q, Qin Z, Yi S, Xu J, Chen J, Wei H, Jiang Y, Wei R, Zhang Q, Yang C, Chen B, Luo J. De Novo SMARCC2 Variant in a Chinese Woman with Coffin-Siris Syndrome 8: a Case Report with Mild Intellectual Disability and Endocrinopathy. Journal of Molecular Neuroscience 2022;72(6):1293 View
  34. Fichtner U, Armbruster C, Bischoff M, Maiwald P, Sehlbrede M, Tinsel I, Brame J, Kohl J, König D, Fuchs R, Wurst R, Farin-Glattacker E. Evaluation of an Interactive Web-Based Health Program for Weight Loss—A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2022;19(22):15157 View
  35. Huang S. Social Information Avoidance: When, why, and how it is Costly in Goal Pursuit. Journal of Marketing Research 2018;55(3):382 View
  36. Teckchandani T, Shields R, Andrews K, Maguire K, Jamshidi L, Nisbet J, Afifi T, Lix L, Stewart S, Sauer-Zavala S, Krakauer R, Neary J, Krätzig G, Carleton R. Trouble with the curve: the 90–9-1 rule to measure volitional participation inequalities among Royal Canadian Mounted Police cadets during training. Frontiers in Psychiatry 2024;15 View

Books/Policy Documents

  1. Kelders S, van Gemert-Pijnen J. Persuasive Technology. View