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

Web-based and Mobile Health Interventions (3297)

Published on in Vol 14, No 6 (2012): Nov-Dec

Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

Authors of this article:

Emily Brindal1 Author Orcid Image ;   Jill Freyne2 Author Orcid Image ;   Ian Saunders3 ;   Shlomo Berkovsky2 ;   Greg Smith4 ;   Manny Noakes1
Article Authors Cited by (80) Tweetations (54) Metrics

Journals

  1. Kupzyk K, Pozehl B, Pullen C, Hageman P. Behavior-Specific Cognitions Moderate Rural Women's Responsiveness to Web-Based Interventions for Weight Loss. Journal of Nutrition Education and Behavior 2020;52(5):474 View
  2. Pagoto S, Waring M, May C, Ding E, Kunz W, Hayes R, Oleski J. Adapting Behavioral Interventions for Social Media Delivery. Journal of Medical Internet Research 2016;18(1):e24 View
  3. Gilmore L, Klempel M, Martin C, Myers C, Burton J, Sutton E, Redman L. Personalized Mobile Health Intervention for Health and Weight Loss in Postpartum Women Receiving Women, Infants, and Children Benefit: A Randomized Controlled Pilot Study. Journal of Women's Health 2017;26(7):719 View
  4. Simpson S, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the HelpMeDoIt! feasibility RCT. Public Health Research 2020;8(3):1 View
  5. Hammersley M, Okely A, Batterham M, Jones R. Can Parental Engagement in Social Media Enhance Outcomes of an Online Healthy Lifestyle Program for Preschool-Aged Children?. Health Communication 2020;35(9):1162 View
  6. 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
  7. Hageman P, Pullen C, Hertzog M, Pozehl B, Eisenhauer C, Boeckner L. Web-Based Interventions Alone or Supplemented with Peer-Led Support or Professional Email Counseling for Weight Loss and Weight Maintenance in Women from Rural Communities: Results of a Clinical Trial. Journal of Obesity 2017;2017:1 View
  8. Arden-Close E, Smith E, Bradbury K, Morrison L, Dennison L, Michaelides D, Yardley L. A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR). JMIR Human Factors 2015;2(1):e8 View
  9. Hutchesson M, Rollo M, Krukowski R, Ells L, Harvey J, Morgan P, Callister R, Plotnikoff R, Collins C. eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta‐analysis. Obesity Reviews 2015;16(5):376 View
  10. 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
  11. Chang T, Chopra V, Zhang C, Woolford S. The Role of Social Media in Online Weight Management: Systematic Review. Journal of Medical Internet Research 2013;15(11):e262 View
  12. Yardley L, Spring B, Riper H, Morrison L, Crane D, Curtis K, Merchant G, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833 View
  13. Sharpe E, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205 View
  14. Brindal E. The POWeR of looking into the black box. The Lancet Diabetes & Endocrinology 2016;4(10):800 View
  15. Ryan J, Edney S, Maher C. Engagement, compliance and retention with a gamified online social networking physical activity intervention. Translational Behavioral Medicine 2017;7(4):702 View
  16. Mita G, Ni Mhurchu C, Jull A. Effectiveness of social media in reducing risk factors for noncommunicable diseases: a systematic review and meta-analysis of randomized controlled trials. Nutrition Reviews 2016;74(4):237 View
  17. Yang Q. Are Social Networking Sites Making Health Behavior Change Interventions More Effective? A Meta-Analytic Review. Journal of Health Communication 2017;22(3):223 View
  18. Du H, Venkatakrishnan A, Youngblood G, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4 View
  19. 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
  20. Ziebland S, Powell J, Briggs P, Jenkinson C, Wyke S, Sillence E, Harris P, Perera R, Mazanderani F, Martin A, Locock L, Kelly L, Booth M, Gann B, Newhouse N, Farmer A. Examining the role of patients’ experiences as a resource for choice and decision-making in health care: a creative, interdisciplinary mixed-method study in digital health. Programme Grants for Applied Research 2016;4(17):1 View
  21. Svensson M, Hult M, van der Mark M, Grotta A, Jonasson J, von Hausswolff-Juhlin Y, Rössner S, Trolle Lagerros Y. The Change in Eating Behaviors in a Web-Based Weight Loss Program: A Longitudinal Analysis of Study Completers. Journal of Medical Internet Research 2014;16(11):e234 View
  22. Liu Y, Yin Z. Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques. Journal of Medical Internet Research 2020;22(6):e13745 View
  23. Owen J, Curran M, Bantum E, Hanneman R. Characterizing Social Networks and Communication Channels in a Web-Based Peer Support Intervention. Cyberpsychology, Behavior, and Social Networking 2016;19(6):388 View
  24. Klassen K, Douglass C, Brennan L, Truby H, Lim M. Social media use for nutrition outcomes in young adults: a mixed-methods systematic review. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1) View
  25. Tang J, Abraham C, Greaves C, Nikolaou V. Self-directed interventions to promote weight loss: a systematic review and meta-analysis. Health Psychology Review 2016;10(3):358 View
  26. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  27. Bogaerts A, Bijlholt M, Mertens L, Braeken M, Jacobs B, Vandenberghe B, Ameye L, Devlieger R. Development and Field Evaluation of the INTER-ACT App, a Pregnancy and Interpregnancy Coaching App to Reduce Maternal Overweight and Obesity: Mixed Methods Design. JMIR Formative Research 2020;4(2):e16090 View
  28. Maher C, Lewis L, Ferrar K, Marshall S, De Bourdeaudhuij I, Vandelanotte C. Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review. Journal of Medical Internet Research 2014;16(2):e40 View
  29. Dahl A, Hales S, Turner-McGrievy G. Integrating social media into weight loss interventions. Current Opinion in Psychology 2016;9:11 View
  30. Cox M, Basen-Engquist K, Carmack C, Blalock J, Li Y, Murray J, Pisters L, Rodriguez-Bigas M, Song J, Cox-Martin E, Demark-Wahnefried W. Comparison of Internet and Telephone Interventions for Weight Loss Among Cancer Survivors: Randomized Controlled Trial and Feasibility Study. JMIR Cancer 2017;3(2):e16 View
  31. 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
  32. Win K, Ramaprasad A, Syn T. Ontological Review of Persuasion Support Systems (PSS) for Health Behavior Change through Physical Activity. Journal of Medical Systems 2019;43(3) View
  33. Maher C, Ryan J, Kernot J, Podsiadly J, Keenihan S. Social media and applications to health behavior. Current Opinion in Psychology 2016;9:50 View
  34. Caplette M, Provencher V, Bissonnette-Maheux V, Dugrenier M, Lapointe A, Gagnon M, Straus S, Desroches S. Increasing Fruit and Vegetable Consumption Through a Healthy Eating Blog: A Feasibility Study. JMIR Research Protocols 2017;6(4):e59 View
  35. San-Cristobal R, Navas-Carretero S, Celis-Morales C, Brennan L, Walsh M, Lovegrove J, Daniel H, Saris W, Traczyk I, Manios Y, Gibney E, Gibney M, Mathers J, Martinez J. Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort. Nutrients 2015;7(11):9523 View
  36. Koufopoulos J, Conner M, Gardner P, Kellar I. A Web-Based and Mobile Health Social Support Intervention to Promote Adherence to Inhaled Asthma Medications: Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e122 View
  37. Bardus M, Smith J, Samaha L, Abraham C. Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review. Journal of Medical Internet Research 2015;17(11):e259 View
  38. Mroz J, Pullen C, Hageman P. Health and appearance reasons for weight loss as predictors of long-term weight change. Health Psychology Open 2018;5(2) View
  39. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan M. Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1) View
  40. Berkovsky S, Freyne J. Personalized Social Network Activity Feeds for Increased Interaction and Content Contribution. Frontiers in Robotics and AI 2015;2 View
  41. Hutchesson M, Tan C, Morgan P, Callister R, Collins C. Enhancement of Self-Monitoring in a Web-Based Weight Loss Program by Extra Individualized Feedback and Reminders: Randomized Trial. Journal of Medical Internet Research 2016;18(4):e82 View
  42. Hartley S, Aussert F, Londe V, Dagneaux S, Royant-Parola S. La prise en charge des troubles du sommeil : l’apport d’un forum internet. Médecine du Sommeil 2015;12(3):123 View
  43. Jee H. Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3 View
  44. Laranjo L, Arguel A, Neves A, Gallagher A, Kaplan R, Mortimer N, Mendes G, Lau A. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. Journal of the American Medical Informatics Association 2015;22(1):243 View
  45. Taiminen H. How do online communities matter? Comparison between active and non-active participants in an online behavioral weight loss program. Computers in Human Behavior 2016;63:787 View
  46. 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
  47. Allen J, Stephens J, Patel A. Technology-Assisted Weight Management Interventions: Systematic Review of Clinical Trials. Telemedicine and e-Health 2014;20(12):1103 View
  48. Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
  49. Xu Z, Geng J, Zhang S, Zhang K, Yang L, Li J, Li J. A Mobile-Based Intervention for Dietary Behavior and Physical Activity Change in Individuals at High Risk for Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(11):e19869 View
  50. Hendrie G, Baird D, Brindal E, Williams G, Brand-Miller J, Muhlhausler B. Weight Loss and Usage of an Online Commercial Weight Loss Program (the CSIRO Total Wellbeing Diet Online) Delivered in an Everyday Context: Five-Year Evaluation in a Community Cohort. Journal of Medical Internet Research 2021;23(6):e20981 View
  51. Brindal E, Golley S. How can different psychological and behavioural constructs be used to personalise weight management? Development of the diet styles. Appetite 2021;164:105272 View
  52. Scarpa M, Prilletensky I, McMahon A, Myers N, Prilleltensky O, Lee S, Pfeiffer K, Bateman A, Brincks A. Is Fun For Wellness Engaging? Evaluation of User Experience of an Online Intervention to Promote Well-Being and Physical Activity. Frontiers in Computer Science 2021;3 View
  53. Mooney A, Tsotsoros C, Earl J, Hershey D, Mooney C. Enhancing Planning Behavior during Retirement: Effects of a Time Perspective Based Training Intervention. Social Sciences 2021;10(8):306 View
  54. Shi Y, Wakaba K, Kiyohara K, Hayashi F, Tsushita K, Nakata Y. Effectiveness and Components of Web-Based Interventions on Weight Changes in Adults Who Were Overweight and Obese: A Systematic Review with Meta-Analyses. Nutrients 2022;15(1):179 View
  55. Abqari U, van 't Noordende A, Richardus J, Isfandiari M, Korfage I. Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: A systematic literature review. International Journal of Medical Informatics 2022;162:104737 View
  56. Berry M, Chwyl C, Metzler A, Sun J, Dart H, Forman E. Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression. Health Psychology Review 2023;17(4):521 View
  57. 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
  58. Lier L, Breuer C, Ferrari N, Friesen D, Maisonave F, Schmidt N, Graf C. Individual Physical Activity Behaviour and Group Composition as Determinants of the Effectiveness of a Childhood Obesity Intervention Program. Obesity Facts 2021;14(1):100 View
  59. Buller D, Walkosz B, Henry K, Woodall W, Pagoto S, Berteletti J, Kinsey A, Divito J, Baker K, Hillhouse J. Promoting Social Distancing and COVID-19 Vaccine Intentions to Mothers: Randomized Comparison of Information Sources in Social Media Messages. JMIR Infodemiology 2022;2(2):e36210 View
  60. Buller D, Pagoto S, Henry K, Baker K, Walkosz B, Hillhouse J, Berteletti J, Bibeau J. Effects of Engagement with a Social Media Campaign for Mothers to Prevent Indoor Tanning by Teens in a Randomized Trial. Journal of Health Communication 2022;27(6):394 View
  61. Shiyab W, Halcomb E, Rolls K, Ferguson C. The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review. Journal of Medical Internet Research 2023;25:e38429 View
  62. Loh Y, Yaw Q, Lau Y. Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression. International Journal of Obesity 2023;47(7):606 View
  63. 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
  64. Jensen M, Nielsen S, Jessen-Winge C, Madsen C, Thilsing T, Larrabee Sønderlund A, Christensen J. The effectiveness of social-support-based weight-loss interventions—a systematic review and meta-analysis. International Journal of Obesity 2024;48(5):599 View
  65. Matthews L, Pugmire J, Moore L, Kelson M, McConnachie A, McIntosh E, Morgan-Trimmer S, Murphy S, Hughes K, Coulman E, Utkina-Macaskill O, Simpson S. Study protocol for the ‘HelpMeDoIt!’ randomised controlled feasibility trial: an app, web and social support-based weight loss intervention for adults with obesity. BMJ Open 2017;7(10):e017159 View
  66. Williams G, Hamm M, Shulhan J, Vandermeer B, Hartling L. Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 2014;4(2):e003926 View
  67. Renshaw S, Carley K. Linking online activity to offline behavior: A meta-review of three decades of online-to-offline scholarship with future implications for AI. Emerging Trends in Drugs, Addictions, and Health 2024;4:100154 View
  68. Herring S, Yu D, Darden N, Bailer B, Cruice J, Albert J, Santoro C, Bersani V, Hart C, Finkelstein E, Kilby L, Lu X, Bennett G, Foster G. Efficacy of an mHealth‐delivered behavioral intervention on weight loss and cardiometabolic risk in African American postpartum people with overweight or obesity: the SnapBack randomized controlled trial. Obesity 2024;32(9):1646 View
  69. ten Klooster I, Kip H, Beyer S, van Gemert-Pijnen L, Kelders S. Clarifying the Concepts of Personalization and Tailoring of eHealth Technologies: Multimethod Qualitative Study. Journal of Medical Internet Research 2024;26:e50497 View

Books/Policy Documents

  1. Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. View
  2. Luo L. Temporal Modelling of Customer Behaviour. View
  3. Becker D. Advances in Information and Communication Networks. View
  4. Laranjo L. Participatory Health Through Social Media. View
  5. Sillence E, Briggs P, Harris P. Web-Based Behavioral Therapies for Mental Disorders. View
  6. Nepal S, Paris C, Pour P, Freyne J, Bista S. User Modeling, Adaptation, and Personalization. View