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

Web-based and Mobile Health Interventions (3345)
Associations of Internet Website Use With Weight Change in a Long-term Weight Loss Maintenance Program

Associations of Internet Website Use With Weight Change in a Long-term Weight Loss Maintenance Program

Associations of Internet Website Use With Weight Change in a Long-term Weight Loss Maintenance Program

Authors of this article:

Kristine L Funk1 ;   Victor J Stevens1 ;   Lawrence J Appel2 ;   Alan Bauck1 ;   Phillip J Brantley3 ;   Catherine M Champagne3 ;   Janelle Coughlin2 Author Orcid Image ;   Arlene T Dalcin2 ;   Jean Harvey-Berino4 ;   Jack F Hollis1 ;   Gerald J Jerome5 Author Orcid Image ;   Betty M Kennedy3 ;   Lillian F Lien6 ;   Valerie H Myers3 ;   Carmen Samuel-Hodge6 ;   Laura P Svetkey6 ;   William M Vollmer1
Article Authors Cited by (69) Tweetations (2) Metrics

Journals

  1. Newton R, Han H, Stewart T, Ryan D, Williamson D. Efficacy of a Pilot Internet-Based Weight Management Program (H.E.A.L.T.H.) and Longitudinal Physical Fitness Data in Army Reserve Soldiers. Journal of Diabetes Science and Technology 2011;5(5):1255 View
  2. Tomkins-Lane C, Lafave L, Parnell J, Rempel J, Moriartey S, Andreas Y, Wilson P, Hepler C, Ray H, Hu R. The spinal stenosis pedometer and nutrition lifestyle intervention (SSPANLI): development and pilot. The Spine Journal 2015;15(4):577 View
  3. Zheng Y, Klem M, Sereika S, Danford C, Ewing L, Burke L. Self-weighing in weight management: A systematic literature review. Obesity 2015;23(2):256 View
  4. Wilkinson L, Pacanowski C, Levitsky D. Three-Year Follow-Up of Participants from a Self-Weighing Randomized Controlled Trial. Journal of Obesity 2017;2017:1 View
  5. Greaney M, Sprunck-Harrild K, Bennett G, Puleo E, Haines J, Viswanath K, Emmons K. Use of Email and Telephone Prompts to Increase Self-Monitoring in a Web-Based Intervention: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(4):e96 View
  6. Alkhaldi G, Hamilton F, Lau R, Webster R, Michie S, Murray E. The Effectiveness of Technology-Based Strategies to Promote Engagement With Digital Interventions: A Systematic Review Protocol. JMIR Research Protocols 2015;4(2):e47 View
  7. 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
  8. Smith N, Liu S. A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions. Internet Interventions 2020;22:100344 View
  9. 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
  10. Leggio M, Lombardi M, Caldarone E, Severi P, D'Emidio S, Armeni M, Bravi V, Bendini M, Mazza A. The relationship between obesity and hypertension: an updated comprehensive overview on vicious twins. Hypertension Research 2017;40(12):947 View
  11. Muench F, Baumel A. More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions. Journal of Medical Internet Research 2017;19(5):e147 View
  12. Hwang K, Etchegaray J, Sciamanna C, Bernstam E, Thomas E. Structural social support predicts functional social support in an online weight loss programme. Health Expectations 2014;17(3):345 View
  13. Turner-McGrievy G, Tate D. Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions. International Journal of Medical Informatics 2014;83(5):313 View
  14. Aguilar-Martínez A, Solé-Sedeño J, Mancebo-Moreno G, Medina F, Carreras-Collado R, Saigí-Rubió F. Use of mobile phones as a tool for weight loss: a systematic review. Journal of Telemedicine and Telecare 2014;20(6):339 View
  15. Gogovor A, Visca R, Auger C, Bouvrette-Leblanc L, Symeonidis I, Poissant L, Ware M, Shir Y, Viens N, Ahmed S. Informing the development of an Internet-based chronic pain self-management program. International Journal of Medical Informatics 2017;97:109 View
  16. Demment M, Graham M, Olson C. How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation. Journal of Medical Internet Research 2014;16(8):e194 View
  17. Van Horn L, Peaceman A, Kwasny M, Vincent E, Fought A, Josefson J, Spring B, Neff L, Gernhofer N. Dietary Approaches to Stop Hypertension Diet and Activity to Limit Gestational Weight: Maternal Offspring Metabolics Family Intervention Trial, a Technology Enhanced Randomized Trial. American Journal of Preventive Medicine 2018;55(5):603 View
  18. Landsberg L, Aronne L, Beilin L, Burke V, Igel L, Lloyd‐Jones D, Sowers J. Obesity‐Related Hypertension: Pathogenesis, Cardiovascular Risk, and Treatment. The Journal of Clinical Hypertension 2013;15(1):14 View
  19. Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2017;24(5):703 View
  20. 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
  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. Milward J, Drummond C, Fincham-Campbell S, Deluca P. What makes online substance-use interventions engaging? A systematic review and narrative synthesis. DIGITAL HEALTH 2018;4 View
  23. Alston L, Partridge S. Limited dietary interventions in rural Australian communities: A systematic review. Nutrition & Dietetics 2021;78(1):57 View
  24. 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
  25. 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
  26. Kay M, Burroughs J, Askew S, Bennett G, Armstrong S, Steinberg D. Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial. Journal of Medical Internet Research 2018;20(12):e11093 View
  27. Woywodt A, Vythelingum K, Rayner S, Anderton J, Ahmed A. Single-centre experience with Renal PatientView, a web-based system that provides patients with access to their laboratory results. Journal of Nephrology 2014;27(5):521 View
  28. 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
  29. Nakata Y, Sasai H, Tsujimoto T, Hashimoto K, Kobayashi H. Web-based intervention to promote weight-loss maintenance using an activity monitor: A randomized controlled trial. Preventive Medicine Reports 2019;14:100839 View
  30. Fontaine K, Conn L, Clauw D. Effects of Lifestyle Physical Activity in Adults With Fibromyalgia. JCR: Journal of Clinical Rheumatology 2011;17(2):64 View
  31. 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
  32. Neve M, Morgan P, Collins C. Weight Change in a Commercial Web-Based Weight Loss Program and its Association With Website Use: Cohort Study. Journal of Medical Internet Research 2011;13(4):e83 View
  33. Honary M, Fisher N, McNaney R, Lobban F. A Web-Based Intervention for Relatives of People Experiencing Psychosis or Bipolar Disorder: Design Study Using a User-Centered Approach. JMIR Mental Health 2018;5(4):e11473 View
  34. 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
  35. Kelders S, Kok R, Ossebaard H, Van Gemert-Pijnen J. Persuasive System Design Does Matter: a Systematic Review of Adherence to Web-based Interventions. Journal of Medical Internet Research 2012;14(6):e152 View
  36. Ma J, Xiao L, Blonstein A. Measurement of Self-Monitoring Web Technology Acceptance and Use in an e-Health Weight-Loss Trial. Telemedicine and e-Health 2013;19(10):739 View
  37. 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
  38. 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
  39. Kraschnewski J, Stuckey H, Rovniak L, Lehman E, Reddy M, Poger J, Kephart D, Coups E, Sciamanna C. Efficacy of a Weight-Loss Website Based on Positive Deviance. American Journal of Preventive Medicine 2011;41(6):610 View
  40. Longin R, Grasse M, Aspalter R, Waldherr K. Effectiveness of the Online Weight Reduction Program KiloCoach™ and Comparison with Other Evaluated Commercial Direct Intervention and Online Programs. Obesity Facts 2012;5(3):372 View
  41. Svetkey L, Clark J, Funk K, Corsino L, Batch B, Hollis J, Appel L, Brantley P, Loria C, Champagne C, Vollmer W, Stevens V. Greater weight loss with increasing age in the weight loss maintenance trial. Obesity 2014;22(1):39 View
  42. 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
  43. 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
  44. Wieland L, Falzon L, Sciamanna C, Trudeau K, Brodney Folse S, Schwartz J, Davidson K. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database of Systematic Reviews 2012;2012(8) View
  45. 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
  46. Brantley P, Stewart D, Myers V, Matthews-Ewald M, Ard J, Coughlin J, Jerome G, Samuel-Hodge C, Lien L, Gullion C, Hollis J, Svetkey L, Stevens V. Psychosocial predictors of weight regain in the weight loss maintenance trial. Journal of Behavioral Medicine 2014;37(6):1155 View
  47. Kattelmann K, Bredbenner C, White A, Greene G, Hoerr S, Kidd T, Colby S, Horacek T, Phillips B, Koenings M, Brown O, Olfert M, Shelnutt K, Morrell J. The Effects of Young Adults Eating and Active for Health (YEAH): A Theory-Based Web-Delivered Intervention. Journal of Nutrition Education and Behavior 2014;46(6):S27 View
  48. Lin P, Grambow S, Intille S, Gallis J, Lazenka T, Bosworth H, Voils C, Bennett G, Batch B, Allen J, Corsino L, Tyson C, Svetkey L. The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e10471 View
  49. Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
  50. Landsberg L, Aronne L, Beilin L, Burke V, Igel L, Lloyd‐Jones D, Sowers J. Obesity‐related hypertension: Pathogenesis, cardiovascular risk, and treatment—A position paper of the The Obesity Society and the American Society of Hypertension. Obesity 2013;21(1):8 View
  51. LEBOEUF S, AUMER M, KRAUS W, JOHNSON J, DUSCHA B. Earbud-Based Sensor for the Assessment of Energy Expenditure, HR, and V˙O2max. Medicine & Science in Sports & Exercise 2014;46(5):1046 View
  52. Alkhaldi G, Hamilton F, Lau R, Webster R, Michie S, Murray E. The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review. Journal of Medical Internet Research 2016;18(1):e6 View
  53. McTigue K, Conroy M. Use of the internet in the treatment of obesity and prevention of type 2 diabetes in primary care. Proceedings of the Nutrition Society 2013;72(1):98 View
  54. Graham M, Strawderman M, Demment M, Olson C. Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(1):e6 View
  55. Aguilar-Martínez A, Tort E, Medina F, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419 View
  56. Dejonghe L, Rudolf K, Becker J, Stassen G, Froboese I, Schaller A. Health coaching for promoting physical activity in low back pain patients: a secondary analysis on the usage and acceptance. BMC Sports Science, Medicine and Rehabilitation 2020;12(1) View
  57. Ruland C, Maffei R, Børøsund E, Krahn A, Andersen T, Grimsbø G. Evaluation of different features of an eHealth application for personalized illness management support: Cancer patients’ use and appraisal of usefulness. International Journal of Medical Informatics 2013;82(7):593 View
  58. Power J, Phelan S, Hatley K, Brannen A, Muñoz-Christian K, Legato M, Tate D. Engagement and Weight Loss in a Web and Mobile Program for Low-Income Postpartum Women: Fit Moms/Mamás Activas. Health Education & Behavior 2019;46(2_suppl):114S View
  59. Børøsund E, Cvancarova M, Ekstedt M, Moore S, Ruland C. How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer. Journal of Medical Internet Research 2013;15(3):e34 View
  60. Chen Y, Perez-Cueto F, Giboreau A, Mavridis I, Hartwell H. The Promotion of Eating Behaviour Change through Digital Interventions. International Journal of Environmental Research and Public Health 2020;17(20):7488 View
  61. Bremer V, Chow P, Funk B, Thorndike F, Ritterband L. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach. Journal of Medical Internet Research 2020;22(10):e17738 View
  62. O’Connor E, Evans C, Rushkin M, Redmond N, Lin J. Behavioral Counseling to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults With Cardiovascular Risk Factors. JAMA 2020;324(20):2076 View
  63. Mitchell E, Yang Q, Behr H, Ho A, DeLuca L, May C, Michaelides A. Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight. International Journal of Environmental Research and Public Health 2021;18(4):1712 View
  64. Dutton G, Kinsey A, Howell C, Pisu M, Dobelstein A, Allison D, Xun P, Levitsky D, Fontaine K. The daily Self-Weighing for Obesity Management in Primary Care Study: Rationale, design and methodology. Contemporary Clinical Trials 2021;107:106463 View
  65. Encantado J, Palmeira A, Silva C, Sniehotta F, Stubbs R, Gouveia M, Teixeira P, Heitmann B, Marques M. What goes on in digital behaviour change interventions for weight loss maintenance targeting physical activity: A scoping review. DIGITAL HEALTH 2022;8:205520762211290 View
  66. Lanoye A, LaRose J. Social Jetlag and Emerging Adults’ Performance in a Behavioral Weight Loss Trial. Emerging Adulthood 2022;10(3):660 View
  67. Margaret Ashwell M, Howarth E, Chesters D, Allan P, Hoyland A, Walton J. A Web-Based Weight Loss Programme Including Breakfast Cereals Results in Greater Loss of Body Mass than a Standardised Web-Based Programme in a Randomised Controlled Trial. Obesity Facts 2014;7(6):361 View
  68. Williams M, Manjourides J, Smith L, Rainer C, Hightow-Weidman L, Haley D. Digital intervention engagement mediates the relationship between intrapersonal measures and pre-exposure prophylaxis adherence: a secondary analysis of a randomized controlled trial of sexual orientation and gender minority youth on pre-exposure prophylaxis (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Mete R, Georgousopoulou E, Mellor D, Khoo J, Cheong M, Leeds A, Allan K, Avery A, Hart K, Muir A, Abdeen G, Ross N, Bruce D, O'Kane M, Hopkins M, Gibbons C, King N, Mead B, Boyland E, Avenell A, Robertson C, Archibald D, Spanos D, Melville C, Jones N, McCombie L, Grieve E. Advanced Nutrition and Dietetics in Obesity. View