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Citing this Article

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Published on 12.12.12 in Vol 14, No 6 (2012): Nov-Dec

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2156):

(note that this is only a small subset of citations)

  1. Kupzyk KA, Pozehl B, Pullen CH, Hageman PA. 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
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  3. Gilmore LA, Klempel MC, Martin CK, Myers CA, Burton JH, Sutton EF, Redman LM. 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
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  4. Simpson SA, 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
    CrossRef
  5. Hammersley ML, Okely AD, Batterham MJ, Jones RA. Can Parental Engagement in Social Media Enhance Outcomes of an Online Healthy Lifestyle Program for Preschool-Aged Children?. Health Communication 2020;35(9):1162
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  6. Elaheebocus SMRA, 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
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  7. Hageman PA, Pullen CH, Hertzog M, Pozehl B, Eisenhauer C, Boeckner LS. 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
    CrossRef
  8. Arden-Close EJ, 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
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  9. Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, Callister R, Plotnikoff R, Collins CE. 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
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  10. Hageman PA, Mroz JE, Yoerger MA, Pullen CH. 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
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  11. Chang T, Chopra V, Zhang C, Woolford SJ. The Role of Social Media in Online Weight Management: Systematic Review. Journal of Medical Internet Research 2013;15(11):e262
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  12. Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH, Curtis K, Merchant GC, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833
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  13. Sharpe EE, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205
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  14. . The POWeR of looking into the black box. The Lancet Diabetes & Endocrinology 2016;4(10):800
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  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
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  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
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  17. . Are Social Networking Sites Making Health Behavior Change Interventions More Effective? A Meta-Analytic Review. Journal of Health Communication 2017;22(3):223
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  18. Du H, Venkatakrishnan A, Youngblood GM, 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
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  19. Duncan M, Vandelanotte C, Kolt GS, Rosenkranz RR, Caperchione CM, George ES, Ding H, Hooker C, Karunanithi M, Maeder AJ, Noakes M, Tague R, Taylor P, Viljoen P, Mummery WK. 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
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  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
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  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
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  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
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  23. Owen JE, Curran M, Bantum EO, Hanneman R. Characterizing Social Networks and Communication Channels in a Web-Based Peer Support Intervention. Cyberpsychology, Behavior, and Social Networking 2016;19(6):388
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  24. Klassen KM, Douglass CH, Brennan L, Truby H, Lim MSC. 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)
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  25. Tang JCH, Abraham C, Greaves CJ, Nikolaou V. Self-directed interventions to promote weight loss: a systematic review and meta-analysis. Health Psychology Review 2016;10(3):358
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  26. . Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
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  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
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  28. Maher CA, Lewis LK, 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
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  29. Dahl AA, Hales SB, Turner-McGrievy GM. Integrating social media into weight loss interventions. Current Opinion in Psychology 2016;9:11
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  30. Cox M, Basen-Engquist K, Carmack CL, 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
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  31. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. 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
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  32. Win KT, 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)
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  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
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  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
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  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
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  36. Koufopoulos JT, Conner MT, Gardner PH, 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
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  37. Bardus M, Smith JR, 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
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  38. Mroz JE, Pullen CH, Hageman PA. Health and appearance reasons for weight loss as predictors of long-term weight change. Health Psychology Open 2018;5(2):205510291881660
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  39. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan MJ. 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)
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  40. Berkovsky S, Freyne J. Personalized Social Network Activity Feeds for Increased Interaction and Content Contribution. Frontiers in Robotics and AI 2015;2
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  41. Hutchesson MJ, Tan CY, 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
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  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
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  43. . Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3
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  44. Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N, Mendes GA, Lau AYS. 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
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  45. . 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
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  46. Forman EM, Kerrigan SG, Butryn ML, Juarascio AS, Manasse SM, Ontañón S, Dallal DH, Crochiere RJ, 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
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  47. Allen JK, Stephens J, Patel A. Technology-Assisted Weight Management Interventions: Systematic Review of Clinical Trials. Telemedicine and e-Health 2014;20(12):1103
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  48. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
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  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
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  50. Hendrie GA, Baird DL, 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
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  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
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  52. Scarpa MP, Prilletensky I, McMahon A, Myers ND, Prilleltensky O, Lee S, Pfeiffer KA, Bateman AG, Brincks AM. 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
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  53. Mooney A, Tsotsoros CE, Earl JK, Hershey DA, Mooney CH. Enhancing Planning Behavior during Retirement: Effects of a Time Perspective Based Training Intervention. Social Sciences 2021;10(8):306
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  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
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  55. Abqari U, van 't Noordende AT, Richardus JH, Isfandiari MA, Korfage IJ. 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
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  56. Berry MP, Chwyl C, Metzler AL, Sun JH, Dart H, Forman EM. 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
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  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
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  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
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  59. Buller D, Walkosz B, Henry K, Woodall WG, 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
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  60. Buller DB, Pagoto S, Henry KL, Baker K, Walkosz BJ, 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
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  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
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  62. Loh YL, Yaw QP, 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
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  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 SL. 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
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  64. Jensen MT, Nielsen SS, Jessen-Winge C, Madsen CMT, Thilsing T, Larrabee Sønderlund A, Christensen JR. The effectiveness of social-support-based weight-loss interventions—a systematic review and meta-analysis. International Journal of Obesity 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2156):

  1. Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 2:13
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  2. . Temporal Modelling of Customer Behaviour. 2020. Chapter 6:75
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  3. . Advances in Information and Communication Networks. 2019. Chapter 8:91
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  4. . Participatory Health Through Social Media. 2016. :83
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  5. Sillence E, Briggs P, Harris PR. Web-Based Behavioral Therapies for Mental Disorders. 2018. chapter 9:241
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  6. Nepal S, Paris C, Pour PA, Freyne J, Bista SK. User Modeling, Adaptation, and Personalization. 2013. Chapter 2:14
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