Published on in Vol 15, No 11 (2013): November

The Role of Social Media in Online Weight Management: Systematic Review

The Role of Social Media in Online Weight Management: Systematic Review

The Role of Social Media in Online Weight Management: Systematic Review

Journals

  1. Dahl A, Hales S, Turner-McGrievy G. Integrating social media into weight loss interventions. Current Opinion in Psychology 2016;9:11 View
  2. 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
  3. Willis E, Szabo-Reed A, Ptomey L, Steger F, Honas J, Washburn R, Donnelly J. Do weight management interventions delivered by online social networks effectively improve body weight, body composition, and chronic disease risk factors? A systematic review. Journal of Telemedicine and Telecare 2017;23(2):263 View
  4. 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
  5. Zhang Y, Cao B, Wang Y, Peng T, Wang X. When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018. Journal of Medical Internet Research 2020;22(8):e17582 View
  6. . Manuscripts Reviewed for the 2014 Yearbook. Diabetes Technology & Therapeutics 2015;17(S1):S-134 View
  7. Hales S, Turner-McGrievy G, Fahim A, Freix A, Wilcox S, Davis R, Huhns M, Valafar H. A Mixed-Methods Approach to the Development, Refinement, and Pilot Testing of Social Networks for Improving Healthy Behaviors. JMIR Human Factors 2016;3(1):e8 View
  8. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  9. Sauder K, Ritchie N, Crowe B, Cox E, Hudson M, Wadhwa S. Participation and weight loss in online National Diabetes Prevention Programs: a comparison of age and gender subgroups. Translational Behavioral Medicine 2021;11(2):342 View
  10. Reynolds M, Driver S, Bennett M. The social network – using social media to support individuals with traumatic brain injury participating in a pilot study weight-loss program. Brain Injury 2018;32(12):1450 View
  11. Hales S, Turner-McGrievy G, Wilcox S, Fahim A, Davis R, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81 View
  12. Watts A, Lovato C, Barr S, Hanning R, Mâsse L. A qualitative study exploring how school and community environments shape the food choices of adolescents with overweight/obesity. Appetite 2015;95:360 View
  13. Pagoto S, Tulu B, Agu E, Waring M, Oleski J, Jake-Schoffman D. Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(6):e145 View
  14. Hazara A, Bhandari S. Barriers to patient participation in a self-management and education website Renal PatientView: A questionnaire-based study of inactive users. International Journal of Medical Informatics 2016;87:10 View
  15. 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
  16. 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
  17. Cao B, Liu C, Durvasula M, Tang W, Pan S, Saffer A, Wei C, Tucker J. Social Media Engagement and HIV Testing Among Men Who Have Sex With Men in China: A Nationwide Cross-Sectional Survey. Journal of Medical Internet Research 2017;19(7):e251 View
  18. McMahon N, Visram S, Connell L. Mechanisms of change of a novel weight loss programme provided by a third sector organisation: a qualitative interview study. BMC Public Health 2016;16(1) View
  19. Deccache C, Hamon T, Morsa M, De Andrade V, Albano M, Gagnayre R. Helping patients to learn: characteristics and types of users and uses of independent online forums on health problems and chronic conditions. Education Thérapeutique du Patient - Therapeutic Patient Education 2019;11(1):10208 View
  20. Manganello J, Gerstner G, Pergolino K, Graham Y, Strogatz D. Understanding Digital Technology Access and Use Among New York State Residents to Enhance Dissemination of Health Information. JMIR Public Health and Surveillance 2016;2(1):e9 View
  21. Oldenburg B, Taylor C, O'Neil A, Cocker F, Cameron L. Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations. Annual Review of Public Health 2015;36(1):483 View
  22. Ackermann R, Sandy L, Beauregard T, Coblitz M, Norton K, Vojta D. A randomized comparative effectiveness trial of using cable television to deliver diabetes prevention programming. Obesity 2014;22(7):1601 View
  23. Mete R, Curlewis J, Shield A, Murray K, Bacon R, Kellett J. Reframing healthy food choices: a content analysis of Australian healthy eating blogs. BMC Public Health 2019;19(1) View
  24. Silfee V, Lopez-Cepero A, Lemon S, Estabrook B, Nguyen O, Wang M, Rosal M. Adapting a Behavioral Weight Loss Intervention for Delivery via Facebook: A Pilot Series Among Low-Income Postpartum Women. JMIR Formative Research 2018;2(2):e18 View
  25. Hazara A, Durrans K, Bhandari S. The role of patient portals in enhancing self-care in patients with renal conditions. Clinical Kidney Journal 2020;13(1):1 View
  26. Levine D, Savarimuthu S, Squires A, Nicholson J, Jay M. Technology-Assisted Weight Loss Interventions in Primary Care: A Systematic Review. Journal of General Internal Medicine 2015;30(1):107 View
  27. Shepherd A. Improving treatments for obesity: The concept of self-management. Nurse Prescribing 2014;12(6):302 View
  28. Pagoto S, Waring M, Schneider K, Oleski J, Olendzki E, Hayes R, Appelhans B, Whited M, Busch A, Lemon S. Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series. JMIR Research Protocols 2015;4(4):e123 View
  29. Silfee V, Lopez-Cepero A, Lemon S, Estabrook B, Nguyen O, Rosal M. Recruiting low-income postpartum women into two weight loss interventions: in-person versus Facebook delivery. Translational Behavioral Medicine 2019;9(1):129 View
  30. Crilly P, Kayyali R. A Systematic Review of Randomized Controlled Trials of Telehealth and Digital Technology Use by Community Pharmacists to Improve Public Health. Pharmacy 2020;8(3):137 View
  31. 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
  32. Wang Y, Willis E. Supporting self-efficacy through interactive discussion in online communities of weight loss. Journal of Health Psychology 2018;23(10):1309 View
  33. Su Y, Xiao X, Shu W. The Effect of Message Cues on Stigmatization and Support: An Examination of Obesity-Related Conversations on Weibo. Online Journal of Communication and Media Technologies 2020;10(2) View
  34. Merchant G, Weibel N, Pina L, Griswold W, Fowler J, Ayala G, Gallo L, Hollan J, Patrick K. Face-to-Face and Online Networks: College Students’ Experiences in a Weight-Loss Trial. Journal of Health Communication 2017;22(1):75 View
  35. Hales S, Davidson C, Turner-McGrievy G. Varying social media post types differentially impacts engagement in a behavioral weight loss intervention. Translational Behavioral Medicine 2014;4(4):355 View
  36. 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
  37. Marshall E, Moon M, Mirchandani A, Smith D, Nichols L, Zhao X, Vydiswaran V, Chang T. “Baby Wants Tacos”: Analysis of Health-Related Facebook Posts from Young Pregnant Women. Maternal and Child Health Journal 2019;23(10):1400 View
  38. Zachary W, Michlig G, Kaplan A, Nguyen N, Quinn C, Surkan P. Participatory Design of a Social Networking App to Support Type II Diabetes Self-Management in Low-Income Minority Communities. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2017;6(1):37 View
  39. Moin T, Damschroder L, AuYoung M, Maciejewski M, Havens K, Ertl K, Vasti E, Weinreb J, Steinle N, Billington C, Hughes M, Makki F, Youles B, Holleman R, Kim H, Kinsinger L, Richardson C. Results From a Trial of an Online Diabetes Prevention Program Intervention. American Journal of Preventive Medicine 2018;55(5):583 View
  40. Doumit R, Abi Kharma J, Sanchez-Ruiz M, Zeeni N. Predictors of Disordered Eating in Young Males. Community Mental Health Journal 2018;54(2):236 View
  41. Waring M, Schneider K, Appelhans B, Simas T, Xiao R, Whited M, Busch A, Evans M, Pagoto S. Interest in a Twitter-delivered weight loss program among women of childbearing age. Translational Behavioral Medicine 2016;6(2):277 View
  42. Valle C, Tate D. Engagement of young adult cancer survivors within a Facebook-based physical activity intervention. Translational Behavioral Medicine 2017;7(4):667 View
  43. Ju C, Zhang S. Influencing Factors of Continuous Use of Web-Based Diagnosis and Treatment by Patients With Diabetes: Model Development and Data Analysis. Journal of Medical Internet Research 2020;22(9):e18737 View
  44. Balatsoukas P, Kennedy C, Buchan I, Powell J, Ainsworth J. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. Journal of Medical Internet Research 2015;17(6):e141 View
  45. Driver S, Juengst S, Reynolds M, McShan E, Kew C, Vega M, Bell K, Dubiel R. Healthy lifestyle after traumatic brain injury: a brief narrative. Brain Injury 2019;33(10):1299 View
  46. 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
  47. Drewnowski A, Caballero B, Das J, French J, Prentice A, Fries L, van Koperen T, Klassen-Wigger P, Rolls B. Novel public–private partnerships to address the double burden of malnutrition. Nutrition Reviews 2018;76(11):805 View
  48. Waring M, Jake-Schoffman D, Holovatska M, Mejia C, Williams J, Pagoto S. Social Media and Obesity in Adults: a Review of Recent Research and Future Directions. Current Diabetes Reports 2018;18(6) View
  49. Belfiore P, Sarnacchiaro P, Sorrentini A, Ricchiuti R. New social media for health promotion management: a statistical analysis. Soft Computing 2020;24(18):13853 View
  50. Li A, Ngai E, Chai J. Friend recommendation for healthy weight in social networks. Industrial Management & Data Systems 2015;115(7):1251 View
  51. Patel R, Chang T, Greysen S, Chopra V. Social Media Use in Chronic Disease: A Systematic Review and Novel Taxonomy. The American Journal of Medicine 2015;128(12):1335 View
  52. Nour M, Chen J, Allman-Farinelli M. Young Adults’ Engagement With a Self-Monitoring App for Vegetable Intake and the Impact of Social Media and Gamification: Feasibility Study. JMIR Formative Research 2019;3(2):e13324 View
  53. Santarossa S, Kane D, Senn C, Woodruff S. Exploring the Role of In-Person Components for Online Health Behavior Change Interventions: Can a Digital Person-to-Person Component Suffice?. Journal of Medical Internet Research 2018;20(4):e144 View
  54. Zhou L, Zhang D, Yang C, Wang Y. Harnessing social media for health information management. Electronic Commerce Research and Applications 2018;27:139 View
  55. Ibarra J, Agas J, Lee M, Pan J, Buttenheim A. Comparison of Online Survey Recruitment Platforms for Hard-to-Reach Pregnant Smoking Populations: Feasibility Study. JMIR Research Protocols 2018;7(4):e101 View
  56. Wu D, Tang W, Lu H, Zhang T, Cao B, Ong J, Lee A, Liu C, Huang W, Fu R, Li K, Pan S, Zhang Y, Fu H, Wei C, Tucker J. Leading by Example: Web-Based Sexual Health Influencers Among Men Who Have Sex With Men Have Higher HIV and Syphilis Testing Rates in China. Journal of Medical Internet Research 2019;21(1):e10171 View
  57. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
  58. O’Neil A, Cocker F, Rarau P, Baptista S, Cassimatis M, Barr Taylor C, Lau A, Kanuri N, Oldenburg B. Using digital interventions to improve the cardiometabolic health of populations: a meta-review of reporting quality. Journal of the American Medical Informatics Association 2017;24(4):867 View
  59. Sorgente A, Pietrabissa G, Manzoni G, Re F, Simpson S, Perona S, Rossi A, Cattivelli R, Innamorati M, Jackson J, Castelnuovo G. Web-Based Interventions for Weight Loss or Weight Loss Maintenance in Overweight and Obese People: A Systematic Review of Systematic Reviews. Journal of Medical Internet Research 2017;19(6):e229 View
  60. Naslund J, Aschbrenner K, Marsch L, Bartels S. Feasibility and acceptability of Facebook for health promotion among people with serious mental illness. DIGITAL HEALTH 2016;2:205520761665482 View
  61. Chen Y, Persson P, Polyakova M. The Roots of Health Inequality and The Value of Intra-Family Expertise. SSRN Electronic Journal 2019 View
  62. Kullgren J, Harkins K, Bellamy S, Gonzales A, Tao Y, Zhu J, Volpp K, Asch D, Heisler M, Karlawish J. A Mixed-Methods Randomized Controlled Trial of Financial Incentives and Peer Networks to Promote Walking Among Older Adults. Health Education & Behavior 2014;41(1_suppl):43S View
  63. Hales S, Turner-McGrievy G, Wilcox S, Davis R, Fahim A, Huhns M, Valafar H. Trading pounds for points: Engagement and weight loss in a mobile health intervention. DIGITAL HEALTH 2017;3:205520761770225 View
  64. Cavallo D, Martinez R, Webb Hooper M, Flocke S. Feasibility of a social media-based weight loss intervention designed for low-SES adults. Translational Behavioral Medicine 2021;11(4):981 View
  65. Lee J, Bae S, Park D, Kim Y, Park J. The effectiveness of a monetary reimbursement model for weight reduction via a smartphone application: a preliminary retrospective study. Scientific Reports 2020;10(1) View
  66. Afonso L, Rodrigues R, Reis E, Miller K, Castro J, Parente N, Teixeira C, Fraga A, Torres S. Fammeal: A Gamified Mobile Application for Parents and Children to Help Healthcare Centers Treat Childhood Obesity. IEEE Transactions on Games 2020;12(4):351 View
  67. Chang L, Chattopadhyay K, Li J, Xu M, Li L. Interplay of Support, Comparison, and Surveillance in Social Media Weight Management Interventions: Qualitative Study. JMIR mHealth and uHealth 2021;9(3):e19239 View
  68. Serenko A, Turel O, Bohonis H. The impact of social networking sites use on health-related outcomes among UK adolescents. Computers in Human Behavior Reports 2021;3:100058 View
  69. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews. Frontiers in Public Health 2021;9 View
  70. Hutchesson M, Gough C, Müller A, Short C, Whatnall M, Ahmed M, Pearson N, Yin Z, Ashton L, Maher C, Staiano A, Mauch C, DeSmet A, Vandelanotte C. eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews. Obesity Reviews 2021 View

Books/Policy Documents

  1. Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. View
  2. Guo Y, Bian J. Social Web and Health Research. View
  3. Bender J. Novel Applications of Virtual Communities in Healthcare Settings. View
  4. Chomutare T. Pervasive Computing Paradigms for Mental Health. View
  5. Wallwork A, Tremblay L. Psychiatric Care in Severe Obesity. View
  6. Laranjo L. Participatory Health Through Social Media. View
  7. Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. View