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

Peer-to-Peer Support and Online Communities (636) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Wearables and MHealth Reviews (273) Behavior Change (712)

Published on in Vol 20, No 2 (2018): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8342, first published .
Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Authors of this article:

Sheik Mohammad Roushdat Ally Elaheebocus1, 2 Author Orcid Image ;   Mark Weal1 Author Orcid Image ;   Leanne Morrison3 Author Orcid Image ;   Lucy Yardley3 Author Orcid Image
Article Authors Cited by (57) Tweetations (32) Metrics

Journals

  1. Ramo D, Meacham M, Kaur M, Corpuz E, Prochaska J, Satre D. Development of a social media-based intervention targeting tobacco use and heavy episodic drinking in young adults. Addiction Science & Clinical Practice 2019;14(1) View
  2. Allman‐Farinelli M, Nour M. Exploring the role of social support and social media for lifestyle interventions to prevent weight gain with young adults: Focus group findings. Journal of Human Nutrition and Dietetics 2021;34(1):178 View
  3. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  4. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  5. Moreno M, D'Angelo J. Social Media Intervention Design: Applying an Affordances Framework. Journal of Medical Internet Research 2019;21(3):e11014 View
  6. Park E, Chang Y. Using Digital Media to Empower Adolescents in Smoking Prevention: Mixed Methods Study. JMIR Pediatrics and Parenting 2020;3(1):e13031 View
  7. Bradshaw E, Sahdra B, Calvo R, Mrvaljevich A, Ryan R. Users’ Intrinsic Goals Linked to Alcohol Dependence Risk Level and Engagement With a Health Promotion Website (Hello Sunday Morning): Observational Study. JMIR Mental Health 2018;5(4):e10022 View
  8. Simeon R, Dewidar O, Trawin J, Duench S, Manson H, Pardo Pardo J, Petkovic J, Hatcher Roberts J, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review. Journal of Medical Internet Research 2020;22(6):e16002 View
  9. Delafrooz N, Rahmati Y, Abdi M, Wright L. The influence of electronic word of mouth on Instagram users: An emphasis on consumer socialization framework. Cogent Business & Management 2019;6(1) View
  10. Hawks J, Madanat H, Walsh-Buhi E, Hartman S, Nara A, Strong D, Anderson C. Narrative review of social media as a research tool for diet and weight loss. Computers in Human Behavior 2020;111:106426 View
  11. Sporrel K, Nibbeling N, Wang S, Ettema D, Simons M. Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies. JMIR mHealth and uHealth 2021;9(1):e16282 View
  12. Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79 View
  13. Dumas A, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Recruitment and retention of mothers of preschoolers and school-aged children in a social media-delivered healthy eating intervention: lessons learned from a randomized controlled trial. Trials 2020;21(1) View
  14. Sporrel K, De Boer R, Wang S, Nibbeling N, Simons M, Deutekom M, Ettema D, Castro P, Dourado V, Kröse B. The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining. Frontiers in Public Health 2021;8 View
  15. Noel J, Lakhan H. Changing Alcohol Cravings Using Social Media Comments. Substance Use & Misuse 2021;56(3):377 View
  16. Robinson A, Husband A, Slight R, Slight S. Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review. BJS Open 2021;5(2) View
  17. Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller S, Reininghaus U. Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review. Journal of Medical Internet Research 2021;23(3):e23365 View
  18. Reuter K, Wilson M, Moran M, Le N, Angyan P, Majmundar A, Kaiser E, Unger J. General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis. JMIR Public Health and Surveillance 2021;7(2):e24429 View
  19. Gold N, Yau A, Rigby B, Dyke C, Remfry E, Chadborn T. Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews. Journal of Medical Internet Research 2021;23(5):e19688 View
  20. Gong J, Zanuddin H, Hou W, Xu J. Media attention, dependency, self-efficacy, and prosocial behaviours during the outbreak of COVID-19: A constructive journalism perspective. Global Media and China 2022;7(1):81 View
  21. Yoon S, Wee S, Lee V, Lin J, Thumboo J. Patterns of use and perceived value of social media for population health among population health stakeholders: a cross-sectional web-based survey. BMC Public Health 2021;21(1) View
  22. Yin Y, Yu Y. SUGGESTIONS FOR BEHAVIOR-INTERVENTION DESIGN PRACTITIONERS: FROM BEHAVIOR CHANGE MOTIVATIONS FOR CHINESE AGED 18 TO 25. Proceedings of the Design Society 2021;1:2781 View
  23. Biedermann D, Schwarz P, Yau J, Drachsler H. The Effect of Social Support Features via Buddies in App-Based Habit Building. International Journal of Mobile and Blended Learning 2023;15(2):1 View
  24. Hemuka N, Morgan A, Bellingham-Young D, Stonard K. Female genital mutilation: Nigerian Igbo men’s low acceptance of the practice. Journal of Public Health 2023;31(8):1237 View
  25. Zhao J, Harvey G, Vandyk A, Gifford W. Social Media for ImpLementing Evidence (SMILE): Conceptual Framework. JMIR Formative Research 2022;6(3):e29891 View
  26. Siew L, Teo N, Ang W, Lau Y. Social media–based interventions for patients with cancer: a meta-analysis and meta-regression of randomised controlled trials. Journal of Cancer Survivorship 2023;17(6):1606 View
  27. Batiuk T, Vysotska V. Information Support for Personalities Socialization Processes Based on Common Interests. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 2022;11:56 View
  28. Ichimiya M, Gerard R, Mills S, Brodsky A, Cantrell J, Evans W. The Measurement of Dose and Response for Smoking Behavior Change Interventions in the Digital Age: Systematic Review. Journal of Medical Internet Research 2022;24(8):e38470 View
  29. Seiler J, Libby T, Jackson E, Lingappa J, Evans W. Social Media–Based Interventions for Health Behavior Change in Low- and Middle-Income Countries: Systematic Review. Journal of Medical Internet Research 2022;24(4):e31889 View
  30. Evans E, Redmond E. Assessing Existing Food Safety Resources with United Kingdom–Based Chemotherapy Patients and Family Caregivers for Future Learning Purposes. Journal of Food Protection 2022;85(2):287 View
  31. Arigo D, Gray R, Dallal D, Villareale J, Zhu J. Selection of and Response to Physical Activity–Based Social Comparisons in a Digital Environment: Series of Daily Assessment Studies. JMIR Human Factors 2023;10:e41239 View
  32. Lee J, Turner K, Xie Z, Kadhim B, Hong Y. Association Between Health Information‒Seeking Behavior on YouTube and Physical Activity Among U.S. Adults: Results From Health Information Trends Survey 2020. AJPM Focus 2022;1(2):100035 View
  33. Sporrel K, Wang S, Ettema D, Nibbeling N, Krose B, Deutekom M, de Boer R, Simons M. Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study. JMIR Formative Research 2022;6(8):e35268 View
  34. Arigo D, Torous J. Development of a Mobile Assessment Tool for Understanding Social Comparison Processes Among Individuals With Schizophrenia: Two-Phase Survey Study. JMIR Formative Research 2022;6(5):e36541 View
  35. 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
  36. Cunha V, Montenegro S, Padrão P. Dietary interventions using Facebook: a systematic review. Porto Biomedical Journal 2023;8(1):e185 View
  37. Arigo D, Brown M, Shank F, Young C. Ecological Momentary Assessment of Associations Between Social Interactions and Physical Activity Outcomes Among Women in Midlife With CVD Risk Conditions. Annals of Behavioral Medicine 2023;57(1):50 View
  38. 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
  39. Lohiniva A, Pensola A, Hyökki S, Sivelä J, Härmä V, Tammi T. Identifying factors influencing COVID-19 vaccine uptake in Finland – a qualitative study using social media data. Frontiers in Public Health 2023;11 View
  40. Batiuk T, Vysotska V, Shevchenko M. Intelligent system for user groups socialization with similar interests. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 2023;13:93 View
  41. Watkins M, Mallion J, Frings D, Wills J, Sykes S, Whittaker A. Public health messages during a global emergency through an online community: a discourse and sentiment analysis. Frontiers in Digital Health 2023;5 View
  42. Hawkes R, Miles L, Ainsworth B, Ross J, Meacock R, French D. Engagement with a nationally-implemented digital behaviour change intervention: Usage patterns over the 9-month duration of the National Health Service Digital Diabetes Prevention Programme. Internet Interventions 2023;33:100647 View
  43. Gajjar A, Le A, Jacobs R, Mooney J, Lavadi R, Kumar R, White M, Elsayed G, Agarwal N. Patient perception of spinal cord injury through social media: An analysis of 703 Instagram and 117 Twitter posts. Journal of Craniovertebral Junction and Spine 2023;14(3):288 View
  44. Nabhan A, Kabra R, Ashraf A, Elghamry F, Kiarie J, Atwa E, Bahnasy S, Elgendi M, Elshabrawy A, Eltayeb S, Galal S, Kodsy M, Makram N, Mostafa N, Sakna N, Salama M, Snosi M, Wagih N, Zenhom A. Implementation strategies, facilitators, and barriers to scaling up and sustaining demand generation in family planning, a mixed-methods systematic review. BMC Women's Health 2023;23(1) View
  45. Silva J, Hipólito N, Machado P, Flora S, Cruz J. Technological features of smartphone apps for physical activity promotion in patients with COPD: A systematic review. Pulmonology 2023 View
  46. Cheung W, Miles L, Hawkes R, French D. Experiences of online group support for engaging and supporting participants in the National Health Service Digital Diabetes Prevention Programme: A qualitative interview study. Journal of Health Services Research & Policy 2024;29(2):100 View
  47. Zimmermann E, Tomczyk S. Fostering Digital Life Skills Through Social Media With Adolescents in 6 German States: Protocol for an Accessibility Study According to the RE-AIM Framework. JMIR Research Protocols 2024;13:e51085 View
  48. Noman M, Gurgun S, Phalp K, Ali R. Designing social media to foster user engagement in challenging misinformation: a cross-cultural comparison between the UK and Arab countries. Humanities and Social Sciences Communications 2024;11(1) View
  49. Yip Y, Makmor-Bakry M, Chong W. Elements influencing user engagement in social media posts on lifestyle risk factors: a systematic review (Preprint). Journal of Medical Internet Research 2024 View
  50. Kwok I, Freedman M, Kamsickas L, Lattie E, Yang D, Moskowitz J. The SoCAP (Social Communication, Affiliation, and Presence) Taxonomy of Social Features: Scoping Review of Commercially Available eHealth Apps. Journal of Medical Internet Research 2024;26:e49714 View
  51. John N. A Classification of Features for Interpersonal Disconnectivity in Digital Media: Block, Unfriend, Unfollow, Mute, Withhold, and Eject. Media and Communication 2024;12 View

Books/Policy Documents

  1. Farhat-ul-Ain , Popovitš O, Tomberg V. Human-Computer Interaction. User Experience and Behavior. View
  2. Gurgun S, Arden-Close E, McAlaney J, Phalp K, Ali R. Persuasive Technology. View