Published on in Vol 14 , No 1 (2012) :Jan-Feb

Social Influence as a Driver of Engagement in a Web-Based Health Intervention

Social Influence as a Driver of Engagement in a Web-Based Health Intervention

Social Influence as a Driver of Engagement in a Web-Based Health Intervention

Authors of this article:

Josée Poirier 1 ;   Nathan K Cobb 2, 3, 4


  1. Petersen J, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687 View
  2. Petersen J, Kemps E, Lewis L, Prichard I. Psychological mechanisms underlying the relationship between commercial physical activity app use and physical activity engagement. Psychology of Sport and Exercise 2020;51:101719 View
  3. Myneni S, Lewis B, Singh T, Paiva K, Kim S, Cebula A, Villanueva G, Wang J. Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods. JMIR Medical Informatics 2020;8(6):e18441 View
  4. Kazdin A, Rabbitt S. Novel Models for Delivering Mental Health Services and Reducing the Burdens of Mental Illness. Clinical Psychological Science 2013;1(2):170 View
  5. van Agteren J, Lawn S, Bonevski B, Smith B. The development of an evidence-based smoking cessation smartphone app. Translational Behavioral Medicine 2018;8(2):243 View
  6. Hazzam J, Lahrech A. Health Care Professionals’ Social Media Behavior and the Underlying Factors of Social Media Adoption and Use: Quantitative Study. Journal of Medical Internet Research 2018;20(11):e12035 View
  7. Cobb N, Poirier J. Implementation of an online pragmatic randomized controlled trial: a methodological case study. Translational Behavioral Medicine 2013;3(3):295 View
  8. Agricola E, Pandolfi E, Gonfiantini M, Gesualdo F, Romano M, Carloni E, Mastroiacovo P, Tozzi A. A cohort study of a tailored web intervention for preconception care. BMC Medical Informatics and Decision Making 2014;14(1) View
  9. Lawn S, van Agteren J, Zabeen S, Bertossa S, Barton C, Stewart J. Adapting, Pilot Testing and Evaluating the App to Support Smoking Cessation for Smokers with Severe Mental Illness: A Study Protocol. International Journal of Environmental Research and Public Health 2018;15(2):254 View
  10. Turner-McGrievy G, Dunn C, Wilcox S, Boutté A, Hutto B, Hoover A, Muth E. Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions. Journal of the Academy of Nutrition and Dietetics 2019;119(9):1516 View
  11. Valente T, Pitts S. An Appraisal of Social Network Theory and Analysis as Applied to Public Health: Challenges and Opportunities. Annual Review of Public Health 2017;38(1):103 View
  12. Ianakieva I, Fergus K, Ahmad S, Pereira A, Stephen J, McLeod D, Carter W, Panchaud J. Varying Levels and Types of Engagement in an Online Relationship Enhancement Program for Couples Following Breast Cancer. Journal of Couple & Relationship Therapy 2019;18(1):22 View
  13. Krupnikov Y, Levine A. Political Issues, Evidence, and Citizen Engagement: The Case of Unequal Access to Affordable Health Care. The Journal of Politics 2019;81(2):385 View
  14. Saez L, Langlois J, Legrand K, Quinet M, Lecomte E, Omorou A, Briançon S. Reach and Acceptability of a Mobile Reminder Strategy and Facebook Group Intervention for Weight Management in Less Advantaged Adolescents: Insights From the PRALIMAP-INÈS Trial. JMIR mHealth and uHealth 2018;6(5):e110 View
  15. Villaume K, Tafvelin S, Hasson D. Health-relevant personality traits in relation to adherence to a web-based occupational health promotion and stress management intervention. International Journal of Workplace Health Management 2018;11(3):143 View
  16. Pirolli P, Youngblood G, Du H, Konrad A, Nelson L, Springer A. Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Human–Computer Interaction 2021;36(2):73 View
  17. Cavallo D, Tate D, Ward D, DeVellis R, Thayer L, Ammerman A. Social support for physical activity—role of Facebook with and without structured intervention. Translational Behavioral Medicine 2014;4(4):346 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. Parikh S, Huniewicz P. E-health. Current Opinion in Psychiatry 2015;28(1):13 View
  20. Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. Adherence to a Web-Based Physical Activity Intervention for Patients With Knee and/or Hip Osteoarthritis: A Mixed Method Study. Journal of Medical Internet Research 2013;15(10):e223 View
  21. Kaipainen K, Payne C, Wansink B. Mindless Eating Challenge: Retention, Weight Outcomes, and Barriers for Changes in a Public Web-Based Healthy Eating and Weight Loss Program. Journal of Medical Internet Research 2012;14(6):e168 View
  22. Kovacs G, Wu Z, Bernstein M. Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1 View
  23. Leitan N, Michalak E, Berk L, Berk M, Murray G. Optimizing delivery of recovery-oriented online self-management strategies for bipolar disorder: a review. Bipolar Disorders 2015;17(2):115 View
  24. Ianakieva I, Fergus K, Ahmad S, Pos A, Pereira A. A Model of Engagement Promotion in a Professionally Facilitated Online Intervention for Couples Affected by Breast Cancer. Journal of Marital and Family Therapy 2016;42(4):701 View
  25. Storm V, Dörenkämper J, Reinwand D, Wienert J, De Vries H, Lippke S. Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(4):e78 View
  26. 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
  27. Graham A, Papandonatos G, Cha S, Erar B, Amato M, Cobb N, Niaura R, Abrams D. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial. Nicotine & Tobacco Research 2016:ntw282 View
  28. Choi M, Kim S, Lee S, Kwon B, Yi J, Choo J, Huh J. Toward Predicting Social Support Needs in Online Health Social Networks. Journal of Medical Internet Research 2017;19(8):e272 View
  29. Ongtengco N, Thiam H, Collins Z, De Jesus E, Peterson C, Wang T, Hendrix E, Ndiaye Y, Gueye B, Gassama O, Kasse A, Faye A, Smith J, Fitzgibbon M, Dykens J, Withers M. Role of gender in perspectives of discrimination, stigma, and attitudes relative to cervical cancer in rural Sénégal. PLOS ONE 2020;15(4):e0232291 View
  30. Badr H, Carmack C, Diefenbach M. Psychosocial Interventions for Patients and Caregivers in the Age of New Communication Technologies: Opportunities and Challenges in Cancer Care. Journal of Health Communication 2015;20(3):328 View
  31. Yang Q. Understanding Computer-Mediated Support Groups: A Revisit Using a Meta-Analytic Approach. Health Communication 2020;35(2):209 View
  32. Kerr D, Ornelas I, Lilly M, Calhoun R, Meischke H. Participant Engagement in and Perspectives on a Web-Based Mindfulness Intervention for 9-1-1 Telecommunicators: Multimethod Study. Journal of Medical Internet Research 2019;21(6):e13449 View
  33. 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
  34. Graham A, Papandonatos G, Cha S, Erar B, Amato M. Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial. Annals of Behavioral Medicine 2018;52(4):331 View
  35. Graham A, Cha S, Papandonatos G, Cobb N, Mushro A, Fang Y, Niaura R, Abrams D. Improving adherence to web-based cessation programs: a randomized controlled trial study protocol. Trials 2013;14(1):48 View
  36. 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
  37. Chang S, Lin Y, Lin C, Chang H, Chong P. Promoting Positive Psychology Using Social Networking Sites: A Study of New College Entrants on Facebook. International Journal of Environmental Research and Public Health 2014;11(5):4652 View
  38. Pechmann C, Pan L, Delucchi K, Lakon C, Prochaska J. Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages. Journal of Medical Internet Research 2015;17(2):e50 View
  39. Lau A, Sintchenko V, Crimmins J, Magrabi F, Gallego B, Coiera E. Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial. Journal of the American Medical Informatics Association 2012;19(5):719 View
  40. Petersen J, Kemps E, Lewis L, Prichard I. Associations Between Commercial App Use and Physical Activity: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(6):e17152 View
  41. Li T, Chau M, Wong P, Lai E, Yip P. Evaluation of a Web-Based Social Network Electronic Game in Enhancing Mental Health Literacy for Young People. Journal of Medical Internet Research 2013;15(5):e80 View
  42. Graham A, Jacobs M, Cohn A, Cha S, Abroms L, Papandonatos G, Whittaker R. Optimising text messaging to improve adherence to web-based smoking cessation treatment: a randomised control trial protocol. BMJ Open 2016;6(3):e010687 View
  43. Cobb N, Poirier J. Effectiveness of a Multimodal Online Well-Being Intervention. American Journal of Preventive Medicine 2014;46(1):41 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. Chou W, Prestin A, Kunath S. Obesity in social media: a mixed methods analysis. Translational Behavioral Medicine 2014;4(3):314 View
  46. Richardson A, Graham A, Cobb N, Xiao H, Mushro A, Abrams D, Vallone D. Engagement Promotes Abstinence in a Web-based Cessation Intervention: Cohort Study. Journal of Medical Internet Research 2013;15(1):e14 View
  47. 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
  48. Cantrell J, Ilakkuvan V, Graham A, Richardson A, Xiao H, Mermelstein R, Curry S, Sporer A, Vallone D. Young Adult Utilization of a Smoking Cessation Website: An Observational Study Comparing Young and Older Adult Patterns of Use. JMIR Research Protocols 2016;5(3):e142 View
  49. Lau A, Proudfoot J, Andrews A, Liaw S, Crimmins J, Arguel A, Coiera E. Which Bundles of Features in a Web-Based Personally Controlled Health Management System Are Associated With Consumer Help-Seeking Behaviors for Physical and Emotional Well-Being?. Journal of Medical Internet Research 2013;15(5):e79 View
  50. 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
  51. Duh H, Dabula N. Millennials’ socio-psychology and blood donation intention developed from social media communications: A survey of university students. Telematics and Informatics 2021;58:101534 View
  52. Keahey R, White N, Duchesne A, Pelletier C. A theory-grounded text message–based intervention to reduce sedentary behaviour in university students. Health Education Journal 2021;80(6):672 View
  53. 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
  54. Aksoy N, Kabadayi E, Alan A. An unintended consequence of Covid-19: Healthy nutrition. Appetite 2021;166:105430 View
  55. 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
  56. Goodyear V, Boardley I, Chiou S, Fenton S, Makopoulou K, Stathi A, Wallis G, Veldhuijzen van Zanten J, Thompson J. Social media use informing behaviours related to physical activity, diet and quality of life during COVID-19: a mixed methods study. BMC Public Health 2021;21(1) View
  57. Shih C, Pudipeddi R, Uthayakumar A, Washington P. A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study. JMIRx Med 2021;2(4):e24972 View
  58. Lim J, Huy S, Chhay T, Khieu B, Hsu L, Tam C, Pascoe B. Understanding networks in rural Cambodian farming communities and how they influence antibiotic use: A mixed methods study. PLOS Global Public Health 2023;3(3):e0001569 View
  59. Dzandu M, Hanu C, Amegbe H. Gamification of mobile money payment for generating customer value in emerging economies: The social impact theory perspective. Technological Forecasting and Social Change 2022;185:122049 View
  60. Peterson C, Silva A, Goben A, Ongtengco N, Hu E, Khanna D, Nussbaum E, Jasenof I, Kim S, Dykens J. Stigma and cervical cancer prevention: A scoping review of the U.S. literature. Preventive Medicine 2021;153:106849 View
  61. Hollebeek L, Sprott D, Sigurdsson V, Clark M. Social influence and stakeholder engagement behavior conformity, compliance, and reactance. Psychology & Marketing 2021 View
  62. Peterson C, Dykens J, Weine S, Holt H, Fleurimont J, Hutten C, Wieser J, Abuisneineh F, Awadalla S, Ongtengco N, Gastala N, Jasenof I, Chan D. Assessing the interrelationship between stigma, social influence, and cervical cancer prevention in an urban underserved setting: An exploratory study. PLOS ONE 2022;17(12):e0278538 View

Books/Policy Documents

  1. Wiebe E, Sharek D. Why Engagement Matters. View
  2. Myneni S, Fujimoto K, Cohen T. Cognitive Informatics in Health and Biomedicine. View
  3. Sillence E, Little L, Fielden A. Behavior Change Research and Theory. View
  4. Graham A, Cobb C, Cobb N. Handbook of Health Decision Science. View
  5. Laranjo L. Participatory Health Through Social Media. View