Utilization of Smoking Cessation Informational, Interactive, and Online Community Resources as Predictors of Abstinence: Cohort Study

Utilization of Smoking Cessation Informational, Interactive, and Online Community Resources as Predictors of Abstinence: Cohort Study

Utilization of Smoking Cessation Informational, Interactive, and Online Community Resources as Predictors of Abstinence: Cohort Study

Journals

  1. Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
  2. de la Loge C, Dimova S, Mueller K, Phillips G, Durgin T, Wicks P, Borghs S. PatientsLikeMe® Online Epilepsy Community: Patient characteristics and predictors of poor health-related quality of life. Epilepsy & Behavior 2016;63:20 View
  3. Newman M, Szkodny L, Llera S, Przeworski A. A review of technology-assisted self-help and minimal contact therapies for drug and alcohol abuse and smoking addiction: Is human contact necessary for therapeutic efficacy?. Clinical Psychology Review 2011;31(1):178 View
  4. 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
  5. Amann J, Zanini C, Rubinelli S, van Rijnsoever F. What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. PLOS ONE 2016;11(6):e0156175 View
  6. Carron-Arthur B, Ali K, Cunningham J, Griffiths K. From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities. Journal of Medical Internet Research 2015;17(12):e271 View
  7. 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
  8. Graham A, Fang Y, Moreno J, Streiff S, Villegas J, Muñoz R, Tercyak K, Mandelblatt J, Vallone D. Online Advertising to Reach and Recruit Latino Smokers to an Internet Cessation Program: Impact and Costs. Journal of Medical Internet Research 2012;14(4):e116 View
  9. Pechmann C, Delucchi K, Lakon C, Prochaska J. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tobacco Control 2017;26(2):188 View
  10. Graham A, Papandonatos G, Cobb C, Cobb N, Niaura R, Abrams D, Tinkelman D. Internet and Telephone Treatment for Smoking Cessation: Mediators and Moderators of Short-Term Abstinence. Nicotine & Tobacco Research 2015;17(3):299 View
  11. Dalum P, Brandt C, Skov-Ettrup L, Tolstrup J, Kok G. The Systematic Development of an Internet-Based Smoking Cessation Intervention for Adults. Health Promotion Practice 2016;17(4):490 View
  12. 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
  13. Zhang M, Yang C. Using content and network analysis to understand the social support exchange patterns and user behaviors of an online smoking cessation intervention program. Journal of the Association for Information Science and Technology 2015;66(3):564 View
  14. Prochaska J, Benowitz N. The Past, Present, and Future of Nicotine Addiction Therapy. Annual Review of Medicine 2016;67(1):467 View
  15. Stearns M, Nambiar S, Nikolaev A, Semenov A, McIntosh S. Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics 2014;3(1) View
  16. 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
  17. Namkoong K, Nah S, Van Stee S, Record R. Social Media Campaign Effects: Moderating Role of Social Capital in an Anti-Smoking Campaign. Health Communication 2018;33(3):274 View
  18. Coley H, Sadasivam R, Williams J, Volkman J, Schoenberger Y, Kohler C, Sobko H, Ray M, Allison J, Ford D, Gilbert G, Houston T. Crowdsourced Peer- Versus Expert-Written Smoking-Cessation Messages. American Journal of Preventive Medicine 2013;45(5):543 View
  19. Brandt C, Dalum P, Thomsen T. “I miss the care even though I know it’s just a machine”: An explorative study of the relationship between an Internet-based smoking cessation intervention and its participants. Health Informatics Journal 2013;19(3):233 View
  20. Selby P, van Mierlo T, Voci S, Parent D, Cunningham J. Online Social and Professional Support for Smokers Trying to Quit: An Exploration of First Time Posts From 2562 Members. Journal of Medical Internet Research 2010;12(3):e34 View
  21. Ingersoll B, Shannon K, Berger N, Pickard K, Holtz B. Self-Directed Telehealth Parent-Mediated Intervention for Children With Autism Spectrum Disorder: Examination of the Potential Reach and Utilization in Community Settings. Journal of Medical Internet Research 2017;19(7):e248 View
  22. Richardson C, Buis L, Janney A, Goodrich D, Sen A, Hess M, Mehari K, Fortlage L, Resnick P, Zikmund-Fisher B, Strecher V, Piette J. An Online Community Improves Adherence in an Internet-Mediated Walking Program. Part 1: Results of a Randomized Controlled Trial. Journal of Medical Internet Research 2010;12(4):e71 View
  23. Graham A, Papandonatos G, Kang H, Moreno J, Abrams D. Development and Validation of the Online Social Support for Smokers Scale. Journal of Medical Internet Research 2011;13(3):e69 View
  24. Cobb N, Graham A, Byron M, Niaura R, Abrams D. Online Social Networks and Smoking Cessation: A Scientific Research Agenda. Journal of Medical Internet Research 2011;13(4):e119 View
  25. Bowen D, Hyams T, Goodman M, West K, Harris-Wai J, Yu J. Systematic Review of Quantitative Measures of Stakeholder Engagement. Clinical and Translational Science 2017;10(5):314 View
  26. Meeussen L, Put C, Meganck J, De Peuter S. The Gap Between Attitudes and Use in Prediction of Effect of an Online Smoking Cessation Program. Journal of Health Communication 2012;17(8):946 View
  27. 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
  28. Yu C, Bahniwal R, Laupacis A, Leung E, Orr M, Straus S. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514 View
  29. Cobb C, Niaura R, Donaldson E, Graham A. Quit Now? Quit Soon? Quit When You’re Ready? Insights About Target Quit Dates for Smoking Cessation From an Online Quit Date Tool. Journal of Medical Internet Research 2014;16(2):e55 View
  30. McClure J, Shortreed S, Bogart A, Derry H, Riggs K, St John J, Nair V, An L. The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial. Journal of Medical Internet Research 2013;15(3):e69 View
  31. Cohn A, Zhou Y, Cha S, Perreras L, Graham A. Treatment engagement mediates the links between symptoms of anxiety, depression, and alcohol use disorder with abstinence among smokers registered on an Internet cessation program. Journal of Substance Abuse Treatment 2019;98:59 View
  32. Zbikowski S, Jack L, McClure J, Deprey M, Javitz H, McAfee T, Catz S, Richards J, Bush T, Swan G. Utilization of Services in a Randomized Trial Testing Phone- and Web-Based Interventions for Smoking Cessation. Nicotine & Tobacco Research 2011;13(5):319 View
  33. Watson N, Heffner J, Mull K, McClure J, Bricker J. Comparing Treatment Acceptability and 12-Month Cessation Rates in Response to Web-Based Smoking Interventions Among Smokers Who Do and Do Not Screen Positive for Affective Disorders: Secondary Analysis. Journal of Medical Internet Research 2019;21(6):e13500 View
  34. Pechmann C, Calder D, Phillips C, Delucchi K, Prochaska J. The Use of Web-Based Support Groups Versus Usual Quit-Smoking Care for Men and Women Aged 21-59 Years: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(1):e16417 View
  35. Brandt C, Dalum P, Skov-Ettrup L, Tolstrup J. “After all – It doesn’t kill you to quit smoking”: An explorative analysis of the blog in a smoking cessation intervention. Scandinavian Journal of Public Health 2013;41(7):655 View
  36. Seitz C, Shiplo S, Filippini T, Kabir Z, Lennon J, Fowler D. The Reading Level of Government and Voluntary Health Organization Smoking Cessation Websites: A Descriptive Analysis. American Journal of Health Education 2017;48(6):392 View
  37. BOTELHO R, WASSUM K, BENZIAN H, SELBY P, CHAN S. Address the gaps in tobacco cessation training and services: Developing professional organisational alliances to create social movements. Drug and Alcohol Review 2009;28(5):558 View
  38. Gainsbury S, Blaszczynski A. Online self-guided interventions for the treatment of problem gambling. International Gambling Studies 2011;11(3):289 View
  39. Morrison C, Doherty G. Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data. Journal of Medical Internet Research 2014;16(11):e252 View
  40. Gill S, Contreras O, Muñoz R, Leykin Y. Participant retention in an automated online monthly depression rescreening program: Patterns and predictors. Internet Interventions 2014;1(1):20 View
  41. 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
  42. Rupert D, Gard Read J, Amoozegar J, Moultrie R, Taylor O, O’Donoghue A, Sullivan H. Peer-Generated Health Information: The Role of Online Communities in Patient and Caregiver Health Decisions. Journal of Health Communication 2016;21(11):1187 View
  43. Oppezzo M, Tremmel J, Desai M, Baiocchi M, Ramo D, Cullen M, Prochaska J. Twitter-Based Social Support Added to Fitbit Self-Monitoring for Decreasing Sedentary Behavior: Protocol for a Randomized Controlled Pilot Trial With Female Patients From a Women’s Heart Clinic. JMIR Research Protocols 2020;9(12):e20926 View
  44. Qian Y, Gui W, Ma F, Dong Q. Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data. Health Informatics Journal 2021;27(2):146045822110214 View
  45. Oppezzo M, Tremmel J, Kapphahn K, Desai M, Baiocchi M, Sanders M, Prochaska J. Feasibility, preliminary efficacy, and accessibility of a twitter-based social support group vs Fitbit only to decrease sedentary behavior in women. Internet Interventions 2021;25:100426 View

Books/Policy Documents

  1. Zhang M, Yang C. Smart Health. View
  2. Zhang M, Yang C, Li J. Social Computing, Behavioral - Cultural Modeling and Prediction. View
  3. La Torre G, Miccoli S. Smoking Prevention and Cessation. View
  4. Zhang M, Yang C, Chuang K. Social Computing, Behavioral-Cultural Modeling and Prediction. View