Published on 18.08.10 in Vol 12, No 3 (2010): Jul-Sep
Works citing "Online Social and Professional Support for Smokers Trying to Quit: An Exploration of First Time Posts From 2562 Members"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1340):
(note that this is only a small subset of citations)
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van Mierlo T, Fournier R, Jean-Charles A, Hovington J, Ethier I, Selby P, Colizza V. I'll Txt U if I Have a Problem: How the Société Canadienne du Cancer in Quebec Applied Behavior-Change Theory, Data Mining and Agile Software Development to Help Young Adults Quit Smoking. PLoS ONE 2014;9(3):e91832
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Zhao K, Wang X, Cha S, Cohn AM, Papandonatos GD, Amato MS, Pearson JL, Graham AL. A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation. Journal of Medical Internet Research 2016;18(8):e233
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Jones EC, Storksdieck M, Rangel ML. How Social Networks May Influence Cancer Patients' Situated Identity and Illness-Related Behaviors. Frontiers in Public Health 2018;6
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Epstein M, Oesterle S, Haggerty KP. Effectiveness of Facebook Groups to Boost Participation in a Parenting Intervention. Prevention Science 2019;20(6):894
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Cole-Lewis H, Perotte A, Galica K, Dreyer L, Griffith C, Schwarz M, Yun C, Patrick H, Coa K, Augustson E. Social Network Behavior and Engagement Within a Smoking Cessation Facebook Page. Journal of Medical Internet Research 2016;18(8):e205
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Daneshvar H, Anderson S, Williams R, Mozaffar H. How Can Social Media Lead to Co-Production (Co-Delivery) of New Services for the Elderly Population? A Qualitative Study. JMIR Human Factors 2018;5(1):e5
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O'Neill B, Ziebland S, Valderas J, Lupiáñez-Villanueva F. User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom. Journal of Medical Internet Research 2014;16(4):e118
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Chuang KY, Yang CC. Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking. Journal of Medical Internet Research 2012;14(3):e54
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Cobb NK, Mays D, Graham AL. Sentiment Analysis to Determine the Impact of Online Messages on Smokers' Choices to Use Varenicline. JNCI Monographs 2013;2013(47):224
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Kurko T, Linden K, Kolstela M, Pietilä K, Airaksinen M. Is nicotine replacement therapy overvalued in smoking cessation? Analysis of smokers' and quitters' communication in social media. Health Expectations 2015;18(6):2962
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Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication. Journal of Medical Internet Research 2013;15(4):e85
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Granado-Font E, Ferré-Grau C, Rey-Reñones C, Pons-Vigués M, Pujol Ribera E, Berenguera A, Barrera-Uriarte ML, Basora J, Valverde-Trillo A, Duch J, Flores-Mateo G. Coping Strategies and Social Support in a Mobile Phone Chat App Designed to Support Smoking Cessation: Qualitative Analysis. JMIR mHealth and uHealth 2018;6(12):e11071
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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)
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Veuillotte I, Morel G, Pitois S, Haler R, Mercier P, Aubry C, Cannet D. General practice and the Internet revolution. Use of an Internet social network to communicate information on prevention in France. Health Informatics Journal 2015;21(1):3
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Risson V, Ghodge B, Bonzani IC, Korn JR, Medin J, Saraykar T, Sengupta S, Saini D, Olson M. Linked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to Health Care Claims Databases Identifies a Representative Population for Real-Life Data Analysis in Multiple Sclerosis. Journal of Medical Internet Research 2016;18(9):e249
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Zhang M, Yang CC. The differences of user behavior between forum and Facebook for smoking cessation intervention. Proceedings of the American Society for Information Science and Technology 2012;49(1):1
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Healey B, Hoek J, Edwards R, Shahab L. Posting Behaviour Patterns in an Online Smoking Cessation Social Network: Implications for Intervention Design and Development. PLoS ONE 2014;9(9):e106603
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van Mierlo T, Voci S, Lee S, Fournier R, Selby P. Superusers in Social Networks for Smoking Cessation: Analysis of Demographic Characteristics and Posting Behavior From the Canadian Cancer Society's Smokers' Helpline Online and StopSmokingCenter.net. Journal of Medical Internet Research 2012;14(3):e66
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van Mierlo T, Hyatt D, Ching AT, Fournier R, Dembo RS. Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games 2016;4(1):e1
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van Mierlo T, Fournier R, Ingham M, Wallace GR. Targeting Medication Non-Adherence Behavior in Selected Autoimmune Diseases: A Systematic Approach to Digital Health Program Development. PLOS ONE 2015;10(6):e0129364
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De Simoni A, Shah AT, Fulton O, Parkinson J, Sheikh A, Panzarasa P, Pagliari C, Coulson NS, Griffiths CJ. Superusers’ Engagement in Asthma Online Communities: Asynchronous Web-Based Interview Study. Journal of Medical Internet Research 2020;22(6):e18185
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Cobb NK, Graham AL, Byron MJ, Niaura RS, Abrams DB. Online Social Networks and Smoking Cessation: A Scientific Research Agenda. Journal of Medical Internet Research 2011;13(4):e119
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Post SD, Taylor SC, Sanders AE, Goldfarb JM, Hunt YM, Augustson EM. If You Build (and Moderate) It, They Will Come: The Smokefree Women Facebook Page. JNCI Monographs 2013;2013(47):206
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Keller PA, Schillo BA, Kerr AN, Lien RK, Saul J, Dreher M, Lachter RB. Increasing reach by offering choices: Results from an innovative model for statewide services for smoking cessation. Preventive Medicine 2016;91:96
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. The 1% Rule in Four Digital Health Social Networks: An Observational Study. Journal of Medical Internet Research 2014;16(2):e33
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Glover M, Bosman A, Wagemakers A, Kira A, Paton C, Cowie N. An innovative team-based stop smoking competition among Māori and Pacific Island smokers: rationale and method for the study and its evaluation. BMC Public Health 2013;13(1)
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Bornkessel A, Furberg R, Lefebvre RC. Social Media: Opportunities for Quality Improvement and Lessons for Providers—A Networked Model for Patient-Centered Care Through Digital Engagement. Current Cardiology Reports 2014;16(7)
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Amato MS, Papandonatos GD, Cha S, Wang X, Zhao K, Cohn AM, Pearson JL, Graham AL. Inferring Smoking Status from User Generated Content in an Online Cessation Community. Nicotine & Tobacco Research 2019;21(2):205
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Tapi Nzali MD, Bringay S, Lavergne C, Mollevi C, Opitz T. What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer. JMIR Medical Informatics 2017;5(3):e23
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McKelvey K, Ramo D. Conversation Within a Facebook Smoking Cessation Intervention Trial For Young Adults (Tobacco Status Project): Qualitative Analysis. JMIR Formative Research 2018;2(2):e11138
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Cheung YTD, Chan CHH, Ho KS, Fok WP, Conway M, Wong CKH, Li WHC, Wang MP, Lam TH. Effectiveness of WhatsApp online group discussion for smoking relapse prevention: protocol for a pragmatic randomized controlled trial. Addiction 2020;115(9):1777
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Graham AL, Zhao K, Papandonatos GD, Erar B, Wang X, Amato MS, Cha S, Cohn AM, Pearson JL, Amblard F. A prospective examination of online social network dynamics and smoking cessation. PLOS ONE 2017;12(8):e0183655
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Cha S, Cohn AM, Elmasry H, Graham AL. A Preliminary Exploration of Former Smokers Enrolled in an Internet Smoking Cessation Program. JMIR Research Protocols 2016;5(2):e119
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van Mierlo T, Li X, Hyatt D, Ching AT. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40
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Andrade EL, Evans WD, Barrett N, Edberg MC, Cleary SD. Strategies to Increase Latino Immigrant Youth Engagement in Health Promotion Using Social Media: Mixed-Methods Study. JMIR Public Health and Surveillance 2018;4(4):e71
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van Agteren JEM, Lawn S, Bonevski B, Smith BJ. Kick.it: The development of an evidence-based smoking cessation smartphone app. Translational Behavioral Medicine 2018;8(2):243
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Wang X, Zhao K, Cha S, Amato MS, Cohn AM, Pearson JL, Papandonatos GD, Graham AL. Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems 2019;116:26
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Campos PCM, Gomide M. O Programa Nacional de Controle do Tabagismo (PNCT) na perspectiva social: a análise de redes, capital e apoio social. Cadernos Saúde Coletiva 2015;23(4):436
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van Mierlo T, Hyatt D, Ching AT. Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1)
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Cheung YTD, Chan CHH, Lai CJ, Chan WFV, Wang MP, Li HCW, Chan SSC, Lam T. Using WhatsApp and Facebook Online Social Groups for Smoking Relapse Prevention for Recent Quitters: A Pilot Pragmatic Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(10):e238
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Schneider A, von Krogh G, Jäger P. “What’s coming next?” Epistemic curiosity and lurking behavior in online communities. Computers in Human Behavior 2013;29(1):293
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Pearson JL, Amato MS, Papandonatos GD, Zhao K, Erar B, Wang X, Cha S, Cohn AM, Graham AL. Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use. Addictive Behaviors 2018;87:39
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Shah AM, Yan X, Qayyum A. Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status. Healthcare Informatics Research 2021;27(2):116
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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
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Storman D, Jemioło P, Swierz MJ, Sawiec Z, Antonowicz E, Prokop-Dorner A, Gotfryd-Burzyńska M, Bala MM. Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions. JMIR Mental Health 2022;9(12):e36056
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Struik L, Khan S, Assoiants A, Sharma RH. Assessment of Social Support and Quitting Smoking in an Online Community Forum: Study Involving Content Analysis. JMIR Formative Research 2022;6(1):e34429
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Yegnanarayanan V, Krithicaa Narayanaa Y, Anitha M, Ciurea R, Marceanu LG, Balas VE. Graph theoretical way of understanding protein-protein interaction in ovarian cancer. Journal of Intelligent & Fuzzy Systems 2022;43(2):1877
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TAKAHASHI A, SUEKI H, ITO J. Rapid E-mail Response to First-Contact E-mails Increases Consultation Continuation Rates for Suicide Prevention. Asian Journal of Human Services 2021;20:19
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Rondina R, van Mierlo T, Fournier R. Testing Behavioral Nudges and Prompts in Digital Courses for the Self-guided Treatment of Depression and Anxiety: Protocol for a 3-Arm Randomized Controlled Trial. JMIR Research Protocols 2022;11(8):e37231
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Chen X, Al-Worafi YM. Online health communities influence people’s health behaviors in the context of COVID-19. PLOS ONE 2023;18(4):e0282368
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He WJA, Wang Q, Lam TH, Chan CHH, Luk TT, Wang MP, Chan SCS, Cheung YTD. Effectiveness of Instant Messaging-Based Online Group Support for Preventing Smoking Relapse: a Pragmatic Randomized Controlled Trial. International Journal of Mental Health and Addiction 2024;
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van Mierlo T, Rondina R, Fournier R. Nudges and Prompts Increase Engagement in Self-Guided Digital Health Treatment for Depression and Anxiety: Results From a 3-Arm Randomized Controlled Trial. JMIR Formative Research 2024;8:e52558
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Liu X, Zhou Y, Wang Z, Kumar A, Biswas B. Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records. IEEE Transactions on Engineering Management 2024;71:6319
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1340):