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Citing this Article

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Published on 12.02.14 in Vol 16, No 2 (2014): February

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

Works citing "Smoking Cessation Apps for Smartphones: Content Analysis With the Self-Determination Theory"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3061):

(note that this is only a small subset of citations)

  1. Rajani NB, Weth D, Mastellos N, Filippidis FT. Use of gamification strategies and tactics in mobile applications for smoking cessation: a review of the UK mobile app market. BMJ Open 2019;9(6):e027883
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  2. Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GWY, Bergman BG, Kelly JF. How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis. Nicotine & Tobacco Research 2016;18(5):1025
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  3. Peters D, Davis S, Calvo RA, Sawyer SM, Smith L, Foster JM. Young People’s Preferences for an Asthma Self-Management App Highlight Psychological Needs: A Participatory Study. Journal of Medical Internet Research 2017;19(4):e113
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  4. Baskerville NB, Struik LL, Dash D. Crush the Crave: Development and Formative Evaluation of a Smartphone App for Smoking Cessation. JMIR mHealth and uHealth 2018;6(3):e52
    CrossRef
  5. Jeno LM, Adachi PJC, Grytnes J, Vandvik V, Deci EL. The effects of m‐learning on motivation, achievement and well‐being: A Self‐Determination Theory approach. British Journal of Educational Technology 2019;50(2):669
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  6. Regmi K, Kassim N, Ahmad N, Tuah N. Assessment of content, quality and compliance of the STaR mobile application for smoking cessation. Tobacco Prevention & Cessation 2017;3(July)
    CrossRef
  7. Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
    CrossRef
  8. Burke LE, Ma J, Azar KM, Bennett GG, Peterson ED, Zheng Y, Riley W, Stephens J, Shah SH, Suffoletto B, Turan TN, Spring B, Steinberger J, Quinn CC. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157
    CrossRef
  9. Vyas KS, Hambrick HR, Shakir A, Morrison SD, Tran DC, Pearson K, Vasconez HC, Mardini S, Gosman AA, Dobke M, Granick MS. A Systematic Review of the Use of Telemedicine in Plastic and Reconstructive Surgery and Dermatology. Annals of Plastic Surgery 2017;78(6):736
    CrossRef
  10. Wibowo MF, Kumar AA, Sumarsono S, Rodrigues R. Perceived usefulness of receiving a potential smoking cessation intervention via mobile phones among smokers in Indonesia. Wellcome Open Research 2019;4:94
    CrossRef
  11. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
    CrossRef
  12. Krebs P, Burkhalter J, Fiske J, Snow H, Schofield E, Iocolano M, Borderud S, Ostroff JS. The QuitIT Coping Skills Game for Promoting Tobacco Cessation Among Smokers Diagnosed With Cancer: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10071
    CrossRef
  13. Brinker T, Alfitian J, Seeger W, Groneberg D, von Kalle C, Enk A, Herth F, Kreuter M, Bauer C, Gatzka M, Suhre J. A Face-Aging Smoking Prevention/Cessation Intervention for Nursery School Students in Germany: An Appearance-Focused Interventional Study. International Journal of Environmental Research and Public Health 2018;15(8):1656
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  14. Scott Duncan T, Riggare S, Koch S, Sharp L, Hägglund M. From Information Seekers to Innovators: Qualitative Analysis Describing Experiences of the Second Generation of E-Patients. Journal of Medical Internet Research 2019;21(8):e13022
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  15. Jacobs MA, Cobb CO, Abroms L, Graham AL. Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines. Journal of Medical Internet Research 2014;16(9):e205
    CrossRef
  16. Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2021;16(7):712
    CrossRef
  17. Nagelhout G, Popova L, Kuipers M. Why Are New Tobacco Control Interventions Needed?. International Journal of Environmental Research and Public Health 2018;15(4):658
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  18. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
    CrossRef
  19. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
    CrossRef
  20. Lewis TL, Boissaud-Cooke MA, Aungst TD, Eysenbach G. Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research. Journal of Medical Internet Research 2014;16(7):e174
    CrossRef
  21. Finkelstein J, Cha EM. Using a Mobile App to Promote Smoking Cessation in Hospitalized Patients. JMIR mHealth and uHealth 2016;4(2):e59
    CrossRef
  22. Lecomte T, Potvin S, Corbière M, Guay S, Samson C, Cloutier B, Francoeur A, Pennou A, Khazaal Y. Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses. JMIR mHealth and uHealth 2020;8(5):e17458
    CrossRef
  23. Jeno LM, Dettweiler U, Grytnes J. The effects of a goal-framing and need-supportive app on undergraduates' intentions, effort, and achievement in mobile science learning. Computers & Education 2020;159:104022
    CrossRef
  24. Bruno M, Wright M, Baker CL, Emir B, Carda E, Clausen M, Sigler C, Patel A. Mobile App Usage Patterns of Patients Prescribed a Smoking Cessation Medicine: Prospective Observational Study. JMIR mHealth and uHealth 2018;6(4):e97
    CrossRef
  25. Oeldorf-Hirsch A, High AC, Christensen JL. Count Your Calories and Share Them: Health Benefits of Sharing mHealth Information on Social Networking Sites. Health Communication 2019;34(10):1130
    CrossRef
  26. Rajani NB, Weth D, Mastellos N, Filippidis FT. Adherence of popular smoking cessation mobile applications to evidence-based guidelines. BMC Public Health 2019;19(1)
    CrossRef
  27. Sort A, Khazaal Y. Six Tips on How to Bring Epic Wins to Health Care. Frontiers in Psychiatry 2017;8
    CrossRef
  28. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
    CrossRef
  29. Powell AC, Torous J, Chan S, Raynor GS, Shwarts E, Shanahan M, Landman AB. Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps. JMIR mHealth and uHealth 2016;4(1):e15
    CrossRef
  30. McClure JB, Hartzler AL, Catz SL. Design Considerations for Smoking Cessation Apps: Feedback From Nicotine Dependence Treatment Providers and Smokers. JMIR mHealth and uHealth 2016;4(1):e17
    CrossRef
  31. Phillips SA, Ali M, Modrich C, Oke S, Elokda A, Laddu D, Bond S. Advances in Health Technology Use and Implementation in the Era of Healthy Living: Implications for Precision Medicine. Progress in Cardiovascular Diseases 2019;62(1):44
    CrossRef
  32. Lee J, Dallery J, Laracuente A, Ibe I, Joseph S, Huo J, Salloum RG. A content analysis of free smoking cessation mobile applications in the USA. Journal of Smoking Cessation 2019;14(4):195
    CrossRef
  33. Kelley JB, Alden DL. Online brand community: through the eyes of Self-Determination Theory. Internet Research 2016;26(4):790
    CrossRef
  34. Shen N, Levitan M, Johnson A, Bender JL, Hamilton-Page M, Jadad AR, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16
    CrossRef
  35. Struik LL, Bottorff JL, Baskerville NB, Oliffe J, Crichton S. Comparison of Developers’ and End-Users’ Perspectives About Smoking Cessation Support Through the Crush the Crave App. JMIR mHealth and uHealth 2019;7(3):e10750
    CrossRef
  36. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6
    CrossRef
  37. Wibowo MF, Kumar AA, Sumarsono S, Rodrigues R. Perceived usefulness of receiving a potential smoking cessation intervention via mobile phones among smokers in Indonesia. Wellcome Open Research 2020;4:94
    CrossRef
  38. Rughiniş C, Rughiniş R, Matei . A touching app voice thinking about ethics of persuasive technology through an analysis of mobile smoking-cessation apps. Ethics and Information Technology 2015;17(4):295
    CrossRef
  39. Thornton L, Quinn C, Birrell L, Guillaumier A, Shaw B, Forbes E, Deady M, Kay‐Lambkin F. Free smoking cessation mobile apps available in Australia: a quality review and content analysis. Australian and New Zealand Journal of Public Health 2017;41(6):625
    CrossRef
  40. Bernardes-Souza B, Patruz Ananias De Assis Pires F, Madeira GM, Felício Da Cunha Rodrigues T, Gatzka M, Heppt MV, Omlor AJ, Enk AH, Groneberg DA, Seeger W, von Kalle C, Berking C, Corrêa PCRP, Suhre JL, Alfitian J, Assis A, Brinker TJ. Facial-Aging Mobile Apps for Smoking Prevention in Secondary Schools in Brazil: Appearance-Focused Interventional Study. JMIR Public Health and Surveillance 2018;4(3):e10234
    CrossRef
  41. Baskerville NB, Struik LL, Guindon GE, Norman CD, Whittaker R, Burns C, Hammond D, Dash D, Brown KS. Effect of a Mobile Phone Intervention on Quitting Smoking in a Young Adult Population of Smokers: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e10893
    CrossRef
  42. Khazaal Y, Favrod J, Sort A, Borgeat F, Bouchard S. Editorial: Computers and Games for Mental Health and Well-Being. Frontiers in Psychiatry 2018;9
    CrossRef
  43. Liang Y, Zheng X, Zeng DD, Zhou X, Leischow SJ, Chung W. Exploring How the Tobacco Industry Presents and Promotes Itself in Social Media. Journal of Medical Internet Research 2015;17(1):e24
    CrossRef
  44. Subhi Y, Bube SH, Rolskov Bojsen S, Skou Thomsen AS, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79
    CrossRef
  45. Jain A, Puri R, Nair DR. South Asians. Current Opinion in Cardiology 2017;32(4):430
    CrossRef
  46. Griffiths SE, Brown KE, Fulton EA, Tombor I, Naughton F. Are digital interventions for smoking cessation in pregnancy effective? A systematic review protocol. Systematic Reviews 2016;5(1)
    CrossRef
  47. Jeon M, Park Y. Structural Equation Modeling of Self-Management of Liver Transplant Recipients. Journal of Korean Academy of Nursing 2017;47(5):663
    CrossRef
  48. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
    CrossRef
  49. Ubhi HK, Kotz D, Michie S, van Schayck OC, Sheard D, Selladurai A, West R. Comparative analysis of smoking cessation smartphone applications available in 2012 versus 2014. Addictive Behaviors 2016;58:175
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  50. Cobos-Campos R, Sáez de Lafuente A, Apiñaniz A, Parraza N, Pérez Llanos I, Orive G. Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis. Tobacco Prevention & Cessation 2020;6(November):1
    CrossRef
  51. Moon J, Rigg JS, Smith JE. Korean American Smokers’ Perspectives on Mobile Smoking Cessation Applications. Tobacco Use Insights 2020;13:1179173X2097238
    CrossRef
  52. Chen J, Ho E, Jiang Y, Whittaker R, Yang T, Bullen C. Mobile Social Network–Based Smoking Cessation Intervention for Chinese Male Smokers: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e17522
    CrossRef
  53. Muro-Culebras A, Escriche-Escuder A, Martin-Martin J, Roldan-Jimenez C, De-Torres I, Ruiz-Muñoz M, Gonzalez-Sanchez M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas AI. Tools for evaluating the content, efficacy, and usability of mHealth applications: a COSMIN systematic review (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  54. Penzenstadler L, Chatton A, Van Singer M, Khazaal Y. Quality of Smartphone Apps Related to Alcohol Use Disorder. European Addiction Research 2016;22(6):329
    CrossRef
  55. Khazaal Y, Potvin S, Pennou A, Djomo W, Borgeat F, Lecomte T. Des repères pour la conception des apps ?. Santé mentale au Québec 2021;46(1):119
    CrossRef
  56. . Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106
    CrossRef
  57. Zhang L, Zhang L, Jin C, Tang Z, Wu J, Zhang L. Elderly-Oriented Improvement of Mobile Applications Based on Self-Determination Theory. International Journal of Human–Computer Interaction 2024;40(5):1071
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  58. . Exploring a self-directed interactive app for informal EFL learning: a self-determination theory perspective. Education and Information Technologies 2022;27(4):5767
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  59. Wathuge A, Sedera D. Reducing the Negative Environmental Impact of Consumerization of IT: An Individual-Level Approach. Sustainability 2023;15(16):12160
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  60. Chen J, Chu J, Marsh S, Shi T, Bullen C. Smartphone App-Based Interventions to Support Smoking Cessation in Smokers with Mental Health Conditions: A Systematic Review. Psych 2023;5(4):1077
    CrossRef
  61. Mansour MB, Busschers WB, Crone MR, van Asselt KM, van Weert HC, Chavannes NH, Meijer E. Use of the Smoking Cessation App Ex-Smokers iCoach and Associations With Smoking-Related Outcomes Over Time in a Large Sample of European Smokers: Retrospective Observational Study. Journal of Medical Internet Research 2023;25:e45223
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  62. Caponnetto P, Casu M, Crane D, Ross L, Quattropani MC, Polosa R. User evaluation and feasibility test of an app designed for smoking cessation in Italian people who smoke: preliminary findings from an uncontrolled pre-test post-test open study. BMC Psychology 2023;11(1)
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  63. Etter J, Vera Cruz G, Khazaal Y. Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis. BMC Public Health 2023;23(1)
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  64. . Educational affordances of music video games and gaming mobile apps. Technology, Pedagogy and Education 2024;:1
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  1. . Emotions, Technology, and Health. 2016. :41
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  2. . Traité de Réhabilitation Psychosociale. 2018. :237
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  3. Nizamuddin I, Basra R, Vanam S, Pirani N. Optimizing Medical Education With Instructional Technology. 2019. chapter 9:156
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  4. . Justice over the Course of Life. 2022. Chapter 6:51
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  5. Meijer E, Mansour MB. Digital Respiratory Healthcare. 2023. 18:229
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  6. Graziani P, Romo L. Soigner les Addictions par les TCC. 2023. :373
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