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Citing this Article

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Published on 25.06.13 in Vol 1, No 1 (2013): JMIR MHealth - Inaugural Issue

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

Works citing "“Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2709):

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

  1. Meng Z, Xiong Y, Huang W, Qin L, Jin X, Yan H. AppScalpel: Combining static analysis and outlier detection to identify and prune undesirable usage of sensitive data in Android applications. Neurocomputing 2019;341:10
    CrossRef
  2. Wright CJC, Schwarzman J, Dietze PM, Crockett B, Lim MSC. Barriers and opportunities in the translation of mobile phone and social media interventions between research and health promotion practice in Australia: a qualitative study of expert perspectives. Health Research Policy and Systems 2019;17(1)
    CrossRef
  3. Garnett C, Crane D, West R, Brown J, Michie S. The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers. Translational Behavioral Medicine 2019;9(2):296
    CrossRef
  4. Tofighi B, Chemi C, Ruiz-Valcarcel J, Hein P, Hu L. Smartphone Apps Targeting Alcohol and Illicit Substance Use: Systematic Search in in Commercial App Stores and Critical Content Analysis. JMIR mHealth and uHealth 2019;7(4):e11831
    CrossRef
  5. 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
  6. Hutton A, Prichard I, Whitehead D, Thomas S, Rubin M, Sloand E, Powell TW, Frisch K, Newman P, Goodwin Veenema T. mHealth Interventions to Reduce Alcohol Use in Young People: A Systematic Review of the Literature. Comprehensive Child and Adolescent Nursing 2019;:1
    CrossRef
  7. Critchlow N, MacKintosh AM, Hooper L, Thomas C, Vohra J. Participation with alcohol marketing and user-created promotion on social media, and the association with higher-risk alcohol consumption and brand identification among adolescents in the UK. Addiction Research & Theory 2019;27(6):515
    CrossRef
  8. Piasecki TM. Assessment of Alcohol Use in the Natural Environment. Alcoholism: Clinical and Experimental Research 2019;43(4):564
    CrossRef
  9. Wyatt JC. How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?. BMC Medicine 2018;16(1)
    CrossRef
  10. Kazemi DM, Borsari B, Levine MJ, Lamberson KA, Dooley B. REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students. Addiction Research & Theory 2018;26(5):377
    CrossRef
  11. Choo CC, Burton AAD. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18
    CrossRef
  12. Leightley D, Puddephatt J, Jones N, Mahmoodi T, Chui Z, Field M, Drummond C, Rona RJ, Fear NT, Goodwin L. A Smartphone App and Personalized Text Messaging Framework (InDEx) to Monitor and Reduce Alcohol Use in Ex-Serving Personnel: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(9):e10074
    CrossRef
  13. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65
    CrossRef
  14. Liang D, Han H, Du J, Zhao M, Hser Y. A pilot study of a smartphone application supporting recovery from drug addiction. Journal of Substance Abuse Treatment 2018;88:51
    CrossRef
  15. Ross S. Policy, practice and regulatory issues in mobile technology treatment for forensic clients. European Journal of Probation 2018;10(1):44
    CrossRef
  16. Leightley D, Puddephatt J, Goodwin L, Rona R, Fear NT. InDEx: Open Source iOS and Android Software for Self-Reporting and Monitoring of Alcohol Consumption. Journal of Open Research Software 2018;6
    CrossRef
  17. Sharpe JD, Zhou Z, Escobar-Viera CG, Morano JP, Lucero RJ, Ibañez GE, Hart M, Cook CL, Cook RL. Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study. Substance Abuse 2018;39(1):77
    CrossRef
  18. Hansson K, Johansson BA, Andersson C, Rastam M, Eberhard S. Issues in Child and Adolescent Inpatient Assessment and Evaluation After Discharge: Protocol for App Development and a Randomized Controlled Trial. JMIR Research Protocols 2018;7(11):e10121
    CrossRef
  19. 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
  20. Dragovic M, Davison S, Morgan VA, Chiu VW, Richards N, Vatskalis T, Atkinson A, Waters F. ‘Validated, easy to use and free’: top three requests for mobile device applications (‘apps’) from mental health consumers and clinicians. Advances in Mental Health 2018;:1
    CrossRef
  21. Zhang M, Wing T, Fung D, Smith H. Enhancing the Quality and Utility of Content Analyses for Addictive Disorders. International Journal of Environmental Research and Public Health 2018;15(7):1389
    CrossRef
  22. Barrio P, Ortega L, López H, Gual A. Self-management and Shared Decision-Making in Alcohol Dependence via a Mobile App: a Pilot Study. International Journal of Behavioral Medicine 2017;24(5):722
    CrossRef
  23. Critchlow N, Moodie C, Bauld L, Bonner A, Hastings G. Awareness of, and participation with, user-created alcohol promotion, and the association with higher-risk drinking in young adults. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2017;11(2)
    CrossRef
  24. Mellentin AI, Stenager E, Nielsen B, Nielsen AS, Yu F. A Smarter Pathway for Delivering Cue Exposure Therapy? The Design and Development of a Smartphone App Targeting Alcohol Use Disorder. JMIR mHealth and uHealth 2017;5(1):e5
    CrossRef
  25. Hutton A, Whitehead D, Ullah S. Can positive faith-based encounters influence Australian young people’s drinking behaviours?. Health Education Journal 2017;76(4):423
    CrossRef
  26. Milward J, Deluca P, Drummond C, Watson R, Dunne J, Kimergård A. Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults. JMIR mHealth and uHealth 2017;5(8):e109
    CrossRef
  27. Hughes CE, Moxham-Hall VL. The Going Out In Sydney App: Evaluating the Utility of a Smartphone App for Monitoring Real-World Illicit Drug Use and Police Encounters Among Festival and Club Goers. Substance Abuse: Research and Treatment 2017;11:117822181771141
    CrossRef
  28. Sawares AS, Shen N, Xue Y, Abi-Jaoude A, Wiljer D. The Impact of Mobile Apps on Alcohol Use Disorder: A Systematic Review Protocol. JMIR Research Protocols 2017;6(4):e49
    CrossRef
  29. Gajecki M, Andersson C, Rosendahl I, Sinadinovic K, Fredriksson M, Berman AH. Skills Training via Smartphone App for University Students with Excessive Alcohol Consumption: a Randomized Controlled Trial. International Journal of Behavioral Medicine 2017;24(5):778
    CrossRef
  30. Hoeppner BB, Schick MR, Kelly LM, Hoeppner SS, Bergman B, Kelly JF. There is an app for that – Or is there? A content analysis of publicly available smartphone apps for managing alcohol use. Journal of Substance Abuse Treatment 2017;82:67
    CrossRef
  31. Berman AH, Gajecki M, Sinadinovic K, Andersson C. Mobile Interventions Targeting Risky Drinking Among University Students: A Review. Current Addiction Reports 2016;3(2):166
    CrossRef
  32. Murray E, Hekler EB, Andersson G, Collins LM, Doherty A, Hollis C, Rivera DE, West R, Wyatt JC. Evaluating Digital Health Interventions. American Journal of Preventive Medicine 2016;51(5):843
    CrossRef
  33. Zhang MW, Fang P, Ho RC. Global outreach and user preferences of a smartphone application developed for drinkers. Technology and Health Care 2016;24(4):495
    CrossRef
  34. Zhang MWB, Ward J, Ying JJB, Pan F, Ho RCM. The alcohol tracker application: an initial evaluation of user preferences. BMJ Innovations 2016;2(1):8
    CrossRef
  35. Huang ET, Williams H, Hocking JS, Lim MS. Safe Sex Messages Within Dating and Entertainment Smartphone Apps: A Review. JMIR mHealth and uHealth 2016;4(4):e124
    CrossRef
  36. Barrio P, Ortega L, Bona X, Gual A. Development, Validation, and Implementation of an Innovative Mobile App for Alcohol Dependence Management: Protocol for the SIDEAL Trial. JMIR Research Protocols 2016;5(1):e27
    CrossRef
  37. Wilson H, Stoyanov SR, Gandabhai S, Baldwin A. The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol. JMIR mHealth and uHealth 2016;4(3):e98
    CrossRef
  38. Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews. JMIR mHealth and uHealth 2016;4(2):e47
    CrossRef
  39. Zhang MWB, Ho RCM. Tapping onto the Potential of Smartphone Applications for Psycho-Education and Early Intervention in Addictions. Frontiers in Psychiatry 2016;7
    CrossRef
  40. Moreno MA, Whitehill JM. #Wasted: the intersection of substance use behaviors and social media in adolescents and young adults. Current Opinion in Psychology 2016;9:72
    CrossRef
  41. Wright CJC, Dietze PM, Crockett B, Lim MSC. Participatory development of MIDY (Mobile Intervention for Drinking in Young people). BMC Public Health 2016;16(1)
    CrossRef
  42. Crane D, Garnett C, Brown J, West R, Michie S. Behavior Change Techniques in Popular Alcohol Reduction Apps. Journal of Medical Internet Research 2015;17(5):e118
    CrossRef
  43. Berman AH, Gajecki M, Fredriksson M, Sinadinovic K, Andersson C. Mobile Phone Apps for University Students With Hazardous Alcohol Use: Study Protocol for Two Consecutive Randomized Controlled Trials. JMIR Research Protocols 2015;4(4):e139
    CrossRef
  44. 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
  45. 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
  46. Ramo DE, Popova L, Grana R, Zhao S, Chavez K. Cannabis Mobile Apps: A Content Analysis. JMIR mHealth and uHealth 2015;3(3):e81
    CrossRef
  47. Zhang MW, Ho RC. The alcohol self-management smartphone application: an evidence-based approach. BMJ Innovations 2015;1(3):74
    CrossRef
  48. Bailey J, Mann S, Wayal S, Hunter R, Free C, Abraham C, Murray E. Sexual health promotion for young people delivered via digital media: a scoping review. Public Health Research 2015;3(13):1
    CrossRef
  49. Avis JL, van Mierlo T, Fournier R, Ball GD. Lessons Learned From Using Focus Groups to Refine Digital Interventions. JMIR Research Protocols 2015;4(3):e95
    CrossRef
  50. McKay JR. The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders. Current Behavioral Neuroscience Reports 2015;2(1):23
    CrossRef
  51. Luczak SE, Rosen IG, Wall TL. Development of a Real-Time Repeated-Measures Assessment Protocol to Capture Change over the Course of a Drinking Episode. Alcohol and Alcoholism 2015;50(2):180
    CrossRef
  52. Gajecki M, Berman AH, Sinadinovic K, Rosendahl I, Andersson C. Mobile phone brief intervention applications for risky alcohol use among university students: a randomized controlled study. Addiction Science & Clinical Practice 2014;9(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2709)

:
  1. Khazaal Y. Traité de Réhabilitation Psychosociale. 2018. :237
    CrossRef
  2. Cukier SN, Wettlaufer A. Preventing Alcohol-Related Problems: Evidence and Community-Based Initiatives. 2017.
    CrossRef
  3. Morgan GD, Fiore MC. Oncology Informatics. 2016. :103
    CrossRef