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Citing this Article

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Published on 16.09.16 in Vol 4, No 3 (2016): Jul-Sept

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

Works citing "A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5787):

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

  1. Chatterjee S, Moreno A, Lizotte SL, Akther S, Ertin E, Fagundes CP, Lam C, Rehg JM, Wan N, Wetter DW, Kumar S. SmokingOpp. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(1):1
    CrossRef
  2. Abo-Tabik M, Costen N, Darby J, Benn Y. Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events. Sensors 2020;20(4):1099
    CrossRef
  3. Huh J, Cerrada CJ, Dzubur E, Dunton GF, Spruijt-Metz D, Leventhal AM. Effect of a mobile just-in-time implementation intention intervention on momentary smoking lapses in smoking cessation attempts among Asian American young adults. Translational Behavioral Medicine 2020;
    CrossRef
  4. Hébert ET, Ra CK, Alexander AC, Helt A, Moisiuc R, Kendzor DE, Vidrine DJ, Funk-Lawler RK, Businelle MS. A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16907
    CrossRef
  5. Businelle MS, Walters ST, Mun E, Kirchner TR, Hébert ET, Li X. Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention. JMIR Research Protocols 2020;9(4):e15610
    CrossRef
  6. Vinci C. Cognitive Behavioral and Mindfulness-Based Interventions for Smoking Cessation: a Review of the Recent Literature. Current Oncology Reports 2020;22(6)
    CrossRef
  7. Allan J, McMinn D, Powell D. Tracking snacking in real time: Time to look at individualised patterns of behaviour. Nutrition and Health 2019;25(3):179
    CrossRef
  8. Vilardaga R, Casellas-Pujol E, McClernon JF, Garrison KA. Mobile Applications for the Treatment of Tobacco Use and Dependence. Current Addiction Reports 2019;6(2):86
    CrossRef
  9. Kruse G, Park ER, Shahid NN, Abroms L, Haberer JE, Rigotti NA. Combining Real-Time Ratings With Qualitative Interviews to Develop a Smoking Cessation Text Messaging Program for Primary Care Patients. JMIR mHealth and uHealth 2019;7(3):e11498
    CrossRef
  10. Suchting R, Hébert ET, Ma P, Kendzor DE, Businelle MS. Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse. Nicotine & Tobacco Research 2019;21(2):173
    CrossRef
  11. Wray TB, Pérez AE, Celio MA, Carr DJ, Adia AC, Monti PM. Exploring the Use of Smartphone Geofencing to Study Characteristics of Alcohol Drinking Locations in High‐Risk Gay and Bisexual Men. Alcoholism: Clinical and Experimental Research 2019;43(5):900
    CrossRef
  12. Walsh JC, Groarke JM. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38
    CrossRef
  13. Cosco TD, Firth J, Vahia I, Sixsmith A, Torous J. Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities. JMIR Aging 2019;2(1):e10019
    CrossRef
  14. Blank M, Hoek J, George M, Gendall P, Conner TS, Thrul J, Ling PM, Langlotz T. An Exploration of Smoking-to-Vaping Transition Attempts Using a “Smart” Electronic Nicotine Delivery System. Nicotine & Tobacco Research 2019;21(10):1339
    CrossRef
  15. Zhai D, Schiavone G, Van Diest I, Vrieze E, DeRaedt W, Van Hoof C. Ambulatory Smoking Habits Investigation based on Physiology and Context (ASSIST) using wearable sensors and mobile phones: protocol for an observational study. BMJ Open 2019;9(9):e028284
    CrossRef
  16. Figueiras MJ, Neto DD. Challenges in “Tailoring” Adjustment. European Psychologist 2019;24(1):1
    CrossRef
  17. Choi W, Park S, Kim D, Lim Y, Lee U. Multi-Stage Receptivity Model for Mobile Just-In-Time Health Intervention. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1
    CrossRef
  18. Yin K, Laranjo L, Tong HL, Lau AY, Kocaballi AB, Martin P, Vagholkar S, Coiera E. Context-Aware Systems for Chronic Disease Patients: Scoping Review. Journal of Medical Internet Research 2019;21(6):e10896
    CrossRef
  19. 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
  20. Kwasnicka D, Inauen J, Nieuwenboom W, Nurmi J, Schneider A, Short CE, Dekkers T, Williams AJ, Bierbauer W, Haukkala A, Picariello F, Naughton F. Challenges and solutions for N-of-1 design studies in health psychology. Health Psychology Review 2019;13(2):163
    CrossRef
  21. Vinci C, Haslam A, Lam CY, Kumar S, Wetter DW. The use of ambulatory assessment in smoking cessation. Addictive Behaviors 2018;83:18
    CrossRef
  22. Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
    CrossRef
  23. McClure EA, Tomko RL, Carpenter MJ, Treiber FA, Gray KM. Acceptability and compliance with a remote monitoring system to track smoking and abstinence among young smokers. The American Journal of Drug and Alcohol Abuse 2018;44(5):561
    CrossRef
  24. 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
  25. 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
    CrossRef
  26. Pulantara IW, Parmanto B, Germain A. Development of a Just-in-Time Adaptive mHealth Intervention for Insomnia: Usability Study. JMIR Human Factors 2018;5(2):e21
    CrossRef
  27. Pulantara IW, Parmanto B, Germain A. Clinical Feasibility of a Just-in-Time Adaptive Intervention App (iREST) as a Behavioral Sleep Treatment in a Military Population: Feasibility Comparative Effectiveness Study. Journal of Medical Internet Research 2018;20(12):e10124
    CrossRef
  28. Bertz JW, Epstein DH, Preston KL. Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research. Addictive Behaviors 2018;83:5
    CrossRef
  29. McQuoid J, Thrul J, Ling P. A geographically explicit ecological momentary assessment (GEMA) mixed method for understanding substance use. Social Science & Medicine 2018;202:89
    CrossRef
  30. Juarascio AS, Parker MN, Lagacey MA, Godfrey KM. Just-in-time adaptive interventions: A novel approach for enhancing skill utilization and acquisition in cognitive behavioral therapy for eating disorders. International Journal of Eating Disorders 2018;51(8):826
    CrossRef
  31. Schick RS, Kelsey TW, Marston J, Samson K, Humphris GW. MapMySmoke: feasibility of a new quit cigarette smoking mobile phone application using integrated geo-positioning technology, and motivational messaging within a primary care setting. Pilot and Feasibility Studies 2018;4(1)
    CrossRef
  32. Attwood S, Parke H, Larsen J, Morton KL. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1)
    CrossRef
  33. Perski O, Blandford A, Ubhi HK, West R, Michie S. Smokers’ and drinkers’ choice of smartphone applications and expectations of engagement: a think aloud and interview study. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5787)

:
  1. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. Part VI:299
    CrossRef
  2. Ferguson SG, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. 23:301
    CrossRef
  3. Castro LA, Rodríguez MD, Martínez F, Rodríguez L, Andrade G, Cornejo R. Intelligent Data Sensing and Processing for Health and Well-Being Applications. 2018. :3
    CrossRef