Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

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"

Felix Naughton, Sarah Hopewell, Neal Lathia, Rik Schalbroeck, Chloë Brown, Cecilia Mascolo, Andy McEwen, Stephen Sutton

JMIR Mhealth Uhealth 2016 (Sep 16); 4(3):e106 

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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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 2021;11(1):216
    CrossRef
  8. 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
  9. 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
  10. 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
  11. Di Matteo D, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman MA, Rose J. The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study. JMIR Formative Research 2020;4(8):e18751
    CrossRef
  12. 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
  13. 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
  14. 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
  15. . Cognitive Behavioral and Mindfulness-Based Interventions for Smoking Cessation: a Review of the Recent Literature. Current Oncology Reports 2020;22(6)
    CrossRef
  16. Figueiras MJ, Neto DD. Challenges in “Tailoring” Adjustment. European Psychologist 2019;24(1):1
    CrossRef
  17. 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
  18. 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
  19. Carpenter SM, Menictas M, Nahum-Shani I, Wetter DW, Murphy SA. Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Current Addiction Reports 2020;7(3):280
    CrossRef
  20. 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
  21. Walsh JC, Groarke JM. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38
    CrossRef
  22. 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
  23. 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
  24. Elliston KG, Schüz B, Albion T, Ferguson SG. Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study. JMIR mHealth and uHealth 2020;8(7):e15948
    CrossRef
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. Wright WG, Rafferty AP, Winterbauer N, Locklear K, Tucker‐McLaughlin M. Geofencing: Mobile Technology as a Health Promotion Tool to Raise Awareness of a Dental Clinic in Rural North Carolina. The Journal of Rural Health 2021;37(3):667
    CrossRef
  31. Vinci C, Haslam A, Lam CY, Kumar S, Wetter DW. The use of ambulatory assessment in smoking cessation. Addictive Behaviors 2018;83:18
    CrossRef
  32. 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
  33. 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
  34. Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
    CrossRef
  35. 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
  36. 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
  37. 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
  38. Jones A, Crawford J, Rose A, Christiansen P, Cooke R. Regret Me Not: Examining the Relationship between Alcohol Consumption and Regrettable Experiences. Substance Use & Misuse 2020;55(14):2379
    CrossRef
  39. Juarascio AS, Hunt RA, Lantz Lesser E, Engel SG, Pisetsky EM, Peterson CB, Wonderlich SA. Enhancing Integrative Cognitive‐Affective Therapy with ecological momentary interventions: A pilot trial. European Eating Disorders Review 2021;29(1):152
    CrossRef
  40. Koslovsky MD, Hébert ET, Businelle MS, Vannucci M. A Bayesian time-varying effect model for behavioral mHealth data. The Annals of Applied Statistics 2020;14(4)
    CrossRef
  41. Naughton F, Brown C, High J, Notley C, Mascolo C, Coleman T, Barton G, Shepstone L, Sutton S, Prevost AT, Crane D, Greaves F, Hope A. Randomised controlled trial of a just-in-time adaptive intervention (JITAI) smoking cessation smartphone app: the Quit Sense feasibility trial protocol. BMJ Open 2021;11(4):e048204
    CrossRef
  42. Rao D, Shiyanbola OO. Best practices for conducting and writing mixed methods research in social pharmacy. Research in Social and Administrative Pharmacy 2022;18(1):2184
    CrossRef
  43. Lekkas D, Jacobson NC. Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma. Scientific Reports 2021;11(1)
    CrossRef
  44. Wright AC, Browne J, Skiest H, Bhiku K, Baker JT, Cather C. The relationship between conventional clinical assessments and momentary assessments of symptoms and functioning in schizophrenia spectrum disorders: A systematic review. Schizophrenia Research 2021;232:11
    CrossRef
  45. Daniëls NEM, Hochstenbach LMJ, van Zelst C, van Bokhoven MA, Delespaul PAEG, Beurskens AJHM. Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review. JMIR mHealth and uHealth 2021;9(6):e19536
    CrossRef
  46. Koch ED, Moukhtarian TR, Skirrow C, Bozhilova N, Asherson P, Ebner-Priemer UW. Using e-diaries to investigate ADHD – State-of-the-art and the promising feature of just-in-time-adaptive interventions. Neuroscience & Biobehavioral Reviews 2021;127:884
    CrossRef
  47. Abo-Tabik M, Benn Y, Costen N. Are Machine Learning Methods the Future for Smoking Cessation Apps?. Sensors 2021;21(13):4254
    CrossRef
  48. Xu X, Mankoff J, Dey AK. Understanding practices and needs of researchers in human state modeling by passive mobile sensing. CCF Transactions on Pervasive Computing and Interaction 2021;3(4):344
    CrossRef
  49. Engelhard MM, D'Arcy J, Oliver JA, Kozink R, McClernon FJ. Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation. Journal of Medical Internet Research 2021;23(11):e27875
    CrossRef
  50. Moczygemba LR, Thurman W, Tormey K, Hudzik A, Welton-Arndt L, Kim E. GPS Mobile Health Intervention Among People Experiencing Homelessness: Pre-Post Study. JMIR mHealth and uHealth 2021;9(11):e25553
    CrossRef
  51. . A model of integrated remote monitoring and behaviour change for osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1)
    CrossRef
  52. Perski O, Hébert ET, Naughton F, Hekler EB, Brown J, Businelle MS. Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction 2022;117(5):1220
    CrossRef
  53. Thrul J, Howe CL, Devkota J, Alexander A, Allen AM, Businelle MS, Hébert ET, Heffner JL, Kendzor DE, Ra CK, Gordon JS. A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research. Nicotine and Tobacco Research 2023;25(8):1413
    CrossRef
  54. Felemban S, Vazquez P, Balbaied T, Moore E. Lab-on-a-Chip Electrochemical Immunosensor Array Integrated with Microfluidics: Development and Characterisation. Electrochem 2022;3(4):570
    CrossRef
  55. Wolkowicz NR, Peltier MR, Wemm S, MacLean RR. Subjective stress and alcohol use among young adult and adult drinkers: Systematic review of studies using Intensive Longitudinal Designs. Drug and Alcohol Dependence Reports 2022;3:100039
    CrossRef
  56. Van Emmenis M, Jamison J, Kassavou A, Hardeman W, Naughton F, A'Court C, Sutton S, Eborall H. Patient and practitioner views on a combined face-to-face and digital intervention to support medication adherence in hypertension: a qualitative study within primary care. BMJ Open 2022;12(2):e053183
    CrossRef
  57. Hoving C, de Ruijter D, Smit ES. Using tailored eHealth programmes to stimulate primary health care professionals’ lifestyle counselling guideline adherence - Lessons learned from the STAR project. Patient Education and Counseling 2023;109:107621
    CrossRef
  58. Lee U, Jung G, Ma E, Kim JS, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42
    CrossRef
  59. Luken A, Desjardins MR, Moran MB, Mendelson T, Zipunnikov V, Kirchner TR, Naughton F, Latkin C, Thrul J. Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case Study. JMIR mHealth and uHealth 2023;11:e43990
    CrossRef
  60. Zhang M, Wolters M, O'Connor S, Wang Y, Doi L. Smokers’ user experience of smoking cessation apps: A systematic review. International Journal of Medical Informatics 2023;175:105069
    CrossRef
  61. Serre F, Moriceau S, Donnadieu L, Forcier C, Garnier H, Alexandre J, Dupuy L, Philip P, Levavasseur Y, De Sevin E, Auriacombe M. The Craving-Manager smartphone app designed to diagnose substance use/addictive disorders, and manage craving and individual predictors of relapse: a study protocol for a multicenter randomized controlled trial. Frontiers in Psychiatry 2023;14
    CrossRef
  62. Tobin K, Heidari O, Volpi C, Sodder S, Duncan D. Use of geofencing interventions in population health research: a scoping review. BMJ Open 2023;13(8):e069374
    CrossRef
  63. Perski O, Li K, Pontikos N, Simons D, Goldstein SP, Naughton F, Brown J. Classification of Lapses in Smokers Attempting to Stop: A Supervised Machine Learning Approach Using Data From a Popular Smoking Cessation Smartphone App. Nicotine and Tobacco Research 2023;25(7):1330
    CrossRef
  64. Dowling NA, Rodda SN, Merkouris SS. Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions. Journal of Gambling Studies 2023;
    CrossRef
  65. Naughton F, Hope A, Siegele-Brown C, Grant K, Barton G, Notley C, Mascolo C, Coleman T, Shepstone L, Sutton S, Prevost AT, Crane D, Greaves F, High J. An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense). Nicotine and Tobacco Research 2023;25(7):1319
    CrossRef
  66. Shevchenko Y, Reips U. Geofencing in location-based behavioral research: Methodology, challenges, and implementation. Behavior Research Methods 2023;
    CrossRef
  67. 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
  68. Xu Z, Smit E. Using a complexity science approach to evaluate the effectiveness of just-in-time adaptive interventions: A meta-analysis. DIGITAL HEALTH 2023;9
    CrossRef
  69. Jackson K, Meisel M, Sokolovsky A, Chen K, Barnett N. Detecting and Understanding Social Influence during Drinking Situations: A Study Protocol for Establishing Feasibility and Acceptability of a Bluetooth-based Sensor (Preprint). JMIR Research Protocols 2023;
    CrossRef
  70. Zhou S, Levinson AH, Zhang X, Portz JD, Moore SL, Gore MO, Ford KL, Li Q, Bull S. A Pilot Study and Ecological Model of Smoking Cues to Inform Mobile Health Strategies for Quitting Among Low-Income Smokers. Health Promotion Practice 2021;22(6):850
    CrossRef
  71. Pater JA, Phelan C, Cornet VP, Ahmed R, Colletta S, Hess E, Kerrigan C, Toscos T. User-Centered Design of a Mobile App to Support Peer Recovery in a Clinical Setting. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1
    CrossRef

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

  1. 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
  2. Ferguson SG, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. 23:301
    CrossRef
  3. . The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. Part VI:299
    CrossRef
  4. Yardley L, Morrison L, Muller I, Bradbury K. The Handbook of Behavior Change. 2020. 25:361
    CrossRef
  5. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. 2023. Chapter 24:413
    CrossRef
  6. Pramanik HS, Pal A, Kirtania M, Chakravarty T, Ghose A. Smartphone-Based Detection Devices. 2021. :375
    CrossRef
  7. Rao D, Shiyanbola OO. Contemporary Research Methods in Pharmacy and Health Services. 2022. :407
    CrossRef
  8. Nahum-Shani I, Wetter DW, Murphy SA. Digital Therapeutics for Mental Health and Addiction. 2023. :77
    CrossRef
  9. Meijer E, Mansour MB. Digital Respiratory Healthcare. 2023. 18:229
    CrossRef
  10. Togawa R, Legaspi R, Nishimura Y, Miyamamoto A, Yang B, Sugisaki E, Ikeda K, Kobayashi N, Naruse Y. Persuasive Technology. 2024. Chapter 21:273
    CrossRef