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Citing this Article

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Published on 03.02.15 in Vol 17, No 2 (2015): February

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

Works citing "Short-Term Trajectories of Use of a Caloric-Monitoring Mobile Phone App Among Patients With Type 2 Diabetes Mellitus in a Primary Care Setting"

Glenn Goh, Ngiap Chuan Tan, Rahul Malhotra, Uma Padmanabhan, Sylvaine Barbier, John Carson Allen Jr, Truls Østbye

J Med Internet Res 2015 (Feb 03); 17(2):e33 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3938):

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

  1. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725
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  2. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
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  3. Liu X, Wang R, Zhou D, Hong Z. Smartphone applications for seizure care and management in children and adolescents with epilepsy: Feasibility and acceptability assessment among caregivers in China. Epilepsy Research 2016;127:1
    CrossRef
  4. Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094
    CrossRef
  5. Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941
    CrossRef
  6. Finkenflügel RN, Hoornenborg E, Achterbergh RC, Marra E, Davidovich U, de Vries HJ, Prins M, Schim van der Loeff MF. A Mobile Application to Collect Daily Data on Preexposure Prophylaxis Adherence and Sexual Behavior Among Men Who Have Sex With Men: Use Over Time and Comparability With Conventional Data Collection. Sexually Transmitted Diseases 2019;46(6):400
    CrossRef
  7. Nie L, Xie B, Yang Y, Shan YM. Characteristics of Chinese m-Health Applications for Diabetes Self-Management. Telemedicine and e-Health 2016;22(7):614
    CrossRef
  8. Milward J, Deluca P, Drummond C, Kimergård A. Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study. JMIR mHealth and uHealth 2018;6(12):e11692
    CrossRef
  9. Hu J, Yuan DZ, Zhao QY, Wang XF, Zhang XT, Jiang QH, Luo HR, Li J, Ran JH, Li JF. Acceptability and practicability of self-management for patients with Parkinson’s disease based on smartphone applications in China. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  10. Anderson K, Emmerton LM. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591
    CrossRef
  11. Liu X, Wang R, Zhou D, Hong Z. Feasibility and acceptability of smartphone applications for seizure self-management in China: Questionnaire study among people with epilepsy. Epilepsy & Behavior 2016;55:57
    CrossRef
  12. Bricker JB, Sridharan V, Zhu Y, Mull KE, Heffner JL, Watson NL, McClure JB, Di C. Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time. Journal of Medical Internet Research 2018;20(4):e10143
    CrossRef
  13. Si Y, Xiao X, Xia C, Guo J, Hao Q, Mo Q, Niu Y, Sun H. Optimising epilepsy management with a smartphone application: a randomised controlled trial. Medical Journal of Australia 2020;212(6):258
    CrossRef
  14. Martos-Cabrera MB, Velando-Soriano A, Pradas-Hernández L, Suleiman-Martos N, Cañadas-De la Fuente GA, Albendín-García L, Gómez-Urquiza JL. Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine 2020;9(3):693
    CrossRef
  15. Kruse CS, Mileski M, Moreno J. Mobile health solutions for the aging population: A systematic narrative analysis. Journal of Telemedicine and Telecare 2017;23(4):439
    CrossRef
  16. Ye T, Zhang P, Ouyang Z, Yang J, Xu C, Pan Z, Wu Z, Zhang L, Li B. Multi-trajectory modeling of home blood pressure telemonitoring utilization among hypertensive patients in China: A latent class growth analysis. International Journal of Medical Informatics 2018;119:70
    CrossRef
  17. Kankanhalli A, Shin J, Oh H. Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11312
    CrossRef
  18. Bt Wan Mohamed Radzi CWJ, Salarzadeh Jenatabadi H, Samsudin N. mHealth Apps Assessment among Postpartum Women with Obesity and Depression. Healthcare 2020;8(2):72
    CrossRef
  19. Zapata KA, Wang-Price SS, Fletcher TS, Johnston CE. Factors influencing adherence to an app-based exercise program in adolescents with painful hyperkyphosis. Scoliosis and Spinal Disorders 2018;13(1)
    CrossRef
  20. Bonner A, Gillespie K, Campbell KL, Corones-Watkins K, Hayes B, Harvie B, Kelly JT, Havas K. Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study. BMC Nephrology 2018;19(1)
    CrossRef
  21. Cho J, Lee S, Shin JA, Kim JH, Lee HS. The Impact of Patient Education with a Smartphone Application on the Quality of Bowel Preparation for Screening Colonoscopy. Clinical Endoscopy 2017;50(5):479
    CrossRef
  22. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e210
    CrossRef
  23. Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26(4):426
    CrossRef
  24. Yang Q, Hatch D, Crowley MJ, Lewinski AA, Vaughn J, Steinberg D, Vorderstrasse A, Jiang M, Shaw RJ. Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis. JMIR mHealth and uHealth 2020;8(6):e17730
    CrossRef
  25. Park K, Lee H, Lee Y, Cho J, Kim B, Song Y. Reliability and Validity of Korean version of Diabetes Empowerment Scale Short Form. Journal of Korean Academy of Fundamentals of Nursing 2017;24(4):296
    CrossRef
  26. Bradway M, Gabarron E, Johansen M, Zanaboni P, Jardim P, Joakimsen R, Pape-Haugaard L, Årsand E. Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review. JMIR mHealth and uHealth 2020;8(4):e16814
    CrossRef
  27. Buck HG, Shadmi E, Topaz M, Sockolow PS. An integrative review and theoretical examination of chronic illness mHealth studies using the Middle‐Range Theory of Self‐care of Chronic Illness. Research in Nursing & Health 2021;44(1):47
    CrossRef
  28. Maassen O, Fritsch S, Gantner J, Deffge S, Kunze J, Marx G, Bickenbach J. Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2020;22(12):e23955
    CrossRef
  29. Bricker JB, Mull KE, Santiago-Torres M, Miao Z, Perski O, Di C. Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. Journal of Medical Internet Research 2022;24(8):e39208
    CrossRef
  30. Kinouchi K, Ohashi K. Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis. JMIR Formative Research 2022;6(5):e35471
    CrossRef
  31. Lavikainen P, Mattila E, Absetz P, Harjumaa M, Lindström J, Järvelä-Reijonen E, Aittola K, Männikkö R, Tilles-Tirkkonen T, Lintu N, Lakka T, van Gils M, Pihlajamäki J, Martikainen J. Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e31530
    CrossRef
  32. Arkhipov VV, Burmistrova NI. Automated Information Systems as a New Approach to Risk Management of Pharmacotherapy in the Treatment of Epilepsy. Safety and Risk of Pharmacotherapy 2022;10(2):151
    CrossRef
  33. O'Connor S, Blais C, Mésidor M, Talbot D, Poirier P, Leclerc J. Great diversity in the utilization and reporting of latent growth modeling approaches in type 2 diabetes: A literature review. Heliyon 2022;8(9):e10493
    CrossRef
  34. Park K, Song Y. Multimodal Diabetes Empowerment for Older Adults with Diabetes. International Journal of Environmental Research and Public Health 2022;19(18):11299
    CrossRef
  35. Sockolow PS, Buck HG, Shadmi E. An integrative review of chronic illness mHealth self-care interventions: Mapping technology features to patient outcomes. Health Informatics Journal 2021;27(3):146045822110439
    CrossRef
  36. CANBOLAT , EKENLER , POLAT . DİYABET ÖZYÖNETİMİNDE ENGELLER VE KOLAYLAŞTIRICILAR. SDÜ Tıp Fakültesi Dergisi 2022;29(1):143
    CrossRef
  37. Wuri Kartika A, Widyatuti W, Rekawati E. DIMAS (Diabetes Management Support) Application: Mobile-Phone Based Intervention to Support Diabetes Self-Management Activities. Malaysian Journal of Medicine and Health Sciences 2023;19(4):186
    CrossRef
  38. 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
    CrossRef
  39. Arkhipov VV, Mantserov KM. Personalized Methodological Approaches to the Issues of Monitoring the Effectiveness and Safety of Pharmacotherapy with Antiepileptic Drugs Based on Mobile Medicine Technologies. Personalized Psychiatry and Neurology 2023;3(1):22
    CrossRef
  40. . Applications of artificial intelligence in the management of childhood obesity. Journal of Family Medicine and Primary Care 2023;12(11):2558
    CrossRef
  41. Chinsuwan P, W.Wilodjananunt W, Wanvarie D, Suksumek N, Sakpichaisakul K, Simasathien T, Nabangchang C, Suwanpakdee P. Feasibility of mobile phone application “Epilepsy care” for self-management of children and adolescents with epilepsy in Phramongkutklao hospital: A randomized controlled trial. Epilepsy & Behavior 2024;151:109598
    CrossRef
  42. Zhang X, Yin C, Guo X, Lai K. The Role of Previous Affective Responses in the Continuance of mHealth Monitoring Services: A Longitudinal Investigation. IEEE Transactions on Engineering Management 2024;71:6982
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3938):

  1. Chen Y, Yang L, Hu H, Chen J, Shen B. Healthcare and Big Data Management. 2017. Chapter 1:1
    CrossRef
  2. . Mobile Web and Intelligent Information Systems. 2016. Chapter 24:295
    CrossRef