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Citing this Article

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Published on 26.07.16 in Vol 4, No 3 (2016): Jul-Sept

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

Works citing "Mobile Apps for Weight Management: A Scoping Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5115):

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

  1. Taçyıldız , Çelik Ertuğrul D. A decision support system on the obesity management and consultation during childhood and adolescence using ontology and semantic rules. Journal of Biomedical Informatics 2020;110:103554
    CrossRef
  2. Chung AE, Griffin AC, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174
    CrossRef
  3. Guisado-Fernández E, Giunti G, Mackey LM, Blake C, Caulfield BM. Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework. JMIR Aging 2019;2(1):e12192
    CrossRef
  4. Dahl AA, Dunn CG, Boutté AK, Crimarco A, Turner-McGrievy G. Mobilizing mHealth for Moms: a Review of Mobile Apps for Tracking Gestational Weight Gain. Journal of Technology in Behavioral Science 2018;3(1):32
    CrossRef
  5. Pagoto S, Tulu B, Agu E, Waring ME, Oleski JL, Jake-Schoffman DE. Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(6):e145
    CrossRef
  6. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40
    CrossRef
  7. Jamaladin H, van de Belt TH, Luijpers LC, de Graaff FR, Bredie SJ, Roeleveld N, van Gelder MM. Mobile Apps for Blood Pressure Monitoring: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2018;6(11):e187
    CrossRef
  8. Thompson D, Baranowski T. Chatbots as extenders of pediatric obesity intervention: an invited commentary on “Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot”. Translational Behavioral Medicine 2019;9(3):448
    CrossRef
  9. Romiti S, Vinciguerra M, Saade W, Anso Cortajarena I, Greco E. Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance. Cardiology Research and Practice 2020;2020:1
    CrossRef
  10. Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9:S106
    CrossRef
  11. Pedersen PE, Nysveen H. A Brief Systematic Review of Mobile App Markets Research: User, Developer and Platform Perspectives. SSRN Electronic Journal 2018;
    CrossRef
  12. Slater H, Briggs A, Stinson J, Campbell JM. End user and implementer experiences of mHealth technologies for noncommunicable chronic disease management in young adults. JBI Database of Systematic Reviews and Implementation Reports 2017;15(8):2047
    CrossRef
  13. Rivera J, McPherson AC, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7
    CrossRef
  14. Lim SL, Johal J, Ong KW, Han CY, Chan YH, Lee YM, Loo WM. Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14802
    CrossRef
  15. Gómez-de-Regil L, Avila-Nava A, Gutierrez-Solis AL, Lugo R. Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review. Journal of Healthcare Engineering 2020;2020:1
    CrossRef
  16. Kessel KA, Vogel MM, Schmidt-Graf F, Combs SE. Mobile Apps in Oncology: A Survey on Health Care Professionals’ Attitude Toward Telemedicine, mHealth, and Oncological Apps. Journal of Medical Internet Research 2016;18(11):e312
    CrossRef
  17. Bussiek PV, De Poli C, Bevan G. A scoping review protocol to map the evidence on interventions to prevent overweight and obesity in children. BMJ Open 2018;8(2):e019311
    CrossRef
  18. Kim K, Lee C, Hornik RC. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283
    CrossRef
  19. McPherson AC, Oake M, Stinson J. “Don’t sweat it buddy, it’s OK”: an exploration of the needs of adolescents with disabilities when designing a mobile application for weight management and healthy lifestyles. Disability and Rehabilitation 2020;42(11):1569
    CrossRef
  20. Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
    CrossRef
  21. Arigo D, Brown MM, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642
    CrossRef
  22. Goldstein CM, Thomas JG, Wing RR, Bond DS. Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health. Obesity Science & Practice 2017;3(2):117
    CrossRef
  23. Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029
    CrossRef
  24. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97
    CrossRef
  25. Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465
    CrossRef
  26. Alessa T, Hawley MS, Hock ES, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645
    CrossRef
  27. Hoffmann A, Faust-Christmann CA, Zolynski G, Bleser G. Toward Gamified Pain Management Apps: Mobile Application Rating Scale–Based Quality Assessment of Pain-Mentor’s First Prototype Through an Expert Study. JMIR Formative Research 2020;4(5):e13170
    CrossRef
  28. Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203
    CrossRef
  29. Stiles-Shields C, Anderson L, Driscoll CFB, Ohanian DM, Starnes M, Stern A, Yunez J, Holmbeck GN. Technology usage and barriers to the use of behavioral intervention technologies in adolescents and young adults with spina bifida. Journal of Pediatric Rehabilitation Medicine 2020;:1
    CrossRef
  30. Sucala M, Cole-Lewis H, Arigo D, Oser M, Goldstein S, Hekler EB, Diefenbach MA. Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges. Translational Behavioral Medicine 2020;
    CrossRef
  31. Jahnel T, Schüz B. Partizipative Entwicklung von Digital-Public-Health-Anwendungen: Spannungsfeld zwischen Nutzer*innenperspektive und Evidenzbasierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):153
    CrossRef
  32. Mao AY, Chen C, Magana C, Caballero Barajas K, Olayiwola JN. A Mobile Phone-Based Health Coaching Intervention for Weight Loss and Blood Pressure Reduction in a National Payer Population: A Retrospective Study. JMIR mHealth and uHealth 2017;5(6):e80
    CrossRef
  33. Tully L, Burls A, Sorensen J, El-Moslemany R, O'Malley G. Mobile Health for Pediatric Weight Management: Systematic Scoping Review. JMIR mHealth and uHealth 2020;8(6):e16214
    CrossRef
  34. Sucala M, Cuijpers P, Muench F, Cardoș R, Soflau R, Dobrean A, Achimas-Cadariu P, David D. Anxiety: There is an app for that. A systematic review of anxiety apps. Depression and Anxiety 2017;34(6):518
    CrossRef
  35. Giorgi Rossi P, Ferrari F, Amarri S, Bassi A, Bonvicini L, Dall'Aglio L, Della Giustina C, Fabbri A, Ferrari AM, Ferrari E, Fontana M, Foracchia M, Gallelli T, Ganugi G, Ilari B, Lo Scocco S, Maestri G, Moretti V, Panza C, Pinotti M, Prandini R, Storani S, Street ME, Tamelli M, Trowbridge H, Venturelli F, Volta A, Davoli AM. Describing the Process and Tools Adopted to Cocreate a Smartphone App for Obesity Prevention in Childhood: Mixed Method Study. JMIR mHealth and uHealth 2020;8(6):e16165
    CrossRef
  36. Arigo D, Jake-Schoffman DE, Wolin K, Beckjord E, Hekler EB, Pagoto SL. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67
    CrossRef
  37. Smethers AD, Rolls BJ. Dietary Management of Obesity. Medical Clinics of North America 2018;102(1):107
    CrossRef
  38. Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204
    CrossRef
  39. Price M, Higgs S, Wilkinson L, Lee M, Embling R, Kuberka P, Hamill A, Collier J, Keable-Steer S, Reitmaier T, Mukhopadhyay S, Lindsay S. Construal beliefs moderate the usability and effectiveness of a novel healthy eating mobile app. Physiology & Behavior 2020;222:112941
    CrossRef
  40. Sittig S, Hauff C, Graves RJ, Williams SG, McDermott RC, Fruh S, Hall H, Campbell M, Swanzy D, Wright T, Hudson GM. Characteristics of and Factors Influencing College Nursing Studentsʼ Willingness to Utilize mHealth for Health Promotion. CIN: Computers, Informatics, Nursing 2020;38(5):246
    CrossRef
  41. Al-Lami N, Sear K, Dai W, Chen J. Obesity Applications in Smartphones: Development and Use of an Evaluation Tool. Journal of Pediatric Health Care 2020;34(4):377
    CrossRef
  42. Besson M, Gurviez P, Carins J. Using digital devices to help people lose weight: a systematic review. Journal of Social Marketing 2020;ahead-of-print(ahead-of-print)
    CrossRef
  43. Wattanapisit A, Teo CH, Wattanapisit S, Teoh E, Woo WJ, Ng CJ. Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  44. Giunti G, Guisado Fernández E, Dorronzoro Zubiete E, Rivera Romero O. Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e10512
    CrossRef
  45. Koebnick C, Tartof SY, Sidell MA, Rozema E, Chung J, Chiu VY, Taylor ZW, Xiang AH, Getahun D. Effect of In-Utero Antibiotic Exposure on Childhood Outcomes: Methods and Baseline Data of the Fetal Antibiotic EXposure (FAX) Cohort Study. JMIR Research Protocols 2019;8(7):e12065
    CrossRef
  46. Alencar MK, Johnson K, Mullur R, Gray V, Gutierrez E, Korosteleva O. The efficacy of a telemedicine-based weight loss program with video conference health coaching support. Journal of Telemedicine and Telecare 2019;25(3):151
    CrossRef
  47. Partridge S, Redfern J. Strategies to Engage Adolescents in Digital Health Interventions for Obesity Prevention and Management. Healthcare 2018;6(3):70
    CrossRef
  48. Smahel D, Elavsky S, Machackova H. Functions of mHealth applications: A user’s perspective. Health Informatics Journal 2019;25(3):1065
    CrossRef
  49. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750
    CrossRef
  50. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and Mobile Health Technology in Rehabilitation. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):485
    CrossRef
  51. Wellbeloved-Stone CA, Weppner JL, Valdez RS. A Systematic Review of Telerehabilitation and mHealth Interventions for Spinal Cord Injury. Current Physical Medicine and Rehabilitation Reports 2016;4(4):295
    CrossRef
  52. Ogden J, Maxwell H, Wong A. Development and feasibility study of an app (Ladle) for weight loss and behaviour change. PeerJ 2019;7:e6907
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  53. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5115):

  1. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 6:101
    CrossRef
  2. Ryan DH, Anton S. Present Knowledge in Nutrition. 2020. :159
    CrossRef
  3. Oyebode O, Ndulue C, Alhasani M, Orji R. Persuasive Technology. Designing for Future Change. 2020. Chapter 13:163
    CrossRef
  4. , , , , . Internet of Things Use Cases for the Healthcare Industry. 2020. Chapter 1:1
    CrossRef
  5. Wouters E, van der Zijpp T, Nieboer M. (B)eHealth. 2017. Chapter 7:81
    CrossRef