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Citing this Article

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Published on 08.01.16 in Vol 4, No 1 (2016): Jan-Mar

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

Works citing "Outcomes of a Mobile Health Coaching Platform: 12-Week Results of a Single-Arm Longitudinal Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4933):

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

  1. Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-Engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106
    CrossRef
  2. Jung M, Ha Y. Effectiveness of a Workplace Walking Program Using a Fitness Tracker Including Individual Counseling and Tailored Text Messaging. Journal of Korean Academy of Community Health Nursing 2019;30(3):257
    CrossRef
  3. Comello MLG, Qian X, Deal AM, Ribisl KM, Linnan LA, Tate DF. Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program. Journal of Medical Internet Research 2016;18(9):e237
    CrossRef
  4. 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
  5. 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
  6. Blackburne T, Rodriguez A, Johnstone SJ. A Serious Game to Increase Healthy Food Consumption in Overweight or Obese Adults: Randomized Controlled Trial. JMIR Serious Games 2016;4(2):e10
    CrossRef
  7. Lee S, Ha Y, Jung M, Yang S, Kang W. The Effects of a Mobile Wellness Intervention with Fitbit Use and Goal Setting for Workers. Telemedicine and e-Health 2019;25(11):1115
    CrossRef
  8. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612
    CrossRef
  9. Fakih El Khoury C, Karavetian M, Halfens RJ, Crutzen R, Khoja L, Schols JM. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626
    CrossRef
  10. Matsumoto ME, Wilske GC, Tapia R. Innovative Approaches to Delivering Telehealth. Physical Medicine and Rehabilitation Clinics of North America 2021;32(2):451
    CrossRef
  11. Nelson A, Moses O, Rea B, Morton K, Shih W, Alramadhan F, Singh PN. Pilot Feasibility Study of Incorporating Whole Person Care Health Coaching Into an Employee Wellness Program. Frontiers in Public Health 2021;8
    CrossRef
  12. Vitale E, Vion Génovese V, Allenet B. Les outils numériques au service de l’éducation thérapeutique : leurre ou pertinence ? revue narrative de la littérature. Education Thérapeutique du Patient - Therapeutic Patient Education 2021;13(1):10601
    CrossRef
  13. Jessen S, Mirkovic J, Halvorsen Brendmo E, Solberg Nes L. Evaluating a Strengths-Based mHealth Tool (MyStrengths): Explorative Feasibility Trial. JMIR Formative Research 2021;5(11):e30572
    CrossRef
  14. Ha Y, Lee S, Lee S, Chae Y. The Effectiveness of a mHealth Program Using Wearable Devices and Health Coaching among Bus Drivers for Promoting Physical Activity. Journal of Korean Academy of Community Health Nursing 2022;33(3):332
    CrossRef
  15. Graybeal AJ, Brandner CF, Tinsley GM. Validity and reliability of a mobile digital imaging analysis trained by a four‐compartment model. Journal of Human Nutrition and Dietetics 2023;36(3):905
    CrossRef
  16. Graybeal AJ, Brandner CF, Tinsley GM. Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults. Clinical Nutrition 2022;41(11):2464
    CrossRef