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

mHealth for Wellness, Behavior Change and Prevention (2922) Web-based and Mobile Health Interventions (3357)

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

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

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

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

Authors of this article:

Steven Willey1 Author Orcid Image ;   James K Walsh2 Author Orcid Image
Article Authors Cited by (17) Tweetations (12) Metrics

Journals

  1. Schembre S, Liao Y, Robertson M, Dunton G, Kerr J, Haffey M, Burnett T, Basen-Engquist K, Hicklen R. 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 View
  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 View
  3. Comello M, Qian X, Deal A, Ribisl K, Linnan L, Tate D. Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program. Journal of Medical Internet Research 2016;18(9):e237 View
  4. Villinger K, Wahl D, Boeing H, Schupp H, 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 View
  5. Mao A, Chen C, Magana C, Caballero Barajas K, Olayiwola J. 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 View
  6. Blackburne T, Rodriguez A, Johnstone S. A Serious Game to Increase Healthy Food Consumption in Overweight or Obese Adults: Randomized Controlled Trial. JMIR Serious Games 2016;4(2):e10 View
  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 View
  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 View
  9. Fakih El Khoury C, Karavetian M, Halfens R, Crutzen R, Khoja L, Schols J. 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 View
  10. Matsumoto M, Wilske G, Tapia R. Innovative Approaches to Delivering Telehealth. Physical Medicine and Rehabilitation Clinics of North America 2021;32(2):451 View
  11. Nelson A, Moses O, Rea B, Morton K, Shih W, Alramadhan F, Singh P. Pilot Feasibility Study of Incorporating Whole Person Care Health Coaching Into an Employee Wellness Program. Frontiers in Public Health 2021;8 View
  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 View
  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 View
  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 View
  15. Graybeal A, Brandner C, Tinsley G. 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 View
  16. Graybeal A, Brandner C, Tinsley G. 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 View
  17. Abe M, Hirata T, Morito N, Kawashima M, Yoshida S, Takami Y, Fujimoto T, Kawasoe S, Shibukawa T, Segawa H, Yamanokuchi T, Ishida S, Takahashi K, Tada K, Kato Y, Sakima A, Arima H. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research 2024 View