Published on in Vol 7, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14458, first published .
Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study

Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study

Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study

Journals

  1. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  2. Cueto V, Sanders L. Telehealth Opportunities and Challenges for Managing Pediatric Obesity. Pediatric Clinics of North America 2020;67(4):647 View
  3. Wang C, Liu T, Car J, Zuckerman B. Design, Adoption, Implementation, Scalability, and Sustainability of Telehealth Programs. Pediatric Clinics of North America 2020;67(4):675 View
  4. Staiano A, Shanley J, Kihm H, Hawkins K, Self-Brown S, Höchsmann C, Osborne M, LeBlanc M, Apolzan J, Martin C. Digital Tools to Support Family-Based Weight Management for Children: Mixed Methods Pilot and Feasibility Study. JMIR Pediatrics and Parenting 2021;4(1):e24714 View
  5. Vitolo M. The Kurbo App: The Freemium Model and Developmental Behavior Concerns. Comment on “Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study”. JMIR mHealth and uHealth 2021;9(2):e17492 View
  6. Tekkeşin A, Hayıroğlu M, Çinier G, Özdemir Y, İnan D, Yüksel G, Pay L, Parsova K, Vatanoğlu E, Şeker M, Durak F, Gürkan K. Lifestyle intervention using mobile technology and smart devices in patients with high cardiovascular risk: A pragmatic randomised clinical trial. Atherosclerosis 2021;319:21 View
  7. Di Figlia-Peck S, Feinstein R, Fisher M. Treatment of children and adolescents who are overweight or obese. Current Problems in Pediatric and Adolescent Health Care 2020;50(9):100871 View
  8. Padró‐Arocas A, Quifer‐Rada P, Aguilar‐Camprubí L, Mena‐Tudela D. Description of an mHealth tool for breastfeeding support: LactApp. Analysis of how lactating mothers seek support at critical breastfeeding points and according to their infant's age. Research in Nursing & Health 2021;44(1):173 View
  9. Moorman E, Koskela-Staples N, Mathai B, Fedele D, Janicke D. Pediatric Obesity Treatment via Telehealth: Current Evidence and Future Directions. Current Obesity Reports 2021;10(3):371 View
  10. 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
  11. Jelalian E, Darling K, Foster G, Runyan T, Cardel M. Effectiveness of a Scalable mHealth Intervention for Children With Overweight and Obesity. Childhood Obesity 2023;19(8):552 View
  12. Karataş N, Kaya A, İşler Dalgıç A. The effectiveness of user-focused mobile health applications in paediatric chronic disease management: A systematic review. Journal of Pediatric Nursing 2022;63:e149 View
  13. Cabral D, Santos V, Pereira O, Silva M, Pascual-Leone A, Rundek T, Loewenstein D, Kirk-Sanchez N, Oliveira A, Gomes-Osman J. Feasibility and Preliminary Efficacy of a Multimodal Approach to Increase Physical Activity in Older Adults With Memory Complaints: The Education for Action Study. Journal of Aging and Physical Activity 2022;30(2):204 View
  14. Vorland C, Bohan Brown M, Cardel M, Brown A. Traffic Light Diets for Childhood Obesity: Disambiguation of Terms and Critical Review of Application, Food Categorization, and Strength of Evidence. Current Developments in Nutrition 2022;6(3):nzac006 View
  15. Kustiawan T, Nadhiroh S, Ramli R, Butryee C. Use of mobile app to monitoring growth outcome of children: A systematic literature review. DIGITAL HEALTH 2022;8:205520762211386 View
  16. Chew C, Davis C, Lim J, Lim C, Tan Y, Oh J, Rajasegaran K, Chia Y, Finkelstein E. Use of a Mobile Lifestyle Intervention App as an Early Intervention for Adolescents With Obesity: Single-Cohort Study. Journal of Medical Internet Research 2021;23(9):e20520 View
  17. Likhitweerawong N, Boonchooduang N, Kittisakmontri K, Chonchaiya W, Louthrenoo O. Effectiveness of mobile application on changing weight, healthy eating habits, and quality of life in children and adolescents with obesity: a randomized controlled trial. BMC Pediatrics 2021;21(1) View
  18. Chai L, Farletti R, Fathi L, Littlewood R. A Rapid Review of the Impact of Family-Based Digital Interventions for Obesity Prevention and Treatment on Obesity-Related Outcomes in Primary School-Aged Children. Nutrients 2022;14(22):4837 View
  19. Cáceres N, Yu Q, Lauzon M, Diniz M, Tuckerman R, Carrillo A, Philipp M, Foster G, Seitz A, Salvy S. Supplementing a widely available weight loss program with gamified inhibitory control training: A randomized pilot study. Obesity Science & Practice 2022;8(6):775 View
  20. Arthurs N, Tully L, O’Malley G, Browne S. Usability and Engagement Testing of mHealth Apps in Paediatric Obesity: A Narrative Review of Current Literature. International Journal of Environmental Research and Public Health 2022;19(3):1453 View
  21. Milne-Ives M, Homer S, Andrade J, Meinert E. Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review. Frontiers in Psychology 2023;14 View
  22. Boo S, Oh H. Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea. Frontiers in Public Health 2023;11 View
  23. Chin G, Chow K. Technology-Enabled Interventions for Sustaining Behaviour Change in Adolescents: A Scoping Review for Research Gaps. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  24. Thorén A, Filipsson T, Englund E, Sandström O, Janson A, Silfverdal S. Significant effects of childhood obesity treatment with a web‐based component in a randomised controlled study (Web‐COP). Acta Paediatrica 2024;113(2):276 View
  25. Button A, Staiano A, Beyl R, Stein R, Newton R, Baker A, Lima A, Lindros J, Conn A, Welch R, Cook S, Wilfley D. Validation of remote child weight and height measurements within a weight management trial. Obesity 2024;32(4):660 View
  26. Shaw Jr G, Castro B, Gunn L, Norris K, Thorpe Jr R. The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data. JMIR mHealth and uHealth 2024;12:e46656 View
  27. Whitehead L, Robinson S, Arabiat D, Jenkins M, Morelius E. The Report of Access and Engagement With Digital Health Interventions Among Children and Young People: Systematic Review. JMIR Pediatrics and Parenting 2024;7:e44199 View
  28. Bardis G, Koumpouros Y, Sideris N, Troussas C. A Multi-Modal IoT Framework for Healthy Nutritional Choices in Everyday Childhood Life. Electronics 2024;13(11):2086 View

Books/Policy Documents

  1. Soltero E, Szeszulski J, Knell G, Franklin E, Martino S. Managing Pediatric Obesity Using Advanced Therapies. View