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

mHealth for Wellness, Behavior Change and Prevention (2743) Innovations and Technology for Healthy Eating Education (400) Innovations and Technology for Physical Activity Education (702) Behavior Change (653)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14817, first published .
Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial

Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial

Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial

Authors of this article:

Meelim Kim1, 2 Author Orcid Image ;   Youngin Kim3, 4 Author Orcid Image ;   Yoonjeong Go1 Author Orcid Image ;   Seokoh Lee1 Author Orcid Image ;   Myeongjin Na2 Author Orcid Image ;   Younghee Lee1 Author Orcid Image ;   Sungwon Choi2 Author Orcid Image ;   Hyung Jin Choi1 Author Orcid Image
Article Authors Cited by (24) Tweetations (4) Metrics

Journals

  1. Kim M, Choi H. Digital Therapeutics for Obesity and Eating-Related Problems. Endocrinology and Metabolism 2021;36(2):220 View
  2. Kim M, Yang J, Ahn W, Choi H. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218 View
  3. Keyvani E, Bolghan-Abadi M. The effectiveness of acceptance and commitment therapy on improving self-concept, depression, and anxiety in obese women. International Archives of Health Sciences 2021;8(2):79 View
  4. McCallum M, Ho A, May C, Behr H, Mitchell E, Michealides A. Body Positivity and Self-Compassion on a Publicly Available Behavior Change Weight Management Program. International Journal of Environmental Research and Public Health 2021;18(24):13358 View
  5. Richards R, Jones R, Whittle F, Hughes C, Hill A, Lawlor E, Bostock J, Bates S, Breeze P, Brennan A, Thomas C, Stubbings M, Woolston J, Griffin S, Ahern A. Development of a Web-Based, Guided Self-help, Acceptance and Commitment Therapy–Based Intervention for Weight Loss Maintenance: Evidence-, Theory-, and Person-Based Approach. JMIR Formative Research 2022;6(1):e31801 View
  6. Ju H, Kang E, Kim Y, Ko H, Cho B. The Effectiveness of a Mobile Health Care App and Human Coaching Program in Primary Care Clinics: Pilot Multicenter Real-World Study. JMIR mHealth and uHealth 2022;10(5):e34531 View
  7. Hariguna T, Rahardja U, Sarmini . The Role of E-Government Ambidexterity as the Impact of Current Technology and Public Value: An Empirical Study. Informatics 2022;9(3):67 View
  8. Chew H, Lau S, Lau Y. Weight‐loss interventions for improving emotional eating among adults with high body mass index: A systematic review with meta‐analysis and meta‐regression. European Eating Disorders Review 2022;30(4):304 View
  9. Carrera A, Zoccarato F, Mazzeo M, Lettieri E, Toletti G, Bertoli S, Castelnuovo G, Fresa E. What drives patients’ acceptance of Digital Therapeutics? Establishing a new framework to measure the interplay between rational and institutional factors. BMC Health Services Research 2023;23(1) View
  10. Kim S, Rhee S, Lee S. Effectiveness of Information and Communications Technology-Based Interventions for Obesity and Metabolic Syndrome. Journal of Obesity & Metabolic Syndrome 2022;31(3):201 View
  11. Chew H, Rajasegaran N, Chin Y, Chew W, Kim K. Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e42432 View
  12. Kim K, Haam J, Kim B, Kim E, Park J, Rhee S, Jeon E, Kang E, Nam G, Koo H, Lim J, Jeong J, Kim J, Kim J, Park J, Hong J, Lee S, Min S, Kim S, Kim S, Kim Y, Lee Y, Cho Y, Rhie Y, Kim Y, Kang J, Lee C. Evaluation and Treatment of Obesity and Its Comorbidities: 2022 Update of Clinical Practice Guidelines for Obesity by the Korean Society for the Study of Obesity. Journal of Obesity & Metabolic Syndrome 2023;32(1):1 View
  13. Schladitz K, Luppa M, Riedel-Heller S, Loebner M. Effectiveness of internet-based and mobile-based interventions for adults with overweight or obesity experiencing symptoms of depression: a systematic review protocol. BMJ Open 2023;13(6):e067930 View
  14. Mitchell E, Fabry A, Ho A, May C, Baldwin M, Blanco P, Smith K, Michaelides A, Shokoohi M, West M, Gotera K, El Massad O, Zhou A. The Impact of a Digital Weight Loss Intervention on Health Care Resource Utilization and Costs Compared Between Users and Nonusers With Overweight and Obesity: Retrospective Analysis Study. JMIR mHealth and uHealth 2023;11:e47473 View
  15. Geiger S, Steinbach J, Skoda E, Jahre L, Rentrop V, Kocol D, Jansen C, Schüren L, Niedergethmann M, Teufel M, Bäuerle A. Needs and Demands for e-Mental Health Interventions in Individuals with Overweight and Obesity: User-Centred Design Approach. Obesity Facts 2023;16(2):173 View
  16. Castelnuovo G, Capodaglio P, De Amicis R, Gilardini L, Mambrini S, Pietrabissa G, Cavaggioni L, Piazzolla G, Galeone C, Garavaglia G, Bertoli S. Study protocol of a clinical randomized controlled trial on the efficacy of an innovative Digital thErapy to proMote wEighT loss in patients with obesity by incReasing their Adherence to treatment: the DEMETRA study. Frontiers in Digital Health 2023;5 View
  17. Kim M, Lee S, Cho E, Hong K, You S, Choi H. CETP and APOA2 polymorphisms are associated with weight loss and healthy eating behavior changes in response to digital lifestyle modifications. Scientific Reports 2023;13(1) View
  18. Lee H, Choi E, Shin J, Kim T, Oh J, Shin B, Sim J, Shin J, Kim M. The Impact of Intervention Design on User Engagement in Digital Therapeutics Research: Factorial Experiment With a Mixed Methods Study. JMIR Formative Research 2024;8:e51225 View
  19. Kim M, Patrick K, Nebeker C, Godino J, Stein S, Klasnja P, Perski O, Viglione C, Coleman A, Hekler E. The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring. Journal of Medical Internet Research 2024;26:e49208 View
  20. Cha J, Kim S, Lim Y, Choi K, Shin I. Comparative Effectiveness of Cognitive Behavioral Therapy and Behavioral Therapy in Obesity: A Systematic Review and Network Meta-Analysis. Journal of Clinical Psychology in Medical Settings 2024 View
  21. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  22. Kocol D, Bäuerle A, Schadendorf T, Geiger S, Krakowczyk J, Skoda E, Teufel M. Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials. Frontiers in Psychiatry 2024;15 View
  23. Jansen C, Bäuerle A, Jahre L, Kocol D, Krakowczyk J, Geiger S, Dörrie N, Skoda E, Teufel M. Needs and Demands for e-Health Interventions in Patients Attending a Psychosomatic Outpatient Clinic: A Baseline Assessment for a User-Centered Design Approach. Telemedicine and e-Health 2024;30(6):e1747 View
  24. Hrehová L, Mezian K. Non­‑pharmacological approaches for therapy of insomnia in adults. Psychiatrie pro praxi 2024;25(1):16 View