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

mHealth for Wellness, Behavior Change and Prevention (2743) Mobile Health (mhealth) (2765)

Published on in Vol 3, No 3 (2015): Jul-Sep

The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial

The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial

The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial

Authors of this article:

Bumjo Oh1 Author Orcid Image ;   Belong Cho2, 3, 4 Author Orcid Image ;   Min Kyu Han2 Author Orcid Image ;   Hochun Choi2 Author Orcid Image ;   Mi Na Lee5 Author Orcid Image ;   Hee-Cheol Kang5 Author Orcid Image ;   Chang Hee Lee6 Author Orcid Image ;   Heeseong Yun6 Author Orcid Image ;   Youngho Kim6 Author Orcid Image
Article Authors Cited by (46) Tweetations (13) Metrics

Journals

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  5. Gilmore L, Klempel M, Martin C, Myers C, Burton J, Sutton E, Redman L. Personalized Mobile Health Intervention for Health and Weight Loss in Postpartum Women Receiving Women, Infants, and Children Benefit: A Randomized Controlled Pilot Study. Journal of Women's Health 2017;26(7):719 View
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  8. Shin D, Joh H, Yun J, Kwon H, Lee H, Min H, Shin J, Chung W, Park J, Cho B. Design and baseline characteristics of participants in the Enhancing Physical Activity and Reducing Obesity through Smartcare and Financial Incentives (EPAROSFI): A pilot randomized controlled trial. Contemporary Clinical Trials 2016;47:115 View
  9. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75 View
  10. 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
  11. Rahman A, Jahan Y, Fahad H. Impact of mHealth service: An understanding of TreCLifeStyle mobile app in Trentino province, Italy. International Journal of Healthcare Management 2020;13(sup1):480 View
  12. Ospina-Pinillos L, Davenport T, Iorfino F, Tickell A, Cross S, Scott E, Hickie I. Using New and Innovative Technologies to Assess Clinical Stage in Early Intervention Youth Mental Health Services: Evaluation Study. Journal of Medical Internet Research 2018;20(9):e259 View
  13. Abedtash H, Holden R. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002 View
  14. Oh B, Yi G, Han M, Kim J, Lee C, Cho B, Kang H. Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e2 View
  15. Toro-Ramos T, Lee D, Kim Y, Michaelides A, Oh T, Kim K, Jang H, Lim S. Effectiveness of a Smartphone Application for the Management of Metabolic Syndrome Components Focusing on Weight Loss: A Preliminary Study. Metabolic Syndrome and Related Disorders 2017;15(9):465 View
  16. Rahman A, Jahan Y. Childhood Weight Management: the Development and Refinement of an mHealth Intervention in Primary Care. Journal of Technology in Behavioral Science 2019;4(4):309 View
  17. Kim Y, Oh B, Shin H. Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e13273 View
  18. Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, Fernandez-Rodriguez R, del Saz Lara A, Cavero-Redondo I. Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(8):e17790 View
  19. Han M, Cho B, Kwon H, Son K, Lee H, Lee J, Park J. A Mobile-Based Comprehensive Weight Reduction Program for the Workplace (Health-On): Development and Pilot Study. JMIR mHealth and uHealth 2019;7(11):e11158 View
  20. Lee C, Cheung B, Yi G, Oh B, Oh Y. Mobile health, physical activity, and obesity. Medicine 2018;97(38):e12309 View
  21. Wong E, Leung D, Wang Q, Leung A. A nurse—led lifestyle intervention using mobile application versus booklet for adults with metabolic syndrome—Protocol for a randomized controlled trial. Journal of Advanced Nursing 2020;76(1):364 View
  22. Silva T, Pérez Á, Calvo J, Bailador G, Cinelli G, Kudrautseva O, Lobstein T, Olmo A. The DAPHNE Project. Procedia Computer Science 2016;98:388 View
  23. Yang Q, Van Stee S. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244 View
  24. Yang Y, Wang C, Wang J, Lin C, Yang Y, Wang J, Yang Y, Yang Y. The Effects of an Activity Promotion System on active living in overweight subjects with metabolic abnormalities. Obesity Research & Clinical Practice 2017;11(6):718 View
  25. Kim G, Lee J, Lee S. A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(2):512 View
  26. Chen D, Ye Z, Shao J, Tang L, Zhang H, Wang X, Qiu R, Zhang Q. Effect of electronic health interventions on metabolic syndrome: a systematic review and meta-analysis. BMJ Open 2020;10(10):e036927 View
  27. Wong E, Leung D, Tam H, Wang Q, Yeung K, Leung A. The Effect of a Lifestyle Intervention Program Using a Mobile Application for Adults with Metabolic Syndrome, versus the Effect of a Program Using a Booklet: A Pilot Randomized Controlled Trial. Clinical Interventions in Aging 2021;Volume 16:633 View
  28. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1) View
  29. Qin Y, Wang X, Namkoong K. A meta-analysis of the overall effect of mHealth physical activity interventions for weight loss and the moderating effect of behavioral change theories, techniques, and mobile technologies. Mobile Media & Communication 2022;10(2):337 View
  30. Shi Y, Wakaba K, Kiyohara K, Hayashi F, Tsushita K, Nakata Y. Effectiveness and Components of Web-Based Interventions on Weight Changes in Adults Who Were Overweight and Obese: A Systematic Review with Meta-Analyses. Nutrients 2022;15(1):179 View
  31. Balakrishnan P, Owen E, Eberl M, Friedrich B, Etter T. A retrospective real-world observational pilot analysis of Waya: a self-monitoring fitness app in Germany. Cardiovascular Endocrinology & Metabolism 2022;11(3) View
  32. Ang S, Chen J, Liew J, Johal J, Dan Y, Allman-Farinelli M, Lim S. Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(11):e28185 View
  33. Liu D, Zhong J, Ruan Y, Zhang Z, Sun J, Chen H. The association between fat-to-muscle ratio and metabolic disorders in type 2 diabetes. Diabetology & Metabolic Syndrome 2021;13(1) View
  34. Yepes M, Maurer J, Viswanathan B, Gedeon J, Bovet P. Potential Reach of mHealth Versus Traditional Mass Media for Prevention of Chronic Diseases: Evidence From a Nationally Representative Survey in a Middle-Income Country in Africa. Journal of Medical Internet Research 2016;18(5):e114 View
  35. Lee J, Lee K, Kim H, Youk H, Lee H. Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices. Diagnostics 2022;12(7):1730 View
  36. Char A, Gaudel P, Kulathinal S, Kinnunen T. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181 View
  37. Wong E, Leung D, Wang Q, Leung A, Cheung A. The effect of a lifestyle intervention program using a mobile application versus the effect of a program using a booklet for adults with metabolic syndrome: A three‐arm randomized controlled trial. Journal of Nursing Scholarship 2023;55(5):936 View
  38. Fang Y, Lee J, Wu N, Chang C, Huang M, Lee C, Huang J, Lee G, Chen C. Effect of a novel telehealth device for dietary cognitive behavioral intervention in overweight or obesity care. Scientific Reports 2023;13(1) View
  39. Chen D, Shao J, Zhang H, Wu J, Xue E, Guo P, Tang L, Cui N, Wang X, Chen L, Ye Z. Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome. Annals of Medicine 2023;55(2) View
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  41. Chen D, Zhang H, Wu J, Xue E, Guo P, Tang L, Shao J, Cui N, Wang X, Chen L, Ye Z. Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e49257 View
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Books/Policy Documents

  1. Leung A, Xu X, Wong E. Encyclopedia of Gerontology and Population Aging. View
  2. Markowitsch H, Schreier M. Reframing der Bedürfnisse. View
  3. Huapaya D, Marin D, Mauricio D. Advances and Applications in Computer Science, Electronics and Industrial Engineering. View
  4. Leung A, Xu X, Wong E. Encyclopedia of Gerontology and Population Aging. View