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

Wearables and MHealth Reviews (281) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1555) Diabetes Self-Management (527)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15400, first published .
Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Authors of this article:

Youfa Wang1, 2 Author Orcid Image ;   Jungwon Min1, 3 Author Orcid Image ;   Jacob Khuri4 Author Orcid Image ;   Hong Xue5 Author Orcid Image ;   Bo Xie6, 7 Author Orcid Image ;   Leonard A Kaminsky1 Author Orcid Image ;   Lawrence J Cheskin8, 9 Author Orcid Image
Article Authors Cited by (138) Tweetations (12) Metrics

Journals

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  94. Kaneyasu Y, Shigeishi H, Sugiyama M, Ohta K. Effectiveness of e-learning to promote oral health education: A systematic review and meta-analysis. Medicine 2023;102(51):e36550 View
  95. 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
  96. Chen Z, Siegel L, Prutzman Y, Wiseman K. Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART. Internet Interventions 2024;35:100714 View
  97. Duh-Leong C, Messito M, Katzow M, Kim C, Mendelsohn A, Scott M, Gross R. Prenatal and Pediatric Primary Care-Based Child Obesity Prevention: Effects of Adverse Social Determinants of Health on Intervention Attendance and Impact. Childhood Obesity 2024;20(7):476 View
  98. Tacke T, Nohl-Deryk P, Lingwal N, Reimer L, Starnecker F, Güthlin C, Gerlach F, Schunkert H, Jonas S, Müller A. The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease. DIGITAL HEALTH 2024;10 View
  99. Porri D, Morabito L, Cavallaro P, La Rosa E, Li Pomi A, Pepe G, Wasniewska M. Time to act on childhood obesity: the use of technology. Frontiers in Pediatrics 2024;12 View
  100. Ramisetty-Mikler S, Willis A, Tiwari C. Pre-pregnancy Weight and Racial-Ethnic Disparities in Pregnancy-Associated Conditions in the State of Georgia: A Population-Based Study. Journal of Racial and Ethnic Health Disparities 2025;12(2):956 View
  101. Tokuda Y, Sonoda K, Tokuda H, Tomono M, Ando S. Usefulness of a Standalone Smartphone App for Weight Management among Middle-Aged People with Overweight/Obesity. Journal of Consumer Health on the Internet 2024;28(1):15 View
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  104. Huntriss R, Salimgaraev R, Nikogosov D, Powell J, Varady K. The effectiveness of mobile app usage in facilitating weight loss: An observational study. Obesity Science & Practice 2024;10(3) View
  105. Commodore-Mensah Y, Chen Y, Ogungbe O, Liu X, Metlock F, Carson K, Echouffo-Tcheugui J, Ibe C, Crews D, Cooper L, Himmelfarb C. Design and rationale of the cardiometabolic health program linked with community health workers and mobile health telemonitoring to reduce health disparities (LINKED-HEARTS) program. American Heart Journal 2024;275:9 View
  106. Burton W, Padgett L, Nixon N, Ells L, Drew K, Brown T, Bakhai C, Radley D, Homer C, Marwood J, Dhir P, Bryant M. Transferability of the NHS low‐calorie diet programme: A qualitative exploration of factors influencing the programme's transfer ahead of wide‐scale adoption. Diabetic Medicine 2024;41(10) View
  107. Lehmann M, Jones L, Schirmann F. App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data. Journal of Medical Internet Research 2024;26:e45469 View
  108. Zhang P, Tao X, Ma Y, Zhang Y, Ma X, Song H, Liu Y, Patel A, Jan S, Peiris D. Improving the management of type 2 diabetes in China using a multifaceted digital health intervention in primary health care: the SMARTDiabetes cluster randomised controlled trial. The Lancet Regional Health - Western Pacific 2024;49:101130 View
  109. Dsouza S, Venne J, Shetty S, Brand H. Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study. Diabetology & Metabolic Syndrome 2024;16(1) View
  110. Liu M, Wu X, Li Z, Tan D, Huang C. Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2024;12:e53805 View
  111. Cheng Y, Lin C, Chen L, Hwang W, Lin Y, Chen Y. Short-Term Effects of an eHealth Care Experiential Learning Program Among Patients With Type 2 Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e53509 View
  112. Ranjan P, Vikram N, Kumari A, Chopra S, Choranur A, Pradeep Y, Puri M, Malhotra A, Ahuja M, Meeta , Batra A, Balsarkar G, Goswami D, Guleria K, Sarkar S, Kachhawa G, Verma A, Kumari M, Madan J, Dabral A, Kamath S, Rathore A, Kumar R, Venkataraman S, Kaloiya G, Bhatla N, Kumari S, Baitha U, Prakash A, Tiwaskar M, Tewary K, Misra A, Guleria R. Evidence and consensus-based clinical practice guidelines for management of overweight and obesity in midlife women: An AIIMS-DST initiative. Journal of Family Medicine and Primary Care 2022;11(12):7549 View
  113. Lu X, Xie Q, Pan X, Zhang R, Zhang X, Peng G, Zhang Y, Shen S, Tong N. Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy. Signal Transduction and Targeted Therapy 2024;9(1) View
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  116. Leung M, Mateo K, Dublin M, Harrison L, Verdaguer S, Wyka K. Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Racial and Ethnic Minority Preadolescents: Randomized Controlled Trial. JMIR Formative Research 2025;9:e58460 View
  117. Wyche S, Olson D, Karanu M, Omondi E, Olonyo M. Limitations of Using Mobile Phones for Managing Type 1 Diabetes (T1D) Among Youth in Low and Middle-Income Countries: Implications for mHealth. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
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  119. Kim G, Shim M. The effectiveness of an obesity management program using a mobile application and social media for military personnel with obesity. Journal of Military, Veteran and Family Health 2024;10(5):89 View
  120. JI X, CHI J. Exploring the Relationship Between eHealth Literacy and Diabetes Knowledge, Self-Efficacy, and Self-Care Behaviors in Chinese Diabetic Patients: A Cross-Sectional Study. Journal of Nursing Research 2024 View
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Books/Policy Documents

  1. Van Stee S. The International Encyclopedia of Health Communication. View
  2. Kernebeck S, Busse T, Vollmar H. E-Health-Ökonomie II. View
  3. Efeoglu E, Tuna A. Impact and Role of Digital Technologies in Adolescent Lives. View
  4. Rapoff M, Duncan C, Karlson C. Adherence to Pediatric Medical Regimens. View
  5. Bergoeing M, Neyem A, Jofré P, Hernández C, Chacón J, Morales R, Giddings M. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View

Conference Proceedings

  1. Zholdas N, Mansurova M, Sarsembayev M, Postolache O, Shomanov A, Sarsembayeva T. 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Application of mHealth Technologies to Improve Self-Control of Children and Adolescents with Type 1 Diabetes View