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

mHealth for Wellness, Behavior Change and Prevention (3095) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1566) Depression and Mood Disorders; Suicide Prevention (1514) Apps, Mobile, Wearables for Diabetes (332) Diabetes Self-Management (530)

Published on in Vol 5, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8910, first published .
The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial

The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial

The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial

Authors of this article:

Charlene C Quinn1 Author Orcid Image ;   Krystal K Swasey1 Author Orcid Image ;   J Christopher F Crabbe2 Author Orcid Image ;   Michelle D Shardell1 Author Orcid Image ;   Michael L Terrin1 Author Orcid Image ;   Erik A Barr1 Author Orcid Image ;   Ann L Gruber-Baldini1 Author Orcid Image
Article Authors Cited by (19) Tweetations (6) Metrics

Journals

  1. Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79 View
  2. Boucher E, Moskowitz J, Kackloudis G, Stafford J, Kwok I, Parks A. Immediate and Long-Term Effects of an 8-Week Digital Mental Health Intervention on Adults With Poorly Managed Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(8):e18578 View
  3. Quinn C, Swasey K, Torain J, Shardell M, Terrin M, Barr E, Gruber-Baldini A. An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis. JMIR mHealth and uHealth 2018;6(10):e10776 View
  4. Zhang Z, Li F, Zhang H, Miao Z, Wei Y, Wang L, Zhang S. Development and Testing of a Mobile Phone App for Risk Estimation of Gas Volume Expansion and Intraocular Pressure Elevation in Patients With Intravitreous Gas or Air Tamponade: Interobserver Assessment Study. JMIR mHealth and uHealth 2019;7(6):e14592 View
  5. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271 View
  6. Ganju A, Goulart A, Ray A, Majumdar A, Jeffers B, Llamosa G, Cañizares H, Ramos-Cañizares I, Fadhil I, Subramaniam K, Lim L, El Bizri L, Ramesh M, Guilford M, Ali R, Devi R, Malik R, Potkar S, Wang Y. <p>Systemic Solutions for Addressing Non-Communicable Diseases in Low- and Middle-Income Countries</p>. Journal of Multidisciplinary Healthcare 2020;Volume 13:693 View
  7. Turner R, Ma Q, Lorig K, Greenberg J, DeVries A. Evaluation of a Diabetes Self-Management Program: Claims Analysis on Comorbid Illnesses, Health Care Utilization, and Cost. Journal of Medical Internet Research 2018;20(6):e207 View
  8. Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971 View
  9. Wang J, Barth J, Göttgens I, Emchi K, Pach D, Oertelt-Prigione S. An opportunity for patient-centered care: Results from a secondary analysis of sex- and gender-based data in mobile health trials for chronic medical conditions. Maturitas 2020;138:1 View
  10. Wasserman R, Eshtehardi S, Anderson B, Weissberg-Benchell J, Hilliard M. Profiles of Depressive Symptoms and Diabetes Distress in Preadolescents With Type 1 Diabetes. Canadian Journal of Diabetes 2021;45(5):436 View
  11. Martin M, Patterson J, Allison M, O’Connor B, Patel D. The Influence of Baseline Hemoglobin A1c on Digital Health Coaching Outcomes in Adults With Type 2 Diabetes: Real-World Retrospective Cohort Study. JMIR Diabetes 2021;6(2):e24981 View
  12. Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1) View
  13. Hangaard S, Kronborg T, Hejlesen O, Aradóttir T, Kaas A, Bengtsson H, Vestergaard P, Jensen M. The Diabetes teleMonitoring of patients in insulin Therapy (DiaMonT) trial: study protocol for a randomized controlled trial. Trials 2022;23(1) View
  14. Smits M, Kim C, van Goor H, Ludden G. From Digital Health to Digital Well-being: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(4):e33787 View
  15. Tavares Franquez R, Del Grossi Moura M, Cristina Ferreira McClung D, Barberato-Filho S, Cruz Lopes L, Silva M, de Sá Del-Fiol F, de Cássia Bergamaschi C. E-Health technologies for treatment of depression, anxiety and emotional distress in person with diabetes mellitus: A systematic review and meta-analysis. Diabetes Research and Clinical Practice 2023;203:110854 View
  16. Abd El Kader A, Ibrahim M, Mohamed H, Osman B. Diabetes Distress and Self-Care Activities Among Patients With Diabetes Type II: A Correlation Study. SAGE Open Nursing 2023;9 View
  17. Fernández-Rodríguez R, Zhao L, Bizzozero-Peroni B, Martínez-Vizcaíno V, Mesas A, Wittert G, Heilbronn L. Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis. Telemedicine and e-Health 2024;30(4):919 View
  18. Li M, Liu S, Yu B, Li N, Lyu A, Yang H, He H, Zhang N, Ma J, Sun M, Du H, Gao R. Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis. Journal of Medical Internet Research 2025;27:e63209 View

Books/Policy Documents

  1. Hoogendoorn C, Shapira A, Roy J, Kane N, Gonzalez J. Behavioral Diabetes. View