Accessibility settings

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

Exercise and Diet Tracking for Diabetes Patients (126) Diabetes Self-Management (624) Apps, Mobile, Wearables for Diabetes (377) Instruments and Questionnaires for Nutrition and Food Intake (226) Innovations and Technology for Healthy Eating Education (509)

Published on in Vol 6, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28930, first published .
Abbreviated Dietary Self-monitoring for Type 2 Diabetes Management: Mixed Methods Feasibility Study

Abbreviated Dietary Self-monitoring for Type 2 Diabetes Management: Mixed Methods Feasibility Study

Abbreviated Dietary Self-monitoring for Type 2 Diabetes Management: Mixed Methods Feasibility Study

Authors of this article:

Kelli Marie Richardson1 Author Orcid Image ;   Gloria Cota Aguirre2 Author Orcid Image ;   Rick Weiss3 Author Orcid Image ;   Ali Cinar4 Author Orcid Image ;   Yue Liao5 Author Orcid Image ;   Kari Marano6 Author Orcid Image ;   Arianna R Bedoya6 Author Orcid Image ;   Susan Schembre6 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Ulfa M, Setyonugroho W, Lestari T, Widiasih E, Nguyen Quoc A, Schiavo L. Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring. Journal of Nutrition and Metabolism 2022;2022:1 View
  2. Pai R, Barua S, Kim B, McDonald M, Wierzchowska-McNew R, Pai A, Deutz N, Kerr D, Sabharwal A. Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes. Journal of Diabetes Science and Technology 2026;20(2):365 View
  3. Butryn M, Miller N, Hagerman C, Arigo D, LaFata E, Zhang F, Spring B, Forman E. Coach access to digital self‐monitoring data: an experimental test of short‐term effects in behavioral weight‐loss treatment. Obesity 2024;32(11):2111 View