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

Apps, Mobile, Wearables for Diabetes (371) Use and User Demographics of mHealth (419) Glucose Tracking and Self-Monitoring of Blood Glucose (206) Diabetes Self-Management (608) Patient Experiences with Diabetes Technology (50) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1781) Exercise and Diet Tracking for Diabetes Patients (123) eHealth Literacy / Digital Literacy (553) Demographics of Users, Social & Digital Divide (950) Social Determinants of Health (91)

Published on in Vol 10 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64505, first published .
Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study

Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study

Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study

Authors of this article:

Timothy Bober1, 2 Author Orcid Image ;   Sophia Garvin1, 2 Author Orcid Image ;   Jodi Krall3 Author Orcid Image ;   Margaret Zupa1, 2, 4 Author Orcid Image ;   Carissa Low5 Author Orcid Image ;   Ann-Marie Rosland1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Kimura A, Onozawa S, Ogiwara T, El Ghoch M. Digital Bioimpedance for Physical Activity Detection in Type-2 Diabetes: Quasi-Experimental Validation Study. JMIR Diabetes 2025;10:e83768 View
  2. Aleksandra Banaś , Hubert Bigajski , Szymon Janczarski , Klaudia Kwolek , Wiktoria Laskowska , Maciej Michalik , Aleksandra Owczarska , Marcel Pilarek , Dominika Sarna , Piotr Widera . BEYOND THE DATA: CONTINUOUS GLUCOSE MONITORING (CGM) TECHNOLOGIES, HEALTH EQUITY, AND THE DIGITAL DIVIDE IN DIABETES MANAGEMENT. A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2025;4(4(48)) View