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

Digital Health Reviews (3826) Demographics of Users, Social & Digital Divide (1325) eHealth Literacy / Digital Literacy (921) Diabetes (351)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77788, first published .
Person holding glucose meter near laptop showing telehealth doctor and phone app

eHealth Literacy and Type 2 Diabetes Prevention Among At-Risk Populations: Mechanistic Systematic Review Using Theory-Driven Thematic Analysis

eHealth Literacy and Type 2 Diabetes Prevention Among At-Risk Populations: Mechanistic Systematic Review Using Theory-Driven Thematic Analysis

Authors of this article:

Jingyi Li1, 2 Author Orcid Image ;   Arina Anis Azlan1, 3 Author Orcid Image ;   Nurzihan Hassim1 Author Orcid Image ;   Yuan Wang1, 4 Author Orcid Image ;   Ruina Guo1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Sun W, Xie D, Hou W, Zhang M, Wang C, Wang Z, Yang H, Xu G, Dai H. Behavior change pathways by which digital wearable devices support exercise self-management in type 2 diabetes: a scoping review with machine learning–assisted text mining. Frontiers in Public Health 2026;14 View
  2. Chen C, Wang G, Zhang Z, Wang Z, Qian D. Digital health literacy, proactive health behaviours, the digital healthcare environment and health-related quality of life among older adults with type 2 diabetes in Chinese primary care: a cross-sectional study. BMJ Open 2026;16(10):e120615 View