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

Use and User Demographics of mHealth (437) Mobile Health (mhealth) (3732) mHealth for Wellness, Behavior Change and Prevention (3476) Behavior Change (922) Prevention and Health Promotion (1524)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71625, first published .
Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

Authors of this article:

Shao-Hsuan Chang1, 2 Author Orcid Image ;   Lung-Kun Yeh2, 3 Author Orcid Image ;   Daishi Chen4 Author Orcid Image ;   Kae-Kuen Hu5 Author Orcid Image ;   Mei-Ching Yu6 Author Orcid Image ;   Ching-Mao Chang7, 8 Author Orcid Image
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Journals

  1. Shokr E. Effectiveness of artificial intelligence mobile app-guided prevention and treatment protocols on cancer patients and their impact on healthcare workers’ competence. BMC Medical Informatics and Decision Making 2026;26(1) View