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

Formative Evaluation of Digital Health Interventions (5395) mHealth for Wellness, Behavior Change and Prevention (4341) Wearable Devices and Sensors (1662) Prevention and Health Promotion (2312)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42087, first published .
Person checking smartwatch and smartphone outdoors

Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study

Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study

Authors of this article:

Jaeyoung Ha1 Author Orcid Image ;   Jungmi Park1 Author Orcid Image ;   Sangyi Lee1 Author Orcid Image ;   Jeong Lee2 Author Orcid Image ;   Jin-Young Choi1 Author Orcid Image ;   Junhyoung Kim1 Author Orcid Image ;   Sung-il Cho1, 3 Author Orcid Image ;   Gyeong-Suk Jeon4 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

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  3. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024;9(4):912 View
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  5. He G, He W, Qiao F. Rise of wearable fitness devices (WFD): Effects of health technician and health consultant affordances on health-promoting behavior in China. DIGITAL HEALTH 2025;11 View
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  1. Wang C, Han C, Sun J, Fang T. 2026 IEEE International Conference on Consumer Electronics (ICCE). AbSound: Wearable Abdominal Sound Monitoring Enhances the Quality of Life of Patients Undergoing Dialysis View