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

Formative Evaluation of Digital Health Interventions (2520) mHealth for Wellness, Behavior Change and Prevention (2932) Wearable Devices and Sensors (912) Prevention and Health Promotion (1024)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42087, first published .
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

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 (4) Tweetations Metrics

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  2. Alanzi T, Alzahrani W, Almoraikhi ‏, Algannas ‏, Alghamdi M, Alzahrani ‏, Abutaleb R, Ba Dughaish ‏, Alotibi N, Alkhalifah S, Alshehri ‏, Alzahrani H, Almahdi ‏, Alanzi N, Farhah ‏. Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study. Cureus 2023 View
  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
  4. Min H, Li J, Di M, Huang S, Sun X, Li T, Wu Y. Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM. Frontiers in Public Health 2024;12 View