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

Use and User Demographics of mHealth (344) mHealth for Wellness, Behavior Change and Prevention (2922) Behavior Change (723)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/6490, first published .
What Drives Young Vietnamese to Use Mobile Health Innovations? Implications for Health Communication and Behavioral Interventions

What Drives Young Vietnamese to Use Mobile Health Innovations? Implications for Health Communication and Behavioral Interventions

What Drives Young Vietnamese to Use Mobile Health Innovations? Implications for Health Communication and Behavioral Interventions

Authors of this article:

Bach Xuan Tran1, 2 Author Orcid Image ;   Melvyn WB Zhang3 Author Orcid Image ;   Huong Thi Le1 Author Orcid Image ;   Hinh Duc Nguyen1 Author Orcid Image ;   Long Hoang Nguyen4 Author Orcid Image ;   Quyen Le Thi Nguyen5 Author Orcid Image ;   Tho Dinh Tran6 Author Orcid Image ;   Carl A Latkin2 Author Orcid Image ;   Roger CM Ho7 Author Orcid Image
Article Authors Cited by (24) Tweetations (4) Metrics

Journals

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  8. Marques G, Drissi N, Díez I, de Abajo B, Ouhbi S. Impact of COVID-19 on the psychological health of university students in Spain and their attitudes toward Mobile mental health solutions. International Journal of Medical Informatics 2021;147:104369 View
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  11. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  12. Nguyen H, Tran K, Doan P, Nguyen T. Demand for Mobile Health in Developing Countries During COVID-19: Vietnamese’s Perspectives from Different Age Groups and Health Conditions. Patient Preference and Adherence 2022;Volume 16:265 View
  13. Xin T, Li X, Lei-Shen , Ding W, Wei-Liu , Ning-Chen . The relationship between adolescent risk perception and emotions during the COVID-19: a short-term longitudinal study. Current Psychology 2023;42(23):20091 View
  14. Sun M, Jiang L. Linking social features of fitness apps with physical activity among Chinese users: Evidence from self-reported and self-tracked behavioral data. Information Processing & Management 2022;59(6):103096 View
  15. Rohila J, Kapoor K, Singh J, Rohilla R, Bansal P, Chhabra P. Online medical teaching during COVID-19. Journal of Education and Health Promotion 2022;11(1):247 View
  16. Listernick Z, Badawy S. Mental Health Implications of the COVID-19 Pandemic Among Children and Adolescents: What Do We Know so Far?. Pediatric Health, Medicine and Therapeutics 2021;Volume 12:543 View
  17. Ho T, Nguyen B, Nguyen N. Academic stress and depression among vietnamese adolescents: a moderated mediation model of life satisfaction and resilience. Current Psychology 2023;42(31):27217 View
  18. Phan T, Chau B, Do H, Vu T, Vu K, Nguyen H, Nguyen D, Do H, Nguyen N, La L, Dam V, Nguyen H, Nguyen L, Do A, Vu T, Vu Le M, Vu G, Le L, Latkin C, Ho C, Ho R. Determinants of mental health among youths and adolescents in the digital era: Roles of cyber and traditional bullying, violence, loneliness, and environment factors. Frontiers in Public Health 2022;10 View
  19. Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth 2022;10(12):e40340 View
  20. Li A, Aimaganbetova O, Baktybayev Z, Koishibayeva M, Makhmutov A, Murzagulova M. Using modern technologies for prevention of suicidal behavior among adolescents. Social Work in Mental Health 2024;22(1):73 View
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  22. Auva’a-Alatimu T, Alefaio-Tugia S, Ioane J. Understanding the impact of digital therapeutic engagement in promoting mental wellbeing for Pacific youth in Aotearoa New Zealand: an exploration of the literature. International Journal of Mental Health Systems 2024;18(1) View
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