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

eHealth Literacy / Digital Literacy (433) Demographics of Users, Social & Digital Divide (805) Information Retrieval (319) Information Seeking, Information Needs (515)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47595, first published .
Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study

Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study

Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study

Authors of this article:

Wen Jiao1 Author Orcid Image ;   Angela Chang2, 3 Author Orcid Image ;   Mary Ho4 Author Orcid Image ;   Qianfeng Lu4 Author Orcid Image ;   Matthew Tingchi Liu5 Author Orcid Image ;   Peter Johannes Schulz3, 4, 6 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Journals

  1. Jiao W. Older Adults’ Exposure to Food Media Induced Unhealthy Eating during the COVID-19 Omicron Lockdown? Exploring Negative Emotions and Associated Literacy and Efficacy on Shanghainese. Foods 2024;13(12):1797 View
  2. Patel M, Villalobos F, Shan K, Tardo L, Horton L, Sguigna P, Blackburn K, Munoz S, Moog T, Smith A, Burgess K, McCreary M, Okuda D. Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?. Multiple Sclerosis and Related Disorders 2024;90:105791 View
  3. Xian X, Chang A, Xiang Y, Liu M. Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review. Interactive Journal of Medical Research 2024;13:e53672 View
  4. Băjenaru O, Băjenaru L, Ianculescu M, Constantin V, Gușatu A, Nuță C. Geriatric Healthcare Supported by Decision-Making Tools Integrated into Digital Health Solutions. Electronics 2024;13(17):3440 View
  5. Jiao W, Schulz P, Chang A. Addressing the role of eHealth literacy in shaping popular attitudes towards post-COVID-19 vaccination among Chinese adults. Humanities and Social Sciences Communications 2024;11(1) View
  6. Xu Y, Wang M, Bao L, Cheng Z, Li X. A cross-sectional study based on the Comprehensive Model of Information seeking: which factors influence health information-seeking behavior in patients with periodontitis. BMC Oral Health 2024;24(1) View
  7. Bunjak A, Cerne M, Philip J, Trkman P. Comparing the roles of creativity and digital nativity in predicting general and IT innovativeness. Information Technology & People 2024 View
  8. Khubchandani S, Raman R. Insights into Gen Z online food ordering behavior: leveraging eye-tracking and AI for cognitive analysis. Benchmarking: An International Journal 2025 View
  9. Li Y, Ma M, Hao Z, Xu F, Liu J. What motivates the impulsive travel intentions of Generation Z? A study based on grounded theory and fsQCA. Current Issues in Tourism 2025:1 View
  10. Taba M, Ayre J, McCaffery K, Vassilenko D, Ma I, Haynes T, Leask J, Wilson A, Bonner C. Co‐Designing a Framework for Social Media Health Communication to Young People: A Participatory Research Study. Health Expectations 2025;28(2) View
  11. Puiu S, Udriștioiu M, Zăvăleanu M. A multivariate analysis of the impact of knowledge and relationships on perceptions about aging among generation Z—a starting point for public health strategies. Frontiers in Public Health 2025;13 View