Residential College | false |
Status | 已發表Published |
Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study | |
Jiao, Wen1; Chang, Angela2,3; Ho, Mary4; Lu, Qianfeng4; Liu, Matthew Tingchi5; Schulz, Peter Johannes3,4,6 | |
2023-10-30 | |
Source Publication | Journal of Medical Internet Research |
ISSN | 1438-8871 |
Volume | 25Pages:e47595 |
Abstract | Background: Generation Z (born 1995-2010) members are digital residents who use technology and the internet more frequently than any previous generation to learn about their health. They are increasingly moving away from conventional methods of seeking health information as technology advances quickly and becomes more widely available, resulting in a more digitalized health care system. Similar to all groups, Generation Z has specific health care requirements and preferences, and their use of technology influences how they look for health information. However, they have often been overlooked in scholarly research. Objective: First, we aimed to identify the information-seeking preferences of older individuals and Generation Z (those between the ages of 18 and 26 years); second, we aimed to predict the effects of digital health literacy and health empowerment in both groups. We also aimed to identify factors that impact how both groups engage in digital health and remain in control of their own health. Methods: The Health Information National Trends Survey was adopted for further use in 2022. We analyzed 1862 valid data points by conducting a survey among Chinese respondents to address the research gap. A descriptive analysis, 2-tailed t test, and multiple linear regression were applied to the results. Results: When compared with previous generations, Generation Z respondents (995/1862, 53.44%) were more likely to use the internet to find out about health-related topics, whereas earlier generations relied more on traditional media and interpersonal contact. Web-based information-seeking behavior is predicted by digital health literacy (Generation Z: β=.192, P<.001; older population: β=.337, P<.001). While this was happening, only seeking health information from physicians positively predicted health empowerment (Generation Z: β=.070, P=.002; older population: β=.089, P<.001). Despite more frequent use of the internet to learn about their health, Generation Z showed lower levels of health empowerment and less desire to look for health information, overall. Conclusions: This study examined and compared the health information–seeking behaviors of Generation Z and older individuals to improve their digital health literacy and health empowerment. The 2 groups demonstrated distinct preferences regarding their choice of information sources. Health empowerment and digital health literacy were both significantly related to information-seeking behaviors. |
Keyword | Digital Health Literacy Digitally Savvy Generation z Health Empowerment Health Information Seeking |
DOI | 10.2196/47595 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Health Care Sciences & Services ; Medical Informatics |
WOS Subject | Health Care Sciences & Services ; Medical Informatics |
WOS ID | WOS:001106812100001 |
Publisher | JMIR PUBLICATIONS, INC, 130 QUEENS QUAY East, Unit 1100, TORONTO, ON M5A 0P6, CANADA |
Scopus ID | 2-s2.0-85175586107 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Corresponding Author | Chang, Angela |
Affiliation | 1.School of Communication, Soochow University, Suzhou, China 2.Department of Communication, Faculty of Social Sciences, University of Macau, Macao 3.Institute of Communication and Health, University of Lugano, Lugano, Switzerland 4.Faculty of Communication, Culture and Society, University of Lugano, Lugano, Switzerland 5.Faculty of Business and Administration, University of Macau, Macao 6.Department of Communications and Media, Ewha Womans University, Seoul, South Korea |
Corresponding Author Affilication | Faculty of Social Sciences |
Recommended Citation GB/T 7714 | Jiao, Wen,Chang, Angela,Ho, Mary,et al. Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study[J]. Journal of Medical Internet Research, 2023, 25, e47595. |
APA | Jiao, Wen., Chang, Angela., Ho, Mary., Lu, Qianfeng., Liu, Matthew Tingchi., & Schulz, Peter Johannes (2023). Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research, 25, e47595. |
MLA | Jiao, Wen,et al."Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study".Journal of Medical Internet Research 25(2023):e47595. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment