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ORIGINAL RESEARCH article
Front. Digit. Health
Sec. Human Factors and Digital Health
Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1497549
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Mobile health management service systems have rapidly emerged in today's digital age, providing a new way to manage personal health with great potential value. This study deeply explores the use behavior and influencing factors of mobile health management service systems for flight attendants in the context of the "Digital age". Methods: The study mainly adopted the questionnaire survey method, used SPSS24.0 and AMOS24.0 software for data analysis, and used statistical methods such as factor analysis, regression analysis, and path analysis to verify the effectiveness of the model and explore the relationship between key variables. Results: 1) The usage rate of the health management service system among flight attendants is not as high as expected, but the use rate of sports health monitoring applications reached 66.5%, and the daily frequency of use was as high as 25.52%, 2) Perceived ease of use and perceived usefulness have a positive and significant impact on intention to use, 3) Privacy concerns have a positive impact on intention to use Significant negative impact. Conclusion: The study points out that ease of use and usefulness are key factors in attracting flight attendants to use mobile health management service systems.System designers need to pay attention to this aspect. Flight attendants have a strong sense of privacy protection, and the system must provide a strong privacy protection mechanism to win trust.Therefore, system developers should strive to provide practical value, such as health advice and data tracking, to stimulate user enthusiasm. In addition, this article has certain limitations in the study of sample selection and the discussion of mediating relationships. Future research can be further improved in this regard.【Keywords】 Digital age; flight attendants; mobile health management services; usage behavior
Keywords: Digital age, flight attendants, mobile health management services, Usage behavior, structural equation model
Received: 23 Nov 2024; Accepted: 31 Mar 2025.
Copyright: © 2025 LIU and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
YUTING LIU, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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