Research on Some Key Technologies of Health Management Cloud Model for Obese Children Based on Social Ecology Theory

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Abstract

This research is aimed at building a new health service model for childhood obesity based on data processing by cloud computing, to effectively utilize existing resources to provide fair, accessible, systematic, and continuous health services for children with obesity. Through the questionnaire, expert interview, and building cloud platform, this research involves cloud computing technology, pushing notification about exercises and nutrition prescriptions, smart wearable devices, exercise monitoring and feedback, Internet technology, social-ecological platform, as well as technology for social-ecological intervention in childhood obesity, realized through deep integration of big data and health file storage. Furthermore, with qualitative research on the demand for social-ecological intervention in childhood obesity-related health service, this research redefines the roles of different players, establishes a cloud service platform, and comes up with an innovative service model. Against the background of the development of modern information technology, this research proposes to change the management mode for sports intervention; apply modern information technology such as big data, cloud technology, and electronic medical testing equipment; integrate resources from family, community, and school; optimize management service process; and explore a practical, efficient, and integrated health management system for obese children, to provide continuous, active, and full-range health management services for obese children, which is an effective way to improve the compliance and effect of exercise intervention for obese children and materialize a lasting mechanism of health management for obese children.

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APA

Zhang, L. F., & Zhou, L. (2022). Research on Some Key Technologies of Health Management Cloud Model for Obese Children Based on Social Ecology Theory. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/9920470

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