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基于大数据的全民健身与全民健康深度融合模式研究

Research on the Deep Integration Model of National Fitness and National Health Based on Big Data
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摘要 全民健身作为提升国民体质、促进健康中国建设的重要途径,其重要性日益凸显。大数据以其海量、高速、多样、价值密度低的特点,能够全面捕捉、深度挖掘个体及群体的健康数据,为制定科学的健身计划、评估健康风险、优化健康服务提供强有力的技术支持。因此,探索基于大数据的全民健身与全民健康深度融合模式,对于推动健身服务智能化、健康管理精细化、健康产业发展创新化具有重要意义。对此,本文通过分析全民健身与全民健康现状,在此基础上研究大数据在全民健身与全民健康中的应用潜力,进而探索基于大数据的全民健身与全民健康深度融合模式构建,以期提升全民健身与全民健康的服务效率和质量。 As an important way to improve national physical fitness and promote the construction of a healthy China,the importance of national fitness is becoming increasingly prominent.Big data,with its characteristics of massive,high-speed,diverse,and low value density,can comprehensively capture and deeply mine individual and group health data,providing strong technical support for developing scientific fitness plans,assessing health risks,and optimizing health services.Therefore,exploring the deep integration mode of national fitness and national health based on big data is of great significance for promoting the intelligence of fitness services,the refinement of health manage-ment,and the innovation of the development of the health industry.In this regard,this article analyzes the current situation of national fit-ness and national health,and based on this,studies the potential application of big data in national fitness and national health,and explores the construction of a deep integration model of national fitness and national health based on big data,in order to improve the service effi-ciency and quality of national fitness and national health.
作者 先小平 龙家勇 Xiaoping Xian;Jiayong Long(Chongqing Tongnan Middle School,Chongqing 402660;Southwest University of Political Science and Law,Chongqing 401120)
出处 《教育教学研究前沿》 2024年第4期1-3,共3页
基金 重庆市教委人文社科一般项目(项目编号:21SKGH021)。
关键词 全民健身 全民健康 大数据 national fitness national health big data
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