{"title":"Research on the Application of Sports Health Management Platforms in the Precise Analysis and Intervention of Medical Data","authors":"Min Zhang, Qingzhen Zhang","doi":"10.1016/j.amepre.2025.107892","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>This study aims to investigate the application of exercise health management platforms in the precise analysis and intervention of medical data.</div></div><div><h3>Method</h3><div>Multidimensional health data from diverse populations were collected, including physiological indicators, exercise habits, nutritional intake, and lifestyle information. Utilizing machine learning and statistical analysis methods, feature extraction was conducted to identify key factors associated with health risks, and predictive models were constructed to assess individual health status and potential risks.</div></div><div><h3>Results</h3><div>The exercise health management platform demonstrates significant advantages in data integration and analysis. Through real-time monitoring of users’ health data, the platform is capable of promptly identifying health risks and providing targeted intervention recommendations. Following the use of this platform, users experienced an average reduction of 3.5% in body mass index (BMI), a 12% improvement in cardiopulmonary function test scores, and a 15% enhancement in mental health ratings. In terms of chronic disease management, diabetic patients exhibited notable improvements in blood glucose control, with an average decrease of 1.2 percentage points in HbA1c levels, while the blood pressure control rate among hypertensive patients increased by 20%. Additionally, the platform developed personalized exercise plans and nutritional guidance tailored to users of different age groups and health conditions.</div></div><div><h3>Discussion</h3><div>The exercise health management platform facilitates real-time monitoring and assessment of individual health status through precise analysis. It shows promising applications in chronic disease management, health monitoring for the elderly, and interventions for special populations, effectively reducing healthcare costs and improving the accessibility and efficiency of health services.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"69 2","pages":"Article 107892"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Preventive Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0749379725003836","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
This study aims to investigate the application of exercise health management platforms in the precise analysis and intervention of medical data.
Method
Multidimensional health data from diverse populations were collected, including physiological indicators, exercise habits, nutritional intake, and lifestyle information. Utilizing machine learning and statistical analysis methods, feature extraction was conducted to identify key factors associated with health risks, and predictive models were constructed to assess individual health status and potential risks.
Results
The exercise health management platform demonstrates significant advantages in data integration and analysis. Through real-time monitoring of users’ health data, the platform is capable of promptly identifying health risks and providing targeted intervention recommendations. Following the use of this platform, users experienced an average reduction of 3.5% in body mass index (BMI), a 12% improvement in cardiopulmonary function test scores, and a 15% enhancement in mental health ratings. In terms of chronic disease management, diabetic patients exhibited notable improvements in blood glucose control, with an average decrease of 1.2 percentage points in HbA1c levels, while the blood pressure control rate among hypertensive patients increased by 20%. Additionally, the platform developed personalized exercise plans and nutritional guidance tailored to users of different age groups and health conditions.
Discussion
The exercise health management platform facilitates real-time monitoring and assessment of individual health status through precise analysis. It shows promising applications in chronic disease management, health monitoring for the elderly, and interventions for special populations, effectively reducing healthcare costs and improving the accessibility and efficiency of health services.
期刊介绍:
The American Journal of Preventive Medicine is the official journal of the American College of Preventive Medicine and the Association for Prevention Teaching and Research. It publishes articles in the areas of prevention research, teaching, practice and policy. Original research is published on interventions aimed at the prevention of chronic and acute disease and the promotion of individual and community health.
Of particular emphasis are papers that address the primary and secondary prevention of important clinical, behavioral and public health issues such as injury and violence, infectious disease, women''s health, smoking, sedentary behaviors and physical activity, nutrition, diabetes, obesity, and substance use disorders. Papers also address educational initiatives aimed at improving the ability of health professionals to provide effective clinical prevention and public health services. Papers on health services research pertinent to prevention and public health are also published. The journal also publishes official policy statements from the two co-sponsoring organizations, review articles, media reviews, and editorials. Finally, the journal periodically publishes supplements and special theme issues devoted to areas of current interest to the prevention community.