ClinicalTrials.gov
public full text
Public Domain
Intervention Study on Digital Health Management
The aim of this study is to construct a digital precision intervention system for cardiometabolism disorders based on the characteristics of the Chinese population, focusing on the core components of metabolic syndrome such as hypertension, hyperglycemia, and obesity. Through dynamic monitoring of wearable devices, the individualized risk factors (including genetic predisposition, lifestyle, and psychological factors) of metabolic disorders were systematically analyzed, and dynamic intervention strategies were formulated accordingly. The closed-loop management of "monitor-feedback-optimization" based on the digital platform will provide patients with one-stop metabolic risk assessment and panoramic health management plan, realizing a paradigm shift from "generalized intervention" to "precise regulation". By reducing the abnormal fluctuations of key metabolic indicators such as blood pressure, blood glucose, and blood lipids, the risk of cardiovascular events will eventually be reduced, the long-term quality of life of patients will be improved, and a practical path of "digital therapy" can be promoted for the prevention and control of chronic diseases in China
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Effect of Web-Based Education in Patients With Type 2 Diabetes#853173
- Evaluation of a Mobile Application to Optimize Self-decision on Metabolic Control in Persons With Type 1 Diabetes#1170579
- Automated Structured Education Based on an App and AI in Chinese Patients With Type 1 Diabetes#856013
- Online Education Programme for People With Type 1 Diabetes and Suboptimal Metabolic Control#831883
- Precision Lifestyle Interventions Guided by Continuous Glucose Monitoring: Impact on Glycemic Outcomes in Type 2 Diabetes Mellitus#825947
Record · ID 831182
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive