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
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
300
The lifestyle intervention was carried out through the bracelet, Little Assistant and Keyhealth APP for 24 weeks, and the daily data synchronization of the APP and weekly AI feedback were performed. After 24 weeks, blood glucose, blood lipid, blood pressure, CAI and other indicators were monitored.
Department of Cardiology,Shanghai Tenth People's Hospital
Shanghai, Shanghai Municipality, China
Changes in diastolic blood pressure after 24 weeks
Time frame: 24 weeks following intervention
Values for changes in Hba1c or BMI or CAI after 24 weeks
Time frame: 24 weeks following intervention
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