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This study is an interventional research. Through scientific evaluation, it explores the effect of precise lifestyle intervention based on CGM data on the control of chronic type 2 diabetes mellitus. By formulating a safe and effective precise lifestyle intervention plan, lifestyle medicine is integrated into the management of chronic diseases. Through multidimensional evaluations, it is expected to improve patients' self-management ability and provide a reference for the development of chronic diabetes management.
Internationally, significant breakthroughs have been made in diabetes research. The 'Standards of Care in Diabetes-2024' released by the ADA has shifted treatment goals from solely lowering blood glucose to comprehensive control of blood sugar, protecting target organs, reducing complications, and improving the overall prognosis for diabetes patients. It also emphasizes the importance of medical care providers mastering new technologies, such as using artificial intelligence for retinal screening and making necessary referrals, adopting telemedicine and digital tools for diabetes self-management education, personalized guidance, and the chronic disease management model is increasingly maturing. In China, diabetes management models include hospital management, community management,'hospital-community integration', and information technology-assisted management, etc. They face issues such as inconsistent standards and low efficiency. At the same time, they tend to focus more on the control of physical and chemical indicators, while lacking sufficient attention to the related symptoms, quality of life, and psychological state of diabetes patients.
This study is an interventional research.With the main purpose of 'exploring the impact of precise lifestyle interventions based on CGM data on blood glucose control in T2DM patients', this study aims to scientifically evaluate the effects of precise lifestyle interventions based on CGM data on chronic disease control in type2 diabetes diabetes mellitus. By formulating a safe and effective precise lifestyle intervention plan, lifestyle medicine is integrated into the management of chronic diseases. Through multidimensional evaluations, such as target management, lifestyle intervention, dietary intervention, exercise therapy, mental health, monitoring of diabetes-susceptible genes, and intervention of gut microbiota gene detection, it is expected to improve patients' self-management ability and provide a reference for the development of chronic diabetes management.
The purpose is to enhance patients' self-management capabilities, improve the quality of primary healthcare services, assist medical staff in developing and refining personalized treatment plans, reduce the incidence of diabetes complications, enhance patients' quality of life and life expectancy, promote scientific progress in the field of diabetes management, and effectively address the challenges of chronic diseases in an aging society.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Precision Lifestyle Intervention (PLI) group | Experimental |
| |
| Health Education (HE) group | No Intervention |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Precision Lifestyle Intervention (PLI) group | Behavioral |
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| Measure | Description | Time Frame |
|---|---|---|
| Glycosylated hemoglobin/ HbA1c | It reflects average blood glucose levels over the past 2-3 months and is used to diagnose and monitor diabetes management and will be done 3 times at every assessment session and the median value will be recorded. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| fasting blood glucose/FBG | Fasting blood glucose measures blood sugar levels after an 8-hour fast and is primarily used to diagnose diabetes or prediabetes. The measurements will be done 3 times at every assessment session and the median value will be recorded. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| Measure | Description | Time Frame |
|---|---|---|
| Total Cholesterol/TC | TC (Total Cholesterol) measures the total concentration of cholesterol in the blood, including LDL, HDL, and triglycerides, and is used to evaluate cardiovascular health, lipid metabolism status and guide lipid management. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| Triglycerides/TG |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| tongtong zhang Principal Investigator | Contact | 086-13840113609 | hzhangtongtong@163.com |
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TG (Triglycerides) measures the level of triglycerides in the blood and is used to evaluate cardiovascular risk, metabolic disorders, or abnormalities in lipid metabolism. |
| Time Frame:On the 0th, 28th, and 90th days of the trial. |
| Blood Pressure/BP | BP (Blood Pressure)measures the pressure exerted by blood on arterial walls during heart contractions (systolic) and relaxations (diastolic), and is used to assess cardiovascular health, hypertension, or hypotension. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| urinalysis/UA | A urinalysis analyzes the physical, chemical, and microscopic properties of a urine sample to detect abnormalities and help diagnose conditions such as urinary tract infections, kidney disorders, or metabolic diseases. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| Diabetic Retinopathy Screening (DRS) via Fundus Photography | Fundus photography is a non-invasive imaging method that captures high-resolution images of the retina, optic disc, and blood vessels. It is utilized to evaluate the presence and severity of diabetic retinopathy (e.g., microaneurysms, hemorrhages, neovascularization) and monitor diabetes-related ocular complications.The assessment will be performed once at each session, with results documented for analysis.Retinal Image Biomarker Analysis is about to get digits like Retinal vessel diameter,Retinal vessel tortuosity,Retinal vascular fractal dimension,Retinal vessel bifurcation patterns, etc.These microvascular metrics will be analyzed to evaluate diabetes-induced alterations in retinal microcirculation, providing objective biomarkers for early microvascular dysfunction and disease progression monitoring. All parameters will be measured using validated automated image analysis software. | Time Frame:On the 0th, 28th, and 90th days of the trial. |
| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| ID | Term |
|---|---|
| D044382 | Population Groups |
| ID | Term |
|---|---|
| D003710 | Demography |
| D011154 | Population Characteristics |
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