Mobile health and wearables to help manage and prevent diabetes complications
Official title: Study on the Applicability of New Technologies for Diabetes Complication Management Based on Mobile Health and Wearable Devices
Run by Second Xiangya Hospital of Central South University · NCT07129148 · Data updated 2026-11-12
This study tests an AI-based risk model and a smartphone–wearable lifestyle program to help adults with type 2 diabetes see if complications can be predicted and prevented.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 6000 (estimated) |
| Sponsor | Second Xiangya Hospital of Central South University Academic / other |
| Locations | 1 site (Changsha) |
| Status | Recruiting |
| Started | October 1, 2025 |
| Main results expected | October 1, 2026 |
| Study ends | October 1, 2027 |
| Registry record updated | June 1, 2026 |
| Trial ID | NCT07129148 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with type 2 diabetes who are willing to use AI-assisted management and wearable monitoring and complete lifestyle records.
✕Probably not a fit
Patients without access to or comfort with digital health tools or who have conditions excluding participation may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The trial will evaluate whether an AI model using phenotype data, lab results, and wearable device indicators can predict the risk of type 2 diabetes complications. It will also explore whether an intelligent lifestyle intervention delivered through wearables and a smartphone app can prevent or reduce complications. Participants will use AI-assisted management and receive CGM monitoring, a smart bracelet, and the Professor Tang WeChat mini-program as part of the intervention over a 3-month period. The study is led by Second Xiangya Hospital with several collaborating centers in China. It does not specify a parallel control group in the provided details.
Why it matters
Potential benefit: If successful, the program could improve early detection of complications and support personalized lifestyle changes.
How similar studies have gone: AI-driven risk prediction and digital lifestyle interventions have shown potential in related settings, but this exact combination for T2D complication prevention is being explored.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Confirmed diagnosis of Type 2 Diabetes; 2. Aged ≥ 18 years; 3. Able to accept the diabetes management model with AI-assisted management and wearable device monitoring; 4. Able to provide complete lifestyle records, including medical history, medication status, diet, exercise, etc.; 5. Fully understand the purpose, nature, and methods of the study, voluntarily participate in this study, accept a 3-month follow-up, and sign the informed consent form. Exclusion Criteria: 1. Having severe mental illness or language barriers; 2. Suffering from malignant tumors; 3. Pregnant or lactating women; 4. Suspected active infections (such as active pulmonary tuberculosis, pneumonia, etc.); 5. Severe hepatic and renal insufficiency (alanine transaminase and/or aspartate transaminase \> 3 times the upper limit of normal; estimated glomerular filtration rate \< 15 mL/min/1.73 m²); 6. A history of definite major adverse cardiovascular events and/or revascularization and/or intravenous thrombolysis and/or endovascular thrombectomy; 7. Uncontrolled hyperthyroidism or hypothyroidism, pituitary-adrenal dysfunction, or other endocrine diseases; 8. Alcoholism or drug addiction; 9. Receiving insulin therapy; 10. Unable to accept new comprehensive intervention technologies for various reasons (such as personal beliefs, economic factors, etc.).
Where it's running
-
Second Xiangya Hospital of Central South University
Changsha, China Recruiting
Study contacts
- Study coordinator: HouDe Zhou, Prof.
- Email: houdezhou@csu.edu.cn
- Phone: 86-0731-85292223
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Proliverenol for liver fat and insulin resistance in type 2 diabetes
This study tests whether adding Proliverenol to standard diabetes care can improve liver fat and blood sugar control in adults with type 2 diabetes.
-
Whole-Body Vibration Training in Women With Obesity With and Without Type 2 Diabetes
This study tests whether eight weeks of supervised whole-body vibration training changes ankle muscle activity and walking performance in women with obesity, comparing those with and without type 2 diabetes.
-
Safety test of NNC9836-0001 in adults with overweight/obesity or type 2 diabetes
This study tests whether the new medicine NNC9836-0001 is safe and tolerable in adults who are overweight or have type 2 diabetes, compared to placebo.
-
RIGHTEST iFree 2 CGM in Pregnant Women With Diabetes
This study tests the accuracy and safety of the RIGHTEST iFree 2 continuous glucose monitor in pregnant adults with type 1, type 2, or gestational diabetes.
-
EloraTZP for weight loss in adults with overweight/obesity and type 2 diabetes
This trial tests whether a coformulation of eloralintide and tirzepatide helps people with obesity or overweight and type 2 diabetes lose weight compared with tirzepatide alone.
-
Maridebart cafraglutide vs. semaglutide for type 2 diabetes on metformin
This trial tests whether maridebart cafraglutlide is as good as semaglutide at improving blood sugar in adults with type 2 diabetes who take metformin (with or without an SGLT-2 inhibitor).
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.