Tests phone and wearable tools for managing type 2 diabetes complications
Tests a phone app and wearable devices in adults with type 2 diabetes.
Plain-language title generated from the registry record
Registry title: Mobile Health and Wearable Devices for Diabetes Complication Management
Key facts
- Where
- Changsha, ChinaSee the site
Where in China
- Second Xiangya Hospital of Central South UniversityChangsha, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Second Xiangya Hospital of Central South University
- Trial code
- NCT07129148
- Record updated
- 1 June 2026
- Original description
The value of intelligent lifestyle intervention for T2D and its complications has been initially explored, but evidence-based support for the effectiveness of related AI risk prediction models and intervention models remains to be confirmed. The primary objective of this study is to verify the effectiveness of an AI model for predicting the risk of T2D complications based on phenotype, laboratory indicators and wearable device indicators, and to explore the effect and applicability of an intelligent lifestyle intervention model combining wearable devices and smartphones in preventing T2D complications.Read full original descriptionShow less
Study on the Applicability of New Technologies for Diabetes Complication Management Based on Mobile Health and Wearable Devices
The value of intelligent lifestyle intervention for T2D and its complications has been initially explored, but evidence-based support for the effectiveness of related AI risk prediction models and intervention models remains to be confirmed. The primary objective of this study is to verify the effectiveness of an AI model for predicting the risk of T2D complications based on phenotype, laboratory indicators and wearable device indicators, and to explore the effect and applicability of an intelligent lifestyle intervention model combining wearable devices and smartphones in preventing T2D complications.
Inclusion: Confirmed diagnosis of Type 2 Diabetes; Aged ≥ 18 years; Able to accept the diabetes management model with AI-assisted management and wearable device monitoring; Able to provide complete lifestyle records, including medical history, medication status, diet, exercise, etc; 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: Alcoholism or drug addiction; Receiving insulin therapy; Having severe mental illness or language barriers; Suffering from malignant tumors; Suspected active infections (such as active pulmonary tuberculosis, pneumonia, etc.); A history of definite major adverse cardiovascular events and/or revascularization and/or intravenous thrombolysis and/or endovascular thrombectomy; Uncontrolled hyperthyroidism or hypothyroidism, pituitary-adrenal dysfunction, or other endocrine diseases; 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); Pregnant or lactating women; Unable to accept new comprehensive intervention technologies for various reasons (such as personal beliefs, economic factors, etc.).