Innovative Approaches in Diabetes Care

Condition(s) studied

Investigational drug(s) / intervention(s)

Real-Time Personalized Dietary Feedback (via AI and Nutritionist): * Behavioral: "3D/AR MetaFood" Portion Size and Nutrition Education * Behavioral: Nutrition and Physical Activity Educational Videos

conventional nutrition education by dietitian: The participants receive conventional health and nutrition education from state registered dietitian.

Study summary

In Taiwan, an estimated 2.3 million individuals have diabetes, with a 44% increase observed among young adults and adolescents. Poor dietary habits and sedentary lifestyles are major risk factors for type 2 diabetes. The widespread use of smartphones has facilitated the development of digital health technologies, including digital food photography and artificial intelligence (AI), which show promise for personalized nutrition care and health promotion. While such technologies have demonstrated short-term success in diabetes management, their long-term effectiveness remains uncertain.

This study aims to evaluate the effectiveness of a digital eHealth care intervention for individuals with diabetes. Participants will be recruited from the Diabetes Shared Care Network and community care centers in Taiwan and followed for 12 months. Eligible participants will be randomly assigned by computer to either a control or an eHealth care group.

• eHealth Group: Receives a 10-minute digital nutrition education session using the lab-developed "3D/AR MetaFood food portion education platform" (https://sketchfab.com/susanlab108/collections) and is required to submit weekly dietary records through food images using the "Formosa FoodAPP." Participants will receive immediate dietary feedback from nutritionists, followed by AI-generated personalized feedback on the glycemic index (GI) and glycemic load (GL) of their meals. They will also be provided with educational videos on healthy eating, physical activity, and selecting low-GI/GL foods.

Anthropometric measurements and baseline questionnaires will be collected at enrollment. Blood biochemistry, including HbA1c, will be measured at baseline, and at 3, 6, 9, and 12 months. Collected food image data will be used to train AI systems for real-time dietary feedback and to explore the relationship between nutrient intake and long-term glycemic control.

Eligibility

Primary outcome measure(s)

• HbA1c — baseline, 3 month, 6 month, 9 month, 12 month
  the change of HbA1c
• Fasting glucose — baseline, 3 month, 6 month, 9 month, 12 month
  the change of Fasting glucose

Trial sites (1)

More Taipei Medical University trials in Taiwan

Other trials for the same condition