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Innovative Approaches in Diabetes Care

RECRUITINGN/ASponsored by Taipei Medical University
Actively Recruiting
PhaseN/A
SponsorTaipei Medical University
Started2022-10-19
Est. completion2025-10-01
Eligibility
Age20 Years+
Healthy vol.Accepted

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

Age: 20 Years+Healthy volunteers accepted
Inclusion Criteria:

1. 20 years old or older
2. Pre-diabetes or diabetes
3. Taiwan nationality or fluent in Mandarin or Taiwanese
4. Not pregnant or breastfeeding
5. Capable (or assisted by a caregiver) of using a smartphone to photograph and record meals

Exclusion Criteria:

1. Eating disorders
2. Undergoing treatment for severe illnesses that could affect normal dietary intake (e.g., cancer)
3. Unable to use a smartphone to take photos and record food intake.

Conditions4

AI-supported Real-time Dietary FeedbackDiabetesM-healthType 2 Diabetes

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