The Suzy Study: Preventing the onset of Type II Diabetes
The “Suzy Study” aims to prove that Food-as-Medicine is an effective therapy for treating and preventing Type 2 Diabetes (T2D) and that the Food for Health App facilitates behavioral change and adoption of healthy food options. This clinical study focuses on the App, developed to address the global health crisis of prediabetes (PD) and T2D.
Study Background
With an estimated 860M prediabetics worldwide in 2021, projected to reach 1.2B by 2025, effective intervention is crucial. The App utilizes a patented “Efficacy Engine®” system that computes food efficacy across multiple comorbidities and wellness goals based on peer-reviewed clinical studies.
App Functionality
Users input their medical conditions, specifications, and biometric data, then scan food barcodes for each product to receive a Go or No rating. The App provides healthier options and generates detailed reports for users to share with healthcare providers.
Clinical Trial Design
The proposed study will evaluate the App’s effectiveness in improving health outcomes for PDs and T2Ds: Participants: 500 subjects Duration: 4 months (1-month baseline, 3-month treatment) Intervention: App-guided dietary and behavioral changes Support: Weekly coaching sessions with registered dieticians Measurements: Body weight, blood glucose levels, insulin resistance, glycosylated markers
Potential Impact
The App addresses the ineffectiveness of current food labeling systems in reversing the increasing incidence of PD, T2D, and related conditions. Providing personalized, evidence-based recommendations empowers consumers to make healthier food choices and manage their health more effectively.
When successful, this study can demonstrate the App’s ability to: 1. Lessen the incidence of PD 2. Delay or prevent progression from PD to T2D 3. Help T2Ds achieve partial or complete remission
This innovative approach to food selection and health management has the potential to make a significant impact on the global diabetes epidemic.