Personalized Nutrition In ChildrenGlucose, High BloodDiet Habit
Study summary
Investigating glucose response to Mediterranean and regular diets in healthy children in order to develop specific pediatric machine-learning for predicting the personalized glucose response to food for individual children.
The prediction will be based on multiple measurements, including blood tests, personal lifestyle and gut microbiome. This will allow investigators to design personalized Mediterranean machine-learning-based diets which may potentially reduce the burden of disease in adulthood as well as the burden of obesity in the pediatric age.
Eligibility
Sex
ALL
Min age
6 Years
Max age
11 Years
Healthy volunteers
Accepted
Inclusion Criteria:
* Healthy children
* 6-11 years of age
* Tanner 1
• Exclusion criteria:
* Acute disease 2 months prior to enrollment
* Chronic illness in the past 5 years, including inflammatory, metabolic, neoplastic, congenital and infectious disease.
* Use of medications (e.g. Antibiotics/antifungal, PPI, analgesics) and any antibiotics 3 months prior to the first visit, PPI one month prior to the beginning of the study or use of medication during the study.
* Treatment with anti-diabetic medications;
* Neuro-psychiatric disorders
* Cancer and recent anticancer treatment
* Eating disorders (Anorexia nervosa. Bulimia nervosa. Binge eating disorder, Night eating syndrome).
* Inability of the participant and/or nuclear family to follow and utilize the smartphone application.
* Dietary restrictions or specific dietary regimen
Primary outcome measure(s)
Postprandial glycemic response — 1-3 years Continuous glucose monitor
Trial sites (1)
Facility
City
Region
Status
Weizmann Institute of Science
Rehovot
Israel
More Weizmann Institute of Science trials in Israel
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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