R73.0 E11
Conditions
Interventions
Group 1: Data will be collected in 3 time points:
T0
T0+2months
T0+4moths
The data collected will include: CGMs, fitness tracker, macronutirent data, IL-6, Il-2, IL-10, leptin, VO2 peak, feces sampl
Sponsors
Medizinische Universität Graz
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: ? Family history of type 2 diabetes (First or second degree relatives) ? Normal weight individuals (BMI 18.5-24.9) ? Signed informed consent for participation ? Ownership of a smartphone running Android or iOS
Exclusion criteria
Exclusion criteria: ? Non-compliance ? Ongoing treatment with immunosuppressive and/or anti-inflammatory medications (NSAIDs, glucocorticoids, chemotherapy, biologicals.) ? Ongoing treatment with glucose lowering drugs, except if anti-diabetic medication has not been stopped - for metformin one month, for GLP-1 RA, tirzepatide - two months prior enrolment ? Presence of autoimmune and/or inflammatory disease. ? Skin conditions hindering application of continuous glucose monitoring systems ? Diabetes or prediabetes as diagnosed by ADA/WHO criteria according to fasting glucose and HbA1c ? Factors otherwise limiting the participation in the study according to the judgement of the investigator ? Pregnancy or intention to get pregnant during the study timeline.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The aim of the study is to generate real-life data for training a machine learning model | — |
Countries
Austria
Contacts
Public ContactJulia Mader
Medizinische Universität Graz
Outcome results
None listed