The topic of diet and physical activity are of great importance in the treatment of T2D. In the daily routine of a practice or clinic, a doctor has an average of eight minutes per patient, leaving little time for lifestyle issues (Irving et al. 2017). An individualised procedure requires more time and therefore more resources. Currently, an app can be programmed with evidence-based information so that it provides appropriate personalised behavioural recommendations via machine learning. The user gets direct feedback and can make a behavioural change himself. On the one hand, this approach allows better use of doctor-patient time and, on the other hand, the patient learns through positive reinforcement in such a way that his or her behaviour change is supported and reinforced in the longer term and potentially sustainably. The aim of this intervention pilot study within the scope of the EU-Horizon 2020 project is to investigate lifestyle support through a mobile app and wearables to improve lifestyle (personalised nutrition) and important metabolic outcomes in patients with type 2 diabetes or prediabetes. In addition, exploratory genetic and microbiome data will be explored to answer the question of personalisation of the recommendations.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Improvement of Time In Range (TIR) by 5%
Timeframe: 12 Weeks
Improve eating behavior towards healthier choices
Timeframe: 12 Weeks