Smartwatch study aims to predict prediabetes before it starts
NCT ID NCT06195566
First seen May 08, 2026 · Last updated May 08, 2026
Summary
This study tested a new computer algorithm that uses data from wearable devices (like fitness trackers and continuous glucose monitors) to predict a person's real-time risk of developing prediabetes. Researchers collected health and lifestyle information from 77 overweight or mildly obese adults over 4 months. The goal was to improve early detection and help people take action before blood sugar problems begin.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Locations
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University of Latvia, Faculty of Medicine
Riga, Latvia
Conditions
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