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Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes
Using Wearable Devices to Track Lifestyle and Predict Blood Sugar Control in People with Normal or Slightly High Blood Sugar
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Abstract
36 healthy adults were monitored for their lifestyles and glucose levels, resulting in 231,206 continuous glucose monitoring readings.
- Eating timing is associated with high blood sugar levels, muscle insulin resistance, and issues with hormone regulation related to glucose.
- Increased physical activity timing showed varying benefits for glucose control among individuals with different metabolic responses.
- Machine learning models using lifestyle factors could predict specific metabolic characteristics related to insulin resistance and hormone dysfunction.
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