Abstract
Objectives
Continuous glucose monitoring (CGM) evaluates the frequency with which individuals demonstrate elevations in postprandial glucose, the types of patterns, and how patterns vary between individuals, which is a great opportunity for preventive medicine to provide individual preventive diet / lifestyle recommendations.
Materials and Methods
We have used glucose measurement with Dexcom Continuous Glucose Monitoring (CGM), which is a minimally invasive electrochemical sensor that is inserted below the skin.
With CGM, 14 study participants determined their blood sugar patterns.
Statistically, we calculated the average blood glucose daily for 10 days, the coefficient of variation, the verified time in the range, the fixed low and high blood glucose patterns.
We used a muesli bar with a total carb count of 45 g, mostly starch (adapted starch test); and measured the glycemic response. To determine hunger, we used the hunger analog scale
Results
73% of the participants experienced episodes of hyperglycaemia. (And 3% in the diabetic range).
Another interesting finding was after an adapted starch tolerance test; which revealed different glycemic curves with a similar amount of starch.
We have seen the variation in glucose, which is more noticeable for most participants in cases where carbohydrates are eaten without a source of fat or protein.
Hunger felt stronger when blood sugar began to drop rapidly, not when the blood glucose level was in the ''lowest'' normal range.
Conclusions
CGM turns to a mindful eating approach.
My hypothesis on different glycemic curves with a similar amount of starch - it can be associated with different salivary amylase activities - will be tested further.
Furthermore, interesting was that hunger felt stronger when blood sugar began to drop rapidly. Subjects without persistent hunger tended to have the lowest glycemic variability.
Using CGM data, individual nutritional recommendations can be prepared, which could reduce the coefficient of glucose variation and episodes of hyperglycaemia.
Continuous glucose monitoring (CGM) evaluates the frequency with which individuals demonstrate elevations in postprandial glucose, the types of patterns, and how patterns vary between individuals, which is a great opportunity for preventive medicine to provide individual preventive diet / lifestyle recommendations.
Materials and Methods
We have used glucose measurement with Dexcom Continuous Glucose Monitoring (CGM), which is a minimally invasive electrochemical sensor that is inserted below the skin.
With CGM, 14 study participants determined their blood sugar patterns.
Statistically, we calculated the average blood glucose daily for 10 days, the coefficient of variation, the verified time in the range, the fixed low and high blood glucose patterns.
We used a muesli bar with a total carb count of 45 g, mostly starch (adapted starch test); and measured the glycemic response. To determine hunger, we used the hunger analog scale
Results
73% of the participants experienced episodes of hyperglycaemia. (And 3% in the diabetic range).
Another interesting finding was after an adapted starch tolerance test; which revealed different glycemic curves with a similar amount of starch.
We have seen the variation in glucose, which is more noticeable for most participants in cases where carbohydrates are eaten without a source of fat or protein.
Hunger felt stronger when blood sugar began to drop rapidly, not when the blood glucose level was in the ''lowest'' normal range.
Conclusions
CGM turns to a mindful eating approach.
My hypothesis on different glycemic curves with a similar amount of starch - it can be associated with different salivary amylase activities - will be tested further.
Furthermore, interesting was that hunger felt stronger when blood sugar began to drop rapidly. Subjects without persistent hunger tended to have the lowest glycemic variability.
Using CGM data, individual nutritional recommendations can be prepared, which could reduce the coefficient of glucose variation and episodes of hyperglycaemia.
| Original language | English |
|---|---|
| Pages (from-to) | 46 |
| Number of pages | 1 |
| Journal | Medicina (Kaunas) |
| Volume | 59 |
| Issue number | Suppl. 2 |
| Publication status | Published - 2023 |
| Event | International Scientific Conferences on Medicine & Public Health: Research Week 2023 Rīga Stradiņš University: Research Week 2023 Rīga Stradiņš University - Riga, Latvia Duration: 27 Mar 2023 → 31 Mar 2023 |
Field of Science*
- 3.1 Basic medicine
- 3.3 Health sciences
Publication Type*
- 3.4. Other publications in conference proceedings (including local)
