Unique ID issued by UMIN | UMIN000051003 |
---|---|
Receipt number | R000058131 |
Scientific Title | Correlation analysis of eating behaviors and blood glucose level using antioxidant foods |
Date of disclosure of the study information | 2023/05/08 |
Last modified on | 2023/05/08 12:42:32 |
Correlation analysis of eating behaviors and blood glucose level using antioxidant foods
Correlation analysis of eating behaviors and blood glucose level using antioxidant foods
Correlation analysis of eating behaviors and blood glucose level using antioxidant foods
Correlation analysis of eating behaviors and blood glucose level using antioxidant foods
Japan |
glucose metabolism
Medicine in general | Adult |
Others
NO
Postprandial hyperglycemia could be caused by mental-stress-induced overeating. Hyperglycemia is a primary risk factor of not only diabetes mellitus and its complications but also critical diseases typically including heart failure and brain infarction.
Snacking is a promising way for avoidance of postprandial hyperglycemia. However, it has a self-contradicting drawback that snacking itself has a risk of increasing glucose level. To overcome such issue, a variety of natural antioxidant foods having an effect of suppressing postprandial increase of glucose level have been developed.
The current study aims to clarify how glucose level changes by eating such antioxidant foods for snacking in a daily life, taking into account various confounding factors including mealtime, glucose tolerance, body composition, age, sex, etc. To this end, subjects are aske to take snacking with target snack foods in accordance with instruction while maintain usual meal behaviors. The study period is two weeks. Subjects are required to wear a continuous glucose monitoring (CGM) sensor which records glucose level at every fifteen minutes.
The outcome of the study will evidence optimal snacking for health promotion.
Efficacy
Outcome
Measurements
Daily glucose fluctuations by using a continuous glucose monitoring system (Freestyle Libre Pro, Abbot Diabetes Care Inc., USA, Japanese pharmaceutical approval: 22800BZX00227000).
Glucose profiles are consistently measured during the 14-day test period.
Measurement outcomes
Basic glucose response:
(a) Effective glucose peak value (Gp) from glucose baseline
(b) net MAGE (mean amplitude of glucose excursion)
Definition of Net MAGE
MAGE was defined as the average of upward (MAGE(+)) and downward (MAGE(-)) excursions exceeding the standard deviation of glycemic excursion data over a day measured by CGM as follows:
MAGE=(MAGE(+) + MAGE(-))/2
Glycemic excursion fluctuations can be evaluated by the upper and lower envelopes of excursion profiles. Net glycemic fluctuation amplitudes (net MAGE) defined for each glycemic peak as abs[G(i)-GN(i)], where G(i) and GN(i) are glucose peak and baseline value of the ith peak of the daily glucose excursion profile.
Glucose levels measured at every 15 minutes during study period of 14 days
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Prevention
Food |
14 days
64 pieces
20 | years-old | <= |
75 | years-old | >= |
Male and Female
Healthy male/female daytime workers
Age: 20-75
Education: High-school graduate level
Subjects who take mediations acting on glucose metabolism
(Steroid, NSAIDS (non-steroid anti-inflammatory drugs), Anti-diabetes drugs)
Those who have a risk of subcutaneous bleeding by inserting a continuous glucose monitoring (CGM) sensor
40
1st name | Yoshitada |
Middle name | |
Last name | Katagiri |
The University of Tokyo
Biosystems Engineering for Health and Longevity, Department of Bioengineering, School of Engineering
Tokyo 133-8655 Japan
7-3-1, Hongo, Bunkyo-ku, Tokyo 133-8655 Japan
+81-3-3581-1294
tkatagiri@g.ecc.u-tokyo.ac.jp
1st name | Yoshitada |
Middle name | |
Last name | Katagiri |
The University of Tokyo
Biosystems Engineering for Health and Longevity, Department of Bioengineering, School of Engineering
Tokyo 133-8655 Japan
7-3-1, Hongo, Bunkyo-ku, Tokyo 133-8655 Japan
+81-3-3581-1294
tkatagiri@g.ecc.u-tokyo.ac.jp
The University of Tokyo
The University of Tokyo
Japanese Governmental office
Research Ethics Committee, The Environmental Health and Safety Office, School of Engineering, The University of Tokyo
7-3-1, Hongo, Bunkyo-ku, Tokyo 133-8655 Japan
+81 3 5841-1846
rinri@anzen.t.u-tokyo.ac.jp
NO
2023 | Year | 05 | Month | 08 | Day |
Unpublished
Open public recruiting
2022 | Year | 08 | Month | 22 | Day |
2022 | Year | 12 | Month | 22 | Day |
2022 | Year | 12 | Month | 22 | Day |
2023 | Year | 03 | Month | 31 | Day |
2023 | Year | 05 | Month | 08 | Day |
2023 | Year | 05 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000058131
Research Plan | |
---|---|
Registered date | File name |
Research case data specifications | |
---|---|
Registered date | File name |
Research case data | |
---|---|
Registered date | File name |