| Unique ID issued by UMIN | UMIN000054192 |
|---|---|
| Receipt number | R000061883 |
| Scientific Title | Interventional study on the effects of meal skipping on blood glucose variability |
| Date of disclosure of the study information | 2024/04/22 |
| Last modified on | 2025/12/04 22:47:49 |
Effect of meal skipping on subsequent postprandial glucose levels
Effect of meal skipping on subsequent postprandial glucose levels
Interventional study on the effects of meal skipping on blood glucose variability
Interventional study on the effects of meal skipping on blood glucose variability
| Japan |
healthy subject
| Adult |
Others
NO
It has been reported that skipping breakfast leads to increasing of postprandial glucose levels. Previous studies have shown that extending the fasting time affects blood glucose fluctuations. However, the reports regarding skipping lunch and dinner are limited. Additionally, in recent years, habitual skipping of lunch or dinner, not just breakfast, has been increasing among young people. These facts indicate that the research necessity of postprandial glucose effects in lunch or dinner skipping. In this study, we examine the effects of skipping breakfast, lunch, and dinner on subsequent glycemic excursions in healthy subjects.
Others
Examine how specific dietary habits affect glycemic excursion
Changes in postprandial blood glucose obtained by intermittently scanned continuous glucose monitoring
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Prevention
| Food | Behavior,custom |
Research period is for 14 days.
Patients wear an intermittently scanned continuous glucose monitoring devices (isCGM) on their upper arm. Mealtimes are: 7:00 (breakfast), 13:00 (lunch), 19:00 (dinner).Meal contents are not fixed in this three meal times, prohibited snacks and sweetened drink outside of meal times. Dietary record is by meal photo and weigh high-carbohydrate foods, including staple foods. Meal skipping intervention is day 3-4 (breakfast), day 7-8 (lunch), day 11-12 (dinner). Time to sleep is 24:00, awake time is 7:00. Alcohol consumption and excessive exercise are prohibited from 2 days from the study.
| 20 | years-old | <= |
| 40 | years-old | >= |
Male and Female
Subjects
1 Healthy students aged 20 years or older
2 No history of metabolic diseases
1 The skin rashes easily
2 Pregnancy
3 Using implanted medical devices
4 Active drinking
5 Smoking
6 Habitual skippers
7 Family history of diabetes within the second degree
8 Those who the research director judges to be inappropriate for research participation
12
| 1st name | Toshio |
| Middle name | |
| Last name | Hosaka |
University of Shizuoka
School of Food and Nutritional Sciences
422-8526
52-1 Yada, Suruga-ku, Shizuoka, Japan
054-264-5567
toshio.hosaka@u-shizuoka-ken.ac.jp
| 1st name | Toshio |
| Middle name | |
| Last name | Hosaka |
University of Shizuoka
School of Food and Nutritional Sciences
422-8526
52-1 Yada, Suruga-ku, Shizuoka, Japan
054-264-5567
toshio.hosaka@u-shizuoka-ken.ac.jp
University of Shizuoka
University of Shizuoka
Local Government
University of Shizuoka
52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan
054-264-5103
tyous10@u-shizuoka-ken.ac.jp
NO
静岡県立大学(静岡県)
| 2024 | Year | 04 | Month | 22 | Day |
https://link.springer.com/article/10.1186/s12986-025-00975-4
Published
https://link.springer.com/article/10.1186/s12986-025-00975-4
13
Skipping lunch on both days significantly increased postprandial glucose levels at the subsequent dinner by 1.6 mmol/L compared to when lunch was consumed and breakfast was skipped (p < 0.001). In contrast, skipping dinner or breakfast did not result in significant changes in postprandial glucose levels at the following meal.
| 2025 | Year | 12 | Month | 04 | Day |
The subjects were 21.9 years old, with a BMI of 20.5.
Thirteen healthy young adults were enrolled and instructed to consume meals freely at designated times while maintaining detailed food intake records. Participants then followed a controlled protocol in which one of the three meals was skipped for two consecutive days in a specified order, with interstitial glucose continuously monitored.
Nothing in particular
Glucose levels were acquired as interstitial glucose concentrations every fifteen minutes using the isCGM device. Premeal, postprandial peak and the peak from premeal glucose were analyzed. Incremental areas under the curve for postprandial glucose levels for 3 h (3 h-iAUC) were also calculated using the trapezoidal method. Data from days 2, 6, and 10 served as controls. To adjust for dietary intake, the 3 h-iAUC was divided by energy (kcal) or carbohydrate (g) intake, resulting in the adjusted 3 h-iAUC (Adj-3 h-iAUC).
Main results already published
| 2020 | Year | 03 | Month | 03 | Day |
| 2020 | Year | 03 | Month | 03 | Day |
| 2020 | Year | 08 | Month | 01 | Day |
| 2024 | Year | 08 | Month | 30 | Day |
| 2024 | Year | 04 | Month | 18 | Day |
| 2025 | Year | 12 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000061883