| Unique ID issued by UMIN | UMIN000038124 |
|---|---|
| Receipt number | R000043429 |
| Scientific Title | Prospective observational study of the effect of nutrient intake on glucose metabolism through the Circadian rhythm |
| Date of disclosure of the study information | 2019/09/26 |
| Last modified on | 2026/05/01 14:15:20 |
Prospective observational study of the effect of nutrient intake on glucose metabolism through the Circadian rhythm
Prospective observational study of the effect of nutrient intake on glucose metabolism through the Circadian rhythm
Prospective observational study of the effect of nutrient intake on glucose metabolism through the Circadian rhythm
Prospective observational study of the effect of nutrient intake on glucose metabolism through the Circadian rhythm
| Japan |
Type 1 diabetes
| Endocrinology and Metabolism |
Others
NO
To evaluate how meal timing and nutritional composition, as well as the timing, duration, and quality of sleep, are associated with glucose metabolism in patients with diabetes.
Others
To evaluate how glycemic variability, insulin dosing, and autonomic nervous system activity are associated with sleep quality in patients with diabetes.
area under the glucose curve after bedtime
sleep quality
Analysis methods:
Using daily data collected over 4 consecutive days, the associations of nutritional composition, timing of the last meal, and the interval between the last meal and bedtime with the area under the glucose curve after bedtime will be evaluated. In addition, as secondary analyses, the associations of glycemic variability, insulin dosing, and autonomic nervous system activity with sleep quality will be examined. Analyses will be conducted on a day-level basis using generalized estimating equations (GEE) to account for within-subject correlations in repeated measurements.
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
type 1 diabetes, insulin-dependent-state and treated with basal-bolus therapy or continuous subcutaneous insulin infusion
liver failure, renal insufficiency (eGFR > 30 mL/min/1.73m2), arrhythmia, taking steroid medication, taking sleep medication, using of continuous positive airway pressure therapy, psychological comorbidities or dementia, cancer-bearing, pregnant or breastfeeding, heavy drinker, received pancreas or islet transplantation, night shift worker
40
| 1st name | Kaori |
| Middle name | |
| Last name | Ikeda |
Kyoto University Hospital
Institute for Advancement of Clinical and Translational Science (iACT)
606-8507
54 Shogoinkawahara-cho, Sakyo-ku,Kyoto-shi,Kyoto
075-751-3560
krikeda@kuhp.kyoto-u.ac.jp
| 1st name | Aki |
| Middle name | |
| Last name | Kondo |
Graduate School of Medicine, Kyoto University
Department of Diabetes, Endocrinology and Nutrition
606-8507
54 Shogoinkawahara-cho, Sakyo-ku,Kyoto-shi,Kyoto
075-751-3560
akondo@kuhp.kyoto-u.ac.jp
Graduate School of Medicine, Kyoto University
Japan Society For The Promotion Of Science
Other
Japan
Kyoto university graduate school and faculty of medicine Kyoto university hospital Ethic committe
Yoshida konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto
075-753-4680
ethcom@kuhp.kyoto-u.ac.jp
NO
京都大学医学部附属病院(京都府)、御所南はらしまクリニック(京都府)、京都桂病院(京都府)、京都田辺中央病院(京都府)、高槻赤十字病院(大阪府)
| 2019 | Year | 09 | Month | 26 | Day |
NA
Unpublished
NA
44
Later dinner time, higher dinner carbohydrate intake, and lower protein intake were associated with a higher area under the glucose curve (AUC) after bedtime. A higher AUC after was associated with prolonged sleep onset latency and a reduced proportion of deep sleep (N3/TST). In addition, a higher LF/HF after bedtime-an index of sympathetic predominance derived from heart rate variability-was also associated with lower N3/TST. Furthermore, the last bolus insulin dose was positively associated with LF/HF.
| 2026 | Year | 05 | Month | 01 | Day |
A total of 44 participants provided informed consent, of whom 5 withdrew consent. Among the 39 participants who completed data collection, 17 were male and 22 were female; the median age was 51.0 years, the median duration of diabetes was 15.0 years, the median HbA1c was 7.6%, and the median BMI was 22.5 kg/m2.
For each participant, data on continuous glucose monitoring, dietary records, sleep electroencephalography, heart rate variability, and physical activity were collected over four consecutive days. Of the 39 participants, 1 was excluded due to a reversed sleep-wake cycle. For the primary outcome analysis, 3 participants with no available continuous glucose monitoring, dietary records, or heart rate variability data across all 4 days were excluded, leaving 35 participants for analysis. This resulted in a total of 140 participant-days of data. Of these, days with insufficient data for analysis, including missing continuous glucose monitoring data, were excluded, resulting in 88 participant-days (from 32 participants) for the final analysis.
None
Primary outcome: Area under the glucose curve after bedtime
Secondary outcome: Sleep quality
Completed
| 2019 | Year | 09 | Month | 05 | Day |
| 2019 | Year | 09 | Month | 26 | Day |
| 2019 | Year | 10 | Month | 11 | Day |
| 2022 | Year | 12 | Month | 01 | Day |
None
| 2019 | Year | 09 | Month | 26 | Day |
| 2026 | Year | 05 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000043429