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

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000038124

Enrollment

Registered

2019-09-26

Start date

2019-10-11

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 diabetes

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: type 1 diabetes, insulin-dependent-state and treated with basal-bolus therapy or continuous subcutaneous insulin infusion

Exclusion criteria

Exclusion criteria: 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

Design outcomes

Primary

Measure	Time frame
area under the glucose curve after bedtime	—

Secondary

Measure	Time frame
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.	—

Measure

Time frame

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.

—

Countries

Japan

Contacts

Public ContactAki Kondo

Graduate School of Medicine, Kyoto University Department of Diabetes, Endocrinology and Nutrition

akondo@kuhp.kyoto-u.ac.jp075-751-3560

Outcome results