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Impact of Bedtime Snacks on Glucose Control in Type 2 Diabetes

A High-protein Bedtime Snack to Control Morning Blood Glucose

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03207269
Enrollment
15
Registered
2017-07-02
Start date
2017-07-20
Completion date
2018-08-31
Last updated
2018-11-07

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

Conditions

Type 2 Diabetes Mellitus

Brief summary

Approximately 3 million Canadians have type 2 diabetes, a condition where the blood sugar levels are too high, uncontrolled blood sugars lead to cardiovascular disease and other complications. Patients with type 2 diabetes are often advised to consume a snack before bed in order to help control morning blood sugar levels. However, scientific evidence for this dietary approach is limited and there is no data to help elucidate what the ideal bedtime snack is. We hypothesize that a high protein, high fat snack with very little carbohydrate, will be an effective bedtime snack for lowering morning glucose without spiking glucose levels in the night. In this study we will determine if a bedtime snack that is high in protein and fat but low in carbohydrate can help improve morning glucose control in people with type 2 diabetes. This information will provide scientific evidence for the potential health benefits of strategically-timed high protein, high fat snack consumption in people with type 2 diabetes.

Detailed description

Fifteen patients with physician diagnosed type 2 diabetes (HbA1c 6.5-9%), between the ages of 30-80 years, and not on exogenous insulin therapy, will complete three, 3-day intervention periods (proof-of-concept randomized trial). Participants will consume a standardized diet for three days with either i) two hard-boiled eggs, ii) fruit yogurt; or iii) control no-bedtime snack, thirty minutes prior to bedtime. Fasting blood samples will be obtained on Day 4 in the morning after following each 3-day dietary intervention. Blood glucose will be monitored continuously across the intervention period using continuous glucose monitoring (CGM). CGM allows for the moment-to-moment changes in blood glucose to be examined for several days, allowing the unique opportunity to examine the glucose responses at different points of the day, including fasting hyperglycemia in the morning, nocturnal glucose, and postprandial glucose in response to meals. To our knowledge, CGM technology has never been used in a bedtime snacking study in type 2 diabetes.

Interventions

OTHERDietary

Diet will be manipulated by providing different bedtime snacks within an otherwise isocaloric diet.

Sponsors

University of British Columbia
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
30 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Diagnosed Type 2 Diabetes * HbA1c between 6.5 - 9.0% * No dietary restraints (lactose intolerance, dislike eggs, celiac disease)

Exclusion criteria

* Heart attack or stroke within last year * Exogenous insulin

Design outcomes

Primary

MeasureTime frameDescription
Fasting Plasma glucoseDay 4Fasting Plasma glucose

Secondary

MeasureTime frameDescription
postprandial glucoseAverage of three days during each interventionbreakfast AUC
Fasting insulinAverage of three days during each interventionFasting plasma insulin
24 h mean blood glucoseAverage of three days during each interventioncontinuous blood glucose monitoring
Overnight blood glucoseAverage of three days during each interventionGlucose assessed during sleep by continuous glucose monitoring
Fasting continuous glucose monitoring glucoseAverage of the three days during each intervention15-minute average glucose assessed by CGM in the fasted state upon awakening
Fasting homeostasis model assessment of insulin resistance (HOMA-IR)Day 4Calculated by fasting plasma glucose and insulin

Countries

Canada

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 28, 2026