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Clinical Trials/NCT03360604
NCT03360604
Completed
Not Applicable

Utilizing Glycaemic Index: An Investigation of the Glycaemic Profiles and Cognitive Performance Displayed by Type 2 Diabetics Across the Course of a Day in Low and High Glycaemic Conditions

Matthew Grout1 site in 1 country25 target enrollmentApril 4, 2018

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Diabetes Mellitus, Type 2
Sponsor
Matthew Grout
Enrollment
25
Locations
1
Primary Endpoint
Change in cognitive performance on a Choice Reaction Time task
Status
Completed
Last Updated
6 years ago

Overview

Brief Summary

The current study aims to investigate the effects of two GI diets (low vs. high GI) in a sample (25 participants) that has diet controlled type 2 diabetes. This sample has been chosen as those with diabetes have been shown to suffer with poor glucose tolerance, along with the associated deficits such as compromised cognitive function. Therefore, it is expected that differences produced by the two diets on blood glucose concentrations and cognitive performance will be greater than those previously seen. If this is the case after analyzing the results, it will provide a potential strategy (diet) for improving glucose tolerance and cognitive performance in a vulnerable section of the population.

Detailed Description

With the introduction of the glycemic index in 1981, which can be defined as a measure of carbohydrate quality within foods, there has been a wealth of research into its' application to cognitive function. This research has been based on the theory that the availability of blood-borne glucose can have an impact on cognitive performance. This is supported by work that has shown that the brain consumes an immense amount of energy relative to the rest of the body, but possesses minute stores of glycogen which it could convert into its main energy source; glucose. This means the brain is reliant on the glucose supplied to it by the blood, which in turn requires the consumption of foods that can be broken down into glucose. With this in mind, the vast majority of literature has focussed on the acute effects that foods differing in glycemic values may have on cognitive function, and have found many relevant findings such as less cognitive performance decline across the morning for children who eat a low GI breakfast. This could be explained as a low GI breakfast will contain higher quality carbohydrates, or in other words; slower absorbing carbohydrates, which would suggest the brain has access to a steady supply of glucose across the more. Interesting work in the field of physiology has proposed the presence of a second meal effect, which can be defined as the glycemic index of a meal having an effect on the glycemic response to a subsequent meal. Surprisingly, there are very few pieces of psychology literature that investigate the possibility of a second cognitive meal effect, which is based on the theory that if a meals' GI can affect the glycemic response to a subsequent meal, then it may also have an effect on cognitive function. However, research into this has found some evidence for such an effect. Although, there has been a wealth of research into the glycemic index as a whole, the methodology varies greatly from study to study. These problems are most evident when looking at the times that cognitive function tests are administered. For research based upon a theory that relies on availability of blood-borne glucose, the times of cognitive testing do not always align themselves with the time points that the glycemic response indicates are ideal testing times. An initial study by the investigators looked to resolve the current lack of consistency amongst previous research by providing participants with three meals throughout the course of a day, whilst measuring blood glucose via finger prick. The aim was to identify where the biggest differences in blood glucose occur when looking at the results of a sample of 24 healthy participants. The time points identified would then provide information as to when significant differences in cognitive performance throughout the day may be expected. A second study fed a larger healthy sample (40 participants) the same meals, but also included a cognitive task battery. Results from the blood glucose concentrations supported results from study 1, with the two diets producing measureable differences in the glycaemic profiles produced across a test day. This is another step into potentially producing a diet that could promote healthy glucose regulation and cognitive function. The current study aims to investigate the effects of two GI diets (low vs. high GI) in a sample (25 participants) that has diet controlled type 2 diabetes. This sample has been chosen as those with diabetes have been shown to suffer with poor glucose tolerance, along with the associated deficits such as compromised cognitive function. Therefore, it is expected that differences produced by the two diets on blood glucose concentrations and cognitive performance will be greater than those previously seen. If this is the case after analyzing the results, it will provide a potential strategy (diet) for improving glucose tolerance and cognitive performance in a vulnerable section of the population.

Registry
clinicaltrials.gov
Start Date
April 4, 2018
End Date
December 1, 2018
Last Updated
6 years ago
Study Type
Interventional
Study Design
Crossover
Sex
All

Investigators

Sponsor
Matthew Grout
Responsible Party
Sponsor Investigator
Principal Investigator

Matthew Grout

Doctoral Researcher

University of Reading

Eligibility Criteria

Inclusion Criteria

  • Aged between 40 and 70 years of age.
  • Willing to participate in the entire study.
  • Male of female (not pregnant).
  • Currently have type 2 diabetes mellitus.

Exclusion Criteria

  • Presence of any food intolerances or allergies.
  • Being an elite athlete (very intense exercise more than 3 times a week).
  • A history of drug or alcohol abuse.
  • Presence of cancer.
  • Presence of clinically diagnosed depression.

Outcomes

Primary Outcomes

Change in cognitive performance on a Choice Reaction Time task

Time Frame: This test lasts 3 minutes. Participants are tested 9 times on each test day. There are two test days. Giving a total of 18 times, or approximately 54 minutes of performing this task across the entire study.

Specifically, the number of errors and the reaction times of participants are recorded by the software that runs this task (E prime) as it is performed. The number of errors and the mean reaction times are later statistically assessed in SPSS.

Change in cognitive performance on a Rapid Visual Information Processing task

Time Frame: This test lasts 3 minutes. Participants are tested 9 times on each test day. There are two test days. Giving a total of 18 times, or approximately 54 minutes of performing this task across the entire study.

Specifically, the number of errors and the reaction times of participants are recorded by the software that runs this task (E prime) as it is performed. The number of errors and the mean reaction times are later statistically assessed in SPSS.

Change in cognitive performance on a Letter Memory Task

Time Frame: This test lasts 5 minutes. Participants are tested 9 times on each test day. There are two test days. Giving a total of 18 times, or approximately 90 minutes of performing this task across the entire study.

Specifically, the number of errors and the reaction times of participants are recorded by the software that runs this task (E prime) as it is performed. The number of errors and the mean reaction times are later statistically assessed in SPSS.

Change in cognitive performance on a combined Choice Reaction Time and Rapid Visual Information Processing task

Time Frame: This test lasts 5 minutes. Participants are tested 9 times on each test day. There are two test days. Giving a total of 18 times, or approximately 90 minutes of performing this task across the entire study.

Specifically, the number of errors and the reaction times of participants are recorded by the software that runs this task (E prime) as it is performed. The number of errors and the mean reaction times are later statistically assessed in SPSS.

Secondary Outcomes

  • Sleepiness(This takes approximately 30 seconds to complete. Participants were tested six times a day. There were two test days. Giving a total of 12 times, or approximately 6 minutes overall.)
  • Mood (alertness, anxiety and contentment) measured by Bond & Lader (1974) Visual Analogue Scale(This was measured 6 times a day (every 90 minutes starting at 0 minutes/baseline), giving a total of 12 times. Each time lasts approximately 5 minutes, giving a total of 60 minutes overall. Data will be reported for the duration of this 3 year PhD award.)
  • Fullness(This takes approximately 30 seconds to complete. Participants were tested six times a day. There were two test days. Giving a total of 12 times, or approximately 6 minutes overall.)
  • Glycaemic profile(This is measured continuously throughout each day. Each day last approximately 9 hours. There are two test days. Giving a total of 18 hours of continuous glucose monitoring per participant.)
  • Hunger(This takes approximately 30 seconds to complete. Participants were tested six times a day. There were two test days. Giving a total of 12 times, or approximately 6 minutes overall.)

Study Sites (1)

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