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High glycaemic index (GI) breakfasts resulting in sharp rises in blood glucose may adversely affect memory and attention, particularly in the late postprandial phase (i.e., 120-180 minutes after breakfast). Previous research indicates that breakfast GI influences cognition in young adults, but many studies were too short to capture late postprandial effects. However, young adults may be particularly responsive to these adverse effects on cognition since they are prone to experience circadian misalignment in the morning due to the fact that their midpoint of sleep (i.e., chronotype) is biologically most delayed. Our recent research suggests that persons with later chronotypes do not display the known circadian decline in glucose tolerance as evidenced by equally high glycaemic responses to the identical high GI meal consumed in the morning or the evening. Hence, consuming an early breakfast "against the inner clock" may negatively affect glycaemic response particularly among persons with a later chronotype. Whether this vulnerability for persons with a later chronotype may extend to effects on cognition has not been examined.
Thus, the main objective of this controlled nutrition trial is to analyze the effects of a high versus a low GI beverage as a breakfast on subsequent memory and attention until 180 minutes after breakfast among young healthy university students. This will be examined in two samples, i.e. students with an earlier and with a later chronotype. Accordingly, our study will allow us to explore the relevance of chronotype for (i) the postprandial course of glucose levels and (ii) the course of memory and attention per se in the postprandial phase.
In preparation for the present study, at Paderborn University 356 students (aged 18-25) were enrolled between October 2024 and January 2025 in the GlyCoBrain Observational study (ID: NCT06679088) and were screened for their chronotypes. From these, persons with the earliest and latest chronotype will be invited to participate in the present cross-over designed study. It is planned that overall 88 persons will complete both intervention days consuming either a high GI or a low GI breakfast at 9:00 a.m. and undergoing repeated assessment of cognitive performance during the subsequent 180 minutes.
Full description
Background Studies in young adults indicate beneficial effects of a low glycemic index (GI) breakfast on cognitive performance. A meta-analysis of 17 studies revealed benefits of a low-glycemic load (GL) breakfast on immediate memory only in the late post-prandial period. The meta-analysis reported no overall effect on attention in adults, yet suggests advantages for attention in children, adolescents, and young adults. A limitation of previous studies was that dairy was often allowed despite its strong insulinotropic effect, dampening the postprandial glycaemic response. To ensure an unbiased evaluation, the GlyCoBrain intervention study 1 will use pure water-carbohydrate mixtures, avoiding nutrient interactions, to examine the isolated effect of a high-GI breakfast.
Mechanisms explaining the time-dependent benefits of a low-GL breakfast are not fully understood. The provision of glucose to the brain is currently discussed as a central mechanism linking meal GI/GL to cognition. Generally, glucose is required for cognitive efforts as evidenced by decreases in local extracellular glucose concentrations in the activated brain area. The synthesis of key neurotransmitters in the brain requires a glucose supply. Glucose metabolism may be linked to memory via effects on tryptophan utilization and serotonin concentrations. Overall,the memory enhancing effect of glucose may require relatively constant blood glucose levels in the brain rather than high glucose amounts per se. Hence, whilst high GI foods elicit a transient increase in blood glucose level, low GI foods will result in a more sustained and longer-lasting provision of glucose. Since recent work suggests that there may be an optimal blood glucose range for cognitive performance and that this optimal range may differ by cognitive domain, it appears prudent to use continuous glucose monitoring in addition to the conventional measurement points directly before the cognitive test. However, benefits of low GI/GL breakfast for cognitive function have also been observed without differences in blood glucose levels. This may be attributable to an acutely improved postprandial insulin sensitivity and/or lower cortisol levels elicited by low GI meals. Accordingly, concomitant examinations of all three factors, i.e. glucose, insulin and cortisol levels, seem necessary to disentangle potential mechanisms.
The above mentioned meta-analysis also found greater benefits for individuals with better glucose tolerance, although this may be confounded by age. Studies suggest that young adults with poorer glucose tolerance, even within the healthy range, may be more vulnerable to these effects. While glucose tolerance follows a circadian rhythm, being lowest in the evening due to reduced pancreatic β-cell function and insulin response, circadian misalignment-common among young adults with later chronotypes-can also impair glucose tolerance, even at breakfast, due to decreased insulin sensitivity. This misalignment, often caused by social jetlag, has been linked to obesity, type 2 diabetes, and higher blood glucose and HbA1c levels, and an increased risk of depression. Considering results from our previous study showing high glucose responses among young adults with a late chronotype in the morning to a high GI breakfast, the GlyCoBrain intervention study 1 examines the hypothesis that consuming an early breakfast "against the inner clock" affects cognitive performance.
Hypothesis
(1) A low GI beverage breakfast (isomaltulose® beverage) results in a better memory and attention until 180 minutes compared to a high GI beverage breakfast (glucose beverage). (2) a low GI beverage breakfast results in fewer fluctuations in memory and attention throughout the morning. (3) the benefits of a low GI breakfast are particularly observed among people with later chronotype.
Aim The main objectives of this controlled nutrition trial are to analyze the effect of a high or low GI beverage at breakfast on memory and attention over the course of the morning including the late postprandial phase among young healthy university students. As young students are at high risk for a later chronotype, we aim to explore these effects in two samples of students with an earlier and later chronotype. In addition, our study will allow us to explore the relevance of chronotype for the postprandial course of glucose, insulin and cortisol levels.
Methodology Participants Healthy, German speaking students at Paderborn University with early or late chronotype.
Sample size calculation:
We base our sample size calculation on the difference in immediate memory and the study rated best in terms of quality in the meta-analysis. Given a standard deviation of 3.6 and 4.3 in both groups, and a standardized mean difference of 0.31 for people with a better glucose tolerance (corresponding to mean difference of 1.12) we require 44 participants in the smallest subgroup with a given power of 80% and alpha of 0.05 considering a correlation of 0.8 between both measurements (calculated with STATA, vers. 17.0). We assume, that 66% of invited students will participate and that 75% of those will complete the study. Hence, to have the full data set of 88 persons (44 with an early chronotype and 44 with a late chronotype) completing the trial, 117 need to start the trial and 177 people need to be invited from the GlyCoBrain Observational study which recruited 356 students from Paderborn University and screened for chronotype via MCTQ. In both chronotype samples equal sex distribution is envisaged.
Both samples will be invited to participate in the crossover nutrition trial, excluding smokers, people working on shift or having travelled for >2 time zone in the past 3 months, persons taking methylphenidate or using melatonin. Students will participate in 2 breakfast-cognition tests, each after an overnight fast at 8 a.m. to be taken over a course of 2 weeks including 1 week wash-out. Participants will randomly be assigned to one of two sequence groups, which differ only regarding the sequence of the intervention (Glucose beverage, isomaltulose® beverage or isomaltulose® beverage, glucose beverage). Randomization lists are provided by an external statistical advisor from the University of Esbjerg stratified by sex and chronotype. A randomized list was generated for 4 groups, each with 30 slots, using a block randomization approach. The randomization was performed using STATA (Vs 18.5; randomize) with 5 blocks, ensuring balance across the groups
Participants will receive to two different simple beverage breakfasts:
The intervention is structured into a 2-week schedule:
Week 1. Participants are invited for preparation day 1, during which a venous fasted blood sample is taken to determine fasting lipids, high-sensitivity-C-reactive protein, alanine aminotransferase and gamma-glutamyltransferase to metabolically characterize the recruited participants. To validate the consistency of the chronotype that had been determined in the GlyCoBrain Observational study previously, the participants' chronotype will again be determined via the Munich chronotype questionnaire. Body composition will be reassessed by Bioimpedance Analysis to estimate individual percentages of body fat, muscle mass, total body water and extracellular water. Additionally, body weight will be measured directly by the medical Body Composition Analyzer (mBCA, seca, Germany). Body height will be measured using an ultrasound measuring station (SECA287 db). Waist circumference will be assessed on the exposed upper body at the midpoint between the lower ribcage and the hip bone.
Continuous glucose monitoring (CGM, G7, Dexcom, Inc., San Diego,CA) is activated, accelerometry will be used to measure movement and sleep/wake conditions. A standardized evening meal will be provided to be consumed in the evening before the intervention to avoid secondary meal effects e.g. by pulse consumption. Participants will be asked to perform a training session on the cognition battery (see below).
The actual intervention starts three to five days later at 8 a.m. with each day running as follows:
Week 2. Again, participants repeat the preparation day as before (day 2), except for BIA, MCTQ and venous blood sample measurements. The intervention then continues 3 to 5 days after the preparation day following the same time scale as on intervention day 1.
Cognition tests Assessment using the test battery is expected to last approximately 25 minutes in total each time. Tests will include a set of tests developed by the ALA Institute Bochum, that was applied in our previous studies.
Enrollment
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Inclusion criteria
Exclusion criteria
Students studying nutritional science and home economics (study programs of the study PI)
Intermediate chronotypes
Persons unwilling to abstain from smoking or cannabis use during the intervention period
Persons unwilling to consume standard evening meal prior to intervention days
BMI>30 kg/m² (diurnal variation in glycaemic control is known to be absent among persons with obesity) and <18.5 kg/m2 (since underweight is also known to affect glucose homeostasis)
acute or permanent use of sleep-promoting medications (including herbal preparation):
Use of psychotropic medications (antidepressants, tranquilizer, antipsychotics)
Use of methylphenidate (e.g. Ritalin, Medikinet, Concerta)
Use of cannabinoids by prescription
Continuous administration of antihistamines when discontinuation is not feasible during the intervention
Use of herbal preparations affecting memory and concentration (e.g. gingko, ginseng, ashwagandha)
Use of other medications (e.g. insulin, metformin, SGLT2 inhibitors, steroids, ACE inhibitors)
Selected chronic diseases (depression and other mental disorders such as anxiety disorder, ADHD, diabetes mellitus (all types), prediabetes, blood clotting disorders (e.g., thrombocytopenia, hemophilia), eating disorders (e.g., anorexia, binge eating, bulimia), Chronic inflammatory bowel diseases, infectious diseases (HIV, hepatitis), Addiction disorders (e.g., alcohol, drug, or medication dependency)
Pregnant and breastfeeding individuals
Shift work or travel in the past 3 months across more than 2 time zones
students with a pacemaker/defibrillator or cochlear implant
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177 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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