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Studies suggest a link between lower postprandial glycaemic response and better cognitive performance in children, adolescents, and young adults, though evidence remains inconclusive. High glycaemic index (GI) meals quickly raise blood glucose, potentially causing reactive hypoglycaemia (glucose levels below baseline) and harming cognitive performance, especially in the late postprandial period, particularly after 120 minutes. Young adults may be more sensitive to these cognitive effects due to morning circadian misalignment, as their sleep midpoint (chronotype) is biologically most delayed. Recent research suggests that those with later chronotypes do not display the known circadian decline in glucose tolerance as indicated by equally high glycaemic responses to the same high GI meal in the morning or the evening. Eating breakfast "against the inner clock" may harm glycaemic response, particularly for those with a later chronotype. Those with morning circadian misalignment may also limit breakfast to beverages. Reactive hypoglycaemia commonly follows beverage consumption, especially soft drinks, energy drinks, glucose solutions, and low-GI fruit juices, occurring within 60 minutes after consumption. Later chronotypes may be more prone to reactive hypoglycaemia from drinks, harming cognition. This nutrition trial aims to investigate (I) the effects of breakfast-induced reactive hypoglycaemia on memory and attention in young, healthy, non-obese university students and (II) the relevance of chronotype to hypoglycaemia occurrence. To study reactive hypoglycaemia, a low GI beverage will be used, causing hypoglycaemia despite a low glycaemic response. Two samples will be examined: students of early and late chronotype. Postprandial insulin and cortisol changes will be analyzed, as improved insulin sensitivity and cortisol levels seem to affect cognition. From October 2024 to January 2025, 356 students (ages 18-25) enrolled in the GlyCoBrain Observational study (ID: NCT06679088) and were screened for chronotypes at Paderborn University. Participants with extreme chronotypes will be invited to this crossover study. Power calculations indicated a sample of 88 participants who complete both intervention days. They will consume a low-GI beverage at 9 a.m. causing reactive hypoglycaemia (glucose-fructose-sucrose solution) or a non-hypoglycaemia causing beverage (isomaltulose® solution) and undergo repeated cognitive assessments for the following 180 minutes.
Full description
Studies in young adults indicate beneficial effects of a low-glycaemic index (GI) breakfast on cognitive performance. A meta-analysis of 17 studies revealed the benefits of a low-glycaemic (GL) load breakfast on immediate verbal memory only in the late postprandial period. No overall effect on attention in adults was reported, yet advantages for attention in children, adolescents, and young adults were suggested. 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. Glucose is required for cognitive efforts as evidenced by decreases in local extracellular glucose concentrations in the activated brain area. Key neurotransmitter synthesis in the brain needs glucose. Glucose metabolism may influence memory through tryptophan utilization and serotonin concentrations. 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 levels, low-GI foods will result in a more sustained and longer-lasting provision of glucose. The late postprandial phase, when cognitive benefits of low GI/GL meals are most noticeable, coincides with the time after reactive hypoglycaemia following a high-GI meal. To disentangle the effects of dietary GI and reactive hypoglycaemia, it is prudent to examine beverages like fruit juices - characterized by a low GI, yet known to induce reactive hypoglycaemia even earlier postprandially. Accordingly, also detrimental effects on cognition should manifest earlier as observed for high-GI breakfast. 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, continuous glucose monitoring should be used 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 age may confound this. 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, higher blood glucose, HbA1c levels, and an increased risk of depression. It remains unclear whether persons with later chronotypes are more susceptible to reactive hypoglycaemia after breakfast.
Hypothesis
Methodology
Participants Healthy, German-speaking students at Paderborn University (early or late chronotype)
Sample size calculation:
Sample size calculation based 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) 44 participants are required 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). The investigator 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. Both chronotype samples have equal sex distribution.
Both samples will be invited to participate in the crossover nutrition trial, excluding smokers, shift workers or travelers of >2 time zones in the past 3 months, and persons taking methylphenidate or melatonin. Students will participate in 2 breakfast cognition tests, each after an overnight fast at 8 a.m. to be taken over 2 weeks including 1 week of wash-out. Participants will be assigned randomly to one of two sequence groups, differing only in the intervention sequence (isomaltulose® beverage, glucose-fructose-sucrose beverage or glucose-fructose-sucrose beverage, isomaltulose® 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 with 5 blocks, ensuring balance across the groups.
Participants will receive two different simple beverage breakfasts:
The intervention follows a 2-week schedule:
Week 1: Participants are invited for preparation day 1 (Friday), 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 previously determined chronotype in the GlyCoBrain Observational study, participants' chronotype will be assessed again using the Munich chronotype questionnaire. (MCTQ, © Roenneberg and co-workers, 2003). Body composition will be reassessed by Bioimpedance Analysis (mBCA 515, SECA, Germany) to estimate individual percentages of body fat, muscle mass, total body water and extracellular water. Body weight will be measured using the medical Body Composition Analyzer (mBCA). Body height will be measured using an ultrasound measuring station (seca 287 db). Waist circumference will be measured at the midpoint between the lower ribcage and hip bone of the exposed upper body.
Continuous glucose monitoring (CGM, G7, Dexcom, Inc., San Diego,CA) is activated, and an accelerometer will be used to measure movement and sleep/wake conditions (also allowing to corroborate chronotype). A standardized evening meal will be provided to be consumed in the evening before the intervention to avoid secondary meal effects e.g. caused 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 previous studies.
Statistical analysis Multilevel regression models will be employed to assess the effect of the interventions on immediate verbal memory at 90 minutes. Identical models will be used for the other cognitive outcomes. Interactions between the intervention effect and the chronotype will be tested, and stratified analyses based on the chronotype will be conducted. Further analyses will account for the sensitivity of insulin, and other factors such as cortisol, appetite, thirst and/or mood, to investigate whether the observed effects could be partially explained by these factors. Multilevel regression analyses with repeated measurements will assess the relevance of chronotype to reactive hypoglycaemia.
Enrollment
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Inclusion criteria
Exclusion criteria
Students studying nutritional science or 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 meals before 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, tranquillizers, 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. ginkgo, 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, haemophilia), 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
Primary purpose
Allocation
Interventional model
Masking
177 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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