Introduction
An increasing body of research highlights the intricate relationships between dietary patterns, neurological function, and sleep wake regulation, with broad implications for cognitive performance and overall metabolic health. Diet, comprising macronutrient composition, meal timing, and specific micronutrients pays a pivotal role in modulating neurotransmitter synthesis, circadian rhythms, and homeostatic sleep drives through multiple biochemical pathways and neuroendocrine mechanisms. The scope of this topic extends from the cellular and molecular effects of dietary intake on neural circuits controlling arousal and sleep, to population level consequences impacting alertness, cognitive stability, and metabolic risk. Given the rising prevalence of sleep disorders and cognitive fatigue in modern societies, understanding dietary influences on these domains has become clinically relevant for both risk mitigation and therapeutic intervention [1].
This review aims to provide a comprehensive analysis of how variations in dietary intake from an overall dietary pattern to specific nutrients affecting sleep quality, architecture, and daytime alertness. The objective is to synthesize current evidence on the neurobiological mechanisms linking diet to sleep regulation and cognitive performance, while elucidating translational implications for personalized nutrition, public health strategies, and clinical practice. The rationale for this investigation stems from converging findings that suboptimal dietary habits contribute not only to sleep fragmentation and impaired alertness, but also downstream effects on mood, productivity, metabolic function, and long-term brain health. By interrogating these relationships, this article aims to inform interventions targeting both dietary modification and sleep optimization as mutually reinforcing strategies in preventive healthcare [2,3].
Dietary Patterns and Sleep Architecture
Historical and current perspectives on diet and sleep quality
The association between dietary habits and sleep quality has long intrigued researchers, yet systematic investigation only gathered momentum in the last several decades. Early studies primarily noted anecdotal links such as warm milk promoting sleep, while scientific focus gradually shifted to the effects of macronutrient composition and meal timing on sleep onset and maintenance. Contemporary research has moved beyond single nutrient interventions to the examination of broader dietary patterns (such as Mediterranean, plant-rich, or Western diets) and their multifactorial impacts on both subjective and objectively measured sleep quality. Key findings from randomized trials and epidemiological studies indicate that diets rich in fiber, protein, fruit, vegetables and anti-inflammatory nutrients are consistently associated with superior sleep efficiency and architecture, while diets high in saturated fat, processed foods, and sugars predict shorter sleep duration, greater nighttime arousals, and impaired sleep quality. Notably, the timing and composition of evening meals, especially high-fat and high-carbohydrate foods have been shown to disrupt sleep continuity and depth for many individuals [3,4,5,6,7,8,9].
Recent research also suggests sex-related differences in the impact of nocturnal eating on sleep architecture, with women potentially experiencing more pronounced negative effects of late-night calorie or macronutrient intake. The accumulation of evidence in diverse populations and the application of objective sleep measures (e.g., polysomnography, actigraphy) have strengthened the case for dietary modification as a complementary target for improving sleep health [1,8].
Key Definitions: Sleep Architecture, Alertness, and Cognitive Performance
- Sleep architecture refers to the structural organization of sleep as recorded by polysomnography. It is divided into cycles of Rapid Eye movement (REM) and Non-Rapid Eye Movement (NREM) sleep, with NREM further categorized into stages 1-3. Deep sleep (stage 3) and REM sleep are especially important for neurological restoration, memory consolidation, and metabolic homeostasis. Sleep architecture also captures sleep efficiency (percentage of time in bed spent asleep), sleep onset latency (SOL), total sleep time, and the number and duration of nighttime arousals [1,10].
 - Alertness encompasses the brain’s capacity to maintain wakefulness, detect stimuli, and respond rapidly and accurately. It is regulated by both circadian and homeostatic processes, and closely linked with sleep inertia (the grogginess and impaired performance immediately after waking). Sustained alertness underpins daily functioning, safety, and adaptability [11,12].
 - Cognitive Performance describes mental processes including attention, working memory, executive function, and information processing. Cognitive performance is profoundly sensitive to changes in both sleep quality and sleep duration; disturbance in sleep architecture (e.g., fragmented deep or REM sleep) often manifest as reduced concentration, impaired learning, decision making errors, and slower reaction times. In the context of dietary studies, cognitive endpoints are essential for demonstrating the real-world benefits or detriments of various nutritional approaches on day-to-day functioning [13,14,15].
 
Macronutrient Composition and Neurological Outcomes
High Carbohydrate Diets: Mechanisms, Effects on Sleepiness and Cognitive Fluctuations
High carbohydrate diets exert complex effects on sleep architecture and cognitive performance through multiple interconnected pathways involving glucose metabolism, neurotransmitter synthesis, and neuroendocrine regulation. The consumption of carbohydrate rich meals triggers rapid increases in blood glucose concentrations within 20-30 minutes, followed by compensatory insulin release that facilitates glucose uptake by peripheral tissues while simultaneously promoting the uptake of competing large neutral amino acids (LNAA) into muscle tissue. This process leaves tryptophan, which binds to albumin and remains in circulation with relatively less competition for brain transport via the blood-brain barrier, potentially increasing central tryptophan availability for serotonin and melatonin synthesis. However, this classical tryptophan hypothesis requires extremely low protein intake (less than 2% of total calories) to be physiologically relevant, limiting its applicability to normal dietary patterns [16,17]. The glycemic response to high carbohydrate intake appears to be the primary determinant of sleep and cognitive effects, with meta-analytic evidence demonstrating that higher carbohydrate consumption is associated with reduced slow-wave sleep (SWS) and increased REM sleep duration. High glycemic index meals consumed close to bedtime can disrupt sleep architecture by elevating nocturnal blood glucose levels and suppressing SWS, while paradoxically reducing sleep onset latency when consumed 4 hours before sleep. The mechanisms underlying these effects likely involve glucose sensing neurons in the hypothalamus that regulate sleep wake cycles, as REM sleep, associated with intense neuronal activity, requires substantial glucose utilization [8,16,17,18]. Postprandial sleepiness following high carbohydrate meals represents a multifactorial phenomenon involving parasympathetic nervous system activation, cytokine release, and metabolic shifts that compromise alertness and cognitive performance. The compensatory hyperinsulinemia following high glycemic meals can precipitate triggering counterregulatory hormone responses including epinephrine, cortisol, and glucagon that manifest as anxiety, tremor, and cognitive impairment. This glucose instability appears particularly detrimental to sustained attention and executive function, with studies demonstrating that high glycemic index foods eventually compromise mood and cognitive performance due to fluctuating blood sugar levels. Conversely, low glycemic index carbohydrates that produce slower, more sustained glucose release have been associated with improved attention, memory, and cognitive stability, particularly in the late postprandial phase when glucose concentrations remain more stable [17,19,20,21,22,23].

High-Fat, Low Carbohydrate Diets: Sustained Alertness and Physiological Pathways
High fat, low carbohydrate (ketogenic) diet facilitates sustained alertness and cognitive stability through several distinct physiological pathways that fundamentally alter brain energy metabolism and neural network function. The transition from glucose-dependent to ketone-dependent brain metabolism occurs when hepatic glycogen stores are depleted after 12-24 hours of carbohydrate restriction, triggering the production of ketone bodies, primarily b-hydoxybutyrate (bHB) and acetoacetate, from fatty acid oxidation in liver mitochondria. These ketone bodies readily cross the blood-brain barrier via monocarboxylate transporters and serve as highly efficient alternative fuel sources for neurons and astrocytes, providing approximately 27% more Gibbs free energy change for ATP synthesis compared to glucose. This enhanced energy efficiency translates to improved mitochondrial function, as evidenced oxygen consumption rates, enhanced coupling efficiency, and reduced reactive oxygen species production in neuronal mitochondria under ketotic conditions [24,25,26,27,28,29]. The cognitive benefits of ketogenic diets extend beyond simple fuel substitution to encompass multiple neuroprotective and neuromodulator mechanisms that promote sustained attention and mental clarity. bHB acts as a potent epigenetic modulator, enhancing brain-derived neurotrophic factor (BDNF) expression through increased H3K4me3 occupancy and decreased H2AK119ub repressive marks at BDNF promoters, thereby supporting synaptic plasticity, neurogenesis and cognitive function. Additionally, ketone bodies modulate neurotransmitter balance by increasing GABA synthesis and the GABA/glutamate ratio, which stabilizes neural excitability and reduces seizure threshold while maintaining optimal arousal states. The ketogenic metabolic state also promotes functional brain network stability, a biomarker for cognitive aging, with effects detectable as rapidly as 30 minutes following exogenous ketone ester administration and sustained throughout ketogenic diet intervention [28,29,30,31]. Clinical evidence demonstrates that ketogenic diets consistently improve sleep architecture and daytime alertness through mechanisms involving enhanced REM sleep duration, reduced wake after sleep onset (WASO), improved sleep efficiency and decreased daytime sleepiness. The sleep-promoting effects appear mediated by ketone-induced increases in nocturnal dopamine signaling, which facilitates the transition from NREM to REM sleep, alongside potential adenosine system modulation that enhances sleep drive without compromising wakefulness. Importantly, these benefits occur independently of weight loss, as demonstrated by studies using exogenous ketone supplementation that replicate the sleep and cognitive advantages of dietary ketosis. Long-term adherence to ketogenic diets maintains cognitive performance equivalent to higher-carbohydrate diets in both healthy individuals and those with metabolic disorders, while providing additional benefits of metabolic flexibility, reduced glycemic variability, and protection against age-related cognitive decline [28,32,33,34,35,36,37].
Protein Intake: Associations With Sleep Quality and Cognitive Stability
Protein intake demonstrates complex bidirectional relationships with sleep quality and cognitive performance through multiple neurochemical pathways involving neurotransmitter synthesis, circadian regulation, and metabolic homeostasis. Population-based studies consistently demonstrate that higher protein consumption is independently associated with reduced sleep problems, with individuals in the highest quartile of protein intake showing significantly lower odds of experiencing sleep difficulties compared to those consuming minimal protein. The relationship appears particularly robust among individuals engaging in regular physical activity, where protein intake above 17% of total energy intake combined with exercise at least twice weekly for 30 minutes significantly correlates with superior sleep quality scores (PSQI £10) compared to sedentary individuals. Gender-stratified analyses reveal that this protective association is more pronounced in females, suggesting potential sex-specific mechanisms in protein mediated sleep regulation [38,39,40]. The primary mechanism underlying protein’s sleep promoting effects involves the amino acid tryptophan and its competition with large neutral amino acids (LNAA) including leucine, isoleucine, valine, tyrosine, and phenylalanine for blood brain barrier transport. While protein sources contain tryptophan, the precursor to sleep regulating serotonin and melatonin. They simultaneously provide abundant competing LNAA that can impair tryptophan brain uptake. The critical determinant of sleep benefit appears to be the tryptophan to LNAA ratio rather than absolute tryptophan content, with plant-based proteins showing favorable ratios and positive associations with sleep duration. Conversely, dairy protein sources, despite containing tryptophan, demonstrate negative associations with sleep duration, potentially due to their high LNAA content. Once tryptophan crosses the blood-brain barrier, it undergoes conversion to 5-hydroxytryptophan via tryptophan hydroxylase, followed by enzymatic conversion to serotonin, which subsequently serves as the precursor for melatonin synthesis in the pineal gland [16,39,41].

Branched chain amino acids (BCAAs), leucine, isoleucine, and valine exhibit distinct circadian rhythmicity and demonstrate significant associations with sleep architecture parameters in both pedidatric and adult populations. Leucine shows the strongest associations with all sleep parameters, while isoleucine correlates with most sleep characteristics except sleep efficiency. These amino acids not only compete with tryptophan for brain transport but also influence GABAergic neurotransmission and excitation inhibition balance, potentially affecting sleep-wake regulation. Sleep disturbances consistently alter BCAA plasma concentrations, with insomnia patients showing time dependent changes: leucine and isoleucine decrease during nighttime hours, while valine remains elevate regardless of circadian phase. Sleep deprivation and restriction studies in both humans and rodents demonstrate increased plasma BCAA levels, suggesting that these amino acids may serve as biomarkers for sleep wake dysregulation [42,43].

The timing of protein consumption significantly influences both sleep architecture and cognitive performance through interactions with circadian rhythms and metabolic processes. Pre-sleep protein ingestion, particularly casein due to its slow digesting properties, effectively promotes overnight muscle protein synthesis while potentially supporting sleep quality. Studies demonstrate that 40grams of casein consumed before sleep increases overnight muscle protein synthesis rates by approximately 22% compared to placebo, with amino acid availability remaining elevated throughout the sleep period. However, the relationship between meal timing and sleep appears biphasic: while protein enriched meals consumed in close proximity to bedtime may improve certain sleep parameters, excessive caloric intake within 2.5 hours of sleep onset, particularly during elevated melatonin levels, can impair glucose tolerance and disrupt circadian metabolic processes. The optimal approach appears to involve adequate protein distribution throughout the day with specific attention to the tryptophan to LNAA ration, combined with appropriate meal timing that respects circadian melatonin rhythms to support both sleep quality and next day cognitive stability [39,44,45,46,47].
Glycemic Control: Next Day Cognitive Effects and Mechanisms
Glycemic control demonstrates profound and complex effects on next day cognitive performance through multiple interconnected pathways involving sleep architecture disruption, neuroinflammatory cascades, and direct neurotoxic effects on brain tissue. Contemporary research utilizing continuous glucose monitoring (CGM) combined with ambulatory cognitive testing has revealed that overnight glucose variability, particularly expressed as coefficient of variation, is strongly associated with impaired sustained attention and reduced engagement in cognitively demanding activities the following day. The relationship between nocturnal glucose fluctuations and next-day cognitive impairment appears mediated, in part, by sleep fragmentation, whereby higher overnight glucose variability leads to increased wake after sleep onset, more frequent arousals, and overall poorer sleep quality. This sleep disruption subsequently translates to measurable deficits in attention, working memory, and processing speed during waking hours, establishing a clear mechanistic pathway from metabolic dysregulation to cognitive dysfunction [48,49,50,51].

The neurobiological mechanisms underlying glucose-mediated cognitive impairment operate through both acute and chronic pathways that directly affect brain function and structure. Acute hyperglycemia (glucose >250mg/dL) significantly impairs speed of information processing, working memory, and selective attention within hours of occurrence, with performance deficits persisting into the following day. These acute effects appear mediated by glucose-induced oxidative stress, inflammatory cytokine release and direct disruption of neurotransmitter balance, particularly affecting dopaminergic and cholinergic systems crucial for attention and executive function. Conversely, hypoglycemia below 70mg/dL triggers counterregulatory hormone responses including epinephrine, cortisol, and glucagon that disrupt sleep continuity through sympathetic nervous system activation, leading to earlier wake times and fragmented sleep architecture. The International Hypoglycemia Study Group level 2 hypoglycemia (<54mg/dL) consistently impairs cognitive performance across multiple domains, with effect sizes ranging from small to medium, regardless of diabetes status or hypoglycemia awareness [48,51,52,53,54].
The temporal dynamics of glucose effects on cognitive performance reveal distinct patterns depending on the timing and severity of glycemic excursions. Postprandial glucose responses to evening meals directly influence sleep onset latency with lower postprandial glucose and minimal nocturnal glucose variation associated with shorter sleep onset times and improved sleep quality. The evening meal’s glycemic load appears particularly critical, as large glucose and insulin excursions during the pre-sleep period (within 2-3 hours of bedtime) can suppress deep sleep stages and disrupt normal sleep architecture, subsequently impairing memory consolidation and attention restoration processes. This relationship is further complicated by the cortisol awakening response (CAR), which normally facilitates cognitive preparation for daily activities but can be dysregulated by overnight glucose variability, resulting in altered morning cortisol patterns that negatively impact episodic memory and executive function [1,50,55,56].
The clinical implications of glycemic control on cognitive performance extend beyond immediate metabolic effects to encompass long-term neuroadaptive changes that influence daily functioning and quality of life. Longitudinal studies demonstrate that trajectories of glycemic control over time, rather than single point measurements, are the strongest predictors of cognitive performance, with individuals maintaining stable, optimal glucose levels showing superior performance in semantic categorization, executive function, and overall cognition compared to those with variable or consistently poor control. The cumulative burden of glucose variability appears particularly detrimental with studies showing that even moderate increases in overnight glucose coefficient of variation translate to measurable decreases in next day task engagement, increased sedentary behavior, and reduced participation in mentally demanding activities. These findings underscore the importance of addressing not only mean glucose levels but also glucose stability as a critical determinant of cognitive health and daily functional capacity [48,50,57,58].
Mechanistic Insights: How Diet Modulates Sleep and Alertness
The mechanistic pathways through which diet modulates sleep and alertness involve complex interactions between metabolic signaling, neurotransmitter synthesis, and circadian regulation that collectively orchestrate sleep-wake cycles and cognitive performance. Insulin spikes, tryptophan uptake, and melatonin production represent interconnected pathways where carbohydrate consumption triggers rapid insulin release that facilitates the competitive uptake of LNAAs including leucine, isoleucine, valine, tyrosine, and phenylalanine into peripheral muscle tissue. This insulin-mediated sequestration of competing amino acids increases the relative proportion of tryptophan remaining in circulation, thereby enhancing its transport across the blood brain barrier via the LNAA transporter system. Once in the brain, tryptophan undergoes enzymatic conversion to serotonin through tryptophan hydroxylase (the rate-limiting step) and aromatic L-amino acid decarboxylase, with serotonin subsequently serving as the precursor for melatonin synthesis through N-acetyltransferase and hydroxyindole-O-methyltransferase. However, this classical mechanism requires extremely low protein intake (<2% of total calories) to be physiologically relevant, limiting its applicability to normal dietary patterns. Importantly, in individuals with metabolic disorders, chronic inflammation drives tryptophan metabolism preferentially through the kynurenine pathway via indoleamine 2,3-dioxygenase, reducing substrate availability for serotonin and melatonin production [1,16,59,60,61].

Glucose fluctuations versus steady state fat metabolism profoundly influence sleep architecture and alertness through distinct neuroenergetic pathways and neural network stability. During normal sleep, glucose utilization follows a characteristic pattern with highest consumption during wakefulness, intermediate levels during REM sleep (reflecting intense neuronal activity), and lowest utilization during NREM sleep, resulting in an overall 15% reduction in metabolic rate. Glucose fluctuations disrupt this pattern by activating glucose-sensing orexin neurons in the lateral hypothalamus, which function as “conditional glucosensors” that respond to glucose changes only when intracellular energy levels (pyruvate, lactate, ATP) are low. High glucose levels normally inhibit orexin neurons through extracellular tandem-pore K+ channels, promoting sleep, while hypoglycemia triggers orexin activation and arousal responses. Conversely, steady state fat metabolism during ketogenic dietary states provides more stable neural energy supply through b-hydroxybutyrate, which crosses the blood brain barrier efficiently and generates approximately 27% more ATP per molecule than glucose while producing fewer reactive oxygen species. This metabolic stability correlates with enhanced brain network coherence and sustained cognitive performance independent of glycemic fluctuations [62,63,64,65,66,67].
Neuroendocrine regulation and circadian biology integrate dietary signals through multiple hormonal pathways that synchronize central and peripheral clocks while modulating sleep-wake cycles, the suprachiasmatic nucleus (SCN) drives cortisol rhythms through both direct autonomic projections to the adrenal cortex and indirect pathways via paraventricular nucleus CRH neurons, with cortisol serving as the primary peripheral clock synchronizer. Sleep restriction significantly elevates late afternoon/early evening cortisol patterns and impairing next-day cognitive function. Growth hormone secretion peaks during sleep initiation and slow-wave sleep, while exhibiting anti-insulin effects that contribute to relative insulin resistance during early sleep phases. The orexin system integrates these neuroendocrine signals with metabolic cues, responding to leptin, ghrelin, and glucose levels while exhibiting intrinsic circadian rhythmicity driven by SCN projections. Meal timing serves as a powerful zeitgeber for peripheral clocks through postprandial rises in insulin, glucose and incretin hormones (oxyntomodulin, GLP-1) that directly induce phase shifts in liver, kidney, and other peripheral tissues. Consuming meals during elevated melatonin periods (circadian night) impairs glucose tolerance and disrupts peripheral clock synchronization, while early meal timing enhances glucose metabolism and maintains proper circadian alignment between central and peripheral oscillators [68,69,70,71,72,73].
Evidence-Based diets for Sleep Optimization
Role Of Plant Based and Mediterranean Diets in Sleep Quality
Plant-based diets demonstrate significant sleep-promoting effects through multiple complementary pathways involving enhanced tryptophan availability, improved gut microbiome function, and reduced systemic inflammation. Plant-based foods are characteristically rich in tryptophan containing proteins that serve as precursors for serotonin and melatonin synthesis, with the Mediterranean diet pattern particularly enhancing intake of sleep-promoting compounds including tryptophan, melatonin and polyphenols. The tryptophan to LNAA ratio in plant proteins appears more favorable for brain tryptophan uptake compared to animal proteins, potentially explaining the positive associations between plant protein consumption and sleep duration observed in epidemiological studies. Beyond amino acid profiles, plant-based diets provide abundant dietary fiber that undergoes bacterial fermentation in the colon to produce short-chain fatty acids (SCFAs), particularly butyrate, which has been shown to increase non-rapid eye movement sleep by 70% in animal models. The gut microbiome-sleep axis represents a critical mechanistic pathway, as balanced plant-rich diets enhance production of sleep regulating metabolites including GABA, serotonin, and melatonin while reducing inflammatory cytokines that disrupt sleep architecture.
The Mediterranean diet patten exhibits particularly robust associations with sleep quality across diverse populations, with meta-analytic evidence demonstrating that greater adherence correlates with adequate sleep duration, improved sleep efficiency, reduced sleep onset latency, and decreased daytime sleepiness. The beneficial effects appear mediated by the diet’s characteristic richness in polyphenols (mean intake 820 ±323 mg daily), monounsaturated fatty acids from olive oil, omega-3 fatty acids from fish, and bioactive compounds from fruits, vegetables, nuts and whole grains. Polyphenolic compounds including flavonoids, phenolic acids, and stilbenes demonstrate neuroprotective effects through multiple mechanisms including enhanced BDNF expression, reduced neuroinflammation, and modulation of circadian clock gene expression. Clinical studies reveal that specific Mediterranean diet components show differential associations with sleep parameters: olive oil consumption emerges as particularly protective, while the favorable MUFA to PUFA ratio and higher unsaturated fat intake predict better sleep quality longitudinally. Importantly, the synergistic combination of foods and nutrients within the Mediterranean pattern appears more predictive of sleep improvements than individual components alone, suggesting that the dietary pattern’s anti-inflammatory properties (characterized by low dietary inflammatory index scores) collectively support optimal sleep-wake regulation [74,75,76].
Comparative Studies: Dietary Interventions and Outcome Measures
Randomized controlled trials employing objective sleep measurement techniques have provided compelling evidence for dietary interventions’ efficacy in sleep optimization, with polysomnography and actigraphy revealing measurable improvements in sleep architecture parameters. A landmark 4-week chrono nutritional intervention study utilizing polysomnography demonstrated that personalized dietary plans combined with exercise training significantly improved sleep onset latency (decreased, p <0.001), sleep duration (increased, p=0.006), sleep efficiency (increased, p<0.001), and wake after sleep onset (decreased, p=0.0035), with parallel increases in REM sleep percentage regardless of carbohydrate timing or glycemic index. These objective improvements correlated with enhanced subjective sleep quality (p=0.043) and reduced daytime sleepiness (p=0.047), establishing the clinical relevance of the measured polysomnographic changes [77,78,79,80].
Specific food-based interventions have demonstrated measurable sleep benefits through targeted mechanisms involving endogenous melatonin production and neurotransmitter modulation. Tart cherry juice interventions consistently improve sleep parameters across multiple randomized trials, with objective actigraphy measurements showing increased total sleep time, enhanced sleep efficiency, and reduced sleep onset latency, alongside elevated urinary 6-suphatoxymelatonin levels indicating enhanced endogenous melatonin production. Similarly, kiwifruit consumption trials demonstrate dose-dependent sleep efficiency, subjective sleep quality, and sleep duration, potentially mediated through the fruit’s content of melatonin, serotonin, GABA-active compounds, and the protein actinidin which enhances amino acid bioavailability. Novel carbohydrate interventions utilizing low glycemic index compounds such as isomaltose have shown particular promise, with randomized crossover trials demonstrating 22 minute extensions in deep sleep duration alongside more stable overnight glucose levels compared to high-glycemic alternatives [78,79,80].
Dietary fiber interventions represent another evidence-based approach for sleep optimization, with cross-sectional studies in diverse populations showing inverse associations between fiber intake and poor sleep quality. Clinical evidence indicates that higher total dietary fiber intake (OR=0.51, 95% CI:0.31-0.85), insoluble fiber consumption (OR=0.54, 95% CI:0.33-0.89), an soluble fiber from vegetables (OR=0.61, 95% CI:0.33-0.89), and soluble fiber from vegetables (OR=0.61, 95% CI:0.40-0.93) are independently associated with reduced prevalence of poor sleep quality after adjustment for cofounders. Interventional studies utilizing specific fiber sources such as psyllium husk demonstrate significant improvements in gastrointestinal symptoms that indirectly benefit sleep, while laboratory-controlled feeding studies show that higher fiber intake correlates with increased slow-wave sleep duration and fewer sleep disruptions. The mechanistic basis for fiber’s sleep promoting effects likely involves stabilization of blood glucose levels throughout the night, enhanced SCFA production by beneficial gut microbiota, and reduced systemic inflammation, all factors that support optimal sleep architecture and continuity [81,82,83,84,85].
Practical Applications and implications
Diet Strategies for Shift Workers and Students
Shift workers face unique nutritional challenges that require tailored dietary approaches to maintain optimal alertness and cognitive performance during non-conventional working hours. Strategic meal timing represents one of the most critical interventions, with evidence demonstrating that consuming approximately 20% of daily caloric intake during a light midnight meal, 25% during post-shift breakfast, 15% as an afternoon snack, and 40% during early dinner (18:00-20:00 hours) helps synchronize food intake with periods of optimal metabolic function. This chronobiological approach reduces nocturnal glycemic variability by 31% compared to traditional shift eating patterns and addresses the fundamental challenge of circadian rhythm misalignment. For fixed night shift workers, the pre-shift meal should contain approximately 40grams of lean protein paired with complex carbohydrates to serve as metabolic “breakfast”, while mid0shift meals should feature 20-30 grams of protein with slow-release carbohydrates to maintain energy without inducing postprandial drowsiness. Research indicates that protein-forward nutrition plans decrease nocturnal hunger by 23% and help maintain stable energy levels throughout extended work periods [86,87,88].
Students require distinct nutritional strategies that support sustained cognitive performance during periods of intensive academic work and irregular schedules. Breakfast quality emerges as particularly critical, with meta-analytic evidence demonstrating that students consuming balanced breakfasts containing complex carbohydrates, protein and healthy fats show superior academic performance and problem-solving abilities compared to those skipping breakfast or consuming high sugar alternatives. The optimal breakfast composition includes whole grain cereals for sustained energy release, eggs for mental alertness through protein provision, and yogurt with nuts providing probiotics and healthy fats that support cognitive function. For students facing time constraints, prepared options such as overnight oats with chia seeds and berries, or Greek yogurt parfaits with nuts and fruits, provide convenient yet nutritionally balanced alternatives that support both immediate alertness and long-term cognitive health. The inclusion of omega-3 fatty acids from sources like walnuts, flaxseeds, and fatty fish appears particularly beneficial, as 40% of brain fats consist of DHA and these compounds directly support memory retention and cognitive processing [89].
Guidelines For Managing Daytime Fatigue Through Macronutrient Manipulation
Macronutrient composition profoundly influences daytime alertness and excessive daytime sleepiness (EDS), with specific substitution patterns demonstrating measurable effects on cognitive performance. Iso-caloric substitution analysis reveals that replacing 5% of energy intake from protein with saturated fat increases the odds of EDS by 57% (OR=1.57, 95% CI:1.00-2.45), while substituting protein with carbohydrate increases EDS odds by 23% (OR=1.23, 95% CI: 0.92-1.65). conversely, replacing saturated fat with protein reduces EDS odds by 37% (OR=0.63, 95% CI:0.41-0.99), indicating that protein prioritization represents a critical strategy for maintaining daytime alertness. The timing of macronutrient consumption appears equally important, with evidence demonstrating that consuming foods 1-2 hours before tasks requiring optimal alertness minimizes detrimental effects on performance [90,91].
The mechanism underlying protein’s alertness promoting effects involves amino acid competition for brain transport, particularly the balance between tryptophan and large neutral amino acids (tyrosine, phenylalanine, leucine). Military research has established that meals containing less than 4% protein reliably induce post meal fatigue through enhanced tryptophan brain uptake and subsequent serotonin synthesis, while balanced meals containing 8% or more protein actually lower the tryptophan ratio and maintain alertness. This finding has practical applications for managing energy levels throughout the day: high-carbohydrate, low-protein foods can be strategically used to promote sleep when consumed in evening hours, while protein enriched meals should be prioritized during periods requiring sustained attention and cognitive performance. The optimal macronutrient distribution for maintaining alertness appears to involve consistent protein consumption throughout the day (1.6-1.8g/kg body weight), strategic carbohydrate timing that emphasizes complex sources during morning hours, and healthy fat inclusion that supports sustained energy without inducing postprandial somnolence [91,92].
Individual Variability and Personalized Nutrition Approaches
Personalized nutrition approaches increasingly utilize CGM, sleep tracking, and dietary assessment to tailor interventions to individual circadian and metabolic profiles. Successful personalized interventions combine individual specific information including work schedules, social obligations, chronotype assessment, and metabolic biomarkers to develop targeted recommendations that account for both biological predispositions and lifestyle constraints. This approach has demonstrated superior efficacy compared to generic dietary advice, with personalized interventions showing greater dietary advice, with personalized interventions showing greater dietary improvement and sustained behavioral change. The integration of genetic testing, particularly for clock genes and caffeine metabolism variants, with objective monitoring of sleep, glucose and activity patterns, represents the emerging frontier of precision nutrition for optimizing alertness and cognitive performance across diverse populations and occupational demands [87].
Future Directions
Future directions for research and practice on the impact of diet on sleep and alertness involve integrating precision nutrition principles, advancing mechanistic studies, and expanding well-controlled clinical trials to optimize dietary interventions for diverse populations. One major focus is the modulation of glycemic and insulinemic responses, particularly through evening meals, which has shown promising effect on sleep quality and next-day cognitive function. Recent evidence highlights that optimal glycemic control, achieved by targeting lower postprandial glucose spikes and maintaining stable nocturnal glucose levels, predicts better sleep onset latency, sleep duration, and improved executive functions such as sustained attention and memory consolidation. Future clinical trials are needed to systematically manipulate macronutrient composition, energy density, and timing of meals before sleep while using advanced sleep and cognitive outcome measures such as polysomnography, CGM, and next-day neuropsychological testing [50].
Conclusion
In summary, current evidence demonstrate dietary patterns, encompassing macronutrient composition, meal timing, and specific bioactive nutrients play a critical role in regulating sleep quality, sleep architecture, and daytime alertness, ultimately impacting cognitive performance and metabolic health. High carbohydrate, high glycemic diets are linked to disrupted sleep and fluctuating alertness, while high-fat, low-carbohydrate (ketogenic) diets and protein-forward nutritional strategies support more stable sleep and sustained mental performance. Plant-based and Mediterranean-style diets, rich in fiber, tryptophan, and anti-inflammatory compounds, are consistently associated with enhanced sleep efficiency and quality, partyly via gut microbiome modulation and glucose stability. Personalized nutrition, integrating genetic, metabolic, and chronotype variables, is emerging as the optimal approach for dietary interventions aimed at improving sleep and cognitive outcomes. Going forward, precision nutrigenomic research and chrononutritional protocols hold promise for optimizing diet-based strategies to prevent and manage sleep disorders and cognitive fatigue in diverse populations.
References
- St-Onge MP, Mikic A, Pietrolungo CE. Effects of Diet on Sleep Quality. Advances in Nutrition. 2016 Sep 7;7(5):938–49.
 - Zhao M, Tuo H, Wang S, Zhao L. The Effects of Dietary Nutrition on Sleep and Sleep Disorders. Mediators of Inflammation [Internet]. 2020 Jun 25;2020(3142874):1–7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334763/
 - Godos J, Grosso G, Castellano S, Galvano F, Caraci F, Ferri R. Association between diet and sleep quality: a systematic review. Sleep Medicine Reviews. 2021 Jan;57(57):101430.
 - KAYA NN, CEBIRBAY MA. The Effects of Food Intake and Eating Behavior on Sleep Quality in Adolescents. Amerta Nutrition. 2022 Nov 24;6(4):414–21.
 - Hamidi MS, Shanafelt TD, Hausel A, Bohman BD, Roberts R, Trockel MT. Associations Between Dietary Patterns and Sleep-Related Impairment in a Cohort of Community Physicians: A Cross-sectional Study. American Journal of Lifestyle Medicine. 2019 Sep 10;155982761987192.
 - Zhao X, Xie X, Zhou H, Zhong F, Liu C. Relationship between sleep quality and dietary nutrients in rural elderly individuals: a latent class analysis. Frontiers in Nutrition. 2025 Jan 20;12.
 - Arab A, Lempesis IG, Garaulet M, Scheer FAJL. Sleep and the Mediterranean diet: A systematic review and meta-analysis. Sleep Medicine Reviews [Internet]. 2025 Feb 7;80:102071. Available from: https://www.sciencedirect.com/science/article/pii/S1087079225000243
 - Wilson K, St-Onge MP, Tasali E. Diet Composition and Objectively Assessed Sleep Quality: A Narrative Review. Journal of the Academy of Nutrition and Dietetics [Internet]. 2022 Jan 17;0(0). Available from: https://www.jandonline.org/article/S2212-2672(22)00038-7/pdf#relatedArticles
 - St-Onge MP, Mikic A, Pietrolungo CE. Effects of Diet on Sleep Quality. Advances in Nutrition. 2016 Sep 7;7(5):938–49.
 - Brinkman JE, Sharma S, Reddy V. Physiology of Sleep [Internet]. PubMed. Treasure Island (FL): StatPearls Publishing; 2023. Available from: https://www.ncbi.nlm.nih.gov/books/NBK482512/
 - Thomas M, Sing H, Belenky G, Holcomb H, Mayberg H, Dannals R, et al. Neural basis of alertness and cognitive performance impairments during sleepiness. I. Effects of 24 h of sleep deprivation on waking human regional brain activity. Journal of Sleep Research [Internet]. 2000 Dec 18;9(4):335–52. Available from: https://pubmed.ncbi.nlm.nih.gov/11123521/
 - Santhi N, Groeger JA, Archer SN, Gimenez M, Schlangen LJM, Dijk DJ. Morning Sleep Inertia in Alertness and Performance: Effect of Cognitive Domain and White Light Conditions. PLoS ONE [Internet]. 2013 Nov 18;8(11). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832615/
 - Wardle-Pinkston S, Slavish DC, Taylor DJ. Insomnia and cognitive performance: A systematic review and meta-analysis. Sleep Medicine Reviews. 2019 Aug;48
 - Diekelmann S. Sleep for Cognitive Enhancement. Frontiers in Systems Neuroscience. 2014 Apr 2;8(46).
 - Suni E, Vyas N. How lack of sleep impacts cognitive performance and focus [Internet]. Sleep Foundation. 2023. Available from: https://www.sleepfoundation.org/sleep-deprivation/lack-of-sleep-and-cognitive-impairment
 - Benton D, Bloxham A, Gaylor C, Brennan A, Young HA. Carbohydrate and sleep: An evaluation of putative mechanisms. Frontiers in Nutrition. 2022 Sep 21;9.
 - Mantantzis K, Campos V, Darimont C, Martin FP. Effects of Dietary Carbohydrate Profile on Nocturnal Metabolism, Sleep, and Wellbeing: A Review. Frontiers in Public Health. 2022 Jul 13;10.
 - St-Onge MP, Cherta-Murillo A, Darimont C, Mantantzis K, Martin FP, Owen L. The interrelationship between sleep, diet, and glucose metabolism. Sleep Medicine Reviews. 2023 Apr;69:101788.
 - Jansen K, Tempes J, Drozdowska A, Gutmann M, Falkenstein M, Buyken AE, et al. Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study. European Journal of Clinical Nutrition [Internet]. 2020 May 1;74(5):757–64. Available from: https://www.nature.com/articles/s41430-020-0600-0#:~:text=Instead%2C carbohydrate-rich foods causing a slower and prolonged
 - Orr WC, Shadid G, Harnish MJ, Elsenbruch S. Meal composition and its effect on postprandial sleepiness. Physiology & Behavior [Internet]. 1997 Oct 1 [cited 2020 Mar 8];62(4):709–12. Available from: https://www.ncbi.nlm.nih.gov/pubmed/9284488
 - Lehrskov LL, Dorph E, Widmer AM, Hepprich M, Siegenthaler J, Timper K, et al. The role of IL-1 in postprandial fatigue. Molecular Metabolism. 2018 Jun;12:107–12.
 - Philippou E, Constantinou M. The Influence of Glycemic Index on Cognitive Functioning: A Systematic Review of the Evidence. Advances in Nutrition [Internet]. 2014 Jan 6;5(2):119–30. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951795/
 - Jauch-Chara K, Hallschmid M, Gais S, Oltmanns KM, Peters A, Born J, et al. Awakening and Counterregulatory Response to Hypoglycemia During Early and Late Sleep. Diabetes. 2007 Mar 30;56(7):1938–42.
 - Wang JH, Guo L, Wang S, Yu NW, Guo FQ. The potential pharmacological mechanisms of β-hydroxybutyrate for improving cognitive functions. Current Opinion in Pharmacology [Internet]. 2022 Feb 1;62:15–22. Available from: https://pubmed.ncbi.nlm.nih.gov/34891124/
 - Holstein DM, Saliba A, Lozano D, Kim J, Sharma K, Lechleiter JD. βhydroxybutyrate enhances brain metabolism in normoglycemia and hyperglycemia, providing cerebroprotection in a mouse stroke model. Journal of Cerebral Blood Flow & Metabolism. 2025 Apr 12;
 - Masood W, Uppaluri KR, Annamaraju P, Khan Suheb MZ. Ketogenic diet [Internet]. National Library of Medicine. StatPearls Publishing; 2023. Available from: https://www.ncbi.nlm.nih.gov/books/NBK499830/
 - Raefsky SM, Mattson MP. Adaptive responses of neuronal mitochondria to bioenergetic challenges: Roles in neuroplasticity and disease resistance. Free Radical Biology and Medicine. 2017 Jan;102:203–16.
 - Mujica-Parodi LR, Amgalan A, Sultan SF, Antal B, Sun X, Skiena S, et al. Diet modulates brain network stability, a biomarker for brain aging, in young adults. Proceedings of the National Academy of Sciences. 2020 Mar 3;117(11):6170–7.
 - The Role of Ketogenic Metabolic Therapy on the Brain in Serious Mental Illness: A Review. Journal of Psychiatry and Brain Science [Internet]. 2022; Available from: https://jpbs.hapres.com/UpLoad/PdfFile/JPBS_1500.pdf
 - Hu E, Du H, Shang S, Zhang Y, Lu X. Beta-Hydroxybutyrate Enhances BDNF Expression by Increasing H3K4me3 and Decreasing H2AK119ub in Hippocampal Neurons. Frontiers in Neuroscience. 2020 Oct 28;14.
 - Qiao YN, Li L, Hu SH, Yang YX, Ma ZZ, Huang L, et al. Ketogenic diet-produced β-hydroxybutyric acid accumulates brain GABA and increases GABA/glutamate ratio to inhibit epilepsy. Cell Discovery. 2024 Feb 13;10(1).
 - O’Hearn LA. Signals of energy availability in sleep: consequences of a fat-based metabolism. Frontiers in Nutrition. 2024 Aug 29;11.
 - Tay J, Zajac IT, Thompson CH, Luscombe-Marsh ND, Danthiir V, Noakes M, et al. A randomised-controlled trial of the effects of very low-carbohydrate and high-carbohydrate diets on cognitive performance in patients with type 2 diabetes. British Journal of Nutrition. 2016 Nov 23;116(10):1745–53.
 - Ludovica Pasca, Carlo Alberto Quaranta, Grumi S, Martina Paola Zanaboni, Tagliabue A, Guglielmetti M, et al. The effects of ketogenic dietary therapies on sleep: A scoping review. Journal of Sleep Research. 2023 Nov 6;
 - Robberechts R, Geneviève Albouy, Hespel P, Chiel Poffè. Exogenous Ketosis Improves Sleep Efficiency and Counteracts the Decline in REM Sleep after Strenuous Exercise. Medicine and Science in Sports and Exercise. 2023 Jun 1;55(11):2064–74.
 - Choi J, Kang J, Kim T, Nehs CJ. Sleep, mood disorders, and the ketogenic diet: potential therapeutic targets for bipolar disorder and schizophrenia. Frontiers in Psychiatry. 2024 Feb 14;15.
 - Brinkworth GD. Long-term Effects of a Very Low-Carbohydrate Diet and a Low-Fat Diet on Mood and Cognitive Function. Archives of Internal Medicine. 2009 Nov 9;169(20):1873.
 - Zhang C, Xu Y, Li W, Wu Q, Hou B, Li Q, et al. Impact of protein consumption on sleep problems: Insights from NHANES data. Deleted Journal. 2024 Nov 8;0(0):4148–8.
 - Sutanto CN, Loh WW, Toh DWK, Lee DPS, Kim JE. Association Between Dietary Protein Intake and Sleep Quality in Middle-Aged and Older Adults in Singapore. Frontiers in Nutrition. 2022 Mar 9;9.
 - Suzuki F, Morita E, Miyagi S, Tsujiguchi H, Hara A, Nguyen TTT, et al. Protein intake in inhabitants with regular exercise is associated with sleep quality: Results of the Shika study. Moran JM, editor. PLOS ONE. 2021 Feb 26;16(2):e0247926.
 - Sejbuk M, Mirończuk-Chodakowska I, Witkowska AM. Sleep Quality: A Narrative Review on Nutrition, Stimulants, and Physical Activity as Important Factors. Nutrients [Internet]. 2022 May 2;14(9). Available from: https://www.mdpi.com/2072-6643/14/9/1912
 - Li H, Laurent Seugnet. Decoding the nexus: branched-chain amino acids and their connection with sleep, circadian rhythms, and cardiometabolic health. Neural Regeneration Research [Internet]. 2024 Jun 3 [cited 2024 Oct 11];20(5):1350–63. Available from: https://journals.lww.com/nrronline/fulltext/2025/05000/decoding_the_nexus__branched_chain_amino_acids_and.10.aspx
 - Matricciani L, Dumuid D, Paquet C, Lushington K, Olds T. Branched‐chain amino acids and sleep: a population‐derived study of Australian children aged 11–12 years and their parents. Journal of Sleep Research. 2023 Feb 23;
 - Kim J. Pre-sleep casein protein ingestion: new paradigm in post-exercise recovery nutrition. Physical Activity and Nutrition. 2020 Jun 30;24(2):6–10.
 - Snijders T, Trommelen J, Kouw IWK, Holwerda AM, Verdijk LB, van Loon LJC. The Impact of Pre-sleep Protein Ingestion on the Skeletal Muscle Adaptive Response to Exercise in Humans: an Update. Frontiers in Nutrition [Internet]. 2019 Mar 6;6(17). Available from: https://www.frontiersin.org/articles/10.3389/fnut.2019.00017/full
 - Muteber Gizem Keser, Aysun Yüksel. An Overview of the Relationship Between Meal Timing and Sleep. Türk uyku tıbbı dergisi. 2024 Mar 1;11(1):20–5.
 - BaHammam AS, Pirzada R. Timing matters: The interplay between early mealtime, circadian rhythms, gene expression, circadian hormones, and metabolism—a narrative review. Clocks & sleep [Internet]. 2023 Sep 6;5(3):507–35. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC10528427
 - Pyatak EA, Spruijt-Metz D, Schneider S, Hernandez R, Pham LT, Hoogendoorn CJ, et al. Impact of Overnight Glucose on Next-Day Functioning in Adults With Type 1 Diabetes: An Exploratory Intensive Longitudinal Study. Diabetes Care [Internet]. 2023 Jul 1;46(7):1345–53. Available from: https://pubmed.ncbi.nlm.nih.gov/36862940/
 - Germine LT, Han SD, Chaytor NS. New Methods Permit a Science of Everyday Functioning in Type 1 Diabetes. Diabetes Care. 2023 Jun 20;46(7):1330–1.
 - Longis ED, Kassis A, Noëla Rémond-Derbez, Thota R, Darimont C, Donato-Capel L, et al. Cognitive benefits of sleep: a narrative review to explore the relevance of glucose regulation. SLEEP Advances [Internet]. 2024 Dec 18;6(1). Available from: https://academic.oup.com/sleepadvances/article/6/1/zpae095/7927912?login=false
 - Griggs S, Redeker NS, Jeon S, Grey M. Daily variations in sleep and glucose in adolescents with type 1 diabetes. Pediatric Diabetes. 2020 Sep 28;21(8):1493–501.
 - Sommerfield AJ, Deary IJ, Frier BM. Acute Hyperglycemia Alters Mood State and Impairs Cognitive Performance in People With Type 2 Diabetes. Diabetes Care [Internet]. 2004;27(10):2335–40. Available from: http://care.diabetesjournals.org/content/diacare/27/10/2335.full.pdf
 - Zhang S, Zhang Y, Wen Z, Yang Y, Bu T, Bu X, et al. Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain. Frontiers in Endocrinology. 2023 Jun 16;14.
 - Verhulst CEM, Fabricius TW, Nefs G, Kessels RPC, Pouwer F, Teerenstra S, et al. Consistent Effects of Hypoglycemia on Cognitive Function in People With or Without Diabetes. Diabetes Care. 2022 Jul 25;45(9):2103–10.
 - Law R, Clow A. Stress, the cortisol awakening response and cognitive function. International Review of Neurobiology. 2020;150:187–217.
 - Ennis GE, Moffat SD, Hertzog C. The cortisol awakening response and cognition across the adult lifespan. Brain and Cognition. 2016 Jun;105:66–77.
 - Ravona-Springer R, Heymann A, Schmeidler J, Moshier E, Godbold J, Sano M, et al. Trajectories in Glycemic Control over Time Are Associated with Cognitive Performance in Elderly Subjects with Type 2 Diabetes. Ginsberg SD, editor. PLoS ONE. 2014 Jun 2;9(6):e97384.
 - Sebastian MJ, Khan SK, Pappachan JM, Jeeyavudeen MS. Diabetes and Cognitive function: an evidence-based Current Perspective. World Journal of Diabetes [Internet]. 2023 Feb 15;14(2):92–109. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC10011899/
 - Gao J, Yang T, Song B, Ma X, Ma Y, Lin X, et al. Abnormal tryptophan catabolism in diabetes mellitus and its complications: Opportunities and challenges. Biomedicine & Pharmacotherapy [Internet]. 2023 Oct 1 [cited 2023 Dec 5];166:115395. Available from: https://www.sciencedirect.com/science/article/pii/S0753332223011939
 - Zuraikat FM, Wood RA, Barragán R, St-Onge MP. Sleep and Diet: Mounting Evidence of a Cyclical Relationship. Annual Review of Nutrition. 2021 Aug 4;41(1).
 - Tang J, Krushelnycky L, Abir Shaqo, Cho CE. A comprehensive review of nutritional influences on the serotonergic system. Advances in Nutrition. 2025 Sep 1;100524–4.
 - St-Onge MP, Cherta-Murillo A, Darimont C, Mantantzis K, Martin FP, Owen L. The interrelationship between sleep, diet, and glucose metabolism. Sleep Medicine Reviews. 2023 Apr;69:101788.
 - Motori E, Atanassov I, Kochan SMV, Folz-Donahue K, Sakthivelu V, Giavalisco P, et al. Neuronal metabolic rewiring promotes resilience to neurodegeneration caused by mitochondrial dysfunction. Science Advances. 2020 Aug 28;6(35).
 - Mujica-Parodi LR, Amgalan A, Sultan SF, Antal B, Sun X, Skiena S, et al. Diet modulates brain network stability, a biomarker for brain aging, in young adults. Proceedings of the National Academy of Sciences. 2020 Mar 3;117(11):6170–7.
 - Sharma S, Kavuru M. Sleep and metabolism: An overview. International Journal of Endocrinology [Internet]. 2010;2010(270832):1–12. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2929498/
 - Nowak N, Gaisl T, Miladinovic D, Marcinkevics R, Osswald M, Bauer S, et al. Rapid and reversible control of human metabolism by individual sleep states. Cell Reports. 2021 Oct;37(4):109903.
 - Hanan Bouâouda, Pawan Kumar Jha. Orexin and MCH neurons: regulators of sleep and metabolism. Frontiers in Neuroscience. 2023 Aug 22;17.
 - O’Byrne NA, Yuen F, Butt WZ, Liu PY. Sleep and circadian regulation of cortisol: A short review. Current Opinion in Endocrine and Metabolic Research [Internet]. 2021 Jun 1;18(18):178–86. Available from: https://www.sciencedirect.com/science/article/pii/S2451965021000363?via%3Dihub
 - Begemann K, Rawashdeh O, Olejniczak I, Violetta Pilorz, Vinícius L, Osorio-Mendoza J, et al. Endocrine regulation of circadian rhythms. Deleted Journal [Internet]. 2025 Mar 8;2(1). Available from: https://www.nature.com/articles/s44323-025-00024-6
 - Gotlieb N, Moeller J, Kriegsfeld LJ. Circadian control of neuroendocrine function: implications for health and disease. Current Opinion in Physiology. 2018 Oct;5:133–40.
 - Milbank E, López M. Orexins/Hypocretins: Key Regulators of Energy Homeostasis. Frontiers in Endocrinology. 2019 Dec 10;10.
 - Grosjean E, Simonneaux V, Challet E. Reciprocal Interactions between Circadian Clocks, Food Intake, and Energy Metabolism. Biology [Internet]. 2023 Apr 1;12(4):539. Available from: https://www.mdpi.com/2079-7737/12/4/539
 - Pickel L, Sung HK. Feeding Rhythms and the Circadian Regulation of Metabolism. Frontiers in Nutrition [Internet]. 2020 Apr 17;7(39). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182033/
 - fallah M, Azadeh Aminianfar, Esmaillzadeh A. Mediterranean diet adherence and sleep pattern: a systematic review of observational studies. BMC nutrition. 2024 Mar 4;10(1).
 - Scoditti E, Tumolo MR, Garbarino S. Mediterranean Diet on Sleep: A Health Alliance. Nutrients [Internet]. 2022 Jan 1;14(14):2998. Available from: https://www.mdpi.com/2072-6643/14/14/2998/htm
 - Golmohammadi M, Samadi M, Salimi Y, Nachvak SM, Ebrahimzadeh Attari V. The association of dietary inflammatory index with sleep outcomes: A systematic review. Health Promotion Perspectives [Internet]. 2024 Jul 29 [cited 2025 Mar 30];14(2):136–47. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11403336/#s7
 - Angelos Vlahoyiannis, Andreou E, Panagiotis Bargiotas, Aphamis G, Sakkas GK, Giannaki CD. The effect of chrono-nutritional manipulation of carbohydrate intake on sleep macrostructure: A randomized controlled trial. Clinical Nutrition. 2024 Mar 1;43(3):858–68.
 - gov. 2025 [cited 2025 Oct 7]. Available from: https://clinicaltrials.gov/study/NCT05953324
 - Cheon J, Kim M. Comprehensive effects of various nutrients on sleep. Sleep and Biological Rhythms. 2022 Aug 4;20(4):449–58.
 - Fateme Barforoush, Ebrahimi S, Abdar MK, Khademi S, Nava Morshedzadeh. The Effect of Tart Cherry on Sleep Quality and Sleep Disorders: A Systematic Review. Food Science & Nutrition. 2025 Sep 1;13(9).
 - Chen Y, Zhao Z, Ding W, Zhou Z, Xiao M. Association Between Dietary Fiber Intake and Sleep Disorders: Based on the NHANES Database. Brain and Behavior. 2024 Nov;14(11).
 - Anastasiia Polianovskaia, Jonelis M, Cheung J. The impact of plant-rich diets on sleep: a mini-review. Frontiers in Nutrition. 2024 Feb 6;11.
 - Bacha AA, Suhail M, Awwad FA, Ismail EAA, Ahmad H. Role of dietary fiber and lifestyle modification in gut health and sleep quality. Frontiers in Nutrition [Internet]. 2024 Apr 3;11:1324793. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11022964/
 - Zhang S, Liu SX, Wu QJ, Wang ZH, Liu H, Dong C, et al. Association of dietary fiber with subjective sleep quality in hemodialysis patients: a cross-sectional study in China. Annals of medicine (Helsinki)/Annals of medicine. 2023 Feb 8;55(1):558–71.
 - Sejbuk M, Siebieszuk A, Anna Maria Witkowska. The Role of Gut Microbiome in Sleep Quality and Health: Dietary Strategies for Microbiota Support. Nutrients [Internet]. 2024 Jul 13;16(14):2259–9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11279861/
 - Meal Planning for Shift Workers: Optimal Nutrition Strategies [Internet]. Rumen. 2025. Available from: https://www.rumen.com.au/article/balanced-meal-planning-shift-workers-optimal-nutrition/
 - van der Rhee M, Oosterman JE, Wopereis S, van der Horst GTJ, Chaves I, Dollé MET, et al. Personalized sleep and nutritional strategies to combat adverse effects of night shift work: a controlled intervention protocol. BMC Public Health. 2024 Sep 19;24(1).
 - Phoi YY, Keogh JB. Dietary Interventions for Night Shift Workers: A Literature Review. Nutrients. 2019 Sep 23;11(10):2276.
 - The Role of Nutrition in Academic Performance [Internet]. Trivandrum International School. 2024. Available from: https://trins.org/the-role-of-nutrition-in-academic-performance/
 - de G, Alexander, Sanne Boesveldt, Kaldenberg E, Holwerda T, Lansink M, et al. Macronutrient intake and alertness during night shifts – the time interval matters. Frontiers in Nutrition [Internet]. 2023 Nov 9;10. Available from: https://pubmed.ncbi.nlm.nih.gov/38024340/
 - Melaku, Reynolds, Gill, Appleton, Adams. Association between Macronutrient Intake and Excessive Daytime Sleepiness: An Iso-Caloric Substitution Analysis from the North West Adelaide Health Study. Nutrients. 2019 Oct 5;11(10):2374.
 - Research I of M (US) C on MN, Marriott BM. Carbohydrates, Protein,, and Performance [Internet]. www.ncbi.nlm.nih.gov. National Academies Press (US); 1994. Available from: https://www.ncbi.nlm.nih.gov/books/NBK209054/