Keywords: Metabolic Health, Insulin Sensitivity, Low-Glycemic Nutrition, Exercise and Glucose Control, Lifestyle Medicine
The Link Between Insulin, Glucose, and Long-Term Metabolic Health
Maintaining balanced blood glucose is a central strategy for promoting healthy longevity and reducing the burden of chronic cardiometabolic disease. Insulin functions as a key anabolic hormone that facilitates cellular glucose uptake and energy storage; however, with the development of insulin resistance, this finely tuned mechanism becomes impaired, resulting in chronic hyperglycemia and broader metabolic dysfunction. Age-related changes in body composition, declining insulin sensitivity, and altered beta-cell function further compound these disturbances, linking impaired glucose metabolism with accelerated physiological aging and cardiovascular risk.
Beyond average glycemic indices, emerging evidence highlights the role of glycemic variability, fluctuations in glucose and insulin over time, as an independent risk factor for macrovascular and microvascular complications. These excursions are associated with endothelial dysfunction, oxidative stress, low-grade inflammation, and vascular aging, thereby contributing to increased rates of cardiovascular events and mortality even when mean HbA1c appears acceptable. In addition, dysregulated glucose and insulin dynamics have been linked to neurodegenerative processes and cognitive decline, suggesting that metabolic health is intimately connected to brain aging and mental performance.
Taken together, these findings underscore the importance of proactively managing insulin–glucose homeostasis, not only to prevent type 2 diabetes, but also to preserve vascular integrity, cognitive function, and overall vitality across the lifespan. This perspective positions blood sugar regulation as a foundational target in preventive and longevity-focused medicine, integrating lifestyle, behavioural, and therapeutic interventions to support long-term metabolic resilience.
Understanding the Carbohydrate-Insulin Relationship
Carbohydrate ingestion is the primary postprandial driver of insulin secretion, with both the quantity and quality of carbohydrate determining the magnitude and duration of the insulin response. High–glycemic index (GI) and high–glycemic load (GL) foods are rapidly digested and absorbed, leading to marked elevations in blood glucose and correspondingly higher insulin excursions compared with low-GI, fiber-rich foods. Clinical and epidemiological evidence indicates that dietary patterns characterized by frequent intake of refined starches and sugars are associated with compensatory hyperinsulinemia, progressive insulin resistance, and an elevated risk of type 2 diabetes and metabolic syndrome over time [1-5].
When high-glycemic carbohydrates are consumed chronically in excess of metabolic needs, pancreatic β-cells must secrete larger amounts of insulin to maintain euglycemia, resulting in a sustained state of hyperinsulinemia. This state not only reflects early pathophysiology but also contributes causally to reduced insulin receptor signalling, impaired glucose transport in peripheral tissues, and ectopic lipid deposition within liver and skeletal muscle. As insulin resistance progresses, fasting and postprandial glucose levels rise, which is captured clinically by an increase in glycated hemoglobin (A1C), a key marker of long-term glycemic exposure and cardiometabolic risk [1,2,5,6,7].
From a preventive and longevity-focused perspective, the objective of nutrition therapy is not to eliminate carbohydrates altogether, but rather to optimize their type, timing, and context. Emphasizing minimally processed, low-GI carbohydrate sources, such as whole grains, legumes, non-starchy vegetables, and whole fruits slows gastric emptying and intestinal glucose absorption, attenuates postprandial glucose and insulin peaks, and improves overall glycemic variability. The co-ingestion of protein, healthy fats, and viscous fibers further modulates the glycemic response by enhancing satiety, reducing rapid glucose influx, and supporting more efficient insulin action at the tissue level [3,4,8].
This strategy supports the preservation of metabolic flexibility, defined as the capacity to switch efficiently between carbohydrate and lipid oxidation in response to feeding and fasting states or varying energetic demands. Individuals with preserved metabolic flexibility can maintain stable energy levels and glycemia with lower insulin requirements, whereas those with metabolic inflexibility exhibit exaggerated glucose and insulin responses, greater fat storage, and higher cardiometabolic risk. By tailoring carbohydrate quality and distribution within an overall balanced dietary pattern, clinicians can help patients reduce hyperinsulinemia, improve insulin sensitivity, and support long-term metabolic health [1,8-12].
Effective Movement Patterns: Exercise as a Glucose-Regulating Tool
Physical activity is one of the most potent non-pharmacological strategies for enhancing insulin sensitivity and improving glucose homeostasis. Acute bouts of exercise increase skeletal muscle glucose uptake through insulin-independent pathways, largely via contraction-mediated translocation of GLUT4 transporters to the cell membrane, allowing glucose entry even in the presence of impaired insulin signalling. This effect can persist for hours after a single session and, when repeated regularly, contributes to meaningful reductions in fasting glucose, postprandial excursions, and long-term glycemic markers in individuals with and without diabetes [14-17].
Chronic exercise training induces structural and functional adaptations in skeletal muscle, including increased mitochondrial density, enhanced oxidative enzyme activity, and upregulation of GLUT4 expression, all of which support more efficient glucose disposal and improved insulin action. Both aerobic modalities, such as brisk walking, cycling, and continuous moderate-intensity training and resistance training have been shown to reduce insulin resistance, lower plasma insulin levels, and improve indices such as HOMA-IR and HbA1c, with combined aerobic–resistance programs often producing the largest gains in glycemic control. These adaptations position regular exercise as a cornerstone therapy in the prevention and management of type 2 diabetes and metabolic syndrome [13-15,17,18].
From a practical and behavioural standpoint, consistency appears more important than intensity for most individuals aiming to optimize metabolic health. Moderate-intensity physical activity performed on most days of the week, such as brisk walking, yoga flows, light jogging, or cycling has been associated with significant improvements in insulin sensitivity and reductions in cardiometabolic risk, while also being more sustainable and better tolerated than high-intensity regimens in many populations. Exercising predominantly within moderate zones may also help avoid excessive activation of the hypothalamic–pituitary–adrenal axis and cortisol surges, which, if chronic, can counteract glycemic benefits by promoting hepatic glucose output and central adiposity [14,19,20].
Collectively, these data support the role of structured yet sustainable movement patterns, integrating aerobic activity, resistance training, and low-impact modalities such as yoga or walking, as an effective, “nature-based” insulin sensitizer that complements nutritional and behavioural interventions in comprehensive metabolic care [13,16].
Integrating Low-Glycemic Eating: Food as Sustained Fuel
Low-glycemic index (GI) and low-glycemic load (GL) dietary patterns are increasingly recognized as effective strategies for stabilizing postprandial glycemia and reducing overall glycemic variability in individuals at risk for or living with type 2 diabetes. By prioritizing carbohydrates that are digested and absorbed more slowly, such as intact whole grains, legumes, and non-starchy vegetables, these patterns attenuate rapid rises in blood glucose and plasma insulin following meals, thereby easing demand on pancreatic β-cells and supporting long-term metabolic resilience. Randomized controlled trials and meta-analyses have demonstrated that low-GI/GL diets can improve markers of glycemic control, including fructosamine and HbA1c, and may also confer additional benefits on body weight, blood pressure, and lipid profiles [21-25].
The concept of “slow carbohydrates” operationalizes this approach by emphasizing carbohydrate-rich foods with high fiber content and low GI, such as quinoa, oats, lentils, and sweet potatoes. The viscous and fermentable fibers present in these foods delay gastric emptying, slow intestinal glucose absorption, and promote a more gradual and sustained release of glucose into the circulation, which helps prevent sharp postprandial peaks and subsequent reactive hypoglycemia. In parallel, dietary patterns that emphasize lean proteins, nuts, seeds, and unsaturated fats, alongside low-GI carbohydrates have been associated with improvements in insulin sensitivity and reductions in insulin resistance, making them particularly suitable for individuals with prediabetes, metabolic syndrome, or insulin resistance [26-29].
Importantly, low-glycemic eating is best conceptualized not as a restrictive or deprivation-based diet, but as a calibrated framework that aligns food choices with an individual’s metabolic responses and therapeutic goals. Clinical and community-based data suggest that lowering the glycemic impact of meals, either through carbohydrate quality, reduced overall carbohydrate load, or both can meaningfully reduce HbA1c, improve energy levels, and support reversal or remission of metabolic syndrome in real-world settings. This more nuanced approach encourages patients to develop awareness of how specific foods and meal compositions affect their energy, satiety, and glucose patterns, fostering a more sustainable and personalized relationship with nutrition as a tool for long-term metabolic health [21,23,24,30,31].
Monitoring Results: Using A1C and Daily Energy Level
Monitoring metabolic health benefits from an integrated approach that combines objective biomarkers with subjective, patient-reported experiences. Glycated hemoglobin (A1C) remains the primary laboratory indicator for long-term glycemic control, reflecting average blood glucose exposure over approximately the previous two to three months by measuring the proportion of hemoglobin that is non-enzymatically glycated. Clinical guidelines endorse A1C for both diagnosis and ongoing management of diabetes and prediabetes, with regular testing used to guide therapy adjustments and evaluate the effectiveness of lifestyle and pharmacologic interventions. Lower A1C levels are consistently associated with reduced microvascular complication risk, although interpretation must consider conditions that alter red blood cell turnover or hemoglobin structure [32-38].
Despite its central role, A1C alone does not fully capture day-to-day glycemic dynamics or the lived experience of metabolic health, highlighting the value of incorporating subjective markers such as perceived energy, mental clarity, and postprandial fatigue into routine assessment. Experimental data suggest that dietary patterns influencing glycemic load can modulate subjective energy and mood, with high-glycemic load diets linked to greater fatigue, depressive symptoms, and overall mood disturbance compared with lower-glycemic load diets. More broadly, work in exercise and performance science shows that self-reported measures of well-being, fatigue, and vigor can be more sensitive than some physiological markers in detecting early maladaptation or imbalance, underscoring the clinical value of structured subjective monitoring [39-41].
In practice, combining quantitative metrics such as A1C, fasting glucose, and (where available) continuous glucose monitoring summaries with qualitative reports of daily energy stability, cognitive performance, and post-meal symptoms enables a more nuanced and patient-centered evaluation of metabolic status. This blended approach facilitates individualized lifestyle adjustments, such as meal timing, macronutrient composition, or exercise pattern changes while also reinforcing intrinsic motivation by linking objective improvement with tangible enhancements in how patients feel and function day to day. Over time, the integration of objective and subjective monitoring can support more adaptive self-management behaviours and align therapeutic decisions with both biomedical targets and patient-defined outcomes [32-34,38,40,41].
Lifestyle Harmony: Stress, Sleep, and Hydration
Metabolic regulation is strongly influenced by lifestyle domains that extend beyond diet and structured exercise, particularly chronic psychological stress, sleep quality, and hydration status. Persistent activation of the hypothalamic–pituitary–adrenal (HPA) axis and sustained cortisol elevation act as counter-regulatory forces against insulin, promoting hepatic gluconeogenesis, increasing circulating glucose, and reducing insulin sensitivity in peripheral tissues. Observational and mechanistic studies indicate that higher serum cortisol levels, even within the physiological range, are associated with impaired β-cell function, insulin resistance, and an increased risk of dysglycemia and type 2 diabetes. Consequently, chronic psychosocial stress is now recognized as a modifiable contributor to metabolic dysfunction and cardiometabolic risk [42-46].
Sleep duration and quality also exert a significant impact on glucose homeostasis and hormonal balance. Short or fragmented sleep has been linked to reduced insulin sensitivity, alterations in appetite-regulating hormones, and increased cardiometabolic risk, whereas regular, sufficient sleep supports more favorable glucose tolerance and endocrine function. Interventions that incorporate stress-reduction and relaxation techniques, such as diaphragmatic breathing, mindfulness-based meditation, and gentle evening yoga or stretching have been shown to lower sympathetic nervous system activity and may help normalize cortisol rhythms, thereby indirectly supporting glycemic stability and overall metabolic health. These practices also contribute to improved mental well-being, creating a positive feedback loop between psychological resilience and physiological regulation [42,,44].
Hydration represents another, often under-recognized, pillar of metabolic stability. At the cellular level, water balance influences cell volume, which in turn regulates key metabolic pathways involved in protein, glucose, and lipid metabolism. Experimental studies manipulating extracellular osmolality demonstrate that hypo-osmolar states (reflecting relatively greater hydration and cell swelling) can modulate whole-body protein turnover, lipolysis, and insulin sensitivity, whereas hyperosmolar states are associated with less favourable metabolic profiles. Although optimal hydration requirements vary by individual, maintaining adequate fluid intake throughout the day supports efficient nutrient transport, thermoregulation, and metabolic processes, and may contribute to more stable glycemic control as part of a comprehensive lifestyle strategy [47-49].
Blood Sugar Management as a Holistic Journey
Blood sugar regulation represents not merely a numeric or clinical endpoint but a dynamic reflection of lifestyle equilibrium. Effective glucose control arises from the continuous integration of physical activity, nutritional strategy, and emotional wellbeing. Exercise enhances insulin sensitivity and promotes efficient energy utilization, while nutrient-dense, low-glycemic foods stabilize glycemic variability and support cellular metabolism. Beyond these physiological drivers, psychological and behavioural factors, including stress management, sleep quality, and mindful awareness play critical roles in maintaining metabolic stability.
The journey toward balanced glucose regulation therefore extends beyond disease prevention and into the domain of holistic health optimization. Each behavioural refinement, whether consistent daily movement, conscious meal planning, or restorative self-care contributes cumulatively to improved longevity, neurocognitive performance, and cardiovascular resilience. When movement and nourishment coexist in harmony with mental balance, metabolic wellness transcends the boundaries of medical treatment, evolving into a sustainable and fulfilling lifestyle paradigm.
Reference
- Ludwig DS, Ebbeling CB. The Carbohydrate-Insulin Model of Obesity. JAMA Internal Medicine. 2018 Aug 1;178(8):1098.
- Sarsangi P, Mohammadi M, Nadjarzadeh A, Salehi-Abargouei A, Esmaillzadeh A, Mirzaei M. Dietary glycaemic index and insulin index in association with incident type 2 diabetes mellitus in adults. British Journal of Nutrition [Internet]. 2025 Feb 10 [cited 2026 Apr 15];133(4):532–43. Available from: https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/dietary-glycaemic-index-and-insulin-index-in-association-with-incident-type-2-diabetes-mellitus-in-adults/3853A625712441B5C7344E67715FA6F0
- The Nutrition Source. Carbohydrates and Blood Sugar [Internet]. The Nutrition Source. 2013. Available from: https://nutritionsource.hsph.harvard.edu/carbohydrates/carbohydrates-and-blood-sugar/
- The Glycemic Index and Health Outcomes – Nourished by Science [Internet]. Nourished by Science. 2023. Available from: https://nourishedbyscience.com/the-glycemic-index-and-health-outcomes/
- Teymoori F, Farhadnejad H, Mirmiran P, Nazarzadeh M, Azizi F. The association between dietary glycemic and insulin indices with incidence of cardiovascular disease: Tehran lipid and glucose study. BMC Public Health. 2020 Oct 2;20(1).
- Wolever TMS. Dietary carbohydrates and insulin action in humans. British Journal of Nutrition. 2000 Jun;83(S1):S97–102.
- Lewis J. The Insulin Index: a new way to understand food’s impact on insulin and blood sugar [Internet]. Diabetes Care Community. 2025 [cited 2026 Apr 15]. Available from: https://www.diabetescarecommunity.ca/diet-and-fitness-articles/diabetes-diet-articles/the-insulin-index-a-new-way-to-understand-foods-impact-on-insulin-and-blood-sugar/
- Merit Lagerpusch, J Enderlé, Eggeling B, Braun W, Johannsen M, Pape D, et al. Carbohydrate Quality and Quantity Affect Glucose and Lipid Metabolism during Weight Regain in Healthy Men. Journal of Nutrition. 2013 Oct 1;143(10):1593–601.
- Jung CH, Choi KM. Impact of High-Carbohydrate Diet on Metabolic Parameters in Patients with Type 2 Diabetes. Nutrients. 2017 Mar 24;9(4):322.
- Hayes AMR, Swackhamer C, Quezada-Calvillo R, Butte NF, Sterchi EE, Nichols BL, et al. Moderating carbohydrate digestion rate promotes metabolic flexibility in mice. 2023 Jan 8;
- Client Challenge [Internet]. Springermedizin.de. 2026 [cited 2026 Apr 15]. Available from: https://www.springermedizin.de/carbohydrate-restriction-improves-the-features-of-metabolic-synd/25655256
- Kripp AM, Feichter A, König D. Periodized carbohydrate intake influences metabolic flexibility and indices of running economy during endurance training in recreationally active males. Frontiers in Nutrition [Internet]. 2026 Jan 15;12. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12851979/
- Stanford KI, Goodyear LJ. Exercise and type 2 diabetes: molecular mechanisms regulating glucose uptake in skeletal muscle. Advances in Physiology Education [Internet]. 2014 Dec;38(4):308–14. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315445/
- Bird SR, Hawley JA. Update on the Effects of Physical Activity on Insulin Sensitivity in Humans. BMJ Open Sport & Exercise Medicine [Internet]. 2017;2(1):e000143. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569266/
- Samudera WS, Efendi F, Indarwati R. Effect of Physical Exercise on Insulin Sensitivity and the Modifiable Cardiovascular Risk Factors of Patients with T2DM: A Systematic Review. Jurnal Ners [Internet]. 2020 Jul 7;15(1Sp):518–30. Available from: https://e-journal.unair.ac.id/JNERS/article/view/20521
- American Diabetes Association. Blood Glucose & Exercise [Internet]. diabetes.org. American Diabetes Association; 2024. Available from: https://diabetes.org/health-wellness/fitness/blood-glucose-and-exercise
- Riddell M, Perkins BA. Exercise and Glucose Metabolism in Persons with Diabetes Mellitus: Perspectives on the Role for Continuous Glucose Monitoring. Journal of Diabetes Science and Technology. 2009 Jul;3(4):914–23.
- Pan Y, Wang P, Yue C, Liu C. Effect of nine different exercise interventions on insulin sensitivity in diabetic patients: a systematic review and mesh meta-analysis. Frontiers in Endocrinology. 2025 Aug 28;16.
- Raman R. 14 Natural Ways to Improve Your Insulin Sensitivity [Internet]. Healthline. Healthline Media; 2017. Available from: https://www.healthline.com/nutrition/improve-insulin-sensitivity
- Lin Y, Fan R, Hao Z, Li J, Yang X, Zhang Y, et al. The Association Between Physical Activity and Insulin Level Under Different Levels of Lipid Indices and Serum Uric Acid. Frontiers in Physiology [Internet]. 2022 Feb 2;13. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847671/
- Harvard Health Publishing. 8 principles of low-glycemic eating – Harvard Health [Internet]. Harvard Health. Harvard Health; 2019. Available from: https://www.health.harvard.edu/healthbeat/8-principles-of-low-glycemic-eating
- Econtel Research. The Business Cycle in West Germany, 1950-1969. 1970.
- Peres MJ, Costa HS, Silva MA, Albuquerque TG. The Health Effects of Low Glycemic Index and Low Glycemic Load Interventions on Prediabetes and Type 2 Diabetes Mellitus: A Literature Review of RCTs. Nutrients. 2023 Dec 10;15(24):5060–0.
- Gerontiti E, Shalit A, Katerina Stefanaki, Paraskevi Kazakou, Karagiannakis DS, Melpomeni Peppa, et al. The role of low glycemic index and load diets in medical nutrition therapy for type 2 diabetes: an update. Hormones. 2024 May 16;23.
- Mayo Clinic. Low-glycemic index diet: What’s behind the claims? [Internet]. Mayo Clinic. 2022. Available from: https://www.mayoclinic.org/healthy-lifestyle/nutrition-and-healthy-eating/in-depth/low-glycemic-index-diet/art-20048478
- Slow Carbs: What Are They and How to Add Them To Your Diet – Nutrisense Journal [Internet]. http://www.nutrisense.io. Available from: https://www.nutrisense.io/blog/slow-carbs
- Coyle D. A Beginner’s Guide to the Low-Glycemic Diet [Internet]. Healthline. 2017. Available from: https://www.healthline.com/nutrition/low-glycemic-diet
- 5 best foods to improve insulin resistance [Internet]. Nebraskamed.com. Nebraska Medicine; 2023. Available from: https://www.nebraskamed.com/health/conditions-and-services/diabetes/5-best-foods-to-improve-insulin-resistance
- Clinic C. Foods To Eat on an Insulin Resistance Diet [Internet]. Cleveland Clinic. 2025. Available from: https://health.clevelandclinic.org/insulin-resistance-diet
- Mayo Clinic. Low-glycemic index diet: What’s behind the claims? [Internet]. Mayo Clinic. 2022. Available from: https://www.mayoclinic.org/healthy-lifestyle/nutrition-and-healthy-eating/in-depth/low-glycemic-index-diet/art-20048478
- Cucuzzella MT, Tondt J, Dockter NE, Saslow L, Wood TR. A low-carbohydrate survey: Evidence for sustainable metabolic syndrome reversal. Journal of Metabolic Health [Internet]. 2017 [cited 2026 Apr 15];2(1):25. Available from: https://journalofmetabolichealth.org/index.php/jmh/article/view/30/88
- The A1C Test & Diabetes [Internet]. National Institute of Diabetes and Digestive and Kidney Diseases. 2018. Available from: https://www.niddk.nih.gov/health-information/diagnostic-tests/a1c-test
- Kastellorizios M, Burgess DJ. Continuous Metabolic Monitoring Based on Multi-Analyte Biomarkers to Predict Exhaustion. Scientific Reports [Internet]. 2015 Jun 1;5(1):10603. Available from: https://www.nature.com/articles/srep10603
- Zhao Y. Accuracy of subjective and objective physical activity measurement methods for prediction of possible sarcopenia. Journal of Clinical Images and Medical Case Reports. 2023 Feb 2;4(2).
- MedlinePlus. Hemoglobin A1C (HbA1c) Test: MedlinePlus Lab Test Information [Internet]. Medlineplus.gov. 2022. Available from: https://medlineplus.gov/lab-tests/hemoglobin-a1c-hba1c-test/
- CDC. Testing for Diabetes and Prediabetes: A1C [Internet]. Diabetes. 2024. Available from: https://www.cdc.gov/diabetes/diabetes-testing/prediabetes-a1c-test.html
- Sacks DB. A1C Versus Glucose Testing: A Comparison. Diabetes Care [Internet]. 2011 Jan 26;34(2):518–23. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024379/
- Monitoring Glycemic Control [Internet]. DiabetesCanadaWebsite. Available from: https://www.diabetes.ca/health-care-providers/clinical-practice-guidelines/chapter-9#panel-tab_FullText
- Breymeyer KL, Lampe JW, McGregor BA, Neuhouser ML. Subjective mood and energy levels of healthy weight and overweight/obese healthy adults on high-and low-glycemic load experimental diets. Appetite [Internet]. 2016 Dec;107:253–9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154680/#R5
- Filippi M, Krähenmann R, Fissler P. The Link Between Energy-Related Sensations and Metabolism: Implications for Treating Fatigue. Frontiers in Psychology. 2022 Jun 21;13.
- Saw AE, Main LC, Gastin PB. Monitoring the Athlete Training response: Subjective self-reported Measures Trump Commonly Used Objective measures: a Systematic Review. British Journal of Sports Medicine. 2016 Sep 9;50(5):281–91.
- Sharma I, Marwale AV, Sidana R, Gupta ID. Lifestyle modification for mental health and well-being. Indian Journal of Psychiatry [Internet]. 2024 Mar 1;66(3):219. Available from: https://journals.lww.com/indianjpsychiatry/fulltext/2024/66030/lifestyle_modification_for_mental_health_and.1.aspx
- Ould Bessi N, Touahria Miliani Y, Damou R, EL Mehdaoui MA, Kemache A, Ait Abdelkader B. Association between 8 a.m. cortisol levels and insulin resistance in healthy individuals from Algiers. Obesity Medicine [Internet]. 2025 Sep 12;58:100648. Available from: https://www.sciencedirect.com/science/article/abs/pii/S2451847625000685
- Darroch D. Metabolic Health: Simple Daily Steps for Steady Energy [Internet]. Perfect Snacks. 2024 [cited 2026 Apr 15]. Available from: https://perfectsnacks.com/blogs/post/metabolic-health
- Han J. The Effects of Cortisol on Blood Sugar and Insulin Resistance [Internet]. Veri. Available from: https://www.veri.co/learn/cortisol-insulin-resistance
- Kamba A, Daimon M, Murakami H, Otaka H, Matsuki K, Sato E, et al. Association between Higher Serum Cortisol Levels and Decreased Insulin Secretion in a General Population. Nishimura W, editor. PLOS ONE [Internet]. 2016 Nov 18;11(11):e0166077. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5115704/
- Lang F. Effect of Cell Hydration on Metabolism. Nestlé Nutrition Institute Workshop series. 2011 Jan 1;115–30.
- Keller U, Szinnai G, Bilz S, Berneis K. Effects of changes in hydration on protein, glucose and lipid metabolism in man: impact on health. European Journal of Clinical Nutrition. 2003 Dec 1;57(S2):S69–74.
- Thornton SN, Even PC, van Dijk G. Hydration increases cell metabolism. International Journal of Obesity [Internet]. 2009 Mar 1;33(3):385–5. Available from: https://www.nature.com/articles/ijo2008264#:~:text=It%20has%20been%20shown%20that