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ARTICLE Exercise-nutrient interactions for improved postprandial glycemic control and insulin sensitivity1 Jenna B. Gillen, Stephanie Estafanos, and Alexa Govette Abstract: Type 2 diabetes (T2D) is a rapidly growing yet largely preventable chronic disease. Exaggerated increases in blood glucose concentration following meals is a primary contributor to many long-term complications of the disease that decrease quality of life and reduce lifespan. Adverse health consequences also manifest years prior to the development of T2D due to underlying insulin resistance and exaggerated postprandial concentrations of the glucose-lowering hormone in- sulin. Postprandial hyperglycemic and hyperinsulinemic excursions can be improved by exercise, which contributes to the well-established benefits of physical activity for the prevention and treatment of T2D. The aim of this review is to describe the postprandial dysmetabolism that occurs in individuals at risk for and with T2D, and highlight how acute and chronic exercise can lower postprandial glucose and insulin excursions. In addition to describing the effects of traditional moder- ate-intensity continuous exercise on glycemic control, we highlight other forms of activity including low-intensity walking, high-intensity interval exercise, and resistance training. In an effort to improve knowledge translation and implementation of exercise for maximal glycemic benefits, we also describe how timing of exercise around meals and post-exercise nutri- tion can modify acute and chronic effects of exercise on glycemic control and insulin sensitivity. Novelty: � Exaggerated postprandial blood glucose and insulin excursions are associated with disease risk. � Both a single session and repeated sessions of exercise improve postprandial glycemic control in individuals with and with- out T2D. � The glycemic benefits of exercise can be enhanced by considering the timing and macronutrient composition of meals around exercise. Key words: exercise, glucose, insulin, type 2 diabetes, insulin resistance, nutrition, postprandial. Résumé : Le diabète de type 2 (« T2D ») est une maladie chronique en croissance rapide mais grandement évitable. Les augmenta- tions excessives de la glycémie après les repas sont l’un des principaux contributeurs à de nombreuses complications à long terme de la maladie qui diminuent la qualité de vie et en réduisent la durée. Des conséquences néfastes sur la santé se manifestent égale- ment des années avant le développement du T2D en raison de la résistance à l’insuline sous-jacente et des concentrations post- prandiales excessives de l’insuline, une hormone hypoglycémiante. Les excursions hyperglycémiques et hyperinsulinémiques postprandiales peuvent être améliorées par l’exercice afin d’engendrer les bénéfices bien établis de l’activité physique pour la prévention et le traitement du T2D. L’objectif de cette revue est de décrire le dysmétabolisme postprandial qui survient chez les personnes à risque et atteintes de T2D et de souligner comment l’exercice aigu et chronique peut réduire les excursions post- prandiales de glucose et d’insuline. En plus de décrire les effets de l’exercice continu traditionnel d’intensité modérée sur le con- trôle glycémique, nous mettons en évidence d’autres formes d’activité, notamment la marche à faible intensité, les exercices par intervalles à haute intensité et l’entraînement contre résistance. Dans un souci d’améliorer l’application des connaissances et la mise en œuvre de l’exercice pour des bénéfices glycémiques maximaux, nous décrivons également comment le moment de l’exercice dans le contexte des repas et l’alimentation postexercice peuvent modifier les effets aigus et chroni- ques de l’exercice sur le contrôle glycémique et la sensibilité à l’insuline. [Traduit par la Rédaction] Les nouveautés : � Des excursions postprandiales excessives de glycémie et d’insuline sont associées à un risque de maladie. � Une seule séance et des séances répétées d’exercice améliorent le contrôle glycémique postprandial chez les personnes avec et sans T2D. � Les avantages glycémiques de l’exercice peuvent être améliorés en tenant compte dumoment et de la composition enmacro- nutriments des repas dans le contexte de l’exercice. Mots-clés : exercice, glucose, insuline, diabète de type 2, résistance à l’insuline, nutrition, postprandial. Received 26 February 2021. Accepted 1 June 2021. J.B. Gillen, S. Estafanos, and A. Govette. Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ONM5S 2C9, Canada. Corresponding author: Jenna B. Gillen (email: jenna.gillen@utoronto.ca). 1This paper received the 2020 Applied Physiology, Nutrition, and Metabolism (APNM) Award for Nutrition Translation, which was granted by the Canadian Nutrition Society in conjunctionwith Canadian Science Publishing and the Editorial Staff of APNM. Copyright remains with the author(s) or their institution(s). Permission for reuse (free in most cases) can be obtained from copyright.com. Appl. Physiol. Nutr. Metab. 46: 856–865 (2021) dx.doi.org/10.1139/apnm-2021-0168 Published at www.cdnsciencepub.com/apnm on 3 June 2021. 856 A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. https://www.copyright.com/search.action?page=simple https://www.copyright.com/search.action?page=simple http://dx.doi.org/10.1139/apnm-2021-0168 Introduction Approximately 463 million people worldwide are living with diabetes, with numbers projected to increase by 50% over the next 25 years (Saeedi et al. 2019). Across Canada, 11 million Canadians (1 in 3 adults) are living with diabetes or prediabetes, 90% of which are type 2 diabetes (T2D) (Diabetes Canada 2018). While once thought to be a disease of later life, an increasing number of young adults are among the �480 Canadians diagnosed with T2D daily. Canadians 20 years of age now have a 50% chance of developing the disease in their lifetime, with disproportionally higher risk in select populations (e.g., 80% among indigenous adults) (Diabetes Canada 2018). These numbers are alarming given that diabetes reduces lifespan by 5–15 years and causes significant physical and mental health-related complications that decrease quality of life. Exaggerated elevations in blood glucose concentration after meals, termed postprandial hyperglycemia, is a primary contrib- utor to many long-term complications of T2D, including heart attacks, cardiovascular disease (CVD) and CVD-related mortality (Hanefeld et al. 1996; Sievers et al. 1999; Ceriello et al. 2004). Indeed, the World Health Organization identifies high blood glu- cose as the third highest risk factor for premature mortality after hypertension and tobacco use (World Health Organization 2009). Exaggerated increases in the glucose-lowering hormone insulin following meals (postprandial hyperinsulinemia) often manifest years before elevations in blood glucose concentration and is an early sign of risk for T2D (Zavaroni et al. 1999). Given that carbo- hydrates induce the largest increase in blood glucose and insulin concentrations relative to the other macronutrients (fat and pro- tein), carbohydrate-restricted diets are gaining momentum as a therapeutic strategy for individuals with obesity, prediabetes and T2D (Feinman et al. 2015). However, carbohydrates remain included in dietary recommendations for adults with T2D (Sievenpiper et al. 2018) and represent a substantial portion of the diet for many indi- viduals due to preference, accessibility and/or ethnocultural norms. Therefore, increased knowledge of strategies that reduce hyper- glycemia and hyperinsulinemia associated with carbohydrate intake is of utmost importance for nutrition professionals, health- care practitioners, and the�11million Canadians living with predia- betes or T2D. Lifestyle modification that includes regular physical activity can reduceon postprandial glucose peaks with the use of continuous glucose monitoring in type 2 diabetes. Am. J. Clin. Nutr. 87(3): 638–644. doi:10.1093/ajcn/87.3.638. PMID:18326602. Peddie, M.C., Bone, J.L., Rehrer, N.J., Skeaff, C.M., Gray, A.R., and Perry, T.L. 2013. Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial. Am. J. Clin. Nutr. 98(2): 358–366. doi:10.3945/ajcn.112.051763. PMID:23803893. Perseghin, G., Price, T.B., Petersen, K.F., Roden, M., Cline, G.W., and Gerow, K., et al. 1996. Increased Glucose transport – phosphorylation and muscle glycogen synthesis after exercise training in insulin-resistant sub- jects. N. Engl. J. Med. 335(18): 1357–1362. doi:10.1056/NEJM199610313351804. PMID:8857019. Petersen, M.C., and Shulman, G.I. 2018. Mechanisms of insulin action and in- sulin resistance. Physiol. Rev. 98(4): 2133–2223. doi:10.1152/physrev.00063.2017. PMID:30067154. Poirier, P., Tremblay, A., Catellier, C., Tancrède, G., Garneau, C., and Nadeau, A. 2000. Impact of time interval from the last meal on glucose response to exercise in subjects with type 2 diabetes. J. Clin. Endocrinol. Metab. 85(8): 2860–2864. doi:10.1210/jcem.85.8.6760. PMID:10946894. Poirier, P., Mawhinney, S., Grondin, L., Tremblay, A., Broderick, T., and Cléroux, J., et al. 2001. Prior meal enhances the plasma glucose lowering effect of exercise in type 2 diabetes. Med. Sci. Sports Exerc. 33(8): 1259– 1264. doi:10.1097/00005768-200108000-00003. PMID:11474324. Pories, W.J., MacDonald, K.G.J., Morgan, E.J., Sinha, M.K., Dohm, G.L., and Swanson, M.S., et al. 1992. Surgical treatment of obesity and its effect on diabetes: 10-y follow-up. Am. J. Clin. Nutr. 55: 582S–585S. doi:10.1093/ajcn/ 55.2.582s. PMID:1733132. Punthakee, Z., Goldenberg, R., and Katz, P. 2018. Definition, classification and diagnosis of diabetes, prediabetes and metabolic syndrome. Can. J. Diabetes, 42: S10–S15. doi:10.1016/j.jcjd.2017.10.003. PMID:29650080. Rafiei, H., Omidian, K., Myette-Côté, �E., and Little, J.P. 2021. Metabolic effect of breaking up prolonged sitting with stair climbing exercise snacks. Med. Sci. Sports Exerc. 53(1): 150–158. doi:10.1249/MSS.0000000000002431. PMID:32555024. Rawlings, R.A., Shi, H., Yuan, L.H., Brehm, W., Pop-Busui, R., and Nelson, P.W. 2011. Translating glucose variability metrics into the clinic via continuous glucose monitoring: A graphical user interface for diabetes evaluation (CGM- GUIDE©). Diabetes Technol. Ther. 13(12): 1241–1248. doi:10.1089/dia.2011.0099. PMID:21932986. Reaven, G.M. 1979. Effects of differences in amount and kind of dietary car- bohydrate on plasma glucose and insulin responses in man. Am. J. Clin. Nutr. 32(12): 2568–2578. doi:10.1093/ajcn/32.12.2568. PMID:389023. Reynolds, A.N., Mann, J.I., Williams, S., and Venn, B.J. 2016. Advice to walk after meals is more effective for lowering postprandial glycaemia in type 2 diabetes mellitus than advice that does not specify timing: a randomised crossover study. Diabetologia, 59(12): 2572–2578. doi:10.1007/s00125-016-4085-2. PMID:27747394. Richter, E.A. 2021. Is GLUT4 translocation the answer to exercise-stimulated muscle glucose uptake? Am. J. Physiol. Metab. 320(2): E240–E243. doi:10. 1152/ajpendo.00503.2020. PMID:33166188. Röhling, M., Martin, T., Wonnemann, M., Kragl, M., Klein, H.H., and Heinemann, L., et al. 2019. Determination of postprandial glycemic responses by continuous glucose monitoring in a real-world setting. Nutrients, 11: 2305. doi:10.3390/nu11102305. PMID:31569815. Rosella, L.C., Lebenbaum, M., Fitzpatrick, T., Zuk, A., and Booth, G.L. 2015. Prevalence of prediabetes and undiagnosed diabetes in Canada (2007– 864 Appl. Physiol. Nutr. Metab. Vol. 46, 2021 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://dx.doi.org/10.1056/NEJMoa012512 http://www.ncbi.nlm.nih.gov/pubmed/11832527 http://dx.doi.org/10.1016/j.molmet.2020.100998 http://www.ncbi.nlm.nih.gov/pubmed/32305516 http://dx.doi.org/10.1007/s00421-004-1307-y http://www.ncbi.nlm.nih.gov/pubmed/15761746 http://dx.doi.org/10.2337/db17-0433 http://dx.doi.org/10.2337/db17-0433 http://www.ncbi.nlm.nih.gov/pubmed/28684634 http://dx.doi.org/10.1007/s001250050699 http://www.ncbi.nlm.nih.gov/pubmed/9112022 http://dx.doi.org/10.1139/apnm-2016-0642 http://www.ncbi.nlm.nih.gov/pubmed/28340302 http://dx.doi.org/10.2337/dc12-2543 http://www.ncbi.nlm.nih.gov/pubmed/23656982 http://dx.doi.org/10.2337/dc08-2337 http://www.ncbi.nlm.nih.gov/pubmed/19502543 http://dx.doi.org/10.1152/japplphysiol.00921.2011 http://www.ncbi.nlm.nih.gov/pubmed/21868679 http://dx.doi.org/10.1139/apnm-2013-0512 http://www.ncbi.nlm.nih.gov/pubmed/24773254 http://dx.doi.org/10.1007/s00592-016-0870-0 http://dx.doi.org/10.1007/s00592-016-0870-0 http://www.ncbi.nlm.nih.gov/pubmed/27255501 http://dx.doi.org/10.1002/dmrr.2461 http://www.ncbi.nlm.nih.gov/pubmed/24038928 http://dx.doi.org/10.1371/journal.pone.0133286 http://www.ncbi.nlm.nih.gov/pubmed/26258597 http://dx.doi.org/10.14814/phy2.14669 http://dx.doi.org/10.14814/phy2.14669 http://dx.doi.org/10.2337/diacare.24.3.539 http://www.ncbi.nlm.nih.gov/pubmed/11289482 http://dx.doi.org/10.1152/ajpendo.1995.269.3.E583 http://dx.doi.org/10.2337/diacare.22.9.1462 http://www.ncbi.nlm.nih.gov/pubmed/10480510 http://dx.doi.org/10.1113/JP278600 http://www.ncbi.nlm.nih.gov/pubmed/31696935 http://dx.doi.org/10.1152/ajpendo.1988.254.3.E248 http://www.ncbi.nlm.nih.gov/pubmed/3126668 http://dx.doi.org/10.2337/diacare.26.3.881 http://www.ncbi.nlm.nih.gov/pubmed/12610053 http://dx.doi.org/10.2337/dc06-1612 http://dx.doi.org/10.2337/dc06-1612 http://www.ncbi.nlm.nih.gov/pubmed/17259492 http://dx.doi.org/10.3389/fendo.2020.00495 http://www.ncbi.nlm.nih.gov/pubmed/32849285 http://dx.doi.org/10.1152/japplphysiol.01106.2009 http://www.ncbi.nlm.nih.gov/pubmed/20044472 http://dx.doi.org/10.2337/dc12-2606 http://dx.doi.org/10.2337/dc12-2606 http://dx.doi.org/10.1249/MSS.0b013e3182a54d85 http://dx.doi.org/10.1249/MSS.0b013e3182a54d85 http://www.ncbi.nlm.nih.gov/pubmed/23872939 http://dx.doi.org/10.1055/s-0034-1389942 http://www.ncbi.nlm.nih.gov/pubmed/25376729 http://dx.doi.org/10.3389/fphys.2016.00661 http://www.ncbi.nlm.nih.gov/pubmed/26858649 http://dx.doi.org/10.1093/ajcn/87.3.638 http://www.ncbi.nlm.nih.gov/pubmed/18326602 http://dx.doi.org/10.3945/ajcn.112.051763 http://www.ncbi.nlm.nih.gov/pubmed/23803893 http://dx.doi.org/10.1056/NEJM199610313351804 http://www.ncbi.nlm.nih.gov/pubmed/8857019 http://dx.doi.org/10.1152/physrev.00063.2017 http://www.ncbi.nlm.nih.gov/pubmed/30067154 http://dx.doi.org/10.1210/jcem.85.8.6760 http://www.ncbi.nlm.nih.gov/pubmed/10946894 http://dx.doi.org/10.1097/00005768-200108000-00003 http://www.ncbi.nlm.nih.gov/pubmed/11474324 http://dx.doi.org/10.1093/ajcn/55.2.582s http://dx.doi.org/10.1093/ajcn/55.2.582s http://www.ncbi.nlm.nih.gov/pubmed/1733132 http://dx.doi.org/10.1016/j.jcjd.2017.10.003 http://www.ncbi.nlm.nih.gov/pubmed/29650080 http://dx.doi.org/10.1249/MSS.0000000000002431 http://www.ncbi.nlm.nih.gov/pubmed/32555024 http://dx.doi.org/10.1089/dia.2011.0099 http://www.ncbi.nlm.nih.gov/pubmed/21932986 http://dx.doi.org/10.1093/ajcn/32.12.2568 http://www.ncbi.nlm.nih.gov/pubmed/389023 http://dx.doi.org/10.1007/s00125-016-4085-2 http://www.ncbi.nlm.nih.gov/pubmed/27747394 http://dx.doi.org/10.1152/ajpendo.00503.2020 http://dx.doi.org/10.1152/ajpendo.00503.2020 http://www.ncbi.nlm.nih.gov/pubmed/33166188 http://dx.doi.org/10.3390/nu11102305 http://www.ncbi.nlm.nih.gov/pubmed/31569815 2011) according to fasting plasma glucose and HbA1c screening criteria. Diabetes Care, 38(7): 1299–1305. doi:10.2337/dc14-2474. PMID:25852207. Ross, R., Hudson, R., Stotz, P.J., and Lam, M. 2015. Effects of Exercise Amount and Intensity on Abdominal Obesity and Glucose Tolerance in Obese Adults. Ann. Intern. Med.162(5): 325–341. doi:10.7326/M14-1189. PMID:25732273. Ryan, B.J., Schleh, M.W., Ahn, C., Ludzki, A.C., Gillen, J.B., and Varshney, P., et al. 2020. Moderate-intensity exercise and high-intensity interval train- ing affect insulin sensitivity similarly in obese adults. J. Clin. Endocrinol. Metab. 105(8): E2941–E2959. doi:10.1210/clinem/dgaa345. PMID:32492705. Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., and Unwin, N., et al. 2019. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the Interna- tional Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res. Clin. Pract. 157: 107843. doi:10.1016/j.diabres.2019.107843. PMID:31518657. Savikj, M., Gabriel, B.M., Alm, P.S., Smith, J., Caidahl, K., and Björnholm, M., et al. 2019. Afternoon exercise is more efficacious than morning exercise at improving blood glucose levels in individuals with type 2 diabetes: a rando- mised crossover trial. Diabetologia, 62(2): 233–237. doi:10.1007/s00125-018- 4767-z. PMID:30426166. Schleh, M., Pitchford, L., Gillen, J., and Horowitz, J. 2020. Energy deficit required for exercise-induced improvements in glycemia the next day. Med. Sci. Sport Exerc. 52(4): 976–982. doi:10.1249/MSS.0000000000002211. PMID:31809409. Sievenpiper, J.L., Chan, C.B., Dworatzek, P.D., Freeze, C., and Williams, S.L. 2018. Nutrition Therapy 2018 Clinical Practice Guidelines. Can. J. Diabe- tes, 42: S64–S79. doi:10.1016/j.jcjd.2017.10.009. PMID:29650114. Sievers, M.L., Bennett, P.H., and Nelson, R.G. 1999. Effect of glycemia on mortality in Pima Indians with type 2 diabetes. Diabetes, 48(4): 896–902. doi:10.2337/diabetes.48.4.896. PMID:10102709. Sigal, R.J., Kenny, G.P., Boulé, N.G., Wells, G.A., Prud’homme, D., and Fortier, M., et al. 2007. Effects of aerobic training, resistance training, or both on glycemic control in type 2 diabetes: A randomized trial. Ann. In- tern. Med. 147(6): 357–369. doi:10.7326/0003-4819-147-6-200709180-00005. PMID:17876019. Sjöros, T.J., Heiskanen, M.A., Motiani, K.K., Löyttyniemi, E., Eskelinen, J.J., and Virtanen, K.A., et al. 2018. Increased insulin-stimulated glucose uptake in both leg and arm muscles after sprint interval and moderate- intensity training in subjects with type 2 diabetes or prediabetes. Scand. J. Med. Sci. Sports, 28(1): 77–87. doi:10.1111/sms.12875. PMID:28295686. Snowling, N.J., and Hopkins, W.G. 2006. Effects of different modes of exer- cise training on glucose control and risk factors for complications in type 2 diabetic patients: a meta-analysis. Diabetes Care, 29(11): 2518–2527. doi:10.2337/dc06-1317. PMID:17065697. Solomon, T.P.J., Tarry, E., Hudson, C.O., Fitt, A.I., and Laye, M.J. 2020. Imme- diate post-breakfast physical activity improves interstitial postprandial glycemia: a comparison of different activity-meal timings. Pflugers Arch. Eur. J. Physiol. 472(2): 271–280. doi:10.1007/s00424-019-02300-4. PMID:31396757. Sonksen, P., and Sonksen, J. 2000. Insulin: Understanding its action in health and disease. Br. J. Anaesth. 85(1): 69–79. doi:10.1093/bja/85.1.69. PMID:10927996. Stannard, S.R., Buckley, A.J., Edge, J.A., and Thompson, M.W. 2010. Adapta- tions to skeletal muscle with endurance exercise training in the acutely fed versus overnight-fasted state. J. Sci. Med. Sport, 13(4): 465–469. doi:10.1016/ j.jsams.2010.03.002. PMID:20452283. Steenberg, D.E., Jørgensen, N.B., Birk, J.B., Sjøberg, K.A., Kiens, B., Richter, E.A., and Wojtaszewski, J.F.P. 2019. Exercise training reduces the insulin-sensitizing effect of a single bout of exercise in human skeletal muscle. J. Physiol. 597(1): 89–103. doi:10.1113/JP276735. PMID:30325018. Taylor, H.L., Wu, C.L., Chen, Y.C., Wang, P.G., Gonzalez, J.T., and Betts, J.A. 2018. Post-exercise carbohydrate-energy replacement attenuates insulin sensitivity and glucose tolerance the following morning in healthy adults. Nutrients, 10(2): 123. doi:10.3390/nu10020123. Treebak, J.T., Glund, S., Deshmukh, A., Klein, D.K., Long, Y.C., and Jensen, T.E., et al. 2006. AMPK-mediated AS160 phosphorylation in skeletal muscle is dependent on AMPK catalytic and regulatory subunits. Diabetes, 55(7): 2051– 2058. doi:10.2337/db06-0175. PMID:16804075. Umpierre, D., Kramer, C.K., Leita, C.B., Gross, J.L., Ribeiro, J.P., and Schaan, B.D. 2011. Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes. J. Am. Med. Assoc. 305(17): 1790–1799. doi:10.1001/jama.2011.576. PMID:21540423. Van Dijk, J.W., Manders, R.J.F., Tummers, K., Bonomi, A.G., Stehouwer, C.D.A., Hartgens, F., and Van Loon, L.J.C. 2012. Both resistance- and endurance-type exercise reduce the prevalence of hyperglycaemia in individuals with impaired glucose tolerance and in insulin-treated and non-insulin-treated type 2 diabetic patients. Diabetologia, 55(5): 1273–1282. doi:10.1007/s00125- 011-2380-5. PMID:22124605. Van Proeyen, K., Szlufcik, K., Nielens, H., Pelgrim, K., Deldicque, L., and Hesselink, M., et al. 2010. Training in the fasted state improves glucose tolerance during fat-rich diet. J. Physiol. 21: 4289–4302. doi:10.1113/jphysiol. 2010.196493. PMID:20837645. Venables, M.C., Shaw, C.S., Jeukendrup, A.E., and Wagenmakers, A.J.M. 2007. Effect of acute exercise on glucose tolerance following post-exercise feeding. Eur. J. Appl. Physiol. 100(6): 711–717. doi:10.1007/s00421-007-0464-1. PMID:17624545. Verboven, K., Wens, I., Vandenabeele, F., Stevens, A.N., Celie, B., and Lapauw, B., et al. 2020. Impact of exercise-nutritional state interactions in patients with type 2 diabetes. Med. Sci. Sports Exerc. doi:10.1249/ MSS.0000000000002165. PMID:31652237. Wahren, J., and Ekberg, K. 2007. Splanchnic regulation of glucose production. Annu. Rev. Nutr. 27: 329–345. doi:10.1146/annurev.nutr.27.061406.093806. PMID:17465853. Wahren, J., Felig, P., Ahlborg, G., and Jorfeldt, L. 1971. Glucose metabolism during leg exercise in man. J. Clin. Invest. 50(12): 2715–2725. doi:10.1172/ JCI106772. PMID:5129319. Woerle, H.J., Pimenta, W.P., Meyer, C., Gosmanov, N.R., Szoke, E., and Szombathy, T., et al. 2004. Diagnostic and therapeutic implications of relationships between fasting, 2-hour postchallenge plasma glucose and hemoglobin A1c values. Arch. Intern. Med. 164(15): 1627–1632. doi:10.1001/ archinte.164.15.1627. PMID:15302632. Wojtaszewski, J., Higaki, Y., Hirshman, M.F., Michael, M.D., Dufresne, S.D., Kahn, C.R., and Goodyear, L.J. 1999. Exercise modulates postreceptor insulin signaling and glucose transport in muscle-specific insulin receptor knockout mice. J. Clin. Invest. 104(9): 1257–1264. doi:10.1172/JCI7961. PMID:10545524. Wojtaszewski, J.F.P., Hansen, B.F., Gade, J., Kiens, B., Markuns, J.F., Goodyear, L.J., and Richter, E.A. 2000. Insulin signaling and insulin sensi- tivity after exercise in human skeletal muscle. Diabetes, 49(3): 325–331. doi:10.2337/diabetes.49.3.325. PMID:10868952. Wojtaszewski, J.F.P., and Richter, E.A. 2006. Effects of acute exercise and training on insulin action and sensitivity: focus on molecular mecha- nisms in muscle. Essays Biochem. 42: 31–46. doi:10.1042/bse0420031. PMID: 17144878. Wolever, T.M., and Miller, J.B. 1995. Sugars and blood glucose control. Am. J. Clin. Nutr. 62(1): 212S–221S. doi:10.1093/ajcn/62.1.212S. PMID:7598079. Wolever, T.M., Chiasson, J.-L., Csima, A., Hunt, J.A., Palmason, C., Ross, S.A., and Ryan, E.A. 1998. Variation of postprandial plasma glucose, palatability, and symptoms associated with a standardized mixed test meal versus 75 g oral glucose. Diabetes Care, 21(3): 336–340. doi:10.2337/diacare.21.3.336. PMID: 9540012. World Health Organization. 2009. Global health risks: mortality and burden of disease attributable to selected major risks. Available from http://www. who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf. Zavaroni, I., Bonini, L., Gasparini, P., Barilli, A.L., Zuccarelli, A., and Dall’Aglio, E., et al. 1999. Hyperinsulinemia in a normal population as a predictorof non-insulin- dependent diabetes mellitus, hypertension, and coronary heart disease: The Barilla Factory revisited. Metabolism, 48(8): 989–994. doi:10.1016/S0026-0495(99)90195-6. PMID:10459563. Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., and Weinberger, A., et al. 2015. Personalized nutrition by prediction of glycemic responses. Cell, 163(5): 1079–1094. doi:10.1016/j.cell.2015.11.001. PMID:26590418. Gillen et al. 865 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://dx.doi.org/10.2337/dc14-2474 http://www.ncbi.nlm.nih.gov/pubmed/25852207 http://dx.doi.org/10.7326/M14-1189 http://www.ncbi.nlm.nih.gov/pubmed/25732273 http://dx.doi.org/10.1210/clinem/dgaa345 http://www.ncbi.nlm.nih.gov/pubmed/32492705 http://dx.doi.org/10.1016/j.diabres.2019.107843 http://www.ncbi.nlm.nih.gov/pubmed/31518657 http://dx.doi.org/10.1007/s00125-018-4767-z http://dx.doi.org/10.1007/s00125-018-4767-z http://www.ncbi.nlm.nih.gov/pubmed/30426166 http://dx.doi.org/10.1249/MSS.0000000000002211 http://www.ncbi.nlm.nih.gov/pubmed/31809409 http://dx.doi.org/10.1016/j.jcjd.2017.10.009 http://www.ncbi.nlm.nih.gov/pubmed/29650114 http://dx.doi.org/10.2337/diabetes.48.4.896 http://www.ncbi.nlm.nih.gov/pubmed/10102709 http://dx.doi.org/10.7326/0003-4819-147-6-200709180-00005 http://www.ncbi.nlm.nih.gov/pubmed/17876019 http://dx.doi.org/10.1111/sms.12875 http://www.ncbi.nlm.nih.gov/pubmed/28295686 http://dx.doi.org/10.2337/dc06-1317 http://www.ncbi.nlm.nih.gov/pubmed/17065697 http://dx.doi.org/10.1007/s00424-019-02300-4 http://www.ncbi.nlm.nih.gov/pubmed/31396757 http://dx.doi.org/10.1093/bja/85.1.69 http://www.ncbi.nlm.nih.gov/pubmed/10927996 http://dx.doi.org/10.1016/j.jsams.2010.03.002 http://dx.doi.org/10.1016/j.jsams.2010.03.002 http://www.ncbi.nlm.nih.gov/pubmed/20452283 http://dx.doi.org/10.1113/JP276735 http://www.ncbi.nlm.nih.gov/pubmed/30325018 http://dx.doi.org/10.3390/nu10020123 http://dx.doi.org/10.2337/db06-0175 http://www.ncbi.nlm.nih.gov/pubmed/16804075 http://dx.doi.org/10.1001/jama.2011.576 http://www.ncbi.nlm.nih.gov/pubmed/21540423 http://dx.doi.org/10.1007/s00125-011-2380-5 http://dx.doi.org/10.1007/s00125-011-2380-5 http://www.ncbi.nlm.nih.gov/pubmed/22124605 http://dx.doi.org/10.1113/jphysiol.2010.196493 http://dx.doi.org/10.1113/jphysiol.2010.196493 http://www.ncbi.nlm.nih.gov/pubmed/20837645 http://dx.doi.org/10.1007/s00421-007-0464-1 http://www.ncbi.nlm.nih.gov/pubmed/17624545 http://dx.doi.org/10.1249/MSS.0000000000002165 http://dx.doi.org/10.1249/MSS.0000000000002165 http://www.ncbi.nlm.nih.gov/pubmed/31652237 http://dx.doi.org/10.1146/annurev.nutr.27.061406.093806 http://www.ncbi.nlm.nih.gov/pubmed/17465853 http://dx.doi.org/10.1172/JCI106772 http://dx.doi.org/10.1172/JCI106772 http://www.ncbi.nlm.nih.gov/pubmed/5129319 http://dx.doi.org/10.1001/archinte.164.15.1627 http://dx.doi.org/10.1001/archinte.164.15.1627 http://www.ncbi.nlm.nih.gov/pubmed/15302632 http://dx.doi.org/10.1172/JCI7961 http://www.ncbi.nlm.nih.gov/pubmed/10545524 http://dx.doi.org/10.2337/diabetes.49.3.325 http://www.ncbi.nlm.nih.gov/pubmed/10868952 http://dx.doi.org/10.1042/bse0420031 http://www.ncbi.nlm.nih.gov/pubmed/17144878 http://dx.doi.org/10.1093/ajcn/62.1.212S http://www.ncbi.nlm.nih.gov/pubmed/7598079 http://dx.doi.org/10.2337/diacare.21.3.336 http://www.ncbi.nlm.nih.gov/pubmed/9540012 http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf http://dx.doi.org/10.1016/S0026-0495(99)90195-6 http://www.ncbi.nlm.nih.gov/pubmed/10459563 http://dx.doi.org/10.1016/j.cell.2015.11.001 http://www.ncbi.nlm.nih.gov/pubmed/26590418 Article Introduction Postprandial glycemic control along the spectrum of glucose tolerance Etiology of postprandial hyperglycemia and hyperinsulinemia Prevalence and perils of postprandial hyperglycemia and hyperinsulinemia Measurement of postprandial glycemia and insulinemia Exercise as a therapeutic strategy for reducing postprandial glucose and insulin excursions Phase 1: Exercise can immediately lower blood glucose concentration Influence of acute exercise-nutrient timing on postprandial glycemic excursions Influence of exercise ‘snacks’ on postprandial glycemic and insulinemic excursions Phase 2: Exercise can acutely improve insulin sensitivity for hours after exercise Influence of post-exercise macronutrient intake on acute improvements in insulin sensitivity Phase 3: Repeated sessions of exercise result in adaptations that improve glycemic control Influence of fasted vs. fed state exercise on training-induced improvements in insulin sensitivity and glycemic control Future directions and conclusion Conflict of interest statement References > /ConvertImagesToIndexed true /MaxSubsetPct 99 /Binding /Left /PreserveDICMYKValues false /GrayImageMinDownsampleDepth 2 /MonoImageMinResolution 1200 /sRGBProfile (sRGB IEC61966-2.1) /AntiAliasColorImages false /GrayImageDepth -1 /PreserveFlatness true /CompressPages true /GrayImageMinResolution 150 /CalCMYKProfile (U.S. Web Coated \050SWOP\051 v2) /PDFXBleedBoxToTrimBoxOffset [ 0.0 0.0 0.0 0.0 ] /AutoFilterGrayImages true /EncodeColorImages true /AlwaysEmbed [ ] /EndPage -1 /DownsampleColorImages true /ASCII85EncodePages false /PreserveEPSInfo false 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/EmbedJobOptions true /MonoImageDownsampleType /Average /DetectBlends true /EncodeGrayImages true /ColorImageDownsampleType /Average /EmitDSCWarnings false /AutoFilterColorImages true /DownsampleGrayImages true /GrayImageDict > /AntiAliasMonoImages false /GrayImageAutoFilterStrategy /JPEG /GrayACSImageDict] >> /ColorImageAutoFilterStrategy /JPEG /ColorImageMinResolutionPolicy /OK /ColorImageResolution 300 /PDFXRegistryName () /MonoImageFilter /CCITTFaxEncode /CalGrayProfile (Gray Gamma 2.2) /ColorImageMinDownsampleDepth 1 /JPEG2000GrayImageDict > /ColorImageDepth -1 /DetectCurves 0.1 /PDFXTrapped /False /ColorImageFilter /DCTEncode /TransferFunctionInfo /Preserve /PDFX3Check false /ParseICCProfilesInComments true /ColorACSImageDict > /DSCReportingLevel 0 /PDFXOutputConditionIdentifier () /PDFXCompliantPDFOnly false /AllowTransparency false /PreserveCopyPage true /UsePrologue false /StartPage 1 /MonoImageDownsampleThreshold 1.0 /GrayImageDownsampleThreshold 1.0 /CheckCompliance [ /None ] /CreateJDFFile false /PDFXSetBleedBoxToMediaBox true /EmbedOpenType false /OPM 0 /PreserveOverprintSettings false /UCRandBGInfo /Remove /ColorImageDownsampleThreshold 1.0 /MonoImageDict > /GrayImageDownsampleType /Average /Description /FRA /KOR /NLD (Gebruik deze instellingen om Adobe PDF-documenten te maken waarmee zakelijke documenten betrouwbaar kunnen worden weergegeven en afgedrukt. De gemaakte PDF-documenten kunnen worden geopend met Acrobat en Adobe Reader 5.0 en hoger.) /NOR /DEU /SVE /DAN /ITA (Utilizzare queste impostazioni per creare documenti Adobe PDF adatti per visualizzare e stampare documenti aziendali in modo affidabile. I documenti PDF creati possono essere aperti con Acrobat e Adobe Reader 5.0 e versioni successive.) /JPN/CHS /SUO /ESP /CHT >> /CropMonoImages true /DefaultRenderingIntent /RelativeColorimeteric /PreserveHalftoneInfo false /ColorImageDict > /CropGrayImages true /PDFXOutputCondition () /SubsetFonts true /EncodeMonoImages true /CropColorImages true /PDFXNoTrimBoxError true >> setdistillerparams > setpagedevicediabetes risk by �60% (Knowler et al. 2002) and minimize complications for those living with T2D (Umpierre et al. 2011; Chen et al. 2015; Colberg et al. 2016).While the health benefits of exercise for those at risk for or with T2D are wide-ranging, this review focuses specifically on the role of exercise in reducing postprandial hyperglycemic and hyperinsulinemic excursions and associated mechanisms. First, we describe the development of postprandial dysmetabolism along the spectrum of glucose tolerance, and how it is measured in both clinical and research settings. We then pro- vide an overview of how acute and chronic exercise can reduce postprandial glycemia and insulinemia in those at risk for, or with, T2D. In an effort to maximize knowledge translation on the glyce- mic benefits of exercise, we also consider how exercise type and tim- ing, as well as the nutrient composition of meals around exercise, canmodify exercise-induced improvements in glycemic control. Postprandial glycemic control along the spectrum of glucose tolerance Transient increases in blood glucose and insulin concentra- tions are a normal physiological response to carbohydrate intake. Indeed, the digestion of carbohydrates consumed in isolation or as part of a mixed-macronutrient meal results in elevated blood glu- cose concentration and stimulation of the glucose-lowering hor- mone, insulin, from the pancreas (Reaven 1979). The postprandial rise in insulin concentration facilitates glucose uptake into insulin- sensitive tissues, including skeletal muscle, adipose tissue and the liver (Defronzo 2009), which lowers blood glucose concentration to basal (or pre-meal) concentrations within 2–3 h following meal ingestion (Ceriello et al. 2008) (Fig. 1A). Factors such as the amount, source, and glycemic index of the carbohydrate, as well as the nutri- ent composition of themeal, can influence themagnitude and dura- tion of glycemic and insulinemic excursions (Wolever and Miller 1995). Assuming these factors to be equal, the magnitude and dura- tion of postprandial increases in blood glucose and insulin concen- trations are largely dependent on peripheral tissue sensitivity to the hormone insulin (i.e., insulin sensitivity) and pancreatic b-cell insu- lin secretion. Etiology of postprandial hyperglycemia and hyperinsulinemia Postprandial hyperglycemia and hyperinsulinemia are initially the result of decreased insulin-stimulated glucose uptake in pe- ripheral tissues, termed insulin resistance, which can develop as a result of genetic susceptibility, but more often is explained by poor nutrition and lack of physical activity driven by environ- mental factors and socioeconomic status (Diabetes Canada 2018). In the early stages of insulin resistance, increased insulin secre- tion is typically sufficient to ‘rescue’ insulin-stimulated glucose uptake and prevent postprandial hyperglycemia (Pories et al. 1992; Mari et al. 2001) (Fig. 1B). However, in the absence of lifestylemodifi- cation or pharmacological treatment, excessive rates of insulin secretion fail to compensate for an increasing state of insulin resist- ance over time, resulting in postprandial hyperglycemic excur- sions. If detected, diagnosis of impaired glucose tolerance (IGT) or prediabetes ensues, which is associated with elevations in both postprandial insulinemic and glycemic excursions (Punthakee et al. 2018). If diagnosed with T2D, a disease characterized by fasting hyperglycemia attributable to a failure to suppress hepatic glucose production (Sonksen and Sonksen 2000), postprandial hyperglyce- mia becomes more pronounced as a result of worsening peripheral insulin resistance and/or inadequate insulin secretion. As T2D pro- gresses, a significant decline in insulin secretion can also manifest as a result of pancreatic b-cell failure, resulting in reduced postpran- dial insulin concentrations and severe glucose intolerance requiring exogenous insulin to assist in regulating postprandial blood glucose concentrations (Defronzo 2009). Themechanisms of peripheral insulin resistance are numerous and complex, and beyond the scope of the present review; we direct an interested reader to other reviews on the topic (Defronzo 2009; Petersen and Shulman 2018). Among the insulin-sensitive tissues, skeletal muscle is the primary site of glucose disposal (Ferrannini et al. 1988), and therefore plays a key role in insulin resistance and postprandial dysmetabolism. Mechanisms of skele- tal muscle insulin resistance include impaired glucose transport and phosphorylation, decreased glucose oxidation, reduced glyco- gen synthesis and impairments in the insulin signaling pathway, which collectively reduce insulin-stimulated muscle glucose uptake via glucose transporter 4 (GLUT4) (Defronzo 2009). Elevations in inflammatory cytokines and intramyocellular lipid accumulation as a result of obesity and inactivity have been shown to directly impair aspects of the insulin signaling cascade and cause hypergly- cemia (Defronzo 2009; Petersen and Shulman 2018). Prevalence and perils of postprandial hyperglycemia and hyperinsulinemia The perils of postprandial hyperglycemia for those diagnosed with prediabetes and T2D are well established. Frequent hyper- glycemic excursions induce oxidative stress, inflammation and endothelial dysfunction within blood vessels, contributing to many complications of T2D such as CVD, stroke, kidney failure, blindness, and prematuremortality (Ceriello et al. 2004; Diabetes Canada 2018). However, it is estimated that as much as 40% of pre- diabetes and T2D cases remain undiagnosed in Canada (Rosella et al. 2015) as a result of disparities in access to healthcare and/or the limitations of fasting plasma glucose (the most common Gillen et al. 857 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. screening tool) to identify individuals with disordered glycemic control (Leong et al. 2013). Indeed, postprandial dysmetabolism often manifests prior to elevations in fasting glucose concentra- tion (Woerle et al. 2004; Monnier et al. 2007). As such, a consider- able number of individuals with normal fasting glucose have elevated postprandial glycemia, which has been linked to CVD mortality (DECODE Study Group 2001; Lin et al. 2009). Indeed, among a cohort of seemingly healthy adults with normal fasting glucose, �40% (16 of 41 participants) reached postprandial glu- cose concentrations associated with prediabetes (>7.8 mmol/L) or T2D (>11.1 mmol/L) following ingestion of a mixed-macronutrient meal containing 50 g of carbohydrate (Hall et al. 2018). There is also increasing recognition that the underlying insulin resistance andhy- perinsulinemia that exists years prior to hyperglycemia is also asso- ciated with health consequences, including increased risk for T2D (Zavaroni et al. 1999). Thus, in an effort to treat, prevent and/or delay T2D and associated co-morbidities, interventions that reduce hyper- glycemia and hyperinsulinemia are needed not only in those with diagnosed prediabetes and T2D, but also in individuals with risk factors that may be at early stages of insulin resistance and post- prandial dysmetabolism (e.g., obesity, inactivity, advancing age). Measurement of postprandial glycemia and insulinemia In clinical practice, postprandial glucose tolerance is commonly assessed with the oral glucose tolerance test (OGTT), which involves ingestion of a 75 g glucose beverage and measurement of blood glucose concentration two hours later. In research settings, OGTTs involve repeat blood sampling over 2–3 h to characterize both glu- cose and insulin exposure viameasurements such as glucose and in- sulin peak, mean, and area under the curve (AUC) or incremental AUC (iAUC). OGTTs can also provide an estimate of insulin sensitiv- ity, using equations which have been validatedagainst the gold- standard measurement from the hyperinsulinemic-euglycemic clamp (Matsuda and DeFronzo 1999). A caveat of the OGTT as an index of postprandial glycemic control is that 75 g of pure glucose con- sumed in isolationmay not be common in daily life; however, there is some evidence that the glycemic response to the OGTT closely reflects that following a standardized mixed-macronutrient meal (Wolever et al. 1998). Postprandial responses may also bemeasured using a meal tolerance test in the laboratory, which is similar to the OGTT but involves consumption of a mixed-macronutrient meal. In addition, hemoglobin A1c (HbA1c) in a single blood sample provides an index of average blood glucose concentration over the Fig. 1. Postprandial glucose metabolism across the spectrum of glucose tolerance. The digestion of carbohydrate increases blood glucose concentration and stimulates secretion of the glucose-lowering hormone insulin from the pancreas. Insulin promotes glucose uptake into peripheral tissues, which returns blood glucose to pre-meal concentration (A). In individuals with high insulin sensitivity and normal glucose tolerance, lower concentrations of insulin facilitate glucose uptake into peripheral tissues (e.g., skeletal muscle; the largest site of glucose disposal). In individuals with reduced insulin sensitivity (e.g., prediabetes) hyperinsulinemia is needed to facilitate the same glucose uptake. In type 2 diabetes, hyperglycemia ensues as a result of increasing peripheral insulin resistance and pancreatic b-cell failure (B). Glucose (blue hexagon), insulin (yellow circle), muscle insulin receptor (blue receptor), GLUT4 (yellow transporter). Created with Biorender.com. [Colour online.] 858 Appl. Physiol. Nutr. Metab. Vol. 46, 2021 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://Biorender.com past 3 months, which postprandial glycemia is a large contributor to (Monnier et al. 2003). More recently, continuous glucose monitors (CGM) have emerged as a novel method for measuring postprandial blood glucose responses to real meals consumed under ‘free-living’ conditions (i.e., outside of the laboratory). CGM measures interstitial glu- cose concentrations every 5 min via a small sensor inserted beneath the skin (typically in the abdomen or upper arm), which provides a wealth of information on the direction, magnitude, and frequency of blood glucose oscillations throughout the day and in response to meals (Rawlings et al. 2011). Moreover, the utility of CGM for measuring meal responses has been bolstered by evidence demonstrating the reproducibility of CGM-derived postprandial glycemic responses within an individual (Zeevi et al. 2015), and validity of post-meal CGM-derived glucose con- centrations compared with gold-standard venous blood or capil- lary sampling (Röhling et al. 2019). Exercise as a therapeutic strategy for reducing postprandial glucose and insulin excursions Exercise is a cornerstone in the prevention and treatment of T2D, in part due to its established role in reducing postprandial glycemic excursions (MacLeod et al. 2013). While there is a gen- eral appreciation for this exercise-induced benefit among many professionals and patients, effective knowledge translation requires an understanding of the influence of a single exercise session (acute exercise) compared with repeated exercise sessions (chronic exercise training), the efficacy of different types of exercise (e.g., walking, high-intensity exercise, resistance exercise) and the impact of timing and macronutrient composition of meals around exercise on exercise-induced improvements in glyce- mia (Fig. 2). Phase 1: Exercise can immediately lower blood glucose concentration Exercise increases skeletal muscle energy demand, which can increase muscle glucose uptake 20-fold compared with rest (Wahren et al. 1971). In response to contractile signals during exercise, GLUT4 is translocated to the plasma membrane to facilitate glucose uptake via insulin-independent mechanisms (Wojtaszewski et al. 1999). Importantly, this exercise-induced glucose uptake pathway remains intact in adults with insulin resistance, which provides a stimulus to immediately lower blood glucose concentration in individuals with prediabetes or T2D (Martin et al. 1995). Increased blood flow to active muscle during exercise also supports the increase in muscle glucose uptake, and current hypotheses suggest that the intrinsic trans- porter activity of GLUT4 may be increased to facilitate large increases in glucose uptake during exercise (Richter 2021). The prevailing blood glucose concentration during exercise is also dependent on glucose production from the liver, which is stimu- lated by counter-regulatory hormones at rest and during exer- cise (Wahren and Ekberg 2007). As such, the net effect of exercise on glycemia is determined by the balance between hepatic glucose production and peripheral glucose uptake. In adults with prediabetes or T2D, a net reduction in blood glucose concentration during exercise is usually observed, espe- cially if performed in the postprandial state (Borror et al. 2018). For example, traditional moderate-intensity continuous exercise involving 45 min of cycling at �50% maximal oxygen uptake (V_O2max) immediately lowered blood glucose concentration, as Fig. 2. Exercise-nutrient interactions to maximize exercise-induced improvements in glycemic control and insulin sensitivity. Left panel: A single session of exercise increases contraction-mediated glucose uptake, which provides a stimulus to lower blood glucose concentration. Performing exercise after rather than before a meal leads to more consistent reductions in the postprandial glycemic excursions due to additive effects of contraction- and insulin-stimulated glucose uptake. Middle panel: After exercise, peripheral insulin sensitivity is increased for up to 48 h. Consuming carbohydrate, but not fat or protein, after exercise reduces the magnitude of this exercise-induced increase in insulin sensitivity and glycemic control. Right panel: Exercise training elicits muscle remodeling that contributes to enhanced ‘chronic’ insulin sensitivity (although this can be quickly reversed if exercise is discontinued). Performing exercise training in the fasted- compared with carbohydrate fed-state has been shown to augment training-induced improvements in muscle remodeling and insulin sensitivity in young males, but this exercise-nutrient interaction has yet to be supported in other populations, including adults with prediabetes or T2D. Created with Biorender.com. [Colour online.] Gillen et al. 859 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://Biorender.com compared with a non-exercise control, in adults with T2D (Larsen et al. 1997). More recently, a 20-minute low-volume high-intensity interval exercise (HIIE) protocol, involving 10�1-min cycling intervals at�90% HRmax interspersed with 1min of recovery, low- ered blood glucose concentration during exercise in adults with T2D (Gillen et al. 2012). Influence of acute exercise-nutrient timing on postprandial glycemic excursions The majority of studies documenting exercise-induced reduc- tions in blood glucose concentration relative to a non-exercise control condition have had participants perform exercise in the postprandial state, or after a meal (Larsen et al. 1997; Gillen et al. 2012). When exercise is performed postprandially, both contrac- tion- and insulin-mediated glucose uptake are stimulated, result- ing in an additive effect on skeletal muscle glucose uptake (Goodyear et al. 1996). Additionally, exercising in thepostpran- dial state is associated with a higher insulin to glucagon ratio (Poirier et al. 2001), which can lower hepatic glucose production (Kowalski et al. 2017). Limited studies have directly compared postprandial to pre- prandial exercise in adults with T2D; however available evidence suggests that exercise performed postprandially elicits superior reductions in meal-induced glucose excursions (Poirier et al. 2000; Colberg et al. 2009; Heden et al. 2015). For example, Colberg and colleagues demonstrated that a 20-min low-intensity walk (�2.2 mph) initiated immediately after – but not before – a mixed-macronutrient dinner lowered themeal-induced glycemic excursion in adults with T2D when measured 60 min following meal consumption (Colberg et al. 2009). Similar findings were observed by Heden et al., who demonstrated that a 30 min ses- sion of resistance exercise in adults with T2D performed 45 min after a mixed-macronutrient meal lowered plasma glucose iAUC to a greater extent than when the same exercise was performed �30 min before the meal (Heden et al. 2015). Consistent with these findings, a recent systematic review suggested that the optimal time for adults with T2D to initiate exercise is within 3 h of the largest meal of the day. In this regard, the authors con- cluded that many types of exercise are effective, including walk- ing, resistance exercise, cycling or stair climbing, with higher exercise volumes leading to more consistent reductions in post- prandial glycemia (Borror et al. 2018). Given that the evening (din- ner) meal is typically highest in energy and carbohydrate content among Western society (Almoosawi et al. 2012), postprandial exercise following dinner may be particularly beneficial. How- ever, the first meal of the day (breakfast) may also be important to target, as it has been demonstrated to elicit the largest post- prandial glycemic excursion across the day in those with T2D (Pearce et al. 2008). Post-meal exercise is also beneficial in normoglycemic individ- uals and adults with overweight and obesity (Aqeel et al. 2020). For example, 60 min of moderate-intensity continuous cycling at 65% peak oxygen uptake (V_O2peak) performed after, but not before, a mixed-macronutrient meal reduced insulin AUC in males with obesity (Edinburgh et al. 2020). In healthy, normal-weight adults, a 30 min low-intensity walk or session of body-weight resistance exercise (3 sets of 10 squats, 10 push-ups, 10 lunges, and 10 sit-ups) reduced the 2 h postprandial glucose average and AUC when per- formed immediately after a liquid breakfast meal, compared with both a non-exercise control and pre-meal exercise condi- tion (Solomon et al. 2020). A recent investigation evaluated an impressive number of exercise/meal combinations on the glyce- mic response to a high-carbohydrate breakfast meal (cornflakes with milk) in healthy adults (Bellini et al. 2021). The glycemic excursion was not lowered by pre-meal exercise, but various types of post-meal activity (30 min of resistance exercise, cycling, ellipti- cal or brisk walking) performed 15–30 min after breakfast reduced the postprandial glycemic excursion, as reflected by a lower peak and/ormean glucose concentration relative to a non-exercise con- trol. To achieve the largest benefit, beginning exercise in close proximity to the meal appears important, as brisk walking ini- tiated 15 min following breakfast led to greater improvements in postprandial glycemia than when initiated 30 min following breakfast in healthy adults (Bellini et al. 2021). Influence of exercise ‘snacks’ on postprandial glycemic and insulinemic excursions Adults spend the majority of waking hours in the postprandial state, which often coincides with periods of prolonged sitting that is characteristic of many modern occupations, methods of transportation and leisure-time activities. In adults with and without T2D, prolonged periods of sedentary time are linked with worse glycemic control and elevated postprandial glycemic and insulinemic excursions (Peddie et al. 2013; Fritschi et al. 2016). However, interrupting prolonged periods of sitting with brief, repeated activity breaks – often termed exercise ‘snacks’ – can reduce postprandial glycemia and insulinemia throughout the day. For example, �2–3 min of light-intensity treadmill walk- ing or body-weight resistance exercise every 30 min reduces post- prandial glycemic excursions in adults with T2D (Dempsey et al. 2016) and insulinemic excursions in adults whom are obese (Larsen et al. 2017) and inactive (Gillen et al. 2021). The improved glycemic control with small activity breaks throughout the day may be a result of frequently stimulating contraction-mediated muscle glucose uptake, interrupting sedentary time per se, or a combination of the two. For those with limited access to equip- ment and/or space, repeated chair stands as a form of body- weight exercise (Gillen et al. 2021) or stair climbing (Rafiei et al. 2021) may be an efficacious activity break. In addition, strategi- cally targeting postprandial periods throughout the day with less frequent, but longer activity breaks (10–15 min walks after each meal) has been demonstrated to reduce postprandial hyperglyce- mia and improves 24 h glycemic control in adults with prediabe- tes (DiPietro et al. 2013) and T2D (Reynolds et al. 2016). Phase 2: Exercise can acutely improve insulin sensitivity for hours after exercise Increased contraction-mediated muscle glucose uptake generally subsides within 3 h following exercise cessation. Subsequently, peripheral insulin sensitivity is enhanced via insulin-dependent mechanisms for up to 48 h following exercise in adults with and without insulin resistance (Devlin and Horton 1985; Mikines et al. 1988; Perseghin et al. 1996; Koopman et al. 2005; Ortega et al. 2015). The insulin-sensitizing effects of moderate-intensity continuous exercise are well-established (e.g., running or cycling for 60–90min at 50%–75% V_O2max) (Mikines et al. 1988; Perseghin et al. 1996), but other types of exercise are also effective. For example, low-intensity walking for 60 min in the afternoon improves insulin sensitivity the following morning in adults with obesity, measured with the hyperinsulinemic-euglycemic clamp (Newsom et al. 2013). On the other end of the intensity-duration spectrum, short, high-intensity efforts, involving 4–6 “all out” 30-S sprints interspersed with 4 min of recovery, has also been shown to improve insulin sensitivity for up to 48 h in healthy males, as assessed via an intravenous glucose tolerance test (Ortega et al. 2015). While less research has evaluated the effects of resistance exercise, a 40min session that targeted the lower-body and performed at 75% of 1 repetition maximum (1-RM) improved insulin sensitivity by �13% in young males when meas- ured 24 h post-exercise using an intravenous insulin tolerance test (Koopman et al. 2005). The transient increases in peripheral insulin sensitivity in the days following acute exercise facilitates increased muscle glu- cose uptake and improves glycemic control in adults with obesity and T2D. For example, reductions in CGM-derived 24 h average glucose concentrations and postprandial glycemic excursions 860 Appl. Physiol. Nutr. Metab. Vol. 46, 2021 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. have been reported following an acute bout of HIIE involving 8-10x1-min cycling intervals at �90% HRmax interspersed with 1 min recovery in adults with obesity or T2D (Gillen et al. 2012; Little et al. 2014; Parker et al. 2017). Similarly, 45–60 min of moderate-intensity continuous cycling lowered the postprandial glucose AUC of next-daymeals (Oberlin et al. 2014) and prevalence of hyperglycemia by �33% over the subsequent 24 h (Van Dijk et al. 2012) in adults with T2D. In the latter study,a 45 min session of re- sistance exercise performed at 75% 1-RM reduced 24hhyperglycemia similarly to cycling exercise (VanDijk et al. 2012). Improvements in insulin-stimulated muscle glucose uptake post-exercise are primarily attributed to muscle glycogen re- synthesis and enhanced sensitivity of select proteins in the insu- lin signaling pathway (Wojtaszewski and Richter 2006). Muscle glycogen synthase activity is increased post-exercise in an effort to promote glycogen re-synthesis (Wojtaszewski et al. 2000), with elevations in glycogen synthase and muscle glucose dis- posal proportional to glycogen use during exercise (Bogardus et al. 1983). In addition, a distal protein in the insulin signaling cascade, Akt substrate of 160 kDa (AS160; also known as TBC1D4), is activated by signals from prior exercise, such as 50 adenosine mono- phosphate-activated protein kinase (AMPK), and is associated with increased insulin-stimulated glucose uptake in the post-exercise pe- riod (Treebak et al. 2006; Steenberg et al. 2019). There is also emerg- ing evidence to suggest that acute exercise redistributes GLUT4 to a more easily “recruitable” site in muscle (Knudsen et al. 2020) and enhances muscle membrane permeability to glucose in the post- exercise period (McConell et al. 2020). Influence of post-exercisemacronutrient intake on acute improvements in insulin sensitivity The time course of improvement in insulin sensitivity after exercise can be influenced by nutrition in the post-exercise pe- riod. A growing body of evidence, albeit mostly in healthy adults, suggests that replenishing the exercise-induced energy deficit with carbohydrate following moderate-intensity continuous exer- cise blunts next-day improvements in insulin sensitivity (Newsom et al. 2010; Taylor et al. 2018) and postprandial glycemic control (Schleh et al. 2020). However, when low-carbohydrate iso-energetic meals containing fat and protein (Newsom et al. 2010) or surplus calories from fat (Fox et al. 2004) are provided post-exercise, improvements in next-day insulin sensitivity are still observed. Taken together, these results suggest that acute improvements in insulin sensitivity and glycemic control are sensitive to carbo- hydrate intake, most likely as a result of muscle and/or liver gly- cogen repletion post-exercise. From a practical perspective, this may suggest that consuming low-carbohydrate meals after mod- erate-intensity continuous exercise may prolong acute improve- ments in insulin sensitivity and glycemic control, but more research is needed specifically in individuals with prediabetes and T2D. In addition, limited research has assessed the influ- ence of post-exercise nutrition following other types of exercise. Venables et al. found that consuming a high-energy carbohydrate- protein beverage (�1000 kcal; 200 g maltodextrin, 50 g whey protein) following acute resistance exercise did not blunt the exercise-induced improvement in insulin sensitivity when meas- ured 6 h post-exercise (Venables et al. 2007). This may suggest that the influence of post-exercise carbohydrate intake on exercise- induced improvements in insulin sensitivity are exercise-mode specific, but more research is needed using diverse exercise protocols. Phase 3: Repeated sessions of exercise result in adaptations that improve glycemic control Repeated sessions of exercise, or exercise training, result in adaptations that improve insulin sensitivity and glycemic con- trol in physically inactive adults (Gillen et al. 2016) and those with prediabetes or T2D (Kirwan et al. 2009; Dubé et al. 2011). Moderate-intensity continuous training (MICT) has traditionally been recommended for T2D management, but other forms of exercise including resistance training have been shown to similarly lower HbA1c after 12 weeks of training (Snowling and Hopkins 2006). When aerobic and resistance training are com- bined, greater improvements in HbA1c are observed compared with either regimen alone (Sigal et al. 2007), suggesting that adults with T2D should engage in both types of exercise. The additive effect of combined aerobic and resistance exercise on glycemic con- trol may also be in part due to the greater volume of exercise per- formed in those studies, as meta-analyses suggest that acquiring ≥150 min of exercise per week results in greater reductions in HbA1c than exercisingin insulin sensitivity and glycemic control Van Proeyen and colleagues were the first to demonstrate that performing 4 weekly sessions of MICT (60–90 min at 70% V_O2peak) in the fasted, but not carbohydrate-fed, state improved OGTT- derived insulin sensitivity and glucose tolerance after 6 weeks in healthymales (Van Proeyen et al. 2010). More recently, Edinburgh et al. also demonstrated superior effects of fasted- compared with fed-state training for improving OGTT-derived postprandial insu- linemia and insulin sensitivity inmales with overweight and obe- sity who participated in a more modest 6-week MICT protocol (30–50 min at �50%–55% peak power output, 3 times per week) (Edinburgh et al. 2020). The superior improvements in insulin sensitivity have been associated with augmented training-induced skeletal muscle remodeling, which has been accredited to enhanced fat oxidation and metabolic stress during acute exercise sessions performed in the fasted state (Van Proeyen et al. 2010; Edinburgh et al. 2020). The benefits of fasted-state training on insulin sensitivity, how- ever, appear limited to moderate-intensity exercise performed in young healthy males. High-intensity exercise performed >70% V_O2peak is carbohydrate-dependent (particularly muscle glyco- gen) regardless of nutritional timing, and therefore does not aug- ment exercise-induced fat oxidation when performed in the fasted state (Bergman and Brooks 1999). As such, when 6 weeks of low-volume HIIT, involving 10x1-min cycling intervals at 90% V_O2peak, was performed 3 times per week in the fasted vs. fed state in women with overweight and obesity, no differences in training-induced changes in insulin sensitivity, skeletal muscle mitochondrial content or GLUT4 protein content were observed (Gillen et al. 2013). It is also possible that sex-based differences partly explain the discrepancy between this study and others, as even moderate-intensity exercise (�60% V_O2peak) performed in the fasted state failed to augment training-induced gains in mito- chondrial content in women (Stannard et al. 2010). Limited research has investigated fasted-state exercise training in adults with prediabetes or T2D; however, current evidence does not support this exercise-nutrient combination in adults with T2D. In fact, Verboven et al. recently observed that 12 weeks of a combined moderate-intensity walking and cycling protocol (45 min per session) performed three times per week after rather than before breakfast led to greater improvements in HbA1c in adult males with T2D (Verboven et al. 2020), likely reflecting the superiority of repeated acute exercise training sessions per- formed in the postprandial state. To our knowledge, only one study has assessed training-induced changes in insulin sensitiv- ity in response to fasted vs. fed exercise in adults with T2D. Fol- lowing 8 weeks of a combined aerobic and strength-training program, the improvement in fasting insulin sensitivity (HOMA- IR) measured 3–5 days following training was similar regardless of nutritional state around training sessions (Brinkmann et al. 2019). The lack of difference between fasted and fed training in adults with T2D may be due to their known metabolic inflexibil- ity (Goodpaster and Sparks 2017), which limits the ability to switch between fuel sources under fasted and fed conditions. It is also important to note that studies demonstrating superior effects of fasted-state training have also required participants to remain fasted for �2 h following exercise (Van Proeyen et al. 2010; Edinburgh et al. 2020), whichwas not implemented in studies with T2D but may be necessary to obtain the augmented training responses. While rigorously controlled trials with gold-standard methodology for assessment of insulin sensitivity are still needed, current literature does not suggest that fasted-state exercise aug- ments training adaptations in adults with T2D. Indeed, the glyce- mic benefit of repeated, acute exercise sessions performed in the postprandial state appear to providemore consistent glycemic ben- efits in adults with T2D (Borror et al. 2018). Future directions and conclusion The vast majority of research within this field has been con- ducted in male participants, or mixed cohorts of males and females, with limited research specifically conducted in cohorts of females with or without T2D. Importantly, sex of participants has been found to influence exercise-induced responses, with blunted acute (Munan et al. 2020) and chronic (Boule et al. 2005; Gillen et al. 2014) improvements in glycemic control observed in females. However, failure to properly match males and females for baseline fitness and/or level of insulin resistance, or failure to control for menstrual cycle phase and/or oral contraceptive use, may confound conclusions regarding sex-based differences. Rig- orously controlled studies are needed to determine if exercise- induced effects on postprandial glycemic control are different in females compared with their male counterparts, both with and without T2D. Emerging research suggests that exercise timing (morning vs. afternoon or early evening) may explain heterogeneity amongst studies with regards to the effects of exercise on glycemic control in adults with T2D (Munan et al. 2020). Indeed, two recent studies have suggested that exercising in the afternoon, as opposed to the morning, leads to greater acute improvements in 24 h glyce- mic control (Savikj et al. 2019) and chronic improvements in insu- lin sensitivity (Mancilla et al. 2021). While the mechanisms for this remain largely unknown, future studies that thoroughly evaluate the impact of exercise timing across the day on improve- ments in glycemic control will help further optimize exercise recommendations for improved postprandial glycemic control. Finally, many acute and chronic exercise studies evaluate changes in peripheral insulin resistance using techniques that involve intravenously administered glucose and/or insulin (e.g., hyperinsulinemic-euglycemic clamps, intravenous glucose toler- ance tests). While it is indisputable that these methods represent the gold standard for determination of peripheral insulin resist- ance, they involve supra-physiological glucose and insulin doses that do not mimic glycemic and insulinemic responses to oral food consumption that is typical of Western eating patterns (e.g., multiple mixed-macronutrient meals daily). While peripheral in- sulin resistance has been demonstrated to be positively related to postprandial hyperglycemia (Dickinson et al. 2002), future studies should also focus on direct measurement of postprandial responses to high-carbohydrate and/or mixed-macronutrient whole foods in an effort to improve translation of the findings to real-world environments. Indeed, the emergence of CGM is a highly useful research tool in this regard. To conclude, acute and chronic exercise provide a powerful stimulus to reduce postprandial hyperglycemia and hyperinsu- linemia associated with carbohydrate intake. These exercise- induced improvements in glycemic control may be further pronounced if the timing of exercise around meals and post- exercise macronutrient intake are tactfully considered to augment the underlying skeletal muscle mechanisms. Additional research evaluating both the basic science and clinical application of these exercise-nutrient interactions on glycemic control will help optimize exercise and nutritional recommendations for the prevention and treatment of T2D. Conflict of interest statement The authors report no conflicts of interest. References Almoosawi, S., Winter, J., Prynne, C.J., Hardy, R., and Stephen, A.M. 2012. Daily profiles of energy and nutrient intakes: Are eating profiles chang- ing over time. Eur. J. Clin. Nutr. 66(6): 678–686. doi:10.1038/ejcn.2011.210. PMID:22190135. Aqeel, M., Forster, A., Richards, E.A., Hennessy, E., McGowan, B., and Bhadra, A., et al. 2020. The effect of timing of exercise and eating on 862 Appl. Physiol. Nutr.Metab. Vol. 46, 2021 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://dx.doi.org/10.1038/ejcn.2011.210 http://www.ncbi.nlm.nih.gov/pubmed/22190135 postprandial response in adults: a systematic review. Nutrients, 12(1): 221. doi:10.3390/nu12010221. PMID:31952250. Bacchi, E., Negri, C., Targher, G., Faccioli, N., Lanza, M., and Zoppini, G., et al. 2013. Both resistance training and aerobic training reduce hepatic fat content in type 2 diabetic subjects with nonalcoholic fatty liver dis- ease (the RAED2 randomized trial). Hepatology, 58(4): 1287–1295. doi:10.1002/ hep.26393. PMID:23504926. Bellini, A., Nicolò, A., Bazzucchi, I., and Sacchetti, M. 2021. Effects of differ- ent exercise strategies to improve postprandial glycemia in healthy indi- viduals. Med. Sci. Sports Exerc. [Online ahead of print.] doi:10.1249/MSS. 0000000000002607. PMID:33481486. Bergman, B.C., and Brooks, G.A. 1999. Respiratory gas-exchange ratios dur- ing graded exercise in fed and fasted trained and untrained men. J. Appl. Physiol. 86(2): 479–487. doi:10.1152/jappl.1999.86.2.479. PMID:9931180. Bogardus, C., Thuillez, P., Ravussin, E., Vasquez, B., Narimiga, M., and Azhar, S. 1983. Effect of muscle glycogen depletion on in vivo insulin action in man. J. Clin. Invest. 72(5): 1605–1610. doi:10.1172/JCI111119. PMID:6415114. Borror, A., Zieff, G., Battaglini, C., and Stoner, L. 2018. The effects of post- prandial exercise on glucose control in individuals with type 2 diabetes: a systematic review. Sports Med. 48(6): 1479–1491. doi:10.1007/s40279-018- 0864-x. PMID:29396781. Boule, N.G., Weisnagel, S., Lakka, T.A.T., Bergman, R., Rankinen, T., and Leon, A.S., et al. 2005. Effects of exercise training on glucose homeostasis: The HERITAGE Family Study. Diabetes Care, 28(1): 108–114. doi:10.2337/ diacare.28.1.108. PMID:15616242. Brinkmann, C., Weh-Gray, O., Brixius, K., Bloch, W., Predel, H.G., and Kreutz, T. 2019. Effects of exercising before breakfast on the health of T2DM patients—A randomized controlled trial. Scand. J. Med. Sci. Sports, 29(12): 1930–1936. doi:10.1111/sms.13543. PMID:31442336. Ceriello, A., Hanefeld, M., Leiter, L., Monnier, L., Moses, A., and Owens, D., et al. 2004. Postprandial glucose regulation and diabetic complications. Arch. Intern. Med. 164(19): 2090–2095. doi:10.1001/archinte.164.19.2090. PMID: 15505121. Ceriello, A., Colagiuri, S., Gerich, J., and Tuomilehto, J. 2008. Guideline for management of postmeal glucose. Nutr. Metab. Cardiovasc. Dis. 18(4): S17–S33. doi:10.1016/j.numecd.2008.01.012. PMID:18501571. Chen, L., Pei, J.H., Kuang, J., Chen, H.M., Chen, Z., Li, Z.W., and Yang, H.Z. 2015. Effect of lifestyle intervention in patients with type 2 diabetes: A meta-analysis. Metabolism, 64(2): 338–347. doi:10.1016/j.metabol.2014.10.018. PMID:25467842. Colberg, S.R., Zarrabi, L., Bennington, L., Nakave, A., Thomas Somma, C., Swain, D.P., and Sechrist, S.R. 2009. Postprandial walking is better for lowering the glycemic effect of dinner than pre-dinner exercise in type 2 diabetic individuals. J. Am. Med. Dir. Assoc. 10(6): 394–397. doi:10.1016/j. jamda.2009.03.015. PMID:19560716. Colberg, S.R., Sigal, R.J., Yardley, J.E., Riddell, M.C., Dunstan, D.W., and Dempsey, P.C., et al. 2016. Physical activity/exercise and diabetes: a posi- tion statement of the American Diabetes Association. Diabetes Care, 39(11): 2065–2079. doi:10.2337/dc16-1728. PMID:27926890. Decode Study Group. 2001. Glucose tolerance and cardiovascular mortality. Arch. Intern. Med. 161(3): 397–404. doi:10.1001/archinte.161.3.397. PMID:11176766. Defronzo, R.A. 2009. From the triumvirate to the ominous octet: A new par- adigm for the treatment of type 2 diabetes mellitus. Diabetes, 58(4): 773– 795. doi:10.2337/db09-9028. PMID:19336687. Dempsey, P.C., Larsen, R.N., Sethi, P., Sacre, J.W., Straznicky, N.E., and Cohen, N.D., et al. 2016. Benefits for type 2 diabetes of interrupting pro- longed sitting with brief bouts of light walking or simple resistance activ- ities. Diabetes Care, 39(6): 964–972. doi:10.2337/dc15-2336. PMID:27208318. Devlin, J.T., and Horton, E.S. 1985. Effects of prior high-intensity exercise on glucose metabolism in normal and insulin-resistant men. Diabetes, 34(10): 973–979. doi:10.2337/diab.34.10.973. PMID:3930321. Diabetes Canada. 2018. Diabetes 360°: a framework for a diabetes strategy for Canada. Ottawa. Available from https://www.diabetes.ca/DiabetesCanadaWebsite/ media/Advocacy-and-Policy/Diabetes-360-Recommendations.pdf. Dickinson, S., Colagiuri, S., Faramus, E., Petocz, P., and Brand-Miller, J.C. 2002. Postprandial hyperglycemia and insulin sensitivity differ among lean young adults of different ethnicities. J. Nutr. 132(9): 2574–2579. doi:10.1093/ jn/132.9.2574. PMID:12221211. DiPietro, L., Gribok, A., Stevens, M.S., Hamm, L.F., and Rumpler, W. 2013. Three 15-min bouts of moderate postmeal walking significantly improves 24-h glycemic control in older people at risk for impaired glucose tolerance. Diabetes Care, 36(10): 3262–3268. doi:10.2337/dc13-0084. PMID:23761134. Dubé, J.J., Amati, F., Toledo, F.G.S., Stefanovic-Racic, M., Rossi, A., Coen, P., and Goodpaster, B.H. 2011. Effects of weight loss and exercise on insulin resistance, and intramyocellular triacylglycerol, diacylglycerol and ceramide. Diabetologia, 54(5): 1147–1156. doi:10.1007/s00125-011-2065-0. PMID:21327867. Duncan, G.E., Perri, M.G., Theriaque, D.W., Hutson, A.D., Eckel, R.H., and Stacpoole, P.W. 2003. Exercise training, without weight loss, increases in- sulin sensitivity and postheparin plasma lipase activity in previously sed- entary adults. Diabetes Care, 26(3): 557–562. doi:10.2337/diacare.26.3.557. PMID:12610001. Edinburgh, R.M., Bradley, H.E., Abdullah, N.F., Robinson, S.L., Chrzanowski-Smith, O.J., and Walhin, J.P., et al. 2020. Lipid metabolism links nutrient-exercise timing to insulin sensitivity in men classified as overweight or obese. J. Clin. Endo- crinol. Metab. 105(3): 660–676. doi:10.1210/clinem/dgz104. PMID:31628477. Feinman, R.D., Pogozelski, W.K., Astrup, A., Bernstein, R.K., Fine, E.J., and Westman, E.C., et al. 2015. Dietary carbohydrate restriction as the first approach in diabetes management: Critical review and evidence base. Nutrition, 31(1): 1–13. doi:10.1016/j.nut.2014.06.011. PMID:25287761. Ferrannini, E., Simonson, D.C., Katz, L.D., Reichard, G., Bevilacqua, S., and Barrett, E.J., et al. 1988. The disposal of an oral glucose load in patients with non-insulin-dependent diabetes. Metabolism, 37(1): 79–85. doi:10.1016/ 0026-0495(88)90033-9. PMID:3275860. Fox, A.K., Kaufman, A.E., and Horowitz, J.F. 2004. Adding fat calories to meals after exercise does not alter glucose tolerance. J. Appl. Physiol. 97(1): 11–16. doi:10.1152/japplphysiol.01398.2003. PMID:14978010. Francois, M.E., Durrer, C., Pistawka, K.J., Halperin, F.A., Chang, C., and Little, J.P. 2017. Combined interval training and post-exercise nutrition in type 2 diabetes: a randomized control trial. Front. Physiol. 8(July): 1–11. doi:10.3389/fphys.2017.00528. PMID:28154536. Fritschi, C., Park, H., Richardson, A., Park, C., Collins, E.G., and Mermelstein, R., et al. 2016. Association between daily time spent in sedentary behavior and duration of hyperglycemia in type 2 diabetes. Biol. Res. Nurs. 18(2): 160–166. doi:10.1177/1099800415600065. PMID:26282912. Gillen, J.B., Little, J.P., Punthakee, Z., Tarnopolsky, M.A., Riddell, M.C., and Gibala, M.J. 2012. Acute high-intensity interval exercise reduces the post- prandial glucose response and prevalence of hyperglycaemia in patients with type 2 diabetes. Diabetes Obes. Metab. 14: 575–577. doi:10.1111/j.1463- 1326.2012.01564.x. PMID:22268455. Gillen, J.B., Percival, M.E., Ludzki, A., Tarnopolsky, M.A., and Gibala, M.J. 2013. Interval training in the fed or fasted state improves body composi- tion andmuscle oxidative capacity in overweight women. Obesity, 21(11): 2249–2255. doi:10.1002/oby.20379. PMID:23723099. Gillen, J.B., Percival, M.E., Skelly, L.E., Martin, B.J., Tan, R.B., Tarnopolsky, M.A., and Gibala, M.J. 2014. Three minutes of all-out intermittent exercise per week increases skeletal muscle oxidative capacity and improves cardiometa- bolic health. PLoS ONE, 9(11): e111489. doi:10.1371/journal.pone.0111489. PMID: 25365337. Gillen, J.B., Martin, B.J., Macinnis, M.J., Skelly, L.E., Tarnopolsky, M.A., and Gibala, M.J. 2016. Twelve weeks of sprint interval training improves indi- ces of cardiometabolic health similar to traditional endurance training despite a five-fold lower exercise volume and time commitment. PLoS ONE, 11(4): e0154075. doi:10.1371/journal.pone.0154075. PMID:27115137. Gillen, J.B., Estafanos, S., Williamson, E., Hodson, N., Malowany, J.M., Kumbhare, D.A., and Moore, D.R. 2021. Interrupting prolonged sitting with repeated chair stands or short walks reduces postprandial insuline- mia in healthy adults. J. Appl. Physiol. 130(1): 1–4. doi:10.1152/japplphysiol. 00542.2020. PMID:33119472. Goodpaster, B.H., and Sparks, L.M. 2017. Metabolic flexibility in health and disease. Cell Metab. 25(5): 1027–1036. doi:10.1016/j.cmet.2017.04.015. PMID: 28467922. Goodpaster, B.H., Kelley, D.E., Wing, R.R., Meier, A., and Thaete, F.L. 1999. Effects of weight loss on regional fat distribution and insulin sensitivity in obesity. Diabetes, 48(4): 839–847. doi:10.2337/diabetes.48.4.839. PMID: 10102702. Goodyear, L.J., Chang, P.Y., Sherwood, D.J., Dufresne, S.D., and Moller, D.E. 1996. Effects of exercise and insulin on mitogen-activated protein kinase signaling pathways in rat skeletal muscle. Am. J. Physiol. Metab. 271(2): E403–E408. doi:10.1152/ajpendo.1996.271.2.E403. PMID:8770036. Hall, H., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R., McLaughlin, T., and Snyder, M. 2018. Glucotypes reveal new patterns of glucose dysregu- lation. PLoS Biol. 16(7): e2005143. doi:10.1371/journal.pbio.2005143. PMID: 30040822. Hanefeld, M., Fischer, S., Julius, U., Schulze, J., Schwanebeck, U., and Schmechel, H., et al. 1996. Risk factors for myocardial infarction and death in newly detected NIDDM: The Diabetes Intervention Study, 11-year follow-up. Diabetologia, 39(12): 1577–1583. doi:10.1007/s001250050617. PMID: 8960845. Heden, T.D., Winn, N.C., Mari, A., Booth, F.W., Rector, R.S., Thyfault, J.P., and Kanaley, J.A. 2015. Postdinner resistance exercise improves postpran- dial risk factors more effectively than predinner resistance exercise in patients with type 2 diabetes. J. Appl. Physiol. 118(5): 624–634. doi:10. 1152/japplphysiol.00917.2014. PMID:25539939. Heiskanen, M.A., Motiani, K.K., Mari, A., Saunavaara, V., Eskelinen, J.-J., and Virtanen, K.A., et al. 2018. Exercise training decreases pancreatic fat con- tent and improves beta cell function regardless of baseline glucose toler- ance: a randomised controlled trial. Diabetologia, 61: 1817–1828. doi:10. 1007/s00125-018-4627-x. PMID:29717337. Jelleyman, C., Yates, T., Donovan, G.O., Gray, L.J., King, J.A., Khunti, K., and Davies, M.J. 2015. The effects of high-intensity interval training on glu- cose regulation and insulin resistance : a meta-analysis. Obes. Rev. 16(10): 942–961. doi:10.1111/obr.12317. PMID:26481101. Karstoft, K., Thomsen, C., Winding, K., Pedersen, B., Knudsen, S., Solomon, T., and Nielsen, J. 2013. The effects of free-living interval-walking training on gly- cemic control, body composition, and physical fitness in type 2 diabetes patients. Diabetes Care, 36(2): 228–236. doi:10.2337/dc12-0658. PMID:23002086. Kirwan, J.P., Solomon, T.P.J., Wojta, D.M., Staten, M.A., and Holloszy, J.O. 2009. Effects of 7 days of exercise training on insulin sensitivity and responsiveness in type 2 diabetes mellitus. Am. J. Physiol. Endocrinol. Metab. 297(1): E151–E156. doi:10.1152/ajpendo.00210.2009. PMID:19383872. Gillen et al. 863 Published by Canadian Science Publishing A pp l. Ph ys io l. N ut r. M et ab . D ow nl oa de d fr om c dn sc ie nc ep ub .c om b y 18 7. 3. 24 8. 21 1 on 0 8/ 23 /2 1 Fo r pe rs on al u se o nl y. http://dx.doi.org/10.3390/nu12010221 http://www.ncbi.nlm.nih.gov/pubmed/31952250 http://dx.doi.org/10.1002/hep.26393 http://dx.doi.org/10.1002/hep.26393 http://www.ncbi.nlm.nih.gov/pubmed/23504926 http://dx.doi.org/10.1249/MSS.0000000000002607 http://dx.doi.org/10.1249/MSS.0000000000002607 http://www.ncbi.nlm.nih.gov/pubmed/33481486 http://dx.doi.org/10.1152/jappl.1999.86.2.479 http://www.ncbi.nlm.nih.gov/pubmed/9931180 http://dx.doi.org/10.1172/JCI111119 http://www.ncbi.nlm.nih.gov/pubmed/6415114 http://dx.doi.org/10.1007/s40279-018-0864-x http://dx.doi.org/10.1007/s40279-018-0864-x http://www.ncbi.nlm.nih.gov/pubmed/29396781 http://dx.doi.org/10.2337/diacare.28.1.108 http://dx.doi.org/10.2337/diacare.28.1.108 http://www.ncbi.nlm.nih.gov/pubmed/15616242 http://dx.doi.org/10.1111/sms.13543 http://www.ncbi.nlm.nih.gov/pubmed/31442336 http://dx.doi.org/10.1001/archinte.164.19.2090 http://www.ncbi.nlm.nih.gov/pubmed/15505121 http://dx.doi.org/10.1016/j.numecd.2008.01.012 http://www.ncbi.nlm.nih.gov/pubmed/18501571 http://dx.doi.org/10.1016/j.metabol.2014.10.018 http://www.ncbi.nlm.nih.gov/pubmed/25467842 http://dx.doi.org/10.1016/j.jamda.2009.03.015 http://dx.doi.org/10.1016/j.jamda.2009.03.015 http://www.ncbi.nlm.nih.gov/pubmed/19560716 http://dx.doi.org/10.2337/dc16-1728 http://www.ncbi.nlm.nih.gov/pubmed/27926890 http://dx.doi.org/10.1001/archinte.161.3.397 http://www.ncbi.nlm.nih.gov/pubmed/11176766 http://dx.doi.org/10.2337/db09-9028 http://www.ncbi.nlm.nih.gov/pubmed/19336687 http://dx.doi.org/10.2337/dc15-2336 http://www.ncbi.nlm.nih.gov/pubmed/27208318 http://dx.doi.org/10.2337/diab.34.10.973 http://www.ncbi.nlm.nih.gov/pubmed/3930321 https://www.diabetes.ca/DiabetesCanadaWebsite/media/Advocacy-and-Policy/Diabetes-360-Recommendations.pdf https://www.diabetes.ca/DiabetesCanadaWebsite/media/Advocacy-and-Policy/Diabetes-360-Recommendations.pdf http://dx.doi.org/10.1093/jn/132.9.2574 http://dx.doi.org/10.1093/jn/132.9.2574 http://www.ncbi.nlm.nih.gov/pubmed/12221211 http://dx.doi.org/10.2337/dc13-0084 http://www.ncbi.nlm.nih.gov/pubmed/23761134 http://dx.doi.org/10.1007/s00125-011-2065-0 http://www.ncbi.nlm.nih.gov/pubmed/21327867 http://dx.doi.org/10.2337/diacare.26.3.557 http://www.ncbi.nlm.nih.gov/pubmed/12610001 http://dx.doi.org/10.1210/clinem/dgz104 http://www.ncbi.nlm.nih.gov/pubmed/31628477 http://dx.doi.org/10.1016/j.nut.2014.06.011 http://www.ncbi.nlm.nih.gov/pubmed/25287761 http://dx.doi.org/10.1016/0026-0495(88)90033-9 http://dx.doi.org/10.1016/0026-0495(88)90033-9 http://www.ncbi.nlm.nih.gov/pubmed/3275860 http://dx.doi.org/10.1152/japplphysiol.01398.2003 http://www.ncbi.nlm.nih.gov/pubmed/14978010 http://dx.doi.org/10.3389/fphys.2017.00528 http://www.ncbi.nlm.nih.gov/pubmed/28154536 http://dx.doi.org/10.1177/1099800415600065 http://www.ncbi.nlm.nih.gov/pubmed/26282912 http://dx.doi.org/10.1111/j.1463-1326.2012.01564.x http://dx.doi.org/10.1111/j.1463-1326.2012.01564.x http://www.ncbi.nlm.nih.gov/pubmed/22268455 http://dx.doi.org/10.1002/oby.20379 http://www.ncbi.nlm.nih.gov/pubmed/23723099 http://dx.doi.org/10.1371/journal.pone.0111489 http://www.ncbi.nlm.nih.gov/pubmed/25365337 http://dx.doi.org/10.1371/journal.pone.0154075 http://www.ncbi.nlm.nih.gov/pubmed/27115137 http://dx.doi.org/10.1152/japplphysiol.00542.2020 http://dx.doi.org/10.1152/japplphysiol.00542.2020 http://www.ncbi.nlm.nih.gov/pubmed/33119472 http://dx.doi.org/10.1016/j.cmet.2017.04.015 http://www.ncbi.nlm.nih.gov/pubmed/28467922 http://dx.doi.org/10.2337/diabetes.48.4.839 http://www.ncbi.nlm.nih.gov/pubmed/10102702 http://dx.doi.org/10.1152/ajpendo.1996.271.2.E403 http://www.ncbi.nlm.nih.gov/pubmed/8770036 http://dx.doi.org/10.1371/journal.pbio.2005143 http://www.ncbi.nlm.nih.gov/pubmed/30040822 http://dx.doi.org/10.1007/s001250050617 http://www.ncbi.nlm.nih.gov/pubmed/8960845 http://dx.doi.org/10.1152/japplphysiol.00917.2014http://dx.doi.org/10.1152/japplphysiol.00917.2014 http://www.ncbi.nlm.nih.gov/pubmed/25539939 http://dx.doi.org/10.1007/s00125-018-4627-x http://dx.doi.org/10.1007/s00125-018-4627-x http://www.ncbi.nlm.nih.gov/pubmed/29717337 http://dx.doi.org/10.1111/obr.12317 http://www.ncbi.nlm.nih.gov/pubmed/26481101 http://dx.doi.org/10.2337/dc12-0658 http://www.ncbi.nlm.nih.gov/pubmed/23002086 http://dx.doi.org/10.1152/ajpendo.00210.2009 http://www.ncbi.nlm.nih.gov/pubmed/19383872 Knowler, W.C., Barrett-Connor, E., Fowler, S.E., Hamman, R.F., Lachin, J.M., Walker, E.A., and Nathan, D.M. 2002. Reduction of the incidence of type 2 diabetes with lifestyle intervention or metformin. N. Engl. J. Med. 346(6): 393–403. doi:10.1056/NEJMoa012512. PMID:11832527. Knudsen, J.R., Steenberg, D.E., Hingst, J.R., Hodgson, L.R., Henriquez-Olguin, C., and Li, Z., et al. 2020. Prior exercise in humans redistributes intramuscular GLUT4 and enhances insulin-stimulated sarcolemmal and endosomal GLUT4 translocation. Mol. Metab. 39: 100998. doi:10.1016/j.molmet.2020.100998. PMID: 32305516. Koopman, R., Manders, R.J.F., Zorenc, A.H.G., Hul, G.B.J., Kuipers, H., Keizer, H.A., and van Loon, L.J.C. 2005. A single session of resistance exer- cise enhances insulin sensitivity for at least 24 h in healthy men. Eur. J. Appl. Physiol. 94(1): 180–187. doi:10.1007/s00421-004-1307-y. PMID:15761746. Kowalski, G.M., Moore, S.M., Hamley, S., Selathurai, A., and Bruce, C.R. 2017. The effect of ingested glucose dose on the suppression of endogenous glucose production in humans. Diabetes, 66(9): 2400–2406. doi:10.2337/ db17-0433. PMID:28684634. Larsen, J.J.S., Dela, F., Kjær, M., and Galbo, H. 1997. The effect of moderate exercise on postprandial glucose homeostasis in NIDDM patients. Diabe- tologia, 40(4): 447–453. doi:10.1007/s001250050699. PMID:9112022. Larsen, R.N., Dempsey, P.C., Dillon, F., Grace, M., Kingwell, B.A., Owen, N., and Dunstan, D.W. 2017. Does the type of activity “break” from pro- longed sitting differentially impact on postprandial blood glucose reduc- tions? An exploratory analysis. Appl. Physiol. Nutr. Metab. 42(8): 897–900. doi:10.1139/apnm-2016-0642. PMID:28340302. Leong, A., Dasgupta, K., Chiasson, J.L., and Rahme, E. 2013. Estimating the population prevalence of diagnosed and undiagnosed diabetes. Diabetes Care, 36(10): 3002–3008. doi:10.2337/dc12-2543. PMID:23656982. Lin, H.-J., Lee, B.-C., Ho, Y.-L., Lin, Y.-H., Chen, C.-Y., and Hsu, H.-C., et al. 2009. Postprandial glucose improves the risk prediction of cardiovascular death beyond the metabolic syndrome in the nondiabetic population. Di- abetes Care, 32(9): 1721–1726. doi:10.2337/dc08-2337. PMID:19502543. Little, J.P., Gillen, J.B., Percival, M., Safdar, A., Tarnopolsky, M.A., and Punthakee, Z., et al. 2011. Low-volume high-intensity interval training reduces hyperglycemia and increases muscle mitochondrial capacity in patients with type 2 diabetes. J. Appl. Physiol. 111(August): 1554–1560. doi:10.1152/japplphysiol.00921.2011. PMID:21868679. Little, J.P., Jung, M.E., Wright, A.E., Wright, W., and Manders, R.J.F. 2014. Effects of high-intensity interval exercise versus continuous moderate- intensity exercise on postprandial glycemic control assessed by continu- ous glucose monitoring in obese adults. Appl. Physiol. Nutr. Metab. 39(7): 835–841. doi:10.1139/apnm-2013-0512. PMID:24773254. Liubaoerjijin, Y., Terada, T., Fletcher, K., and Boulé, N.G. 2016. Effect of aerobic exercise intensity on glycemic control in type 2 diabetes: a meta-analysis of head-to-head randomized trials. Acta Diabetol. 53(5): 769–781. doi:10.1007/ s00592-016-0870-0. PMID:27255501. MacLeod, S., Terada, T., Chahal, B., and Boule, N. 2013. Exercise lowers post- prandial glucose but not fasting glucose in type 2 diabetes: a meta-analysis of studies using continuous glucose monitoring. Diabetes Metab. Res. Rev. 29: 593–603. doi:10.1002/dmrr.2461. PMID:24038928. Madsen, S.M., Thorup, A.C., Overgaard, K., and Jeppesen, P.B. 2015. High intensity interval training improves glycaemic control and pancreatic b cell function of type 2 diabetes patients. PLoS ONE, 10(8): e0133286. doi:10.1371/journal.pone.0133286. PMID:26258597. Mancilla, R., Brouwers, B., Schrauwen-Hinderling, V.B., Hesselink, M.K.C., Hoeks, J., and Schrauwen, P. 2021. Exercise training elicits superior meta- bolic effects when performed in the afternoon compared to morning in metabolically compromised humans. Physiol. Rep. 8(24): 1–10. doi:10.14814/ phy2.14669. Mari, A., Pacini, G., Murphy, E., Ludvik, B., and Nolan, J.J. 2001. A model- based method for assessing insulin sensitivity from the oral glucose tol- erance test. Diabetes Care, 24(3): 539–548. doi:10.2337/diacare.24.3.539. PMID:11289482. Martin, I.K., Katz, A., and Wahren, J. 1995. Splanchnic and muscle metabo- lism during exercise in NIDDM patients. Am. J. Physiol. Metab. 269(3): E583–E590. doi:10.1152/ajpendo.1995.269.3.E583. Matsuda, M., and DeFronzo, R.A. 1999. Insulin sensitivity indices obtained from oral glucose tolerance testing: Comparison with the euglycemic insulin clamp. Diabetes Care, 22(9): 1462–1470. doi:10.2337/diacare.22.9.1462. PMID: 10480510. McConell, G.K., Sjøberg, K.A., Ceutz, F., Gliemann, L., Nyberg, M., and Hellsten, Y., et al. 2020. Insulin-induced membrane permeability to glu- cose in human muscles at rest and following exercise. J. Physiol. 598(2): 303–315. doi:10.1113/JP278600. PMID:31696935. Mikines, K.J., Sonne, B., Farrell, P.A., Tronier, B., and Galbo, H. 1988. Effect of physical exercise on sensitivity and responsiveness to insulin humans. Am. J. Physiol. 254: E248–E259. doi:10.1152/ajpendo.1988.254.3.E248. PMID: 3126668. Monnier, L., Lapinski, H., and Colette, C. 2003. Contributions of fasting and postprandial glucose to overall hyperglycemia of type 2 diabetic patients. Diabetes Care, 26(3): 881–883. doi:10.2337/diacare.26.3.881. PMID:12610053. Monnier, L., Colette, C., Dunseath, G.J., and Owens, D.R. 2007. The loss of postprandial glycemic control precedes stepwise deterioration of fasting with worsening diabetes. Diabetes Care, 30(2): 263–269. doi:10.2337/dc06- 1612. PMID:17259492. Munan, M., Oliveira, C.L.P., Marcotte-Chénard, A., Rees, J.L., Prado, C.M., Riesco, E., and Boulé, N.G. 2020. Acute and chronic effects of exercise on continuous glucose monitoring outcomes in type 2 diabetes: a meta-analysis. Front. Endocrinol. 11(August): 495. doi:10.3389/fendo.2020.00495. PMID: 32849285. Newsom, S.A., Schenk, S., Thomas, K.M., Harber, M.P., Knuth, N.D., Goldenberg, N., and Horowitz, J.F. 2010. Energy deficit after exercise augments lipid mobilization but does not contribute to the exercise- induced increase in insulin sensitivity. J. Appl. Physiol. 108(3): 554– 560. doi:10.1152/japplphysiol.01106.2009. PMID:20044472. Newsom, S.A., Everett, A.C., Hinko, A., and Horowitz, J.F. 2013. A single ses- sion of low-intensity exercise is sufficient to enhance insulin sensitivity into the next day in obese adults. Diabetes Care, 36: 2516–2522. doi:10. 2337/dc12-2606. Oberlin, D.J., Mikus, C.R., Kearney, M.L., Hinton, P.S., Manrique, C., and Leidy, H.J., et al. 2014. One bout of exercise alters free-living postprandial glycemia in type 2 diabetes. Med. Sci. Sports Exerc. 46(2): 232–238. doi:10. 1249/MSS.0b013e3182a54d85. PMID:23872939. Ortega, J., Fernandez-Elias, V., Hamouti, N., Pallares, J., and Mora-Rodriguez, R. 2015. Higher insulin-sensitizing response after sprint interval compared to continuous exercise. Int. J. Sports Med. 36: 209–214. doi:10.1055/s-0034-1389942. PMID:25376729. Parker, L., Shaw, C.S., Banting, L., Levinger, I., Hill, K.M., Mcainch, A.J., and Stepto, N.K. 2017. Acute low-volume high-intensity interval exercise and continuous moderate-intensity exercise elicit a similar improvement in 24-h glycemic control in overweight and obese adults. Front. Physiol. 7(January): 1–13. doi:10.3389/fphys.2016.00661. PMID:26858649. Pearce, K.L., Noakes, M., Keogh, J., and Clifton, P.M. 2008. Effect of carbohy- drate distribution