Logo Passei Direto
Buscar
Material
páginas com resultados encontrados.
páginas com resultados encontrados.

Prévia do material em texto

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
	/PDFXTrimBoxToMediaBoxOffset [
		0.0
		0.0
		0.0
		0.0
	]
	/CompatibilityLevel 1.3
	/MonoImageResolution 600
	/NeverEmbed [
		/Arial-Black
		/Arial-BlackItalic
		/Arial-BoldItalicMT
		/Arial-BoldMT
		/Arial-ItalicMT
		/ArialMT
		/ArialNarrow
		/ArialNarrow-Bold
		/ArialNarrow-BoldItalic
		/ArialNarrow-Italic
		/ArialUnicodeMS
		/CenturyGothic
		/CenturyGothic-Bold
		/CenturyGothic-BoldItalic
		/CenturyGothic-Italic
		/CourierNewPS-BoldItalicMT
		/CourierNewPS-BoldMT
		/CourierNewPS-ItalicMT
		/CourierNewPSMT
		/Georgia
		/Georgia-Bold
		/Georgia-BoldItalic
		/Georgia-Italic
		/Impact
		/LucidaConsole
		/Tahoma
		/Tahoma-Bold
		/TimesNewRomanMT-ExtraBold
		/TimesNewRomanPS-BoldItalicMT
		/TimesNewRomanPS-BoldMT
		/TimesNewRomanPS-ItalicMT
		/TimesNewRomanPSMT
		/Trebuchet-BoldItalic
		/TrebuchetMS
		/TrebuchetMS-Bold
		/TrebuchetMS-Italic
		/Verdana
		/Verdana-Bold
		/Verdana-BoldItalic
		/Verdana-Italic
	]
	/CannotEmbedFontPolicy /Warning
	/AutoPositionEPSFiles true
	/PreserveOPIComments false
	/JPEG2000GrayACSImageDict >
	/PDFXOutputIntentProfile ()
	/JPEG2000ColorACSImageDict >
	/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

Mais conteúdos dessa disciplina