ArticlePDF Available

The impact of brief high-intensity exercise on blood glucose levels

Taylor & Francis
Diabetes, Metabolic Syndrome and Obesity
Authors:

Abstract and Figures

Background Moderate-intensity exercise improves blood glucose (BG), but most people fail to achieve the required exercise volume. High-intensity exercise (HIE) protocols vary. Maximal cycle ergometer sprint interval training typically requires only 2.5 minutes of HIE and a total training time commitment (including rest and warm up) of 25 minutes per session. The effect of brief high-intensity exercise on blood glucose levels of people with and without diabetes is reviewed. Methods HIE (≥80% maximal oxygen uptake, VO2max) studies with ≤15 minutes HIE per session were reviewed. Results Six studies of nondiabetics (51 males, 14 females) requiring 7.5 to 20 minutes/week of HIE are reviewed. Two weeks of sprint interval training increased insulin sensitivity up to 3 days postintervention. Twelve weeks near maximal interval running (total exercise time 40 minutes/week) improved BG to a similar extent as running at 65% VO2max for 150 minutes/week. Eight studies of diabetics (41 type 1 and 22 type 2 subjects) were reviewed. Six were of a single exercise session with 44 seconds to 13 minutes of HIE, and the others were 2 and 7 weeks duration with 20 and 2 minutes/week HIE, respectively. With type 1 and 2 diabetes, BG was generally higher during and up to 2 hours after HIE compared to controls. With type 1 diabetics, BG decreased from midnight to 6 AM following HIE the previous morning. With type 2 diabetes, a single session improved postprandial BG for 24 hours, while a 2-week program reduced the average BG by 13% at 48 to 72 hours after exercise and also increased GLUT4 by 369%. Conclusion Very brief HIE improves BG 1 to 3 days postexercise in both diabetics and non-diabetics. HIE is unlikely to cause hypoglycemia during and immediately after exercise. Larger and longer randomized studies are needed to determine the safety, acceptability, long-term efficacy, and optimal exercise intensity and duration.
Content may be subject to copyright.
© 2013 Adams, publisher and licensee Dove Medical Press Ltd. This is an Open Access article
which permits unrestricted noncommercial use, provided the original work is properly cited.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6 113–122
Diabetes, Metabolic Syndrome and Obesity: Targets and erapy
The impact of brief high-intensity exercise
on blood glucose levels
O Peter Adams
Faculty of Medical Sciences,
the University of the West Indies,
Cave Hill Campus, St Michael,
Barbados
Correspondence: O Peter Adams
Faculty of Medical Sciences, the
University of the West Indies,
Cave Hill Campus, St Michael, Barbados
Tel +24 641 741 18
Fax +24 642 967 38
Email peter.adams@cavehill.uwi.edu
Background: Moderate-intensity exercise improves blood glucose (BG), but most people fail
to achieve the required exercise volume. High-intensity exercise (HIE) protocols vary. Maximal
cycle ergometer sprint interval training typically requires only 2.5 minutes of HIE and a total
training time commitment (including rest and warm up) of 25 minutes per session. The effect
of brief high-intensity exercise on blood glucose levels of people with and without diabetes is
reviewed.
Methods: HIE ($80% maximal oxygen uptake, VO2max) studies with #15 minutes HIE per
session were reviewed.
Results: Six studies of nondiabetics (51 males, 14 females) requiring 7.5 to 20 minutes/week
of HIE are reviewed. Two weeks of sprint interval training increased insulin sensitivity up
to 3 days postintervention. Twelve weeks near maximal interval running (total exercise time
40 minutes/week) improved BG to a similar extent as running at 65% VO2max for 150 minutes/
week. Eight studies of diabetics (41 type 1 and 22 type 2 subjects) were reviewed. Six were
of a single exercise session with 44 seconds to 13 minutes of HIE, and the others were 2 and
7 weeks duration with 20 and 2 minutes/week HIE, respectively. With type 1 and 2 diabetes,
BG was generally higher during and up to 2 hours after HIE compared to controls. With type
1 diabetics, BG decreased from midnight to 6 AM following HIE the previous morning. With
type 2 diabetes, a single session improved postprandial BG for 24 hours, while a 2-week
program reduced the average BG by 13% at 48 to 72 hours after exercise and also increased
GLUT4 by 369%.
Conclusion: Very brief HIE improves BG 1 to 3 days postexercise in both diabetics and non-
diabetics. HIE is unlikely to cause hypoglycemia during and immediately after exercise. Larger
and longer randomized studies are needed to determine the safety, acceptability, long-term
efficacy, and optimal exercise intensity and duration.
Keywords: high-intensity interval training, sprint interval training, diabetes, glucose
The impact of brief high-intensity exercise
on blood glucose levels
Type 2 diabetes is a worldwide epidemic associated with obesity and a sedentary
lifestyle.1 The estimated lifetime risk of developing diabetes for a person born in the
United States in 2000 is 32.8% for males and 38.5% for females.2 Diabetes increases
morbidity and mortality due to heart disease, stroke, blindness, kidney failure, foot
problems, and periodontal disease,3 and has a significant impact on quality of life.4
In 2010 it accounted for US$376 billion or 12% of the global health expenditure. This
is approximately US$1330 per person per year.5
Dovepress
submit your manuscript | www.dovepress.com
Dovepress 113
REVIEW
open access to scientific and medical research
Open Access Full Text Article
http://dx.doi.org/10.2147/DMSO.S29222
Video abstract
Point your SmartPhone at the code above. If you have a
QR code reader the video abstract will appear. Or use:
http://dvpr.es/W3YHvC
Number of times this article has been viewed
This article was published in the following Dove Press journal:
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
26 February 2013
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
Treatment goals for patients with diabetes include achiev-
ing and maintaining optimal blood glucose, blood pressure,
and lipid levels in order to prevent or delay the progression
of chronic complications.6 Exercise, along with diet and
weight control, is considered essential for the prevention and
management of diabetes. Epidemiological studies suggest
that physical activity can reduce the risk of type 2 diabetes
by 30% to 50% in the general population.7 Exercise helps
treat the glucose, blood pressure, and lipid abnormalities
often found in people with diabetes, and assists with weight
loss maintenance.8 In the United States, only 39% of adults
with diabetes are active compared to 58% of those without
the condition.9
VO2max, the maximum amount of oxygen in milliliters that
can be used in one minute per Kg of body weight, is a mea-
surement of cardiovascular fitness. It correlates with insulin
sensitivity in people at risk of developing type 2 diabetes.10
Moderate aerobic exercise requires 40% to 60% of VO2max or
50% to 70% of the maximum heart rate. Aerobic exercise is
considered vigorous when it requires . 60% VO2max or .70%
of the maximum heart rate.11 For many persons with diabetes,
moderate aerobic exercise would be the equivalent of brisk
walking.
Endurance aerobic exercise is usually performed continu-
ously over a prolonged period of time at submaximal intensity.
Most recommendations are for 150 to 210 minutes per week
of moderate-intensity endurance aerobic exercise, plus some
resistance exercise, spread over three to five sessions.8,12–14
This time commitment is in addition to all of the other self-
care activities recommended for people with diabetes, and a
lack of time is often cited as a reason for not exercising.15 A
cardiac evaluation may be required especially when vigorous
physical activity is being contemplated and in the presence of
additional risk factors for coronary artery disease.16
Effect of aerobic and resistance
exercise training on glycemic control
Meta-analyses on the effects of exercise have estimated that
for people with type 2 diabetes, both aerobic and resistance
exercise improve glycemic control to an extent comparable to
some oral antidiabetic drugs.17–23 Exercise should theoretically
be an attractive option for people who prefer not to use drugs,
or wish to obtain additional blood glucose control benefits.
There is some evidence that both exercise duration
and intensity affect HbA1c levels. A meta-analysis of ran-
domized controlled trials of at least 12 weeks in duration
concluded that structured exercise training of more than
150 minutes of exercise per week resulted in greater HbA1c
reductions (0.89%), than those with less weekly exercise
time (0.36%).18 Another meta-analysis of aerobic exercise
studies concluded that not only did higher exercise intensity
tend to produce larger improvements in VO2max, but that exer-
cise intensity predicted postintervention HbA1c (r = 0.91,
P = 0.002) better than exercise volume (r = 0.46, P = 0.26).
Workouts were, on average, 49 minutes (including 10 to
15 minutes of warm-up and cool-down), with a mean of
3.4 sessions per week for 20 weeks.24 However, only one study
included in the meta-analysis approached high-intensity at
75% of VO2max.25 In another meta-analysis for studies involv-
ing aerobic, resistance, and combined training, the overall
reduction in HbA1c was 0.8% (90% CI ±0.3) with the effect
of exercise intensity being unclear.20
Glucose metabolism during
moderate-intensity exercise
Skeletal muscle is responsible for most of the uptake of glucose
after a meal, and transport of glucose into the muscle is consid-
ered the limiting step in glucose disposal.26,27 Glucose transport
occurs primarily by diffusion utilizing glucose transporter
carrier proteins (GLUT). Both exercise and insulin regulate
glucose transport mainly by the translocation of the GLUT4
isoform from an intracellular compartment to the plasma mem-
brane and transverse tubules.8,28 GLUT4 levels are considered
an important determinant of insulin sensitivity.26,27
At rest and postprandially, glucose uptake is insulin-
dependent, with the major purpose being the replenishment
of muscle glycogen stores.8 Insulin-stimulated GLUT4 trans-
location is generally impaired in type 2 diabetes.28 During
exercise, muscle utilizes glucose made available by intramus-
cular glycogenolysis and by increased glucose uptake. Both
aerobic and resistance exercises increase GLUT4 abundance
and translocation, and hence blood glucose uptake by a path-
way that is not dependent on insulin.8 Glucose uptake into
contracting muscle is therefore normal even in the presence
of type 2 diabetes.8,28,29 Following exercise, glucose uptake
remains elevated, with the contraction-mediated pathway
remaining active for several hours.8
During moderate-intensity exercise (60% VO2max) of short
duration in persons without diabetes, increased glucose uptake
by muscle is balanced by an equal rise in hepatic glucose
production, and blood glucose levels remain unchanged.8,30
There is a decrease in insulin level, which sensitizes the
liver to glucagon, thus increasing glucose production.30
Catecholamines play a role in increasing glucose production
only during moderate-intensity exercise greater than 2 hours
duration. With type 2 diabetes, blood glucose uptake by
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
114
Adams
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
muscles usually increases more than hepatic production.31
This is also normally accompanied by a decline in plasma
insulin levels, greatly reducing the risk of hypoglycemia in
diabetics not using insulin or insulin secretagogues.8 The
effects of aerobic exercise vary with duration and intensity,
but following a single exercise session there is generally an
increase in insulin action and hence glucose tolerance for
between 24 and 72 hours.8
High-intensity exercise
High-intensity interval training (HIT) consists of brief bursts
of very vigorous exercise separated by brief recovery periods.
Total exercise time is short. While there is no universal
definition of HIT, it often refers to exercise performed with
an “all out” effort, or at least to an intensity that approaches
VO2max ($90% VO2max).32
The classic form of “all out” HIT is the Wingate test.
After about 3 to 5 minutes of warm-up the subject cycles
for 30 seconds at maximum effort against a standardized
resistance. Typically four to six Wingate tests are performed
separated by 4 minutes of rest, for a total of 2 to 3 minutes
of maximal exercise spread over 15 to 30 minutes.33 This “all
out” cycle ergometer form of HIT is also referred to as sprint
interval training (SIT). When used in this paper, SIT will refer
only to Wingate tests as just described. Because of the intensity
and short duration of the Wingate test, most of the power
generated represents anaerobic as opposed to aerobic power,
with an aerobic power contribution of between 16% and
19.5%.34–36 The primary energy source is glucose derived from
muscle glycogen, and as aerobic capacity is exceeded, most of
this is converted to lactate to provide anaerobic ATP. The initial
30-second Wingate test can use almost a quarter of the stored
muscle glycogen, and although the rate of glycogenolysis is
reduced in subsequent bouts, significant amounts of lactate
accumulate.37,38 The exercise is extremely stressful with the
perceived exertion being very high. Reports of nausea and
light-headedness are not uncommon.39 It requires a high
level of motivation, and often sessions are supervised, with
significant verbal encouragement to exert maximal effort.40
The average person with diabetes is not likely to tolerate this
well. Specialized costly equipment, usually a cycle ergometer,
is also required. While time spent exercising intensely is very
short, training time commitment is longer as it will include
warm-up, cool-down, and rest periods.
Other forms of HIT may not require “all out” effort and
may be performed at only half the intensity of an “all out”
SIT protocol but with longer sessions, more repetitions,
and shorter rest periods, and are tolerated much better.41,42
High-intensity exercise may also be performed on a continu-
ous basis, but even very fit persons can usually maintain an
intensity of $80% VO2max for only 10 to 15 minutes.30 The
exercise load needed depends on the individual’s exercise
capacity. For people with a low VO2max of 20 mL/Kg per
minute, the necessary exercise load may be equivalent to
walking up a slight grade at 3 mph.42
Glucose metabolism during
high-intensity exercise
In intense exercise (.80% VO2max), unlike at lesser intensi-
ties, glucose is the exclusive muscle fuel.30 Catecholamine
levels rise markedly, causing glucose production to rise
seven- to eightfold while glucose utilization is only increased
three- to fourfold. In people without diabetes there is a small
blood glucose increase during intense exercise that increases
further immediately at exhaustion and persists for up to
1 hour. Plasma insulin levels rise, correcting the glucose level
and restoring muscle glycogen. This physiological response
would be absent in type 1 diabetics.
Aerobic endurance and high-intensity
exercise
HIT is effective in improving aerobic endurance. In one
study six “all out” SIT sessions over 2 weeks improved
the mean cycle endurance time to fatigue while cycling at
approximately 80% of pretraining VO2max by 100% (from 26
to 51 minutes).43 This required a total high-intensity exercise
time of only 15 minutes with a total training time commit-
ment of approximately 2.5 hours. In another study, a less
intense version of HIT (6–10 cycling bouts of 30 seconds
each at 125% of the power at VO2max with 2 minutes recovery)
produced a similar improvement in VO2max after 4 weeks of
training, as was seen in the more intense SIT group (three
to five “all out” 30-second cycling bouts with 4 minutes
of recovery).41 The less intense HIT required only half the
intensity but double the repetitions of the SIT, and may be
more practical for the nonathlete.
Many people do not exercise despite the proven benefit
of endurance exercise. An exercise program requiring less
time commitment may appeal to some people. The aim of
this paper is to review the impact of high-intensity exercise
of short duration on blood glucose levels in diabetic and
nondiabetic people.
Methods
A narrative review was done. PubMed was searched in
July 2012 using the following search terms: high-intensity
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
115
Brief high-intensity exercise and blood glucose
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
interval training, sprint interval training, and high-intensity
exercise each combined with glucose and/or diabetes. To
be included: (1) exercise intensity had to be at least 80%
VO2max or 90% maximum heart rate, or include maximal
cycle ergometer sprints; (2) the duration was no more than
15 minutes of high-intensity exercise and 30 minutes of
total exercise time per session; and (3) glycemic control was
assessed. Review articles and references retrieved were hand
searched for additional primary studies.
Results
High-intensity interval training and insulin
sensitivity in healthy nondiabetic adults
Six studies with a total of 51 male and 14 female partici-
pants in the high-intensity exercise groups are reviewed.
Four of these used SIT (maximal effort cycle ergometer)
exercise protocols of 2 to 6 weeks duration,39,44–46 and two
used near maximal running as the intervention (Table 1).47,48
Although near maximal running would not be as intense as
the cycle ergometer, it was not surprising that in the study
with the heavier subjects,47 overuse shin splint injuries
caused three out of eight participants in the intense run-
ning group to miss between one and four training sessions.
Three studies divided participants into an intervention and
comparison group,39,47,48 with two stating that allocation
was random.39,48
Both Richards et al39 and Babraj et al44 studied young
healthy subjects who were sedentary or recreationally active
and found that 2 to 3 days after a 2-week exercise program
consisting of six sessions of SIT, insulin sensitivity but not
fasting blood glucose improved compared to baseline. Whyte
et al46 studied overweight and obese sedentary men, and
after a similar SIT protocol found no improvement in fasting
blood glucose; moreover, insulin sensitivity was improved
compared to baseline at 24 but not 72 hours. Richards et al39
randomized subjects to one of three groups: (1) six sessions of
SIT; (2) a single session of SIT; and (3) no exercise. Insulin
sensitivity was estimated before and 72 hours after the inter-
vention by means of a hyperinsulinemic euglycemic clamp,
considered the gold standard test. It increased in the group
that did six sessions of SIT (mean change of glucose infusion
rate: +1.7 ± 0.6 mg/kg per minute, P = 0.04) but not in the
single session SIT and no exercise groups. The intervention
had no effect on the thermogenic response to beta-adrenergic
receptor stimulation, which is considered an important
determinant of energy expenditure and by extension a major
regulator of energy balance and body mass. Babraj et al44
estimated insulin sensitivity before and 48 to 72 hours after
the intervention by means of oral glucose tolerance tests and
the Cederholm index. While FBG and fasting insulin levels
were unchanged, both glucose area under the curve (AUC;
12%), and insulin AUC (37%), were significantly reduced
during the oral glucose tolerance tests. In addition, aerobic
cycling performance was improved by about 6% (P , 0.01)
compared to baseline. Endurance aerobic and strength
training studies of up to 16 months duration have generally
demonstrated only a reduction in insulin AUC in response
to a glucose load following training, without a concurrent
reduction in glucose AUC.44
Burgomaster et al45 demonstrated that SIT increased
muscle GLUT4 content, a determinant of insulin sensitivity,
by 20% compared to baseline after 1 week of exercise, and
that the levels remained elevated over the remaining 5 weeks
of training and a subsequent 6 weeks of detraining. Muscle
oxidative capacity, as estimated by the protein content of
cytochrome c oxidase subunit 4 (COX4) also increased by
35% after 1 week of HIT, and remained higher compared
with baseline after 6 weeks of detraining (P , 0.05).
Nybo et al47 found that 20 minutes of near maximal run-
ning (40 minutes of total exercise time) per week for 12 weeks
was as effective as 150 minutes of running at 65% VO2max
per week over the same period, in improving both fasting
blood glucose and blood glucose 2 hours after the ingestion
of 75 g of glucose. For the latter, blood glucose was improved
from a mean of 6.1 (standard error (SE) ± 0.6) mmol/L to 5.1
(SE ± 0.4) mmol/L (P , 0.05) in the maximal running group
and from 5.6 (SE ± 1.5) mmol/L to 4.9 (SE ± 1.1) mmol/L
(P , 0.05) in the prolonged running group. Sandvei et al48 had
similar findings, with only 7.5 to 15 minutes of near maximal
running per week, but a longer total exercise time when warm-
up and rest periods were included.
These studies therefore demonstrate that in young nondia-
betic adults, as little as 15 minutes of high-intensity exercise
spread over 2 weeks is enough to improve insulin sensitivity
without a change of body weight. Energy expended would be
equivalent to about 500 Kcal. In contrast, a typical aerobic
training program consumes 2000 to 3000 kcal/week with
guidelines recommending 150 minutes of training per week.
It was postulated that despite the negligible energy expen-
diture, HIT improved insulin action by depleting muscle
glycogen stores.44
High-intensity training and glucose
regulation in people with diabetes
There has been little testing of brief high-intensity exercise
in either type 1 or type 2 diabetic patients. Eight studies were
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
116
Adams
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
Table 1 Characteristics of reviewed high-intensity exercise studies on healthy people without diabetes, and effects on insulin sensitivity and blood glucose
Study Gender Intervention group
Age (years)
BMI (Kg/m2)
Weight (Kg)
Mean ± SD
Number in
intervention
group
Intervention Study duration Number in
comparison
group
Effect on measure
of blood glucose
Richards
et al39
5 male
7 female (sedentary
or recreationally
active)
Age: 29 ± 3
BMI: 26.2 ± 1.3
Weight: 76 ± 6
12 SIT (4 to 7 × 30 sec maximal
cycle ergometer efforts
separated by 4 minutes of rest).
Six SIT sessions over
2 weeks. Eight minutes
of high-intensity
exercise/week.
Single SIT control: 9
Sedentary control: 10
Six SIT sessions increased insulin
sensitivity signicantly 3 days after
the last session compared to
baseline, and comparison groups.
No effect on FBG.
Babraj
et al44
Male (sedentary or
recreationally active)
Age: 21 ± 2
BMI: 23.7 ± 3.1
Weight: 82 ± 17
16 SIT (4 to 6 × 30 seconds
of maximal cycle ergometer
efforts separated by
4 minutes of rest). Total time
commitment of 17 to
26 minutes per session.
Six SIT sessions
over 2 weeks.
Average of 7.5 minutes
of high-intensity
exercise/week.
Compared to baseline 2 to 3 days after the last session,
insulin sensitivity improved 23%
(P , 0.01), and plasma glucose
area under the curve decreased
(P , 0.01) compared to baseline.
No effect on FBG.
Burgomaster
et al45
Male (active) Age: 22 ± 1
Weight: 80 ± 4
8SIT (4 to 6 × 30 seconds
maximal cycle ergometer
efforts separated by
4 minutes of rest).
Three sessions per
week for 6 weeks.
An average of
7.5 minutes of high-
intensity exercise
per week.
Compared to baseline Muscle GLUT4 increased 20%
after 1 week of SIT and remained
elevated 6 weeks postexercise.
Whyte
et al46
Male
Sedentary
Age: 32 ± 9
BMI: 31 ± 4
Weight: 94 ± 13
10 SIT (4 to 6 × 30 seconds
of maximal cycle ergometer
efforts separated by
4.5 minutes of rest).
Six sessions over
2 weeks.
Compared to baseline No change in FBG and glucose
area under the curve at 24 and
72 hours after exercise, but
insulin sensitivity index higher
at 24 hours (P = 0.027).
Nybo
et al47
Male
Sedentary
Age: 37 ± 3
Weight: 96 ± 3
8 5-minute warm-up, then
5 × 2-minute intervals
of running with heart rate 95%
of maximum at the end of the
interval (total exercise
time 40 minutes/week).
Two sessions per week
for 12 weeks.
Twenty minutes
of high-intensity
exercise/week.
9, performed 1-hour
continuous running
at 65% VO2max (about
150 minutes/week)
11, no exercise
Similar lowering of FBG and
blood glucose 2 hours after
a 75 g glucose tolerance test,
done 48 hours after the last
exercise session.
Sandvei
et al48
4 males
7 females
Sedentary to
moderately trained
Age: 18 to 35
BMI: 23 ± 1
Weight: 70 ± 3.5
11 10-minute warm-up, then
5 to 10 × 30 seconds near
maximal sprints with
3-minute rest periods.
Three sessions/week
for 8 weeks.
12 performed
continuous running
at 70% to 80% maximal
heart rate for 90 to 180
minutes/week
High-intensity running, but not
continuous running, improved
insulin sensitivity 60 hours after last
exercise session. FBG signicantly
improved in both groups.
Abbreviations: BMI, body mass index; SD, standard deviation; SIT, sprint interval training; FBG, fasting blood glucose; GLUT4, glucose transporter protein 4; VO2max, maximal oxygen uptake.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
117
Brief high-intensity exercise and blood glucose
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
identified with only three of these involving type 2 diabetics.
In addition to maximal cycle ergometer SIT, HIT protocols
included a less intense form of HIT not requiring “all out”
effort, and protocols requiring very short bursts of exercise
(as little as 4 seconds) interspersing up to 30 minutes of mod-
erate exercise. Noninterval high-intensity exercise protocols
included continuous exercise at 80% to 110% VO2max for up to
13 minutes. Six studies measured the effects of single exercise
sessions, and the other two studies were of 2 and 7 weeks
duration. All involved small numbers of subjects (up to eight
different subjects in an intervention group), and except for
three studies the mean age was ,35 years (Table 2).
Effects of high-intensity exercise on blood
glucose in type 2 diabetic patients
A single session of continuous high-intensity exercise
resulted in 60 minutes of postexercise hyperglycemia,49
while both a single session of HIT,50 and a 2-week training
program51 have been shown to improve postprandial glucose
control over a 24-hour period following exercise.
Little et al51 evaluated the effects of six sessions of HIT
over 2 weeks on glucose regulation 48 to 72 hours after the
last training session in people with type 2 diabetes. Most par-
ticipants engaged in 60 minutes or less of exercise per week
prior to entering the study. The HIT protocol required only
30 minutes of high-intensity exercise per week, with a total
time commitment (including warm-up, cool-down, and rest)
of 75 minutes. The exercise intensity was less and may be
more acceptable than “all out” SIT protocols. When asked how
enjoyable would engaging in HIT three times per week for the
next 4 weeks be, the mean response was 7.9 ± 1.0 on a scale
ranging from 1 (not enjoyable at all) to 9 (very enjoyable).
Additionally, it elicited ratings of perceived exertion of 4 to 8
on a 10-point scale. Before training and from 48 to 72 hours
after the last training session, glucose regulation was assessed
using 24-hour continuous glucose monitoring under standard-
ized dietary conditions. The average 24-hour blood glucose
concentration was reduced by 13%, from 7.6 mmol/L (SD ± 1)
to 6.6 mmol/L (SD ± 0.7) after training (P , 0.05). The sum
of the 3-hour postprandial glucose AUC for breakfast, lunch,
and dinner was reduced by 30% (P , 0.05). GLUT4 protein
content was 369% higher after 2 weeks of training.
Gillen et al,50 studying 7 of the 8 individuals who
participated in the study by Little et al,51 and using an identical
exercise protocol, demonstrated that a single exercise session
also reduced the sum of the 3-hour postprandial glucose AUC
(P = 0.01) and the proportion of time spent above 10 mmol/L
in the 24-hour postexercise period when compared to a
nonexercising control day. Average 24-hour blood glucose
was, however, not significantly reduced (P = 0.16). The
results of the two studies might be clinically significant, as
controlling postprandial hyperglycemia is a treatment goal
with type 2 diabetics.
Kjaer et al49 investigated the effect of 5 minutes of high-
intensity exercise on blood glucose control during and for
3 hours immediately following exercise in type 2 diabetic
patients (two on a sulfonylurea and five on diet only). There
was a greater and more sustained rise in glucose levels in
type 2 diabetics compared to controls. In type 2 diabetic
subjects, blood glucose increased from a pre-exercise level
of 147 mg/dL (SD ± 21) to a peak 30 minutes postexercise
at 169 mg/dL (SD ± 19). This value was maintained until
60 minutes postexercise, and then plasma levels decreased
over the remainder of the 180-minute recovery period. For the
controls, blood glucose increased from a pre-exercise level
of 90 mg/dL (SD ± 4) to a peak at 10 minutes postexercise at
100 mg/dL (SD ± 5). Glucose concentrations at 60 minutes
postexercise did not differ significantly from pre-exercise
levels. In both groups, plasma insulin levels increased after
exercise above pre-exercise levels, and returned to baseline
about 120 minutes postexercise. Plasma epinephrine and
glucagon responses to exercise were higher in type 2 diabetics
than in control subjects (P , 0.05). However, 24 hours after
exercise in the type 2 diabetic group and not the controls,
there was an increased effect of insulin on glucose uptake
compared to the pre-exercise state as estimated by the insulin
clamp technique. Other studies have found similar increases
in insulin-mediated glucose disposal after short-term high-
intensity exercise in insulin-resistant subjects.52,53 It was
concluded that because of exaggerated counter-regulatory
hormonal responses, maximal dynamic exercise results in a
60-minute period of postexercise hyperglycemia and hyper-
insulinemia in type 2 diabetics.49
Effects of high-intensity exercise on blood
glucose in type 1 diabetic patients
The high-intensity studies involving type 1 diabetics mainly
investigated blood glucose control during and in the 2 hours
after exercise.
Harmer et al54 studied the effects of 7 weeks of SIT. The
number of cycle bouts per training session was increased from
four in week 1, to six in week 2, eight in week 3, and ten in weeks
4–7. SIT resulted in a greater rise in plasma glucose during and
immediately after exercise (a 20-minute period) in diabetics
compared to nondiabetic controls. This increase was significantly
attenuated by 7 weeks of training. HbA1c was not altered.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
118
Adams
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
Table 2 Characteristics of the reviewed high-intensity exercise studies on people with diabetes, and changes in BG control
Study Type of
diabetes
Number in
HIE group
Gender
Activity status
Intervention group
Age (years)
BMI (Kg/m2)
HbA1c (%)
Mean ± SD
Intervention Study duration Number in
comparison
group
Effect on measure of BG
Little
et al51
Type 2 Number: 8
Gender: not stated
Activity: most
sedentary
Age: 63 ± 8
BMI: 32 ± 6
HbA1c: 6.9% ± 0.7%
Ten 60-second efforts at
90% maximal HR on a cycle
ergometer interspersed with
60 seconds of rest (allowed
to rest or pedal slowly)
Three 25-minute
sessions per week for
2 weeks. Each session
included 3 minutes
of warm-up and
2 minutes of cool-down.
Compared
to baseline
Average 24-hour BG reduced 13%
(P , 0.05), and sum of the 3-hour
postprandial glucose AUC reduced 30%
(P = 0.05) 2 to 3 days after HIT compared
to preintervention.
Gillen
et al50
Type 2 Number: 7
Gender: not stated
Activity: most
sedentary
Age: 62 ± 3
BMI: 31 ± 2
HbA1c: 6.9% ± 0.7%
Ten 60-second efforts at
90% maximal HR on a cycle
ergometer interspersed with
60 seconds of rest (allowed
to rest or pedal slowly)
Single 25-minute session
including 3 minutes of
warm-up and 2 minutes
of cool-down.
7 (same individuals
as intervention
group) not
exercising
Average 24-hour BG not signicantly
reduced (P = 0.16), but sum of the 3-hour
postprandial glucose AUC reduced for24
hours following HIT (P = 0.01) compared
to no exercise.
Kjaer
et al49
Type 2 Number: 7
Gender: male
Activity: sedentary
Age: 55 ± 4
BMI: 27 ± 2
Cycling 7 minutes at 60%
VO2max, 3 minutes at 100%
VO2max, and 2 minutes
at 110% VO2max
Single 12-minute
exercise session
with 5 minutes of HIE.
7 nondiabetic BG increased more during exercise in the
diabetic group, and peaked 30 minutes
postexercise.
Harmer
et al54
Type 1 Number: 8
Gender: not stated
Age: 25 ± 4
BMI: 25 ± 3
HbA1c: 8.6% ± 0.8%
Four to eight 30-second
maximal cycle ergometer
exercise separated by
4 minutes of rest
Thrice weekly sessions
for 7 weeks.
7 nondiabetic BG increased more during and 20 minutes
postexercise in the diabetic as compared
to nondiabetic group. The increase was less
after 7 weeks of training. HbA1c not altered.
Guel
et al55
Type 1 Number: 8
Gender: not stated
Age: 19 ± 2
BMI: 22 ± 2
HbA1c: 7% ± 0.4%
Eleven 4-second maximal cycle
ergometer sprints separated
by 2 minutes of rest
Single 20-minute
exercise session.
8 (same individuals
as in the intervention
group) not exercising
BG declined more rapidly during exercise
in the HIT group, but remained stable in
the 1-hour postexercise period.
Guel
et al56
Type 1 Number: 7
Gender: 4 males,
3 females
Age: 22 ± 4
BMI: 25 ± 4
HbA1c: 7.4% ± 1.5%
Cycling at 40% VO2max
interspersed by sixteen
4-second maximal cycle
ergometer sprints
Single 30-minute
exercise session.
7 (same individuals
as the intervention
group) cycling at
40% VO2max
BG fell less in the HIT group, and did not
continue to decline postexercise unlike
with controls.
Maran
et al57
Type1 Number: 8
Gender: male
Activity: active
Age: 34 ± 7
BMI: 24 ± 2
HbA1c: 7.1% ± 0.6%
Cycling at 40% VO2max
interspersed by 5 seconds
of maximal sprints every
2 minutes
Single 30-minute
session.
8 (same individuals
as in the intervention
group) cycling
at 40% VO2max
Between 12 AM and 6 AM, postexercise
BG lower in the HIT group compared
to the comparison group (BG AUC
147 versus 225 mg/dL, P , 0.05).
Mitchell
et al58
Type 1 Number: 10
(8 different subjects
with 2 studied twice at
different pre-exercise
BG levels) Gender:
5 males, 5 females
Age: 29 Cycle ergometer at 80%
VO2max until exhausted
Single 10 to 13-minute
exercise session.
8 nondiabetic BG increased more in the diabetic group
and remained high 2 hours postexercise
unlike normal controls.
Abbreviations: BMI, body mass index; HbA1c, glycosylated hemoglobin; SD, standard deviation; HR, heart rate; BG, blood glucose; AUC, area under the curve; HIT, high-intensity training.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
119
Brief high-intensity exercise and blood glucose
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
All the other studies involved a single exercise session.
Guelfi et al55 studied the effects of HIT (repeated 4-second
cycle ergometer efforts separated by rest) on blood glucose
during exercise and in the immediate 1-hour postexercise
period. Participants injected their normal dose of insulin and
had breakfast. After the postprandial peak in blood glucose, on
alternate days, participants either exercised or rested. During
exercise blood glucose declined more rapidly as compared
to the nonexercising controls, indicating that high intensity
exercise may increase the risk of hypoglcemia. This finding is
not supported by the other studies reviewed. However during
the recovery period blood glucose levels continued to decline
in the controls while remaining stable in the exercise group
suggesting a decreased risk of postexercise hypoglycemia.
Guelfi et al56 also compared a HIT protocol that was com-
bined with moderate-intensity exercise (repeated 4-second
cycle ergometer efforts over 30 minutes separated by cycling
at 40% VO2max) to moderate exercise only (cycling at 40%
VO2max) for 30 minutes. Exercise commenced 3.5 hours
postprandially when the blood glucose was about 11 mmol/L.
Blood glucose fell to a greater extent in the moderate exercise
group compared to the HIT group, and remained stable in
the HIT group in the 1-hour recovery period while continu-
ing to fall in the moderate-exercise group. Blood glucose
at 1-hour postexercise was 3.3 mmol/L lower than the pre-
exercise level in the HIT group, and 6.3 mmol/L lower in
the moderate exercise group (P = 0.021). However, Maran
et al,56 using a similar exercise protocol, demonstrated that
following morning HIT, blood glucose was significantly lower
between midnight and 6 AM the next day compared to when
only moderate-intensity exercise was done.57 Mitchell et al58
showed that continuous noninterval exercise at 80% VO2max
until exhaustion (approximately 10 to 13 minutes) increased
blood glucose during and in the 2-hour postexercise period.
Thus, unlike moderate-intensity exercise, HIT is unlikely
to cause hypoglycemia during or immediately postexercise
in type 1 diabetics, but 14 to 20 hours later it may result in
lower glucose levels.
Summary
Clinical practice guidelines typically recommend that people
with type 2 diabetes perform moderate to vigorous aerobic
exercise and resistance exercise three to five times per week
for a total of at least 150 to 210 minutes per week. Many
persons do not achieve the recommended amounts of exercise
with lack of time being cited as a reason.15 Meta-analyses
have shown that non-HIT programs can produce HbA1c
improvements between 0.6% and 0.89%, an amount that is
clinically significant and comparable to some medication
regimens.
Classic SIT protocols can require as little as 2 to
3 minutes of maximal exercise spread over 15 to 30 minutes.
With healthy nondiabetic subjects, 2-week protocols have
resulted in improvements in muscle GLUT4 content, insulin
sensitivity, and FBG. Insulin sensitivity improvement has
been sustained up to 3 days post-intervention. Improvements
in VO2max were similar to that achieved by much longer ses-
sions of endurance aerobic exercise.
In type 2 diabetic patients, a low-volume 2-week HIT
program increased GLUT4 protein, a marker of insulin sen-
sitivity, and decreased average blood glucose 48 to 72 hours
postexercise. The protocol used was less intense than SIT and
was acceptable to study participants. However, unlike with
moderate-intensity exercise, blood glucose levels tend to be
higher in both type 1 and 2 diabetic patients during and in the
2 hours immediately following intense exercise due to rising
catecholamine levels promoting glycogenolysis, and these
levels may remain high in the 2-hour post-exercise period.
HIT depletes muscle glycogen and it is possible that after
catecholamine levels decrease in the post-exercise phase,
a period of increased peripheral uptake of glucose follows
as glycogen stores are replenished.
Conclusion
The optimal exercise strategy has not been determined,
but low volume SIT with as little as 7.5 minutes of high-
intensity exercise per week may be a time-efficient exercise
strategy to help control blood glucose in diabetic patients
and improve insulin sensitivity in nondiabetic adults.
Unlike moderate-intensity exercise, high-intensity exercise
decreases the risk of hypoglycemia during and immediately
after exercise in diabetic patients. Therefore, there may be
no need for well controlled patients on insulin or insulin
secretagogues to eat or decrease medication dosage shortly
before high-intensity exercise. However, the perceived exer-
tion associated with the “all out” version of HIT is very
high and the acceptability, feasibility, and safety for the
sedentary diabetic and nondiabetic population are in doubt.
Both the risks of musculoskeletal injury and cardiovascular
complications have to be considered. The cost of exercis-
ing and the provision of facilities (equipment, supervision,
and gyms) also have to be taken into account if this form
of exercise is to have a mass impact. The less strenuous
version of HIT used by Little et al51 might be preferred to
“all out” SIT as it was well accepted while still being of
short duration.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
120
Adams
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
Studies on the effect of high-intensity exercise on blood
glucose have been few and of short duration, and have
involved a small number of patients who were probably
not representative of the general diabetic population. With
diabetics, it is therefore uncertain if any improvements in
blood glucose achieved by a brief intervention would be
sustained over a longer period, reduce HbA1c levels, improve
health outcomes, and can be replicated in the general dia-
betic population. Similarly, in the nondiabetic population
it is not known whether improvements in insulin sensitiv-
ity would be sustained and result in a clinically important
endpoint such as diabetes prevention. Further studies are
needed to determine whether HIT programs, perhaps in the
less intense form or as an adjunct to moderate-intensity
exercise, would be effective in the long-term and have a
high enough adherence rate to be efficacious. Large scale
randomized trials lasting years may be necessary to show
whether HIT can prevent diabetes, and such trials may be
impractical.
Disclosure
The author reports no conflicts of interest in this work.
References
1. Hu FB. Globalization of diabetes: the role of diet, lifestyle, and genes.
Diabetes Care. 2011;34(6):1249–1257.
2. Narayan KM, Boyle JP, Thompson TJ, Sorensen SW, Williamson DF.
Lifetime risk for diabetes mellitus in the United States. JAMA. 2003;
290(14):1884–1890.
3. National Diabetes Fact Sheet, 2007: General information and National
Estimates on Diabetes in the United States. Ed: US Department of
Health and Human Services Centers for Disease Control and Prevention;
2008. Available from http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2007.
pdf. Accessed October 15, 2012.
4. Rubin RR, Peyrot M. Quality of life and diabetes. Diabetes Metab Res
Rev. 1999;15(3):205–218.
5. Zhang P, Zhang X, Brown J, et al. Global healthcare expenditure on
diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(3):
293–301.
6. American Diabetes Association. Standards of medical care in diabetes,
2012. Diabetes Care. 2012;35 Suppl 1:S11–S63.
7. Bassuk SS, Manson JE. Epidemiological evidence for the role of
physical activity in reducing risk of type 2 diabetes and cardiovascular
disease. J Appl Physiol. 2005;99(3):1193–1204.
8. Colberg SR, Sigal RJ, Fernhall B, et al; for American College of Sports
Medicine, American Diabetes Association. Exercise and type 2 diabetes:
the American College of Sports Medicine and the American Diabetes
Association: joint position statement executive summary. Diabetes
Care. 2010;33(12):2692–2696.
9. Morrato EH, Hill JO, Wyatt HR, Ghushchyan V, Sullivan PW. Physical
activity in US adults with diabetes and at risk for developing diabetes,
2003. Diabetes Care. 2007;30(2):203–209.
10. Leite SA, Monk AM, Upham PA, Bergenstal RM. Low cardiorespira-
tory fitness in people at risk for type 2 diabetes: early marker for insulin
resistance. Diabetol Metab Syndr. 2009;1(1):8.
11. Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C. Physical
activity/exercise and type 2 diabetes. Diabetes Care. 2004;27(10):
2518–2539.
12. Canadian Diabetes Association Clinical Practice Guidelines Expert
Committee. Canadian Diabetes Association 2008 clinical practice
guidelines for the prevention and management of diabetes in Canada.
Canadian Journal of Diabetes. 2008;32(Suppl 1):S1–S201.
13. Hordern MD, Dunstan DW, Prins JB, Baker MK, Singh MA,
Coombes JS. Exercise prescription for patients with type 2 diabetes
and pre-diabetes: a position statement from Exercise and Sport Science
Australia. J Sci Med Sport. 2012;15(1):25–31.
14. Caribbean Health Research Council, Pan American Health Organization.
Managing Diabetes in Primary Care in the Caribbean: Trinidad and
Tobago: Caribbean Health Research Council; 2006.
15. Godin G, Desharnais R, Valois P, Lepage L, Jobin J, Bradet R.
Differences in perceived barriers to exercise between high and low
intenders: observations among different populations. Am J Health
Promot. 1994;8(4):279–285.
16. Nagi D, Gallen I. ABCD position statement on physical activity and
exercise in diabetes. Practical Diabetes International. 2010;27(4):
158–163a.
17. Boulé NG, Haddad E, Kenny GP, Wells GA, Sigal RJ. Effects of exer-
cise on glycemic control and body mass in type 2 diabetes mellitus:
a meta-analysis of controlled clinical trials. JAMA. 2001;286(10):
1218–1227.
18. Umpierre D, Ribeiro PA, Kramer CK, et al. Physical activity advice
only or structured exercise training and association with HbA1c levels
in type 2 diabetes: a systematic review and meta-analysis. JAMA.
2011;305(17):1790–1799.
19. Thomas DE, Elliott EJ, Naughton GA. Exercise for type 2 diabetes
mellitus. Cochrane Database Syst Rev. 2006;3:CD002968.
20. Snowling NJ, Hopkins WG. Effects of different modes of exercise
training on glucose control and risk factors for complications in type
2 diabetic patients: a meta-analysis. Diabetes Care. 2006;29(11):
2518–2527.
21. Phung OJ, Scholle JM, Talwar M, Coleman CI. Effect of noninsulin
antidiabetic drugs added to metformin therapy on glycemic control,
weight gain, and hypoglycemia in type 2 diabetes. JAMA. 2010;303(14):
1410–1418.
22. Nathan DM, Buse JB, Davidson MB, et al; for American Diabetes
Association, European Association for Study of Diabetes. Medical
management of hyperglycemia in type 2 diabetes: a consensus algorithm
for the initiation and adjustment of therapy: a consensus statement of
the American Diabetes Association and the European Association for
the Study of Diabetes. Diabetes Care. 2009;32(1):193–203.
23. Boulé NG, Robert C, Bell GJ, et al. Metformin and exercise in type 2
diabetes: examining treatment modality interactions. Diabetes Care.
2011;34(7):1469–1474.
24. Boulé NG, Kenny GP, Haddad E, Wells GA, Sigal RJ. Meta-analysis
of the effect of structured exercise training on cardiorespiratory fitness
in Type 2 diabetes mellitus. Diabetologia. 2003;46(8):1071–1081.
25. Mourier A, Gautier JF, De Kerviler E, et al. Mobilization of visceral
adipose tissue related to the improvement in insulin sensitivity in
response to physical training in NIDDM. Effects of branched-chain
amino acid supplements. Diabetes Care. 1997;20(3):385–391.
26. Hughes VA, Fiatarone MA, Fielding RA, et al. Exercise increases
muscle GLUT-4 levels and insulin action in subjects with impaired
glucose tolerance. Am J Physiol. 1993;264(6 Pt 1):E855–E862.
27. Houmard JA, Egan PC, Neufer PD, et al. Elevated skeletal muscle
glucose transporter levels in exercise-trained middle-aged men. Am J
Physiol. 1991;261(4 Pt 1):E437–E443.
28. Goodyear LJ, Kahn BB. Exercise, glucose transport, and insulin
sensitivity. Annu Rev Med. 1998;49:235–261.
29. Kennedy JW, Hirshman MF, Gervino EV, et al. Acute exercise
induces GLUT4 translocation in skeletal muscle of normal human
subjects and subjects with type 2 diabetes. Diabetes. 1999;48(5):
1192–1197.
30. Marliss EB, Vranic M. Intense exercise has unique effects on both
insulin release and its roles in glucoregulation: implications for diabetes.
Diabetes. 2002;51 Suppl 1:S271–S283.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
121
Brief high-intensity exercise and blood glucose
Diabetes, Metabolic Syndrome and Obesity: Targets and erapy
Publish your work in this journal
Submit your manuscript here: http://www.dovepress.com/diabetes-metabolic-syndrome-and-obesity-targets-and-therapy-journal
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy is
an international, peer-reviewed open-access journal committed to
the rapid publication of the latest laboratory and clinical findings
in the fields of diabetes, metabolic syndrome and obesity research.
Original research, review, case reports, hypothesis formation, expert
opinion and commentaries are all considered for publication. The
manuscript management system is completely online and includes a
very quick and fair peer-review system, which is all easy to use. Visit
http://www.dovepress.com/testimonials.php to read real quotes from
published authors.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013:6
31. Minuk HL, Vranic M, Marliss EB, Hanna AK, Albisser AM, Zinman B.
Glucoregulatory and metabolic response to exercise in obese noninsulin-
dependent diabetes. Am J Physiol. 1981;240(5):E458–E464.
32. Gibala MJ, McGee SL. Metabolic adaptations to short-term high-
intensity interval training: a little pain for a lot of gain? Exerc Sport Sci
Rev. 2008;36(2):58–63.
33. Gibala MJ, Little JP. Just HIT it! A time-efficient exercise strategy
to improve muscle insulin sensitivity. J Physiol. 2010;588(Pt 18):
3341–3342.
34. Smith JC, Hill DW. Contribution of energy systems during a Wingate
power test. Br J Sports Med. 1991;25(4):196–199.
35. Kavanagh MF, Jacobs I. Breath-by-breath oxygen consumption dur-
ing performance of the Wingate Test. Can J Sport Sci. 1988;13(1):
91–93.
36. Bediz CS, Gökbel H, Kara M, Uçok K, Cikrikçi E, Ergene N.
Comparison of the aerobic contributions to Wingate anaerobic tests per-
formed with two different loads. J Sports Med Phys Fitness. 1998;38(1):
30–34.
37. McCartney N, Spriet LL, Heigenhauser GJ, Kowalchuk JM, Sutton JR,
Jones NL. Muscle power and metabolism in maximal intermittent
exercise. J Appl Physiol. 1986;60(4):1164–1169.
38. Parolin ML, Chesley A, Matsos MP, Spriet LL, Jones NL,
Heigenhauser GJ. Regulation of skeletal muscle glycogen phospho-
rylase and PDH during maximal intermittent exercise. Am J Physiol.
1999;277(5 Pt 1): E890–E900.
39. Richards JC, Johnson TK, Kuzma JN, et al. Short-term sprint interval
training increases insulin sensitivity in healthy adults but does not affect
the thermogenic response to beta-adrenergic stimulation. J Physiol.
2010;588(Pt 15):2961–2972.
40. irg06. Wingate Test. [Video]. 2010; Available from: http://www.
youtube.com/watch?v=TCfgA3SurnM. Accessed October 15, 2012.
41. Bayati M, Farzad B, Gharakhanlou R, Agha-Alinejad H. A practical
model of low-volume high-intensity interval training induces perfor-
mance and metabolic adaptations that resemble ‘all-out’ sprint interval
training. J Sports Sci Med. 2011;10:571–576.
42. Gaesser GA, Angadi SS. High-intensity interval training for health and
fitness: can less be more? J Appl Physiol. 2011;111(6):1540–1541.
43. Burgomaster KA, Hughes SC, Heigenhauser GJ, Bradwell SN,
Gibala MJ. Six sessions of sprint interval training increases muscle
oxidative potential and cycle endurance capacity in humans. J Appl
Physiol. 2005;98(6):1985–1990.
44. Babraj JA, Vollaard NB, Keast C, Guppy FM, Cottrell G, Timmons JA.
Extremely short duration high intensity interval training substantially
improves insulin action in young healthy males. BMC Endocr Disord.
2009;9:3.
45. Burgomaster KA, Cermak NM, Phillips SM, Benton CR, Bonen A,
Gibala MJ. Divergent response of metabolite transport proteins in
human skeletal muscle after sprint interval training and detraining. Am
J Physiol Regul Integr Comp Physiol. 2007;292(5):R1970–R1976.
46. Whyte LJ, Gill JM, Cathcart AJ. Effect of 2 weeks of sprint interval
training on health-related outcomes in sedentary overweight/obese men.
Metabolism. 2010;59(10):1421–1428.
47. Nybo L, Sundstrup E, Jakobsen MD, et al. High-intensity training versus
traditional exercise interventions for promoting health. Med Sci Sports
Exerc. 2010;42(10):1951–1958.
48. Sandvei M, Jeppesen PB, Støen L, et al. Sprint interval running increases
insulin sensitivity in young healthy subjects. Arch Physiol Biochem.
2012;118(3):139–147.
49. Kjaer M, Hollenbeck CB, Frey-Hewitt B, Galbo H, Haskell W,
Reaven GM. Glucoregulation and hormonal responses to maximal
exercise in non-insulin-dependent diabetes. J Appl Physiol. 1990;68(5):
2067–2074.
50. Gillen JB, Little JP, Punthakee Z, Tarnopolsky MA, Riddell MC,
Gibala MJ. Acute high-intensity interval exercise reduces the postpran-
dial glucose response and prevalence of hyperglycaemia in patients with
type 2 diabetes. Diabetes Obes Metab. 2012;14(6):575–577.
51. Little JP, Gillen JB, Percival ME, et al. Low-volume high-intensity
interval training reduces hyperglycemia and increases muscle mito-
chondrial capacity in patients with type 2 diabetes. J Appl Physiol.
2011;111(6):1554–1560.
52. Devlin JT, Hirshman M, Horton ED, Horton ES. Enhanced peripheral
and splanchnic insulin sensitivity in NIDDM men after single bout of
exercise. Diabetes. 1987;36(4):434–439.
53. Devlin JT, Horton ES. Effects of prior high-intensity exercise on
glucose metabolism in normal and insulin-resistant men. Diabetes.
1985;34(10):973–979.
54. Harmer AR, Chisholm DJ, McKenna MJ, et al. High-intensity
training improves plasma glucose and acid-base regulation during
intermittent maximal exercise in type 1 diabetes. Diabetes Care.
2007;30(5):1269–1271.
55. Guelfi KJ, Jones TW, Fournier PA. Intermittent high-intensity exercise
does not increase the risk of early postexercise hypoglycemia in indi-
viduals with type 1 diabetes. Diabetes Care. 2005;28(2):416–418.
56. Guelfi KJ, Jones TW, Fournier PA. The decline in blood glucose
levels is less with intermittent high-intensity compared with mod-
erate exercise in individuals with type 1 diabetes. Diabetes Care.
2005;28(6):1289–1294.
57. Maran A, Pavan P, Bonsembiante B, et al. Continuous glucose moni-
toring reveals delayed nocturnal hypoglycemia after intermittent high-
intensity exercise in nontrained patients with type 1 diabetes. Diabetes
Technol Ther. 2010;12(10):763–768.
58. Mitchell TH, Abraham G, Schiffrin A, Leiter LA, Marliss EB.
Hyperglycemia after intense exercise in IDDM subjects during con-
tinuous subcutaneous insulin infusion. Diabetes Care. 1988;11(4):
311–317.
submit your manuscript | www.dovepress.com
Dovepress
Dovepress
Dovepress
122
Adams
... Exercise triggers a complex interaction between hormonal and cellular mechanisms in the body, essential for regulating blood glucose levels. 21 A key component in this process is the role of skeletal muscles in glucose absorption after eating. Transporting glucose into muscles is a vital step for utilization which is mainly done through glucose transporter type 4 (GLUT4) isoforms. ...
... Transporting glucose into muscles is a vital step for utilization which is mainly done through glucose transporter type 4 (GLUT4) isoforms. 21 Both insulin and exercise are important facilitators for the movement of GLUT4 to the muscle cell membrane, thereby enhancing glucose absorption and improving insulin sensitivity. 21 During aerobic activities, muscle glucose uptake is increased as exercise not only boosts the presence of GLUT4 in the muscles but also promotes its translocation, assisting in the insulin-independent uptake of blood glucose. ...
... 21 Both insulin and exercise are important facilitators for the movement of GLUT4 to the muscle cell membrane, thereby enhancing glucose absorption and improving insulin sensitivity. 21 During aerobic activities, muscle glucose uptake is increased as exercise not only boosts the presence of GLUT4 in the muscles but also promotes its translocation, assisting in the insulin-independent uptake of blood glucose. 5,21 Post-exercise, there is sustained high uptake of glucose, driven by muscle contraction, which can continue for several hours 5 ; the current study observed a decrease in blood glucose levels at 30 and 60 min after exercise (p 0.001). ...
Article
Full-text available
Objective Exercise improves postprandial glycaemia and insulin sensitivity in individuals with prediabetes, but the optimal intensity for this metabolic regulation remains unclear. The current study aims to explore the impact of various exercise intensities on metabolic markers in prediabetic individuals to identify the optimal intensity for improving these indicators. Methods In this crossover study, 25 prediabetic individuals participated in exercise sessions at 50 %, 60 %, 70 %, and 80 % intensities of their predicted maximum heart rate using a treadmill. Each session lasted for 30 min, including a 5-min warm-up and a 5-min cool-down period. Blood samples were collected at four distinct time points: during fasting, immediately before exercise, and 30 and 60 min post-exercise. These samples were analyzed for glucose, insulin, and C-peptide levels. The effects of exercise intensity on these parameters were evaluated using repeated measures ANOVA, with post hoc tests conducted to determine specific differences between the intensities. Results The participants had an average age of 34.88 years, a mean height of 170 cm, and a BMI of 30.34 kg/m². A significant reduction in insulin and glucose levels post-exercise was observed at 70 % intensity (p ≤ 0.001). Despite high fasting blood glucose levels (110–115 mg/dL), significant reductions were noted at 30 and 60 min post-exercise (p ≤ 0.001). Insulin levels approached near baseline at 70 % intensity, from fasting (26.74 ± 20.83) to 60 min post-exercise (28.47 ± 20.79), indicating a positive response at this intensity. C-peptide levels also showed significant changes, with the 70 % intensity exercise bringing them closest to fasting levels by 60 min post-exercise. Conclusion This study highlights the importance of exercise intensities in enhancing metabolic parameters in prediabetic individuals. Specifically, 70 % of the predicted maximum heart rate was beneficial, optimizing insulin sensitivity and potentially reducing the risk of progressing from prediabetes to diabetes.
... Among different exercise modalities, aerobic training (AT) and resistance training (RT) improves glycemic control in people with and without prediabetes and T2D through multiple mechanisms (25). These mechanisms include the use of glucose for energy, leading to decreased blood glucose levels over time due to reduced muscle glycogen caused by exercise. ...
Article
Full-text available
Background: Numerous studies have shown the beneficial effects of exercise on glycemic control in people with prediabetes. However, the most effective exercise modality for improving glycemic control remains unclear. We aimed to assess which exercise training modality is most effective in improving glycemic control in a population with prediabetes. Methods: We conducted searches in Pubmed/MEDLINE, EMBASE, SPORTDiscus, Web of Science, PEDro, BVS, and the Cochrane Library from inception to June 2022. Included studies reported fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and 2-hour postprandial (2hPP) levels and implemented an exercise program lasting at least 12 weeks in adults with prediabetes. We performed a direct meta-analysis using a random-effects model and a network meta-analysis. Cochran's Q statistic and the inconsistency I 2 test were used to assess the heterogenicity between studies. Results: Twenty trials were included, with 15 trials (comprising 775 participants with prediabetes) combined in the meta-analysis, and 13 in the network meta-analysis. The meta-analysis results did not show a statistically significant reduction in fasting plasma glucose (FPG) after aerobic training (AT) intervention compared to a control group (mean (95%CI) difference =-5.18 (-13.48; 3.12) mg/dL, Z=1.22, p=0.22). However, a difference of-7.25 (-13.79;-0.71) mg/dL, p=0.03, in FPG after interval training (IT) intervention was detected compared to a control group. After resistance Frontiers in Endocrinology Ricci-Cabello I and Yañez AM (2023) Effect of physical activity and different exercise modalities on glycemic control in people with prediabetes: a systematic review and meta-analysis of randomized controlled trials. training (RT) intervention, FPG was significantly lower-6.71 (-12.65,-0.77) mg/dL, Z=2.21, p=0.03, and HbA1c by-0.13 (-0.55, 0.29), p=0.54, compared to the control group. The impact of RT compared to no intervention on 2hPP was not statistically significant (p=0.26). The network meta-analysis did not show statistical significance. Most of the studies presented an unclear risk of bias, and a low and very low-quality of evidence. According to the GRADE criteria, the strength of the body of evidence was low. Conclusion: Resistance training and IT had demonstrated benefits on glycemic indices, especially on FPG, in a population with prediabetes. Further studies with larger sample sizes and a more robust methodology that compare different types of exercise modalities, frequencies, and durations, are needed to establish a beneficial exercise intervention. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_ record.php?RecordID=370688, identifier CRD42022370688.
... This implies a deranged post exercise glucose response in such individuals. This observation is probably due the deranged peripheral utilization and the hepatic output balance in these subjects and can be attributed to an earliest manifestation of the exercise endocrine interplay [18,19]. ...
... Treatment goals for individuals with diabetes include lifestyle changes, such as exercise along with diet and weight control. Epidemiological evidence suggests that endurance aerobic exercise over a prolonged period can assist with achieving an optimum glycaemic control (Syeda et al. 2023;Adams 2013). Adopting a holistic disease management programme with the inclusion of exercise prescription may lead to long-term positive impacts on the overall health of the individuals and reduce the cost per patient for comorbidities associated with poor NCD management. ...
Article
Full-text available
The escalating prevalence of non-communicable diseases (NCD) presents a concern in Mauritius. These diseases, caused by many factors, reflect the social, economic and environmental conditions within which people live and work. Type 2 diabetes mellitus, hypertension and obesity are the most prevalent among Mauritian adults. Within the framework of a comprehensive systems approach aiming at addressing the social determinants of health, there is a need for customised strategies for both management and prevention of non-communicable diseases. One such example is exercise referral. Exercise referral schemes (ERS) represent an emerging tool for helping people become more physically active and healthier. Evidence of their effectiveness is equivocal and lacks contextual insight into their value in a Mauritian context. Hence, this study serves to bridge this gap. We report the outcomes of a 20-week ERS. Two hundred sixty consenting adults recruited from Area Health Centres (AHC) and Mediclinic’s around Mauritius were assigned to one of two groups: intervention group (ERS + guidance and support by exercise referral consultant) or control group (exercise ‘advice’ from a general practitioner). Body mass index (BMI), grip strength, waist circumference, fasting blood sugar (FBS), HbA1c, lipid profile and blood pressure were measured at week 0, 10 and 20. This quasi-experimental longitudinal study successfully demonstrated improvements in parameters associated with risk factors for coronary heart disease, particularly among women in the intervention group. Significant reductions in weight, waist circumference, FBS and BMI at week 10 and 20 were noted. A less pronounced decline in parameters was observed in men, except for waist circumference, which reached near significance (p = 0.076). Using female participants as a primary focal point, this study supports the notion of exercise referral as part of a holistic treatment plan to control NCDs. We advocate future ERS initiatives prioritise a patient-centred comprehensive approach in design and implementation to ensure successful outcomes.
... The findings indicated that ADT group undergoing HIIT had a smaller reduction in body weight and a significant decrease in blood glucose compared to the AD group. These results are consistent with previous studies by Rami et al. 6 , Cassidy et al. 30 , and Adams 31 , which demonstrated that HIIT can lead to a decrease in blood glucose in T2DM groups compared to control groups. Regarding histological changes, the study found that cross-sectional area enlargement of cardiomyocytes occurred in the hearts of old rats, indicating pathological hypertrophy, which HIIT managed to control by reduction of pathological hypertrophy and increase of physiological hypertrophy in the aging diabetes training group. ...
Article
Full-text available
T2DM is known to cause disturbances in glucose homeostasis and negative changes in the heart muscle, while aging and diabetes are recognized risk factors for CVD. Given this, our study aims to investigate a method for controlling and managing CVDs induced by T2DM in elderly populations. To achieve this, we categorized 40 rats into 5 groups, including HAD (n = 8), HA (n = 8), AD (n = 8), AHT (n = 8), and ADT (n = 8). The exercise protocol consisted of eight weeks of HIIT (three sessions per week) performed at 90–95% of maximal speed. Following cardiac tissue extraction, we assessed the levels of IGF-1, PI3K, and AKT proteins using Western blot technique, and analyzed the histopathological variations of the heart tissue using H&E, Sudan Black, and Masson’s trichrome tissue staining. The histological findings from our study demonstrated that T2DM had a significant impact on the development of pathological hypertrophy and fibrosis in the heart tissue of elderly individuals. However, HIIT not only effectively controlled pathological hypertrophy and fibrosis, but also induced physiological hypertrophy in the AHT and ADT groups compared to the HA and AD groups. Results from Sudan Black staining indicated that there was an increase in lipid droplet accumulation in the cytoplasm of cardiomyocytes and their nuclei in the HA and AD groups, while the accumulation of lipid droplets decreased significantly in the AHT and ADT groups. In both the AHT group and the ADT group, a single HIIT session led to a reduction in collagen fiber accumulation and fibrotic frameworks. Our research also revealed that diabetes caused a significant elevation in the levels of IGF-1, PI3K, and AKT proteins, but after eight weeks of HIIT, the levels of these proteins decreased significantly in the training groups. Overall, our findings suggest that HIIT may be a suitable non-pharmacological approach for improving histological and physiological changes in elderly individuals with T2DM. However, we recommend further research to examine the impact of HIIT training on both healthy and diseased elderly populations.
... Only sips of water were allowed during the exercise. [7,12,13] Subjects' HR and BP were measured at rest, through the bicycle exercise. It was recorded immediately after (Peak HR and BP), 10 min, 20 min, and 30 min following completion of exercise using an automated multipara monitor (RMS Phoebus P513). ...
Article
Full-text available
Background: Type 2 diabetes mellitus (T2DM) has multiple pathogenesis. Hereditary propagation marks the genetic role as a very certain factor in the causation of T2DM. Reports have suggested that individuals with a family history (FH) of T2DM exhibit an altered chronotropic response even before the manifestations of the disease. Physical exercise is a proven way to extract any of the underlying cardiovascular abnormalities. These abnormalities may not be present during rest and identifying them can be useful as a good estimate of the individual’s cardiac functional sufficiency. After the stoppage of exercise, heart rate recovery (HRR) gives a thought toward the consideration of the coordinated equilibrium of the parasympathetic and sympathetic neural pathways. The withdrawal of the sympathetic influence and simultaneous parasympathetic reactivation make HRR as a measure of the underlying autonomic dysfunction. The early outcomes of cardiac effects in healthy children of T2DM parents were studied. Any evidence of changes observed will suggest that such individuals can avert and retard the genetically propagated diseases by following an appropriate healthy lifestyle. Aims and Objectives: (1) To assess subclinical cardiac autonomic dysfunction by way of an episode of acute aerobic exercise and study heart rate (HR), HRR, and blood pressure (BP) parameters in children of T2DM. (2). To compare above assessment parameters among the 2 groups - children of T2DM and children of non-diabetic parents. Materials and Methods: The present study is a cross-sectional observational study comprising 120 subjects in the age group of 18–40 years, 60 Cases – children of T2DM parents and 60 age-matched Controls – children of non-diabetic parents. HR and BP were measured at rest, during exercise, immediately after (Peak HR and BP), 10 min, 20 min, and 30 min after completion of exercise. An automated multipara monitor (RMS-Phoebus P513) was used to record these parameters. An informed written consent and ethics committee approval from the institution was taken. All data were summarized and statistically analyzed. Values for statistical analysis are expressed as Mean ± standard deviation (SD) and for statistical significance, P < 0.05 was considered. Results: Basic attributes, anthropometry of both cases and controls were comparable. Blood glucose parameters despite being in normal range, were higher in cases (P > 0.05). HR, BP parameters at rest, and their response (behavior) to exercise were similar in both groups. Cases had an increased HR and BP with an increase in exercise duration, at peak exercise and during the early phase of recovery but returned to baseline levels following a total recovery period (30 min). Conclusion: Young euglycemic, non-diabetic children of T2DM parents have an altered chronotropic response to exercise. There is an increased HR and BP response during peak exercise, beginning and early phase of the recovery period. Such a dysregulation is probably suggestive of higher cardiovascular risk. This emphasizes a healthy lifestyle and early detection.
Preprint
Full-text available
The worldwide rise in blood glucose levels is a major health concern, as various metabolic diseases become increasingly common. Diet, a modifiable health behavior, is a primary target for the preventive management of glucose levels. Recent studies have shown that blood glucose responses after meals (post-prandial glucose responses, PPGR) can vary greatly among individuals, even with identical food consumption, and suggested that the gut microbiota might play an important role in these differences. While accurate glucose response prediction has been achieved using various features like microbiome data and blood parameters, the exact influence of each individual factor on the prediction is still not clear. Here, we show that a machine learning algorithm with data collected from a digital cohort with over 1,000 participants can achieve high accuracy in PPRG prediction. Interestingly, we find that the best PPGR prediction model only requires glycemic and temporally resolved diet data. The demonstrated ability to predict PPGR with high accuracy using only data collected in situ, without the need for biological lab analysis, offers a path towards highly scalable personalized nutrition and glucose management strategies.
Article
Full-text available
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity plays a crucial role in the therapy of diabetes, benefiting both types of patients. The detection, recognition, and subsequent classification of physical activity based on type and intensity are integral components of DM treatment. The continuous glucose monitoring system (CGMS) signal provides the blood glucose (BG) level, and the combination of CGMS and heart rate (HR) signals are potential targets for detecting relevant physical activity from the BG variation point of view. The main objective of the present research is the developing of an artificial intelligence (AI) algorithm capable of detecting physical activity using these signals. Using multiple recurrent models, the best-achieved performance of the different classifiers is a 0.99 area under the receiver operating characteristic curve. The application of recurrent neural networks (RNNs) is shown to be a powerful and efficient solution for accurate detection and analysis of physical activity in patients with DM. This approach has great potential to improve our understanding of individual activity patterns, thus contributing to a more personalized and effective management of DM.
Article
Full-text available
Recently, a novel type of high-intensity interval training known as sprint interval training has demonstrated increases in aerobic and anaerobic performance with very low time commitment. However, this type of training program is unpractical for general populations. The present study compared the impact of a low-volume high-intensity interval training to a "all-out" sprint interval training. Twenty-four active young males were recruited and randomized into three groups: (G 1: 3-5 cycling bouts × 30-s all-out with 4 min recovery; G 2: 6-10 cycling bouts × 125% P max with 2 min recovery) and a non-trained control group. They all performed a VO 2max test, a time to exhaustion at P max (T max) and a Wingate test before and after the intervention. Capillary blood lactate was taken at rest, 3, and 20 min after the Wingate trial. Training was performed 3 sessions per week for 4 weeks. In G 1, significant improvements (p < 0.05) following training were found in VO 2max (9.6%), power at VO 2max (12.8%), T max (48.4%), peak power output (10.3%) and mean power output (17.1%). In G 2, significant improvements following training were found in VO 2max (9.7%), power at VO 2max (16.1%), T max (54.2%), peak power output (7.4%; p < 0.05), but mean power output did not change significantly. Blood lactate recovery (20 th min) significantly decreased in G 1 and G 2 when compared with pre-testing and the CON group (p < 0.05). In conclusion, the results of the current study agree with earlier work demonstrating the effectiveness of 30-s all-out training program to aerobic and anaerobic adaptations. Of substantial interest is that the low volume high intensity training provides similar results but involves only half the intensity with double the repetitions.
Article
Full-text available
The consensus algorithm for the medical management of type 2 diabetes was published in August 2006 with the expectation that it would be updated, based on the availability of new interventions and new evidence to establish their clinical role. The authors continue to endorse the principles used to develop the algorithm and its major features. We are sensitive to the risks of changing the algorithm cavalierly or too frequently, without compelling new information. An update to the consensus algorithm published in January 2008 specifically addressed safety issues surrounding the thiazolidinediones. In this revision, we focus on the new classes of medications that now have more clinical data and experience.
Article
Full-text available
High intensity cycling training increases oxidative capacity in skeletal muscles and improves insulin sensitivity. The present study compared the effect of eight weeks of sprint interval running (SIT) and continuous running at moderate intensity (CT) on insulin sensitivity and cholesterol profile in young healthy subjects (age 25.2 ± 0.7; VO(2max) 49.3 ± 1.2 ml·kg(-1)·min(-1)). SIT and CT increased maximal oxygen uptake by 5.3 ± 1.8 and 3.8 ± 1.6%, respectively (p < 0.05 for both). Oral glucose tolerance test (OGTT) was performed before and 60 h after the last training session. SIT, but not CT, reduced glucose area under curve and improved HOMA β-cell index (p < 0.05). Insulin area under curve did not decrease significantly in any group. SIT, but not CT, reduced LDL and total cholesterol. In conclusion, sprint interval running improves insulin sensitivity and cholesterol profile in healthy subjects, and sprint interval running may be more effective to improve insulin sensitivity than continuous running at moderate intensity.
Article
The metabolic response to exercise in obese postabsorptive noninsulin-dependent diabetics was compared to that of obese nondiabetics. Exercise consisted of 45 min on a cycle ergometer at 60% maximum oxygen consumption. Six diabetic subjects were studied during oral hypoglycemic therapy and four on diet alone. The sulfonylurea therapy had no effect on the response. Glycemia was elevated at rest in both diabetic subgroups (192 ± 24 mg/dl for diet alone, 226 ± 36 mg/dl for sulfonylurea treatment) and a similar fall (35 and 37 mg/dl, respectively) occurred with exercise. In control subjects, glycemia was 86 ± 4 mg/dl and did not change with exercise. In the diabetics at rest, glucose production was elevated (220 ± 25 mg/min), whereas the metabolic clearance of glucose was suppressed. During exercise the increase in glucose utilization was similar to that in controls, but glucose production failed to increase significantly, thus accounting for the decline in plasma glucose. At rest, plasma immunoreactive insulin (IRI) was elevated to 0.90 ng/ml in the controls and decreased to 0.65 ng/ml with exercise. In the diabetics IRI was similarly elevated (0.89 ng/ml) but failed to decrease normally with exercise. Lactate, pyruvate, alanine, and free fatty acids increased similarly in diabetics and controls, whereas the increase in 3-hydroxybutyrate during recovery was less in diabetics. The sustained insulinemia, the basal overproduction of glucose, and hyperglycemia itself may all contribute to the observed differences in glucose flux during exercise in noninsulin-dependent diabetics.
Article
Context Exercise is widely perceived to be beneficial for glycemic control and weight loss in patients with type 2 diabetes. However, clinical trials on the effects of exercise in patients with type 2 diabetes have had small sample sizes and conflicting results.Objective To systematically review and quantify the effect of exercise on glycosylated hemoglobin (HbA1c) and body mass in patients with type 2 diabetes.Data Sources Database searches of MEDLINE, EMBASE, Sport Discuss, Health Star, Dissertation Abstracts, and the Cochrane Controlled Trials Register for the period up to and including December 2000. Additional data sources included bibliographies of textbooks and articles identified by the database searches.Study Selection We selected studies that evaluated the effects of exercise interventions (duration ≥8 weeks) in adults with type 2 diabetes. Fourteen (11 randomized and 3 nonrandomized) controlled trials were included. Studies that included drug cointerventions were excluded.Data Extraction Two reviewers independently extracted baseline and postintervention means and SDs for the intervention and control groups. The characteristics of the exercise interventions and the methodological quality of the trials were also extracted.Data Synthesis Twelve aerobic training studies (mean [SD], 3.4 [0.9] times/week for 18 [15] weeks) and 2 resistance training studies (mean [SD], 10 [0.7] exercises, 2.5 [0.7] sets, 13 [0.7] repetitions, 2.5 [0.4] times/week for 15 [10] weeks) were included in the analyses. The weighted mean postintervention HbA1c was lower in the exercise groups compared with the control groups (7.65% vs 8.31%; weighted mean difference, −0.66%; P<.001). The difference in postintervention body mass between exercise groups and control groups was not significant (83.02 kg vs 82.48 kg; weighted mean difference, 0.54; P = .76).Conclusion Exercise training reduces HbA1c by an amount that should decrease the risk of diabetic complications, but no significantly greater change in body mass was found when exercise groups were compared with control groups.
Article
The Association of British Clinical Diabetologists (ABCD) recognises the key importance of exercise and physical activity in the management of diabetes. This position statement by the ABCD aims to help health professionals working in diabetes to familiarise themselves with the issues surrounding the management of type 1 and type 2 diabetes. ABCD strongly supports that exercise and physical activity are key components of the initial and ongoing management of type 2 diabetes and can help to improve metabolic control and tackle cardiovascular risk factors. ABCD also believes that diabetes teams have an important role both in promotion of physical activity and in education of the key benefits to patients, carers and health professionals involved in the day to day management of this condition. ABCD also recognises that the issues in type 1 diabetes are very different and that, in this category of patients, the health benefits of exercise are not well documented – the issue is to help and support people to engage in physical activity or sports of their choice in a safe manner. This kind of support is not universally available at present and much needs to be done to achieve this. Copyright © 2010 John Wiley & Sons.
Article
High-volume endurance exercise (END) improves glycaemic control in type 2 diabetes (T2D) but many individuals cite 'lack of time' as a barrier to regular participation. High-intensity interval training (HIT) is a time-efficient method to induce physiological adaptations similar to END, but little is known regarding the effect of HIT in T2D. Using continuous glucose monitoring (CGM), we examined the 24-h blood glucose response to one session of HIT consisting of 10 × 60 s cycling efforts at ~90% maximal heart rate, interspersed with 60 s rest. Seven adults with T2D underwent CGM for 24-h on two occasions under standard dietary conditions: following acute HIT and on a non-exercise control day (CTL). HIT reduced hyperglycaemia measured as proportion of time spent above 10 mmol/l (HIT: 4.5 ± 4.4 vs. CTL: 15.2 ± 12.3%, p = 0.04). Postprandial hyperglycaemia, measured as the sum of post-meal areas under the glucose curve, was also lower after HIT vs. CTL (728 ± 331 vs. 1142 ± 556 mmol/l·9 h, p = 0.01). These findings highlight the potential for HIT to improve glycaemic control in T2D.