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Effectiveness of High-Intensity Interval Training (HIT) and Continuous Endurance Training for VO2max Improvements: A Systematic Review and Meta-Analysis of Controlled Trials

Authors:

Abstract

Background Enhancing cardiovascular fitness can lead to substantial health benefits. High-intensity interval training (HIT) is an efficient way to develop cardiovascular fitness, yet comparisons between this type of training with traditional endurance training are equivocal. Objective Our objective was to meta-analyse the effects of endurance training and HIT on the maximal oxygen consumption (VO2max) of healthy, young to middle-aged adults. Methods Six electronic databases were searched (MEDLINE, PubMed, SPORTDiscus, Web of Science, CINAHL and Google Scholar) for original research articles. A search was conducted and search terms included ‘high intensity’, ‘HIT’, ‘sprint interval training’, ‘endurance training’, ‘peak oxygen uptake’, ‘VO2max’. Inclusion criteria were controlled trials, healthy adults aged 18-45 y, training duration ≥2 weeks, VO2max assessed pre- and post-training. Twenty-eight studies met the inclusion criteria and were included in the meta-analysis. This resulted in 723 participants with a mean ± SD age and initial fitness of 25.1 ± 5 y and 40.8 ± 7.9 mL•kg-1•min-1, respectively. We made probabilistic magnitude-based inferences for meta-analysed effects based on standardized thresholds for small, moderate and large changes (0.2, 0.6 and 1.2, respectively) derived from between-subject standard deviations (SDs) for baseline VO2max. Results The meta-analysed effect of endurance training on VO2max was a possibly large beneficial effect (4.9 mL•kg-1•min-1; 95% confidence limits ±1.4 mL•kg-1•min-1), when compared with no exercise controls. A possibly moderate additional increase was observed for typically younger subjects (2.4 mL•kg-1•min-1; ±2.1 mL•kg-1•min-1) and interventions of longer duration (2.2 mL•kg-1•min-1; ±3.0 mL•kg-1•min-1), and a small additional improvement for subjects with lower baseline fitness (1.4 mL•kg-1•min-1; ±2.0 mL•kg-1•min-1). When compared to no exercise controls, there was likely large beneficial effect of HIT (5.5 mL•kg-1•min-1; ±1.2 mL•kg-1•min-1), with a likely moderate greater additional increase for subjects with lower baseline fitness (3.2 mL•kg-1•min-1; ±1.9 mL•kg-1•min-1) and interventions of longer duration (3.0 mL•kg-1•min-1; ±1.9 mL•kg-1•min-1), and a small lesser effect for typically longer HIT repetitions (-1.8 mL•kg-1•min-1; ±2.7 mL•kg-1•min-1). The modifying effects of age (0.8 mL•kg-1•min-1; ±2.1 mL•kg-1•min-1) and work:rest ratio (0.5 mL•kg-1•min-1; ±1.6 mL•kg-1•min-1) were unclear. When compared to endurance training, there was a possibly small beneficial effect for HIT (1.2 mL•kg-1•min-1; ±0.9 mL•kg-1•min-1) with small additional improvements for typically longer HIT repetitions (2.2 mL•kg-1•min-1; ±2.1 mL•kg-1•min-1), older subjects (1.8 mL•kg-1•min-1; ±1.7 mL•kg-1•min-1), interventions of longer duration (1.7 mL•kg-1•min-1; ±1.7 mL•kg-1•min-1), greater work:rest ratio (1.6 mL•kg-1•min-1; ±1.5 mL•kg-1•min-1) and lower baseline fitness (0.8 mL•kg-1•min-1; ±1.3 mL•kg-1•min-1). Conclusion Endurance training and HIT both elicit large improvements in the VO2max of healthy, young to middle-aged adults with the gains in VO2max being greater following HIT, when compared to endurance training.
SYSTEMATIC REVIEW
Effectiveness of High-Intensity Interval Training (HIT)
and Continuous Endurance Training for VO
2max
Improvements:
A Systematic Review and Meta-Analysis of Controlled Trials
Zoran Milanovic
´
1
Goran Sporis
ˇ
2
Matthew Weston
3
Published online: 5 August 2015
Ó Springer International Publishing Switzerland 2015
Abstract
Background Enhancing cardiovascular fitness can lead to
substantial health benefits. High-intensity interval training
(HIT) is an efficient way to develop cardiovascular fitness,
yet comparisons between this type of training and tradi-
tional endurance training are equivocal.
Objective Our objective was to meta-analyse the effects of
endurance training and HIT on the maximal oxygen con-
sumption (VO
2max
) of healthy, young to middle-aged adults.
Methods Six electronic databases were searched (MED-
LINE, PubMed, SPORTDiscus, Web of Science, CINAHL
and Google Scholar) for original research articles. A search
was conducted and search terms included ‘high intensity’,
‘HIT’, ‘sprint interval training’, ‘endurance training’, ‘peak
oxygen uptake’, and ‘VO
2max
’. Inclusion criteria were
controlled trials, healthy adults aged 18–45 years, training
duration C2 weeks, VO
2max
assessed pre- and post-training.
Twenty-eight studies met the inclusion criteria and were
included in the meta-analysis. This resulted in 723 partici-
pants with a mean ± standard deviation (SD) age and initial
fitness of 25.1 ± 5 years and 40.8 ± 7.9 mLkg
-1
min
-1
,
respectively. We made probabilistic magnitude-based
inferences for meta-analysed effects based on standardised
thresholds for small, moderate and large changes (0.2, 0.6
and 1.2, respectively) derived from between-subject SDs for
baseline VO
2max
.
Results The meta-analysed effect of endurance training on
VO
2max
was a possibly large beneficial effect
(4.9 mLkg
-1
min
-1
; 95 % confidence limits
±1.4 mLkg
-1
min
-1
), when compared with no-exercise
controls. A possibly moderate additional increase was
observed for typically younger subjects (2.4 mLkg
-1-
min
-1
; ±2.1 mLkg
-1
min
-1
) and interventions of longer
duration (2.2 mLkg
-1
min
-1
; ±3.0 mLkg
-1
min
-1
), and
a small additional improvement for subjects with lower
baseline fitness (1.4 mLkg
-1
min
-1
; ±2.0 mLkg
-1-
min
-1
). When compared with no-exercise controls, there
was likely a large beneficial effect of HIT (5.5 mLkg
-1-
min
-1
; ±1.2 mLkg
-1
min
-1
), with a likely moderate
greater additional increase for subjects with lower baseline
fitness (3.2 mLkg
-1
min
-1
; ±1.9 mLkg
-1
min
-1
) and
interventions of longer duration (3.0 mLkg
-1
min
-1
;
±1.9 mLkg
-1
min
-1
), and a small lesser effect for typi-
cally longer HIT repetitions (-1.8 mLkg
-1
min
-1
;
±2.7 mLkg
-1
min
-1
). The modifying effects of age
(0.8 mLkg
-1
min
-1
; ±2.1 mLkg
-1
min
-1
) and work/rest
ratio (0.5 mLkg
-1
min
-1
; ±1.6 mLkg
-1
min
-1
)were
unclear. When compared with endurance training, there was
a possibly small beneficial effect for HIT (1.2 mLkg
-1-
min
-1
; ±0.9 mLkg
-1
min
-1
) with small additional
improvements for typically longer HIT repetitions
(2.2 mLkg
-1
min
-1
; ±2.1 mLkg
-1
min
-1
), older subjects
(1.8 mLkg
-1
min
-1
; ±1.7 mLkg
-1
min
-1
), interventions
of longer duration (1.7 mLkg
-1
min
-1
; ±1.7 mLkg
-1-
min
-1
), greater work/rest ratio (1.6 mLkg
-1
min
-1
;
±1.5 mLkg
-1
min
-1
) and lower baseline fitness
(0.8 mLkg
-1
min
-1
; ±1.3 mLkg
-1
min
-1
).
Conclusion Endurance training and HIT both elicit large
improvements in the VO
2max
of healthy, young to middle-
& Zoran Milanovic
´
zoooro_85@yahoo.com
1
Faculty of Sport and Physical Education, University of Nis,
C
ˇ
arnojevic
´
eva 10a, 18000 Nis, Serbia
2
Faculty of Kinesiology, University of Zagreb, Zagreb,
Croatia
3
Department of Sport and Exercise Sciences, School of Social
Sciences, Business and Law, Teesside University,
Middlesbrough, UK
123
Sports Med (2015) 45:1469–1481
DOI 10.1007/s40279-015-0365-0
aged adults, with the gains in VO
2max
being greater fol-
lowing HI T when compared with endurance training.
Key Points
When compared with no exercise, endurance training
and high-intensity interval training elicit large
improvements in maximal oxygen uptake.
Endurance training and high-intensity interval
training elicit additional benefit for individuals with
lower pre-training fitness.
In healthy, young to middle-aged adults, high-
intensity interval training improves maximal oxygen
uptake to a greater extent than traditional endurance
training.
1 Introduction
Improving or maintaining cardiovascular fitness can
reduce the risk of all-cause and cardiovascular diseases
[1]. Indeed, when com pared with o ther well established
risk factors such as hypertension, diabetes mellitus,
smoking and obe sity, cardiovascular fitness is a more
powerful predictor of mortality [2, 3]. Fitnes s training
programme s aimed at the improvement of cardiovascular
fitness therefore have broad appeal to the general
population.
The fitness industry has recently seen a surge of interest
in high-intensity interval training (HIT)—a burst-and-re-
cover cycle that is suggested to be a viable alternative to
the traditional approach to enhancing aerobic fitness,
namely continuous endurance training [4]. However,
specifying an optimal training regimen for im proving fit-
ness in the general community requires knowledge of how
these different types of training influence adaptations in
physiological parameters [5]. Consequently, there has been
a substantial amount of research examining which modality
of training, endurance or HIT, is superior for aerobic fitness
improvements.
Endurance training and HIT both increase aerobic fit-
ness [6] and thus relate to benefits in cardiovascular risk
factors, fitness and all-cause mortality [7]. Some studies,
however, have suggested that HIT leads to improvements
in both aerobic and anaerobic fitness [8] and improves
endurance performance to a greater extent than endurance
training alone [9]. For example, Daussin et al. [10] found
that maximal oxygen uptake (VO
2max
) increases were
higher for untrained men and women who participated in
an 8-week HIT program me (15 %) than they were for
untrained participants undertaking an endurance training
programme (9 %). High-intensity interval training has also
been reported to be more effective than continuous, steady-
state exercise training for inducing fat loss in men and
women, despite requiring considerably less total energy
expenditure during training [11, 12]. Recent studies have
demonstrated that the cardiovascular adaptations occurring
following HIT are similar, and in some cases superior, to
those following endurance training [5, 13], and further
beneficial effects of HIT were provided by the Nord-
Trøndelag Health Study [13], which indicated that just a
single weekly bout of HIT reduced the risk of cardiovas-
cular disease in both men and women (relative risk: 0.61
and 0.49, respectively).
It is therefore not surprising that recent meta-analyses
[1417] have confirmed HIT to be an appropriate training
stimulus to improve cardiorespiratory fitness and reduce
metabolic risk factors in patient populations. Using similar
inclusion criteri a to the aforementioned reviews, Bacon
et al. [18] meta-analysed the effect of HIT on VO
2max
but
only calculated an overall effect size, irrespective of the
type of control group (no-exercise or endurance training).
Consequently, we cannot conclude that HIT is better than
endurance training because the effect of HIT is, naturally,
much higher in comparison with no-exercise control groups
than the effect when compared with endurance training
controls. A separate analysis (HIT vs endurance training;
HIT vs no exercise) is therefore necessary to determine
more precise effects of HIT. Gist et al. [19] reported a
moderate effect (0.69) of sprint interval training (SIT)—
classified as a form of HIT at the highest end of the
intensity spectrum [20]—on VO
2max
in comparison with
no-exercise control groups; yet a trivial effect (0.04) when
compared with endurance training controls. However, this
meta-analysis [19], as well as the recent meta-analyses
performed by Weston et al. [21] and Sloth et al. [20], only
addressed the effect of SIT on VO
2max
. In doing so, these
reviews excluded HIT research utilizing longer interval
durations and shorter recovery periods. While there have
been meta-analyses on longer duration HIT repetitions in
patient populations [1417], to the best of the authors’
knowledge there is no systematic review and meta-anal ysis
examining the effect of longer duration HIT repetitions in
comparison with either endurance training or no-exercise
controls. Therefore, our aim was to meta-analyse the
effects on VO
2max
of endurance training and HIT in heal-
thy, young to middle-aged adults, when compare d with no-
exercise controls and also when the two types of training
were compared with one another. A further aim was to
examine the modifying effects of study and subject
characteristics.
1470 Z. Milanovic
´
et al.
123
2 Methods
2.1 Search Strategy
Electronic database searches were performed using MED-
LINE, PubMed, SPORTDiscus, Web of Science, CINAHL
and Google Scholar using all available records up to 28
February 2014. The search terms covered the areas of high-
intensity interval training, continuous endurance training
and VO
2max
using a combination of the following key
words: high-intensity interval training, high-intensity
intermittent training, sprint interval training, endurance
training, continuous endurance training, aerobic exercises,
maximal oxygen uptake, peak oxygen uptake, cardiores-
piratory fitness, VO
2max
, young adults. The literature
search, quality assessment and data extraction were con-
ducted independently by two authors (ZM and GS). Papers
that were clearly not relevant were removed from the
database list before assessing all other titles and abstracts
using our pre-determined inclusi on and exclusion criteria.
Inter-reviewer disagreements were resolved by consensus
opinion or arbitration by a third reviewer. Full papers,
including reviews, were then collected and when not
available the corresponding author was contacted by mail.
Reference lists of the selected manuscripts were also
examined for any other potentially eligible papers. This
systematic review and meta-analysis was undertaken in
accordance with the Preferred Reporting Items for Sys-
tematic Reviews and Meta-Analyses (PRISMA) statement
[22].
2.2 Inclusion Criteria
2.2.1 Type of Study
Our meta-analysis included randomised and non-ran-
domised controlled trials, written in English. Uncontrolled
and cross-sectional studies were excluded from analysis
and only studies published in the last 20 years (after 1995)
were included in our review.
2.2.2 Type of Participants
The type of participants included i n our meta-analysis
were healthy, untrained, sedentary, recreational and non-
athleticmenandwomenagedbetween18and45years,
who were not suffering from any kind of acute or chronic
diseases. No exclusion criteri a w ere applied to partici-
pant baseline fitness; however, studies with overweight
and o bese participants were excluded from our re view
due to confusion over the proper expression of VO
2max
data when comparing obese and normal weight
individuals.
2.2.3 Type of Interventions
To be included in our meta-analysis, training programmes
had to last at least a minimum of 2 weeks, with participants
allocated to endurance training, HIT or a no-exercise
control group. Endurance training intensity was classified
as moderat e intensity (60–85 % maximum heart rate
[HR
max
]), with HIT intensity classified as ‘all-out’,
‘supramaximal’, ‘maximal’ or ‘high (90–95 % HR
max
)’.
Studies involving nutritional interventions were only
included if the intervention was used by all participants,
and stud ies were excluded if training was combined with
strength training.
2.2.4 Type of Outcome Measure
The outcome measure for this meta-analysis was maximal
oxygen uptake (VO
2max
).
2.3 Final Study Selection
Following database examination, 804 pote ntial manuscripts
were identified with another 17 selected on the basi s of the
reference lists of the potential manuscripts (Fig. 1). After
removal of duplicates and elimination of papers based on
title and abstract screening, 84 studies remained. The full
texts of the remaining papers were examined in more
detail. According to our eligibility criteria, 56 did not meet
the inclusion criteria leaving 28 studies that met our
inclusion criteria and were therefore included in the meta-
analysis (Table 1).
2.4 Data Extraction
Cochrane Consumers and Communication Review Group’s
data extraction protocol was used to extract participant
information including age, health status and sex, sample
size, description of the intervention (including type of
exercises, intensity, duration and frequency), study design
and study outcomes. This was undertaken by one author
(ZM) while GS checked the extracted data for accuracy and
completeness. Disagreements were resolved by consensus
or by a third reviewer. Reviewers were not blinded to
authors, institutions or manuscript journals. In those studies
where the data were shown in figures or graphs, either the
corresponding author was contacted to get the nume rical
data to enable analysis or graph digitizer software was used
to extract the necessary data (DigitiZelt, Germany).
HIT vs Endurance Training 1471
123
2.5 Assessment of Bias
Risk of bias was evaluated according to the PRISMA
recommendation [23] and two independent reviewers
assessed the risk of bias. Agreement between the two
reviewers was assessed using k statistics for full-text
screening, and rating of relevance and risk of bias. When
there was disagreement about the risk of bias, a third
reviewer checked the data and took the fin al decision on it.
The k agreement rate between reviewers was k = 0.95.
2.6 Statistical Analysis
A random effects meta-analysis was conducted to deter-
mine the pooled effect size of HIT and endurance training
on VO
2max
, using Comprehensive Meta-Analysis software,
Version 2 for Windows (Biostat company, Englewood, NJ,
USA). We performed separate analyses to determine the
pooled effect of the change in VO
2max
for endurance
training vs no exercise, HIT vs no exercise, and HIT vs
endurance training. The precision of the pooled effect was
reported as 95 % confidence limits (CL) and also as prob-
abilities that the true value of the effect was trivial, bene-
ficial or harmful in relation to threshold values for benefit
and harm. These probabilities were then used to make a
qualitative probabilistic inference about the overall effect
[24]. Given that enhanced aerobic functioning has clear
clinical applications [21], our meta-analysed effects were
assessed via clinical inferences. Here, the effects were
considered unclear if the chance of benefit (improved
VO
2max
) was high enough to warrant use of the intervention
but with an unacceptable risk of harm (reduced VO
2max
).
An odds ratio of benefit to harm of\66 was used to identify
such unclear effects. Inferences were then subsequently
Records identified through database
searching
(n = 804)
ScreeningIncluded
Eligibility
Identification
Additional records identified
through references list
(n = 17)
Records after duplicates removed
(n = 548)
Records screened by title or
abstract
(n = 316)
Records excluded after abstract
analysis
(n = 232)
Full-text articles assessed
for eligibility
(n = 84)
Full-text articles excluded, with
reasons
(n = 56)
Not original investigation (n=8)
Not relevant outcomes (n=22)
Not young adult (n=10)
Other (n=16)
Studies included in
qualitative and quantitative
synthesis (meta-analysis)
(n = 28)
Fig. 1 Flow diagram of the study selection process
1472 Z. Milanovic
´
et al.
123
Table 1 Summary of characteristics of all studies meeting the inclusion criteria
Study Population, age (year), no. of subjects, groups (n) Duration
(weeks)
Total
sessions
Group Exercise
intensity
No. of reps Total
reps
Reps
duration
(s)
Work/
rest
ratio
D
VO
2max
(%)
Outcomes and results
Start End
Astorino et al.
[26]
Recreational active men (n = 16) and women
(n = 13), age 25.3 ± 4.5 years
HIT (n = 20), CON (n = 9)
3 6 HIT All-out 4 6 30 30 0.10 6.1 HIT : VO
2max
, oxygen pulse and power output
NC in resting BP, HR and force production
Nybo et al. [27] Untrained inactive men (n = 36), age 20–43 years
HIT (n = 8), END (n = 9), CON (n = 11), STR
(n = 8)
12 36 HIT 95–100 %
HR
max
5 5 180 120 2.0 14.0 HIT was less efficient than END for resting
HR, fat percentage and ratio between total
and HDL cholesterol. END ; body mass and
fat percentage
NC in total bone mass and lean body mass in
HIT and END groups
36 END 80 % HR
max
3600 7.4
Osei-Tutu and
Campagna
[28]
Healthy Caucasian sedentary men and women
(n = 40), age 20–40 years
END (n = 15), CON (n = 10)
8 40 END 60–79 % HR
max
1800 7.2 VO
2max
: in END. END ; fat percentage
(-6.7 %), tension and total mood
disturbance
Trapp et al. [11] Healthy nonsmoking, inactive women (n = 45),
age 18–30 years
HIT (n = 15), END (n = 15), CON (n = 15)
15 45 HIT 95–100 %
HR
max
60 60 2700 8 0.67 26.4 HIT and END : VO
2max
compared with CON
group; only HIT ; total body mass, fat mass,
trunk fat and insulin level
NC in adiponectin levels in HIT and END
groups
45 END 75 % HR
max
1200–2400 19.4
Gormley et al.
[29]
Healthy young men and women (n = 61), age
18–44 years
HIT (n = 13), END (n = 13), CON (n = 14)
6 18 HIT 100 % HRR 5 5 90 300 1 20.2 HIT and END : VO
2max
NC in resting HR and BP in any group24 END 75 % HRR 2400 9.6
Ciolac et al. [30] Healthy young college women (n = 44), age
20–30 years
HIT (n = 16), END (n = 16), CON (n = 12)
16 48 HIT 80–90 %VO
2max
14 14 672 60 0.5 15.7 HIT and CON were equally ; ambulatory
blood pressure and ;; insulin
48 END 60–70 %
VO
2max
2400 8.0
Bayati et al. [31] Young active males (n = 16), age 25.0 ± 0.8
years
HIT (n = 8), CON (n = 8)
4 12 HIT 125 % P
max
6 10 96 30 0.25 9.7 HIT : power at VO
2max
(?16.1 %) and peak
power output (?7.4 %); blood lactate
recovery : in HIT compared with CON
NC in mean power output
Metcalfe et al.
[32]
Healthy sedentary young men and women
(n = 29), age 22.5 ± 2.0 years
HIT (n = 15), CON (n = 14)
6 18 HIT All-out 1 2 35 10–20 13.4 HIT : insulin sensitivity by 28 % in men
Ziemann et al.
[33]
Recreationally active men (n = 21), age
21.3 ± 1.0 years
HIT (n = 10), CON (n = 11)
6 18 HIT 80 % pVO
2max
6 6 108 90 0.5 11.0 HIT : anaerobic threshold
(3.8 mLkg
-1
min
-1
), work output
(12.5 Jkg
-1
), glycolytic work (11.5 Jkg
-1
),
mean power (0.3 W kg
-1
), peak power
(0.4 Wkg
-1
), and max power (0.4 Wkg
-1
)
Ben
Abderrahman
et al. [34]
Male physical education students (n = 15), age
20.6 ± 0.7 years
HIT (n = 9), CON (n = 6)
7 21 HIT 105–110 %
MAS
8 10 66 30 1 5.9 NC in time spent above 95 % of VO
2max
in
absolute and relative values
Burgomaster
et al. [35]
Healthy young men (n = 10) and women
(n = 10), age 23.56 ± 1.0 years
HIT (n = 10), END (n = 10)
6 18 HIT All-out 4 6 30 30 0.11 7.3 HIT and END : in mitochondrial markers for
skeletal muscle and lipid oxidation; both
groups : VO
2max
compared with control
group without changes between training
groups
NC in percentage of body fat and energy
intake in all groups
30 END 65 % VO
2peak
2400–3600 9.8
Chtara et al.
[36]
Male physical education students (n = 48), age
21.4 ± 1.3 years
HIT (n = 10), CON (n = 9)
12 24 END 100 % vVO
2max
5 5 120 9.8 HIT : in vVO
2max
10.38 %
HIT vs Endurance Training 1473
123
Table 1 continued
Study Population, age (year), no. of subjects, groups (n) Duration
(weeks)
Total
sessions
Group Exercise
intensity
No. of reps Total
reps
Reps
duration
(s)
Work/
rest
ratio
D
VO
2max
(%)
Outcomes and results
Start End
Hottenrott et al.
[6]
Recreational endurance men (n = 15) and women
(n = 15), age 43.4 ± 6.9 years
HIT (n = 14), END (n = 16)
12 36 HIT All-out 4 10 936 30 0.33 18.5 HIT and END :: peak oxygen uptake, resting
HR, V
LT
and visceral fat, body mass; END :
total body fat and fat-free mass compared
with HIT
NC in maximal lactate for both groups
24 END 75–85 % V
LT
1800–7200 7.0
Lo et al. [37] Healthy nonathletic men (n = 34), age
20.4 ± 1.36 years
HIT (n = 10), STR (n = 10), CON (n = 14)
24 72 END 75–85 % HRR 1800 20.5 END and STR : VO
2max
and lower body
strength; STR : upper body strength, lean
mass and body size of arm and calf
compared with END and CON groups
McKay et al.
[38]
Young adult men (n = 12), age 25.0 ± 4.0 years
HIT (n = 6), END (n = 6)
3 8 HIT 120 % WR
max
8 12 60 60 1 4.3 HIT and END : VO
2max
after training
programme; HIT and END ; time constant
for VO
2
response by *20 % after only
2 days of training and by *40 % post-
training, with no difference between groups
8 END 65 % VO
2max
5400–7200 7
Tabata et al.
[39]
Young male students (n = 14), age 23.0 ± 1.0
years
HIT (n = 7), END (n = 7)
6 30 HIT 170 % VO
2max
7 8 225 20 2 14.6 END did not increase anaerobic capacity but
:: in VO
2max
HIT :: VO
2max
by 7 mLkg
-1
min
-1
and
anaerobic capacity by 28 %
30 END 70 % VO
2max
3600 9.4
Cocks et al. [40] Young sedentary men (n = 16), age 21.0 ± 0.7
years
HIT (n = 8), END (n = 8)
6 18 HIT All-out 4 5 85 30 0.11 7.6 HIT and END : VO
2peak
and maximal power
output (END 16 %, HIT 9 %); both groups ;
in HRR, mean and diastolic BP with no
difference between group; NC in systolic BP
in both groups
30 END 65 % VO
2peak
2400–3600 15.6
Dunham and
Harms [41]
Physically active, healthy, untrained subjects
(n = 15), age 21.3 ± 2.3 years
HIT (n = 8), END (n = 7)
4 12 HIT 90 % VO
2max
5 5 60 60 0.33 9.6 HIT and END : VO
2max
and time trials
following training with no differences
between groups; HIT : in maximum
inspiratory pressure compared with END
NC in expiratory flow rates in both groups
12 END 60–70 %
VO
2max
2700 5.5
Edge et al. [42] Recreationally female students (n = 16), age
20.0 ± 1.0 years
HIT (n = 8), END (n = 8)
5 15 HIT 120–140 % LT 2 10 100 120 2 14.0 HIT and END : in VO
2peak
and the LT
(7–10 %), with no significant differences
between groups
NC in percentage of VO
2peak
at which LT
occurred
15 END 80–95 % LT 14
Esfarjani and
Laursen [43]
Healthy recreational men (n = 17), age 20.0 ± 2.0
years
HIT1 (n = 6), HIT2 (n = 6), END (n = 5)
10 20 HIT 75 % vVO
2max
5 8 130 200 1 9.2 HIT1 : in VO
2max
, vVO
2max
(?6.4 %), T
max
(5 %) and V
LT
(?11.7 %); HIT2 : in
VO
2max
, vVO
2max
(?7.8 %), T
max
(32 %),
and V
LT
(?11.7 %) but not V
LT
;NCin
these variables were found in END
HIT1: in VO
2max
and T
max
compared with
END
20 HIT 130 % vVO
2max
7 12 190 30 0.11 6.2
40 END 75 % vVO
2max
3600 2.1
Macpherson
et al. [44]
Healthy young recreationally active men (n = 12)
and women (n = 8), age 24.0 ± 3.0 years
HIT (n = 6), END (n = 5)
6 18 HIT All-out 4 6 90 30 0.11 11.5 HIT and END : body composition, 2000-run
time trial performance and VO
2max
; ft mass
; by 12.4 % with HIT and 5.8 % with END;
lean mass : 1 % in both groups. None of
these improvements differed between
groups
18 END 65 % VO
2max
1800–3600 12.5
Shepherd et al.
[45]
Healthy sedentary men (n = 16), age 21.5 ± 1.0
years
HIT (n = 8), END (n = 8)
6 18 HIT All-out 4 6 90 30 0.11 7.6 HIT and END :: VO
2peak
, fat-free mass, and
maximum workload; NC in relative fat mass
30 END 65 % VO
2peak
2400–3600 15.6
1474 Z. Milanovic
´
et al.
123
Table 1 continued
Study Population, age (year), no. of subjects, groups (n) Duration
(weeks)
Total
sessions
Group Exercise
intensity
No. of reps Total
reps
Reps
duration
(s)
Work/
rest
ratio
D
VO
2max
(%)
Outcomes and results
Start End
Helgerud et al.
[5]
Healthy nonsmoking men (n = 24), age
24.6 ± 3.8 years
HIT1 (n = 6), HIT2 (n = 6), END1 (n = 6),
END2 (n = 6)
8 24 HIT1 90–95 % HR
max
47 47 1128 15 1 6.4 HIT1 and HIT 2 :: VO
2max
compared with
END1 and END 2; percentage increases in
VO
2max
for the HIT1 and HIT 2 groups were
5.5 and 7.2 %, respectively. Stroke volume
of the heart : in HIT1 and HIT2
NC in blood volume, high-density lipoprotein
and low-density lipoprotein in any groups
after training programme
24 HIT2 90–95 % HR
max
4 4 96 240 1.33 8.8
24 END1 70 % HR
max
2700 1.8
24 END2 85 % HR
max
1455 2.0
Warburton et al.
[46]
Healthy untrained men (n = 20), age 30 ± 4 years
HIT (n = 6), END (n = 6), CON (n = 8)
12 36 HIT 90 % VO
2max
8 12 384 120 1 22.2 HIT and END :: VO
2max
and peak stroke
volume, blood volume compared to CON;
no differences between HIT and END in any
parameters
36 END 65 % VO
2max
1800–2880 23
Berger et al.
[47]
Healthy sedentary men (n = 11) and women
(n = 12), age 24 ± 5 years
HIT (n = 8), END (n = 8), CON (n = 7)
6 22 HIT 90 % VO
2max
15 20 445 60 1 21.0 HIT and END :: VO
2max
and pulmonary
VO
2max
kinetics, compared with CON
22 END 60 % VO
2max
1800 20.0
Matsuo et al.
[48]
Sedentary men (n = 42), age 26.5 ± 6.2 years
HIT (n = 14), END (n = 14)
8 40 HIT 80–85 %
VO
2max
3 3 120 180 1.5 22.5 HIT and END :: VO
2max
, HIT :: VO
2max
compared with END; only HIT :: left
ventricular mass, stroke volume and resting
HR
40 END 60–65 %
VO
2max
2400 10.0
O’Donovan
et al. [49]
Sedentary men (n = 42), age 41 ± 4
HIT (n = 13), END (n = 14), CON (n = 15)
24 72 HIT 80 % VO
2max
15.7 HIT and END :: VO
2max
, HIT : HDL and ;
LDL, NC in END for HDL and LDL
72 END 60 % VO
2max
22.5
Sandvei et al.
[50]
Healthy young men (n = 8) and women (n = 15),
age 25.2 ± 0.7 years
HIT (n = 11), END (n = 12)
8 24 HIT 100 % HR
max
5 10 189 30 0.16 5.3 HIT and END : VO
2max
, HIT : insulin
sensitivity and cholesterol profile while NC
for END
24 END 70–80 % HR
max
1800–3600 3.8
BP blood pressure, CON control group, END continuous endurance training, HDL high-density lipoprotein, HIT high-intensity interval training, HR heart rate, HR
max
maximum heart rate, HRR heart rate reserve, LT lactate threshold,
MAS maximal aerobic speed, max maximal, NC no changes p [ 0.05, P
max
power at VO
2max
, pVO
2max
maximal aerobic power, rep repetitions, STR strength training, T
max
time to exhaustion at vVO
2max
, V
LT
velocity of the lactate
threshold, VO
2max
maximal oxygen uptake, VO
2peak
peak rate of oxygen consumption, vVO
2max
running speed at VO
2max
, WR
max
work rate at maximal O
2
uptake, : indicates significant increase p \ 0.05, :: indicates significant
increase p \ 0.01, ; indicates significant decreases p \ 0.05, ;; indicates significant decreases p \ 0.01
HIT vs Endurance Training 1475
123
based on standardised thresholds for small, moderate and
large changes of 0.2, 0.6 and 1.2 standard deviations (SDs),
respectively [24] and derived by averaging appropriate
between-subject variances for baseline VO
2max
. Magnitude
thresholds were 0.8, 2.4 and 4.7 mLkg
-1
min
-1
(en-
durance vs no exercise), 0.8, 2.3 and 4.7 mLkg
-1
min
-1
(HIT vs no exercise) and 0.9, 2.6 and 5.3 mLkg
-1
min
-1
(HIT vs endurance training). The chance of the true effect
being trivial, beneficial or harmful was then interpreted
using the following scale: 25–75 %, possibly; 75–95 %,
likely; 95–99.5 %, very likely; [99.5 %, most likely [24].
Random variation in the effect from study to study was
expressed as an SD, with the SD doubled to interpret its
magnitude [25]. Publication bias was assessed by examin-
ing asymmetry of funnel plots using Egger’s test, and a
significant publication bias was considered if the p \ 0.10.
2.7 Meta-Regression Analysis
Meta-regression analyses were conducted to explore the
effect of putative moderator variables on the pooled effect.
Here, we selected five moderator variables that could rea-
sonably influence the overall effect of training on VO
2max
and these were age, baseline fitness, intervention duration,
work:rest ratio and HIT repetition duration. The modifying
effects of these five variables were calculated as the effect
of two SDs (i.e. the difference between a typically low and
a typically high value) [24].
3 Results
The Egger’s test was performed to provide statistical evi-
dence of funnel plot asymmetry (Fig. 2) and the results
indicated publication bias for all analyses (p \ 0.10).
3.1 Endurance Training vs No-Exercise Controls
The meta-analysed effect of endurance training, when
compared with controls, was a possibly large beneficial
effect on VO
2max
(4.9 mLkg
-1
min
-1
;95%CL
±1.4 mLkg
-1
min
-1
) (Fig. 3; Table 2). Meta-regression
analysis revealed a greater beneficial effect (possibly
moderate) for typically younger vs older subjects and
interventions of longer duration, and a greater beneficial
improvement (possibly small) for subjects with typically
lower baseline fitness. The random variation in the overall
pooled effect from study to study, expressed as an SD, was
1.3 mLkg
-1
min
-1
.
3.2 High-Intensity Interval Training (HIT) vs No-
Exercise Controls
The meta-analysed effect of HIT, when compared with
controls, was a likely large beneficial effect on VO
2max
(5.5 mLkg
-1
min
-1
; ±1.2 mLkg
-1
min
-1
) (Fig. 4;
Table 3). Meta-regression analysis revealed a likely mod-
erate greater beneficial improvement in VO
2max
for sub-
jects with typically lower baseline fitness and interventions
of longer duration and a likely small lesser effect for longer
HIT repetitions. The effects of all other puta tive modifiers
were unclear. Random variation in the effect from study to
study was 1.3 mLkg
-1
min
-1
.
3.3 HIT vs Endurance Training
When compared wi th endurance training, there was a
possibly small beneficial effect of HIT on VO
2max
(1.2 mLkg
-1
min
-1
; ±0.9 mLkg
-1
min
-1
) (Fig. 5;
Table 4). The modify ing effects of typically longer HIT
repetitions, older and less fit subjects, longer interventions
Fig. 2 Funnel plot of standard
difference in means vs standard
error; the aggregated standard
difference in means is the
random effects mean effect size
weighted by degrees of freedom
1476 Z. Milanovic
´
et al.
123
and a greater work:rest ratio were possibly to likely small
increased beneficial improvements in VO
2max
. Random
variation in the effect from study to study was
0.8 mLkg
-1
min
-1
.
4 Discussion
This study presents a quantitative evaluation of HIT and
endurance training models for VO
2max
improvements in
healthy adul ts aged 18–45 years. Our results show that
when compared with no-exercise controls, both types of
training elicit large improvements in VO
2max
. In studies
where HIT and endurance were directly compared, there
was a small beneficial effect for HIT.
The results of our systematic review and meta-analysis
confirm the conclusions of previous studies [11, 2730, 36,
37, 51] that continuous aerobic endur ance training is an
effective method for VO
2max
improvement in young adults.
The training effect was greater for less fit adults, which is
consistent with previous work demonstrating that aerobic
training has an adaptive effect that favours the less fit [21].
Further to this, the beneficial effect of continuous endur-
ance training on VO
2max
is greater for younger subjects and
with interventions of longer duration. Most of the studies in
this particular analysis undertook three moderate-intensity
sessions per week lasting 40–60 min, yet the American
College of Sports Medicine (ACSM) recommends to
undertake moderate-intensity continuous exercises for a
minimum of 30 min on 5 days each week or 20 min of
vigorous exercises 3 days each week, or a combination of
the two [52]. As such, it is clear from the findings of this
review that substantial gains in aerobic fitness can be
obtained with a moderate-intensity training session fre-
quency lower than that currently recommend [2].
When compared with no-exercise controls, HIT elicits a
likely large substantial improvement in the VO
2max
of
healthy adults. The size of this effect was greater than that
-20.0 -10.0 0.0 10.0 20.0
Bayati et al. [31]
Astorino et al. [26]
Esfarjani and Laursen [43]
Ben Abderrahman et al. [34]
Ciolac et al. [30]
Ziemann et al. [33]
Metcalfe et al. [32]
Nybo et al. [27]
Gormley et al. [29]
Berger et al. [47]
O' Donovan et al. [49]
Trapp et al. [11]
Warburton et al. [46]
Overall
Favours
control
Favours
HIT
Study name
Mean difference (mL·kg
-1
·min
-1
)
with 95% CL
Fig. 4 Effects of HIT vs no-exercise controls on maximal oxygen
uptake. CL confidence limits, HIT high-intensity interval training
Table 2 Effects of endurance training on VO
2max
Effect on VO
2max
(mLkg
-1
min
-1
) Inference
Mean ±95 % CL
Main effect
Endurance training vs control 4.9 ±1.4 Possibly large :
Modifying effects
a
Age lower by 13.7 years 2.4 ±2.1 Possibly moderate :
Intervention duration longer by 13 weeks 2.2 ±3.0 Possibly moderate :
Baseline VO
2max
lower by 12.6 mLkg
-1
min
-1
1.4 ±2.0 Possibly small :
CL confidence limits, VO
2max
maximal oxygen uptake, : indicates increase
a
Modifying effects are presented as the effect of two standard deviations of the numerical covariates (i.e. a typically high value minus a
typically low value)
-20.0 -10.0 0.0 10.0 20.0
Favours
control
Favours
endurance training
Ciolac et al. [30]
Gormley et al. [29]
Nybo et al. [27]
Osei-Tutu and Campagna [28]
Chtara et al. [36]
O' Donovan et al. [49]
Lo et al. [37]
Berger et al. [47]
Trapp et al. [11]
Warburton et al. [46]
Overall
Study name
Mean difference (mL·kg
-1
·min
-1
)
with 95% CL
Fig. 3 Effects of endurance training vs no-exercise controls on
maximal oxygen uptake. CL confidence limits
HIT vs Endurance Training 1477
123
reported by Gist et al. [19], who reported a moderate effect
(effect size 0.69) for low-volume HIT when compared with
no-exercise controls, with differences in the overall dose of
exercise possibly accounting for these inconsistent results.
Irrespective of dose, HIT has a clear beneficial effect on the
aerobic fitness of healthy young adults when compared
with no exercise. This effect is moderated by initial fitness
as the training benefits individuals with lower initial fit-
ness—a finding consistent with low-volume HIT pro-
grammes [21]. With regard to HIT programming, a
moderating beneficial effect for longer intervention
duration is consistent with the subgroup analysis performed
by Bacon et al. [18]. Here, the authors reported that the
largest increases in VO
2max
were following longer inter-
vention durations (p = 0.004). Additionally, we found an
unclear effect on VO
2max
with an increased work:rest ratio
(e.g. greater recovery between HIT repetitions), a finding
consistent with that reported by Weston et al. [21]. Future
studies are therefore needed to resolve this unclear effect,
although the prescription of an ‘optimal’ work:rest ratio is
challenging as variables such as age, sex, baseline fitness
and training experience may need to be considered when
designing HIT programmes. We also found an unclear
modifying effect of age on HIT and consistent with pre-
vious HIT meta-analyses [18, 19, 21], the dem ographic of
participants in the studies analysed was mainly young
adults. As such, we suggest that more HIT studies need to
be undertaken in older populations, especially given the
recent encouraging findings reported by Adamson et al.
[53] and Knowles et al. [54] whereby HIT elicited sub-
stantial improvements in VO
2max
and also measures of
functional fitness and quality of life.
When compared with endurance training controls, HIT
had a possibly small beneficial effect on VO
2max
. Previous
comparisons between HIT and endurance training yielded
either an unclear effect [19, 21] or a significantly higher
increase in VO
2peak
after HIT compared with endurance
training (3.03 mLkg
-1
min
-1
; ±2.0 to 4.1 mLkg
-1-
min
-1
)[21]. Discrepancies in the overall training dose (e.g.
low-volume HIT vs HIT) and study participants (e.g.
healthy participants vs patient populations) no doubt
account for the inconsistency in these findings. The dif-
ference in the training effect between HIT and endurance
was enhanced for older and less fit subjects, suggesting
Table 3 Effects of HIT on VO
2max
Effect on VO
2max
(mLkg
-1
min
-1
) Inference
Mean ±95 % CL
Main effect
HIT vs control 5.5 ±1.2 Likely large :
Modifying effects
a
Baseline VO
2max
lower by 18.5 mLkg
-1
min
-1
3.2 ±1.9 Likely moderate :
Intervention duration longer by 13 weeks 3.0 ±1.9 Likely moderate :
Age higher by 11.7 years 0.8 ±2.1 Unclear
Work:rest ratio higher by 1.1 0.5 ±1.6 Unclear
HIT repetition duration longer by 161 s -1.8 ±2.7 Likely small ;
CL confidence limits, HIT high-intensity interval training, VO
2max
maximal oxygen uptake, : indicates increase, ; indicates decrease
a
Modifying effects are presented as the effect of two standard deviations of the numerical covariates (i.e. a typically high value minus a
typically low value)
-20.0 -10.0 0.0 10.0 20.0
Cocks et al. [40]
Shepherd et al. [45]
McKay et al. [38]
Edge et al. [42]
Macpherson et al. [44]
Berger et al. [47]
Warburton et al. [46]
Sandvei et al. [50]
Burgomaster et al. [35]
Dunham and Harms [41]
Trapp et al. [11]
Tabata et al. [39]
Nybo et al. [27]
Ciolac et al. [30]
O' Donovan et al. [49]
Gormley et al. [29]
Helgerud et al. [5]
Hottenrott et al. [6]
Matsuo et al. [48]
Overall
Study name
Mean difference (mL·kg
-1
·min
-1
)
with 95% CL
Favours endurance
training
Favours
HIT
Fig. 5 Effects of HIT vs endurance training on maximal oxygen
uptake. CL confidence limits, HIT high-intensity interval training
1478 Z. Milanovic
´
et al.
123
HIT to have appeal for those involved in the fitness pro-
gramming of older adults and patient populations, espe-
cially given that the safety concerns associated with HIT
are unfounded [55, 56]. Our supposition is supported by
recent evidence whereby HIT induced substantial
improvements in cardiovascular (e.g. VO
2max
), functional
fitness (e.g. sit-to-sta nd test) and health- related quality of
life/physical functioning following short (3 weeks) [53]
and long duration (13 weeks) [54] interventions. Our
findings of enhanced beneficial effects for HIT with longer
repetitions, greater work:rest ratios and longer training
interventions provides valuable information to those
involved in the design and implementation of HIT
programmes.
While information on the physiological mechanisms
subtending the improvements in VO
2max
following either
endurance training or HIT helps to explain changes in
VO
2max
, a discussion of physiological adaptations is
beyond the scope of our review. In this instanc e, we direct
readers to the articulate and comprehensive reviews of
Jones and Carter [57], Gibala et al. [58] and Sloth et al.
[20] for a detailed discussion of the underlying physio-
logical adaptations to endurance training and HIT.
Finally, the observed magnitude of the between-study
variation in the mean effect was moderate for endurance
training vs control and HIT vs control, and small for HIT vs
endurance training. As such, the mean effect, when com-
pared with control, lies typically between 3.6 mLkg
-1-
min
-1
(very likely moderate) and 6.2 mLkg
-1
min
-1
(very likely large) for endurance training, betwee n
4.2 mLkg
-1
min
-1
(most likely moderate) and
6.8 mLkg
-1
min
-1
(very likely large) for HIT, and
between -0.4 mLkg
-1
min
-1
(most likely trivial) and
2.0 mLkg
-1
min
-1
(likely small) for HIT compared with
endurance training.
5 Conclusion
Our meta-analysi s confirms that endurance training and
HIT both elicit large improvements in the VO
2max
of
healthy, young to middle-a ged adults with the effects being
greater for the less fit. Furthermore, when comparing the
two modes of training, the gains in VO
2max
are greater
following HIT. Given the well established link between
aerobic fitness and mortality, further investigations into the
manipulations of the HIT dose (e.g. repe tition intensity,
duration, work:rest ratio etc.) are therefore recommended
to enhance our understanding of the beneficial effects of
HIT.
Compliance with Ethical Standards No sources of funding were
used to assist in the preparation of this review. The authors have
no conflicts of interest that are directly relevant to the content of
this review.
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... HIIT has gained increasing popularity in the realms of fitness enthusiasts, sports competitors, and even public health (Buchheit and Laursen 2013). This approach is valued for its time efficiency and induces various health benefits, including improved body composition (Batacan et al. 2017;Maillard et al. 2018), CRF (Milanović et al. 2015), and vascular function (Costa et al. 2018). Adaptations to HIIT appear comparable, or even superior, to moderateintensity continuous training (MICT) (Milanović et al. 2015;Su et al. 2019;Sultana et al. 2019). ...
... This approach is valued for its time efficiency and induces various health benefits, including improved body composition (Batacan et al. 2017;Maillard et al. 2018), CRF (Milanović et al. 2015), and vascular function (Costa et al. 2018). Adaptations to HIIT appear comparable, or even superior, to moderateintensity continuous training (MICT) (Milanović et al. 2015;Su et al. 2019;Sultana et al. 2019). Nonetheless, traditional HIIT protocols are not particularly time-efficient, typically requiring 25 to 40 min per session (Gillen and Gibala 2014). ...
... The difference between the effects of HIIT and MICT on CRF has been a topic of increasing interest among researchers and practitioners (Milanović et al. 2015;Su et al. 2019;Sultana et al. 2019). In our meta-analysis, the effect of LV-HIIT on CRF (compared to MICT) was not significant, although the p-value was 0.15 and the results appeared to indicate a tendency for very small effect size (SMD = 0.18 [−0.06, 0.42]), suggesting that LV-HIIT is not inferior to MICT in improving CRF. ...
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The present meta-analysis aimed to assess the effects of low-volume high-intensity interval training (LV-HIIT; i.e., ≤5 min high-intensity exercise within a ≤15-min session) on cardiometabolic health and body composition. A systematic search was performed in accordance with PRISMA guidelines to assess the effect of LV-HIIT on cardiometabolic health and body composition. Twenty-one studies (moderate to high quality) with a total of 849 participants were included in this meta-analysis. LV-HIIT increased cardiorespiratory fitness (CRF, SMD=1.19 [0.87, 1.50]) while lowering systolic blood pressure (SMD=-1.44 [-1.68, -1.20]), diastolic blood pressure (SMD=-1.51 [-1.75, -1.27]), mean arterial pressure (SMD=-1.55 [-1.80, -1.30]), MetS z-score (SMD=-0.76 [-1.02, -0.49]), fat mass (kg) (SMD=-0.22 [-0.44, 0.00]), fat mass (%) (SMD=-0.22 [-0.41, -0.02]), and waist circumference (SMD= -0.53 [-0.75, -0.31]) compared to untrained control (CONTROL). Despite a total time-commitment of LV-HIIT of only 14-47% and 45-94% compared to moderate-intensity continuous training and HV-HIIT, respectively, there were no statistically significant differences observed for any outcomes in comparisons between LV-HIIT and moderate-intensity continuous training (MICT) or high-volume HIIT. Significant inverse dose–responses were observed between the change in CRF with LV-HIIT and sprint repetitions (β=−0.52 [-0.76, -0.28]), high-intensity duration (β=−0.21 [-0.39, -0.02]), and total duration (β=−0.19 [-0.36, -0.02]), while higher intensity significantly improved CRF gains. LV-HIIT can improve cardiometabolic health and body composition and represent a time-efficient alternative to MICT and HV-HIIT. Performing LV-HIIT at a higher intensity drives higher CRF gains. More repetitions, longer time at high-intensity, and total session duration did not augment gains in CRF.
... For example, Corte de Araujo et al. [10]reported that HIIE twice a week, (e.g., 3-6 sets of 60s sprint at 100% of the peak velocity with 3 min active recovery) and MICE (e.g., 30 min efforts at 80% peak HR) for 12-week programs were equally effective in lowering the insulinemia and HOMA-index, and reducing BMI and percentages of fat mass in children with obesity. However, there is also several studies which have investigated the effects of HIIE on anthropometric indices of health [14][15][16]and fitness markers [17][18][19] in young children with overweight or obesity, but most results suggest that HIIE is equally or and in some cases more effective in improving the physical fitness than MICE [19]. Since the findings mentioned above for HIIE protocol are from children and adolescent studies with comparisons between HIIE and low-or moderate-intensity exercises, it is still unclear whether this effect can be duplicated in school setting. ...
... For example, Corte de Araujo et al. [10]reported that HIIE twice a week, (e.g., 3-6 sets of 60s sprint at 100% of the peak velocity with 3 min active recovery) and MICE (e.g., 30 min efforts at 80% peak HR) for 12-week programs were equally effective in lowering the insulinemia and HOMA-index, and reducing BMI and percentages of fat mass in children with obesity. However, there is also several studies which have investigated the effects of HIIE on anthropometric indices of health [14][15][16]and fitness markers [17][18][19] in young children with overweight or obesity, but most results suggest that HIIE is equally or and in some cases more effective in improving the physical fitness than MICE [19]. Since the findings mentioned above for HIIE protocol are from children and adolescent studies with comparisons between HIIE and low-or moderate-intensity exercises, it is still unclear whether this effect can be duplicated in school setting. ...
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Background High-intensity interval running exercise (HIIE) is emerging as a time-efficient exercise modality for improving body composition and fitness in comparison with moderate-intensity continuous aerobic exercise (MICE); however, existing evidence is still unclear in children with overweight and thus we compared the effects of HIIE and MICE on body composition, muscular, and cardiorespiratory fitness in children with overweight. Methods In this randomized study, 40 male children with overweight aged 7–10 years were divided into an 8-week exercise regime: (1) HIIE group [n = 20; 2 sets of 15 × 20s at 85–95% maximal aerobic speed (MAS) separated by 15 × 20s recovery at 50% MAS, 3 days per week] and (2) MICE group [n = 20; 30 min at 60–70% MAS, 3 days per week]. Body composition, muscular and cardiorespiratory fitness were assessed before and after the 8-week intervention at similar times and conditions of the day. Results Following the 8-week HIIE protocol, weight, BMI, and fat mass decreased significantly (weight: − 1.4% vs. 0.2%, p < 0.05; BMI: − 3.1% vs. − 0.7%, p < 0.05; fat mass: − 7.7% vs. − 1.6%, p < 0.01) as compared with MICE; while the VO2peak and MAS increased significantly in both groups, the increase in HIIE group was significantly greater than that of MICE group (VO2peak: 10.3% vs. 3.5%, p < 0.01; MAS:7.7% vs. 4.5%, p < 0.05). Although significant improvements in muscular fitness were observed in HIIE and MICE groups [counter movement jump (CMJ): 7.8% vs. 5.4%; sprinting ability: − 3.7% vs. − 1.7%], no significant differences were seen between them (p > 0.05). Conclusion Our findings suggested that school-based HIIE intervention was highly in improving body composition and cardiorespiratory fitness of children with overweight than the MICE regime; however, MICE still provided improvements over time that were just not to the same magnitude of HIIE.
... In untrained and lesser-trained individuals, low intensity exercise is sufficient to improve ̇O 2 max , suggesting that both continuous and interval training are effective. By contrast in well-trained individual's, interval training is more effective (Milanović et al. 2015), with intensities between 95-100% ̇O 2 max recommended ). In the last decade, short (<30 sec) high intensity intervals have become a popular method of training to improve ̇O 2 max, however their effectiveness in well-trained athletes remains equivocal (Weston et al. 2014). ...
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Highlights • Middle and long distance running events are determined by a complex mix of factors • The highest rate of energy production that can be maintained for the race duration and the ability to convert that into movement determine middle and long-distance performance • The aerobic system is the main energy system used in middle and long distance running • The anaerobic system is important for middle-distance race and coping with changes of pace within a race • Appropriate training can improve all of the factors that determine middle and long distance performance
... Ramos et al. [16] found that HIIT enhances vascular function more effectively than MICT. Furthermore, Milanović et al. [17] observed more significant improvements in VO 2max following HIIT than after traditional endurance training, which is supported by Nybo et al. [15]. Similar tendencies were noted in psychological responses. ...
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This study aims to investigate the effects of self-paced high-intensity interval training (Sp-HIIT) vs. self-paced moderate-intensity continuous training (Sp-MICT) on aerobic fitness levels, psychophysiological responses, and antioxidant status to assess the relationship between aerobic fitness levels and antioxidant markers. Physically active young adults were randomised into Sp-HIIT and Sp-MICT groups. The intervention consisted of three weekly sessions during an eight-week period. Sp-HIIT consisted of performing two sets of 12-24 × 30 s high-intensity runs ≥ 85% HR max followed by 30 s rest periods, while Sp-MICT consisted of performing 24-48 min of continuous running at 60-75% HR max. Pre-and post-intervention testing included a maximal oxygen uptake (VO 2max) assessment during a 30-15 intermittent fitness test (30-15 IFT), as well as resting blood samples, which were analysed for oxidative stress markers (malondialdehyde (MDA)) and activity of intracellular antioxidant enzymes (catalase (CAT), superoxide dismutase (SOD) and reduced (GSH) and oxidized glutathione (GSSG)). The Sp-HIIT group showed a greater improvement in velocity of 30-15 IFT, VO 2max , and MDA responses. Furthermore, the Sp-HIIT group demonstrated higher psychophysiological responses than the Sp-MICT group, except for anger responses. In conclusion, these results suggest that Sp-HIIT has a higher level of beneficial exercise-induced effects in physiological responses with greater perceived exertion in physically active young adults.
... In uence of PA levels Interestingly, the initial level of PA did not appear to signi cantly in uence the intervention's effects, suggesting that PAL programs can bene t children across Furthermore, the difference in baseline VO 2 max between the two groups, with group 2 having higher baseline values than group 1, may in uence the observed change in VO 2 max in both groups, as discussed earlier. Typically, more substantial enhancements in VO 2 max are observed in individuals with lower baseline tness levels [70]. ...
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Background A substantial number of school-aged children face developmental vulnerabilities that significantly influence their future educational paths and societal contributions. Childhood physical inactivity, particularly the failure to meet recommended activity levels, is a concern, that negatively impacts holistic child development across cognitive, physical/motor, social, affective, and language domains. Concurrently, attention deficit hyperactivity disorder (ADHD), a prevalent neurodevelopmental condition, presents concerning implications affecting all these developmental domains. Recognizing that physical activity can notably optimize the developmental trajectory of these domains, the World Health Organization underscores the need for effective physical activity interventions within school settings. Promisingly, physically active learning (PAL) programs, seamlessly blending physical activity and learning, offer potential solutions. However, their impact on holistic child development remains incompletely understood. This study sought to evaluate the effect of a PAL program on holistic child development while exploring whether a child's initial physical activity level or the presence of ADHD influenced the intervention's effectiveness. Methods Eighty-two children aged 9–11 years, distributed across four classes, underwent random assignment to a PAL program (Group 1) or a no-contact control condition (Group 2), with an eight-week duration for each group before switching conditions. Assessments occurred at baseline (T0), after the first condition (T1), and after the second condition (T2). The intervention's efficacy, along with relevant covariates, was analyzed through ANCOVA. Results The PAL program exhibited a positive association with enhanced cardiovascular fitness (VO2max) and a reduction in ADHD symptoms, notably inattention and hyperactivity-impulsivity. Conclusions PAL interventions hold promise as effective school-based strategies to enrich physical/motor and affective development while mitigating the adverse impact of physical inactivity and ADHD symptoms.
... It is essential to emphasize the contribution of the fourth block of HIFT (Cardiometabolic Activity -HIIT) in improving body composition and cardiovascular health 35 . As in our study, Racil et al. 36 also demonstrated a significant reduction in the fat percentage, total cholesterol, LDL-cholesterol, fasting insulin and insulin resistance, increased VO2max and HDL cholesterol after 12 weeks of high-intensity interval training (100% to 110% of VO2max) compared to the moderate intensity interval (70% to 80% VO2max). ...
Article
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Introdução: O excesso de peso corporal e suas comorbidades representam um grave problema de saúde pública. Intervenções pautadas em dieta associada a prática de exercício físico têm se mostrado úteis para a perda de peso e melhora da saúde global da população, incluindo a saúde cardiovascular. Objetivo: Avaliar o efeito de 12 semanas de dieta hipocalórica com restrição de carboidrato (CHO) associada ao Treinamento Funcional de Alta Intensidade (HIFT) na saúde cardiometabólica de adultos com sobrepeso. Métodos: Trata-se de um ensaio clínico randomizado. Participaram 31 adultos com sobrepeso, divididos em dois grupos com base na intervenção dietética: CHO reduzido (R-CHO, ≤130g/dia; n=15) e CHO adequado (A-CHO, >130 g/dia; n=16). O risco cardiometabólico foi avaliado utilizando os parâmetros lipêmico, insulinêmico e glicêmico. Para avaliar os efeitos da intervenção foi aplicado ANOVA-two-way com post-hoc de Bonferroni, sendo considerado estatisticamente significativo valores de p<0,05. Resultados: Após 12 semanas de intervenção observou-se redução na concentração de LDL-c, VLDL-c, colesterol total e triacilglicerol, e do número de fatores de risco para doenças metabólicas, independente do grupo, e aumento do HDL-c, porém o resultado da análise intragrupo demonstrou que o aumento significativo do HDL-c foi observado apenas para o grupo A-CHO. Conclusão: As duas intervenções dietéticas se mostraram efetivas em promover a redução do risco cardiometabólico. No entanto, melhoras na concentração do HDL-c e na classificação final do risco cardiometabólico indicaram que a adequação do CHO da dieta parece ser uma melhor estratégia associada a restrição calórica e a prática de HIFT.
... Milanović et al. [28] found a potentially large positive effect on VȮ 2MAX of +5.5±1.2 ml kg −1 min −1 after HIIT compared to healthy controls who did not exercise in young to middle-aged healthy individuals. Moreover, HIIT may have additional benefits as it induces alterations in peripheral muscle tissue (e.g. ...
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High-intensity interval training (HIIT) is an appropriate training modality to improve endurance and therefore contributes to physical performance. This review investigates the effect of HIIT on functional performance in cancer patients. We reviewed the relative peak oxygen uptake (relV̇O2PEAK) and meta-analytical compared HIIT with moderate intensity continuous training (MICT). Furthermore, we took various training parameters under consideration. A systematic literature search was conducted in Scopus, PubMed, and Cochrane Library databases. For the review, we included randomized controlled trials containing HIIT with cancer patients. From this, we filtered interventions with additional MICT for the meta-analysis. Outcomes of interest were various functional performance assessments and V̇O2MAX. The research yielded 584 records which fit the inclusion criteria, of which 31 studies with n=1555 patients (57.4±8.6 years) could be included in the overall review and 8 studies in the meta-analysis (n=268, 59.11±5.11 years) regarding relV̇O2PEAK. Different functional outcomes were found, of which walking distance (+8.63±6.91% meters in 6-min walk test) and mobility (+2.7cm in sit and reach test) improved significantly due to HIIT. In terms of relV̇O2PEAK, the performance of cancer patients was improved by HIIT (10.68±6.48%) and MICT (7.4±4.29%). HIIT can be favored to increase relV̇O2PEAK (SMD 0.37; 95% CI 0.09–0.65; I2=0%; p=0.009). Effect sizes for relV̇O2PEAK improvements correlate moderately with total training volume (Spearman’s ρ=0.49; p=0.03), whereas percentage increases do not (Spearman’s ρ=0.24; p=0.14). Functional and physical outcomes were positively altered by different HIIT protocols and forms of implementation, whereas a tendency toward more effectiveness of HIIT vs. MICT was found for relV̇O2PEAK. Future studies should include functional parameters more often, to finally allow a comparison between both training protocols in this regard.
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High-intensity interval training (HIIT) and hyperbaric oxygen therapy (HBOT) induce reactive oxygen species (ROS) formation and have immunomodulatory effects. The lack of readily available biomarkers for assessing the dose–response relationship is a challenge in the clinical use of HBOT, motivating this feasibility study to evaluate the methods and variability. The overall hypothesis was that a short session of hyperbaric oxygen (HBO2) would have measurable effects on immune cells in the same physiological range as shown in HIIT; and that the individual response to these interventions can be monitored in venous blood and/or peripheral blood mononuclear cells (PBMCs). Ten healthy volunteers performed two interventions; a 28 min HIIT session and 28 min HBO2 in a crossover design. We evaluated bulk RNA sequencing data from PBMCs, with a separate analysis of mRNA and microRNA. Blood gases, peripheral venous oxygen saturation (SpvO2), and ROS levels were measured in peripheral venous blood. We observed an overlap in the gene expression changes in 166 genes in response to HIIT and HBO2, mostly involved in hypoxic or inflammatory pathways. Both interventions were followed by downregulation of several NF-κB signaling genes in response to both HBO2 and HIIT, while several interferon α/γ signaling genes were upregulated. Only 12 microRNA were significantly changed in HBO2 and 6 in HIIT, without overlap between interventions. ROS levels were elevated in blood at 30 min and 60 min compared to the baseline during HIIT, but not during/after HBO2. In conclusion, HBOT changed the gene expression in a number of pathways measurable in PBMC. The correlation of these changes with the dose and individual response to treatment warrants further investigation. Keywords: exercise; HIIT; ROS; oxidative stress; hyperbaric oxygen; microRNA; gene expression
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Background To determine rates of compliance (i.e., supervised intervention attendance) and adherence (i.e., unsupervised physical activity completion) to high-intensity interval training (HIIT) among insufficiently active adults and adults with a medical condition, and determine whether compliance and adherence rates were different between HIIT and moderate-intensity continuous training (MICT). Methods Articles on adults in a HIIT intervention and who were either insufficiently active or had a medical condition were included. MEDLINE, EMBASE, PsychINFO, SPORTDiscus, CINAHL, and Web of Science were searched. Article screening and data extraction were completed by two independent reviewers. Risk of bias was assessed using RoB 2.0 or ROBINS-I. Meta-analyses were conducted to discern differences in compliance and adherence between HIIT vs. MICT. Sensitivity analyses, publication bias, sub-group analyses, and quality appraisal were conducted for each meta-analysis. Results One hundred eighty-eight unique studies were included (n = 8928 participants). Compliance to HIIT interventions averaged 89.4% (SD:11.8%), while adherence to HIIT averaged 63% (SD: 21.1%). Compliance and adherence to MICT averaged 92.5% (SD:10.6%) and 68.2% (SD:16.2%), respectively. Based on 65 studies included in the meta-analysis, compliance rates were not different between supervised HIIT and MICT interventions [Hedge’s g = 0.015 (95%CI: − 0.088–0.118), p = .78]. Results were robust and low risk of publication bias was detected. No differences were detected based on sub-group analyses comparing medical conditions or risk of bias of studies. Quality of the evidence was rated as moderate over concerns in the directness of the evidence. Based on 10 studies, adherence rates were not different between unsupervised HIIT and MICT interventions [Hedge’s g = − 0.313 (95%CI: − 0.681–0.056), p = .096]. Sub-group analysis points to differences in adherence rates dependent on the method of outcome measurement. Adherence results should be interpreted with caution due to very low quality of evidence. Conclusions Compliance to HIIT and MICT was high among insufficiently active adults and adults with a medical condition. Adherence to HIIT and MICT was relatively moderate, although there was high heterogeneity and very low quality of evidence. Further research should take into consideration exercise protocols employed, methods of outcome measurement, and measurement timepoints. Registration This review was registered in the PROSPERO database and given the identifier CRD42019103313.
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Systematic reviews and meta-analyses are essential to summarize evidence relating to efficacy and safety of health care interventions accurately and reliably. The clarity and transparency of these reports, however, is not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (QUality Of Reporting Of Meta-analysis) Statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realizing these issues, an international group that included experienced authors and methodologists developed PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA Statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this Explanation and Elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA Statement, this document, and the associated Web site (http://www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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There is a demand for effective training methods that encourage exercise adherence during advancing age, particularly in sedentary populations. This study examined the effects of high-intensity interval training (HIIT) exercise on health-related quality of life (HRQL), aerobic fitness and motivation to exercise in ageing men. Participants consisted of males who were either lifelong sedentary (SED; N = 25; age 63 ± 5 years) or lifelong exercisers (LEX; N = 19; aged 61 ± 5 years). [Formula: see text] and HRQL were measured at three phases: baseline (Phase A), week seven (Phase B) and week 13 (Phase C). Motivation to exercise was measured at baseline and week 13. [Formula: see text] was significantly higher in LEX (39.2 ± 5.6 ml kg min(-1)) compared to SED (27.2 ± 5.2 ml kg min(-1)) and increased in both groups from Phase A to C (SED 4.6 ± 3.2 ml kg min(-1), 95 % CI 3.1 - 6.0; LEX 4.9 ± 3.4 ml kg min(-1), 95 % CI 3.1-6.6) Physical functioning (97 ± 4 LEX; 93 ± 7 SED) and general health (70 ± 11 LEX; 78 ± 11 SED) were significantly higher in LEX but increased only in the SED group from Phase A to C (physical functioning 17 ± 18, 95 % CI 9-26, general health 14 ± 14, 95 % CI 8-21). Exercise motives related to social recognition (2.4 ± 1.2 LEX; 1.5 ± 1.0 SED), affiliation (2.7 ± 1.0 LEX; 1.6 ± 1.2 SED) and competition (3.3 ± 1.3 LEX; 2.2 ± 1.1) were significantly higher in LEX yet weight management motives were significantly higher in SED (2.9 ± 1.1 LEX; 4.3 ± 0.5 SED). The study provides preliminary evidence that low-volume HIIT increases perceptions of HRQL, exercise motives and aerobic capacity in older adults, to varying degrees, in both SED and LEX groups.
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Objective To determine the effects of resistance training combined with either moderate-intensity endurance (MICT) or low-volume high-intensity interval (HIIT) training on cardiovascular risk profiles in patients with coronary artery disease. Design Factorial repeated-measures study design. Methods Nineteen patients were randomized into MICT (n = 10) or HIIT (n = 9), and attended 2 supervised exercise sessions a week for 6-months. The first 3-months involved exclusive MICT or HIIT, after which progressive resistance training was added to both groups for the remaining 3-months. Fitness (VO2peak), blood pressure and heart rate, lipid profiles and health related quality of life assessments were performed at pretraining, 3 and 6-months training. Results VO2peak increased from pretraining to 3-months in both groups (MICT: 19.8 ± 7.3 vs. 23.2 ± 7.4 ml·kg−1·min−1; HIIT: 21.1 ± 3.3 vs. 26.4 ± 5.2 ml·kg−1·min−1, p < 0.001) with no further increase at 6-months. Self-evaluated health and high-density lipoprotein were increased following 6-months of MICT, while all remaining indices were unchanged. Low-volume HIIT did not elicit improvements in lipids or health related quality of life. Blood pressures and heart rates were unchanged with training in both groups. Conclusions Findings from our pilot study suggest improvements in fitness occur within the first few months of training in patients with coronary artery disease, after which the addition of resistance training to MICT and HIIT elicited no further improvements. Given the importance of resistance training in cardiac rehabilitation, additional research is required to determine its effectiveness when combined with HIIT.