Editorial: Training load in sport: current challenges and future perspectives
Frontiers in Sports and Active Living,
Год журнала:
2025,
Номер
7
Опубликована: Фев. 21, 2025
The
concept
of
training
load
is
not
merely
a
measure
the
amount
work
performed,
it
complex
interplay
factors
that
can
significantly
influence
an
athlete's
performance
trajectory
(3).
Understanding
how
to
optimize
essential
maximizing
athletic
while
minimizing
risks
excessive
fatigue,
injury,
and
overtraining,
which
negatively
impact
ability
compete
train
effectively,
as
well
overall
health
(1)
Recent
research
has
demonstrated
clear
relationship
between
increasing
loads
incidence
injuries,
particularly
in
high-impact
sports
where
risk
cumulative
trauma
increased
(4,5).
Therefore,
comprehensive
understanding
dynamics
crucial
for
coaches
athletes
enable
balance
be
found
thresholds
injury
risk.Recent
advances
technology
data
analytics
have
revolutionized
way
are
monitored
managed.
integration
wearable
devices
software
applications
allows
realtime
tracking
physiological
responses
training,
providing
valuable
insights
into
their
recovery
needs
readiness
(6).
This
type
data-driven
approach
facilitates
creation
individualized
programs
consider
physical,
physiological,
psychological
profiles,
consequently
promote
satisfaction
reduce
(7).
Furthermore,
emphasis
on
aligned
with
contemporary
philosophies
advocate
athlete-centered
methodologies,
contribution
experiences
optimization
process
(8)
To
clarify
further
explore
these
issues,
this
Research
Topic,
Training
Load
Sport:
Current
Challenges
Future
Perspectives,
presents
collection
studies
explored
current
perspective
knowledge
challenges
associated
effects
careful
manipulation
management
across
different
competitive
levels.Throughout
topic,
there
were
numerous
contributions
investigate
state
future
perspectives
relation
sport.
Tilp
et
al.
(9)
investigated
systemic
local
muscle
breaking
points
single-leg
cycling,
finding
strong
correlations
but
significant
individual
variability.
Similarly,
Kårström
(10)
revealed
discrepancies
internal
external
assessments
biathlon,
suggesting
multimodal
necessary
accurate
monitoring.
Masur
(11)
infrared
thermography
noninvasive
tool
track
burden,
although
inconsistencies
its
traditional
markers
indicate
validation
needed.
Meanwhile,
methods,
such
those
by
Wei
(12)
Quan
(13),
showed
small-sided
games
(SS)
high-intensity
interval
(HITT)
generate
varied
benefits,
especially
lower
physical
conditioning.
Sheykhlouvand
Gharaatin
(14)
turn,
analysed
adaptations
cardiorespiratory
fitness
biomotor
skills
soccer
players
trained
short
sprint
(sSIT)
SSG.
sSIT
promoted
more
homogeneous
ventilatory
thresholds,
stroke
volume,
maximal
power,
SSG
proportions
responders
oxygen
uptake,
anaerobic
greater
effectiveness
consistent
adaptations.
Talsnes
(15)
splitting
moderate-intensity
two
shorter
sessions
reduces
stress
maintaining
adaptations.Physiological
go
beyond
outcomes,
influencing
vascular
function,
muscular
strategies.
Sugawara
(16)
observed
football
matches
induced
transient
reductions
arterial
wave
reflection
without
stiffness,
adaptive
repeated
exposure
matches.
Yu
(17)
recommended
periodized
HIIT,
sprint,
threshold
sedentary
youth
maximize
cardiovascular
benefits
avoiding
overload.
Studies
strength
power
development
also
provided
stimuli.
Cui
(18)
identified
specific
velocity
loss
enhance
post-activation
potentiation
boxers.
Naczk
al
(19)
inertial
offers
small
advantages
over
resistance
knee
extensor
strength.
Singer
(20)
pointed
out
rest
intervals
longer
than
60
seconds
may
provide
additional
hypertrophic
90
seconds.
Ma
(21)
blood
flow
restriction
viable
alternative
conventional
offering
similar
improvements
thickness.Injury
prevention
strategies
components
effective
management.
Huang
(22)
examined
whole-body
cryotherapy
(WBC)
elite
rowers,
concluding
WBC
accelerates
lactate
clearance,
does
improve
recovery.
Xie
(23)
HIIT
continuous
improving
post-exercise
clearance.
In
context
prevention,
Iwasaki
(24)
established
link
contact
rugby
players,
emphasizing
importance
monitoring
acute
chronic
workload
ratios.
Reverte-Pagola
(25)
LaLiga
who
did
participate
FIFA
World
Cup,
optimized
during
tournament
break
led
improved
acceleration
performance.
(26)
load-adjusted
improves
punching
capacity
energy
efficiency
female
boxers
effectively
methods.
Язык: Английский
Impact of congested match schedules during the COVID-19 pandemic on technical and physical performance in the Chinese Super League
International Journal of Performance Analysis in Sport,
Год журнала:
2025,
Номер
unknown, С. 1 - 13
Опубликована: Март 13, 2025
Язык: Английский
Match-to-Match Variation on High-Intensity Demands in a Portuguese Professional Football Team
Journal of Functional Morphology and Kinesiology,
Год журнала:
2024,
Номер
9(3), С. 120 - 120
Опубликована: Июль 4, 2024
The
aim
of
this
study
was
to
analyze
the
match-to-match
variation
in
high-intensity
demands
from
one
Portuguese
professional
football
team
according
playing
positions.
Twenty-three
male
outfield
players
were
observed
during
eighteen
matches
Second
League.
Time–motion
data
collected
using
Global
Positioning
System
(GPS)
technology.
Match
running
performance
analyzed
based
on
following
three
positions:
defenders
(DF),
midfielders
(MF),
and
forwards
(FW).
Repeated
measures
ANOVA
utilized
compare
match
within
each
position
role,
seasonal
variation.
Practical
differences
assessed
smallest
worthwhile
change
(SWC),
coefficient
(CV),
twice
(2CV).
Significant
found
among
positions
total
distance
covered
(F
=
15.45,
p
<
0.001,
η2
0.33),
average
speed
12.79,
0.29),
high-speed
16.93,
0.36),
sprinting
13.49,
0.31),
accelerations
4.69,
0.132),
decelerations
12.21,
0.284).
encompassed
TD
(6.59%),
AvS
(8.67%),
HSRr
(37.83%),
SPR
(34.82%),
ACC
(26.92%),
DEC
(27.85%).
CV
values
for
ranged
4.87–6.82%,
with
exhibiting
greatest
variation,
respectively.
Midfielders
demonstrated
highest
all
other
variables
(8.12–69.17%).
All
showed
significant
high-demanding
(26.94–37.83%).
This
presents
initial
analysis
a
team.
Thus,
position’s
specificity
context
can
provide
helpful
strategy
evaluating
performance,
recommending
individualized
training
exercises
peak
player’s
role
game.
Язык: Английский
Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach
Sports,
Год журнала:
2024,
Номер
12(7), С. 194 - 194
Опубликована: Июль 16, 2024
Utilizing
techniques
for
reducing
multivariate
data
is
essential
comprehensively
understanding
the
variations
and
relationships
within
both
biomechanical
physiological
datasets
in
context
of
youth
football
training.
Therefore,
objective
this
study
was
to
identify
primary
factors
influencing
training
sessions
a
standard
microcycle
among
young
sub-elite
players.
A
total
60
male
Portuguese
footballers
(15.19
±
1.75
years)
were
continuous
monitored
across
six
weeks
during
2019-2020
in-season,
comprising
days
from
match
day
minus
(MD-)
3,
MD-2,
MD-1.
The
weekly
load
collected
by
an
18
Hz
global
positioning
system
(GPS),
1
heart
rate
(HR)
monitors,
perceived
exertion
(RPE)
quality
recovery
(TQR).
principal
component
approach
(PCA)
coupled
with
Monte
Carlo
parallel
analysis
applied
datasets.
condensed
into
three
five
components,
explaining
between
37.0%
83.5%
explained
variance
(proportion
cumulative)
according
(
Язык: Английский
Classification of recovery states in U15, U17, and U19 sub-elite football players: a machine learning approach
Frontiers in Psychology,
Год журнала:
2024,
Номер
15
Опубликована: Окт. 29, 2024
A
promising
approach
to
optimizing
recovery
in
youth
football
has
been
the
use
of
machine
learning
(ML)
models
predict
states
and
prevent
mental
fatigue.
This
research
investigates
application
ML
classifying
male
young
players
aged
under
(U)15,
U17,
U19
according
their
state.
Weekly
training
load
data
were
systematically
monitored
across
three
age
groups
throughout
initial
month
2019-2020
competitive
season,
covering
18
sessions
120
observation
instances.
Outfield
tracked
using
portable
18-Hz
global
positioning
system
(GPS)
devices,
while
heart
rate
(HR)
was
measured
1
Hz
telemetry
HR
bands.
The
rating
perceived
exertion
(RPE
6-20)
total
quality
(TQR
scores
employed
evaluate
exertion,
internal
load,
state,
respectively.
Data
preprocessing
involved
handling
missing
values,
normalization,
feature
selection
correlation
coefficients
a
random
forest
(RF)
classifier.
Five
algorithms
[K-nearest
neighbors
(KNN),
extreme
gradient
boosting
(XGBoost),
support
vector
(SVM),
RF,
decision
tree
(DT)]
assessed
for
classification
performance.
K-fold
method
cross-validate
outputs.
Язык: Английский