International Journal of Sports Physiology and Performance,
Journal Year:
2024,
Volume and Issue:
19(9), P. 963 - 972
Published: July 24, 2024
Training
characteristics
such
as
duration,
frequency,
and
intensity
can
be
manipulated
to
optimize
endurance
performance,
with
an
enduring
interest
in
the
role
of
training-intensity
distribution
enhance
training
adaptations.
is
typically
separated
into
3
zones,
which
align
moderate-,
heavy-,
severe-intensity
domains.
While
estimates
heavy-
boundary,
that
is,
critical
speed
(CS),
derived
from
habitual
training,
determining
moderate-heavy
boundary
or
first
threshold
(T1)
requires
testing,
costly
time-consuming.
Therefore,
aim
this
review
was
examine
percentage
at
T1
occurs
relative
CS.
High Altitude Medicine & Biology,
Journal Year:
2024,
Volume and Issue:
25(2), P. 113 - 121
Published: Jan. 11, 2024
Ramchandani,
Rashi,
Ioana
Tereza
Florica,
Zier
Zhou,
Aziz
Alemi,
and
Adrian
Baranchuk.
Review
of
athletic
guidelines
for
high-altitude
training
acclimatization.
PubMed,
Journal Year:
2024,
Volume and Issue:
23, P. 441 - 474
Published: Jan. 1, 2024
Participation
in
marathons
has
dramatically
increased
over
the
last
few
years.
Marathon
running
many
proven
beneficial
effects,
especially
on
cardiovascular
health
and
fitness.
Most
research
focused
physiologic
pathophysiologic
adaptations
connection
with
endurance
exercise.
Nevertheless,
marathon
also
a
major
impact
psychological
aspects
positively
influences
mental
health,
which
only
recently
attracted
interest.
The
present
narrative
review
aimed
to
personality
traits
of
runners
an
emphasis
recent
literature.
show
distinct
highly
characteristic
needed
successfully
finish
such
demanding
race,
i.e.,
strong
sense
vigor,
self-sufficiency,
intelligence
as
well
low
scores
anger,
fatigue,
tension,
depression.
Furthermore,
differences
are
detectable
between
different
sexes,
ages,
performance
level
groups.
This
significant
clinical
implications
for
athletes,
coaches
competition
organizers,
these
groups
patterns
traits.
Future
studies
should
focus
changes
cognition
mood
states
pre-,
during,
post-endurance
events,
during
training
periods.
Large-scale
comparing
by
sex,
age,
important
better
guidance.
See
graphical
abstract(Fig.
1).
Journal of Sports Sciences,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 10
Published: Nov. 2, 2023
The
short-term
scaling
exponent
alpha1
of
detrended
fluctuation
analysis
(DFA-a1)
heart
rate
variability
(HRV)
has
shown
potential
to
delineate
the
first
ventilatory
threshold
(VT1).
aims
this
study
were
investigate
accuracy
method
for
VT1
determination
in
runners
using
a
consumer
grade
chest
belt
and
explore
effects
acute
fatigue.We
compared
oxygen
uptake
(V̇O2)
(HR)
at
gas
exchange
V̇O2
HR
DFA-a1
value
0.75.
Gas
HRV
data
obtained
from
14
individuals
during
treadmill
run
involving
two
incremental
ramps.
Agreement
was
assessed
Bland-Altman
linear
regression.Bland-Altman
between
ramp
showed
mean
(95%
limits
agreement)
bias
-0.5
(-6.8
5.8)
ml∙kg-1∙min-1,
-0.9
(-12.2
10.5)
beats∙min-1,
with
R2
0.83
0.56,
respectively.
During
second
ramp,
differences
-7.3
(-18.1
3.5)
ml∙kg-1∙min-1
-12.3
(-30.4
5.9)
0.62
0.43,
respectively.A
chest-belt
derived
0.75
is
closely
related
VT1,
an
individual
level
being
similar
methods.
This
suggests
be
useful
exercise
intensity
demarcation.
altered
relationship
indicates
that
only
able
accurately
demarcate
thresholds
non-fatigued
state,
but
also
opens
opportunities
fatigue-based
training
prescription.The
determined
nonlinear
analyse
shows
close
agreement
threshold,
demarcation.The
fatigue
prescription.
Frontiers in Sports and Active Living,
Journal Year:
2025,
Volume and Issue:
6
Published: Jan. 6, 2025
High
intensity
interval
training
for
improving
maximal
oxygen
consumption
(VO2max)
is
a
fundamental
component
of
specific
preparation
phases
middle-
and
long-distance
runners.
In
this
context,
short
intervals
are
very
popular
in
practice.
The
aim
the
present
study
was
to
determine
whether
increasing
around
aerobic
speed
(vVO2max),
compared
traditional
long
runs,
leads
greater
time
spent
above
90%
VO2max.
12
highly
trained
middle
distance
runners
(7
males,
5
females)
completed
two
VO2max
sessions
(4
×
3
min
at
95%
vVO2max,
recovery:
50%
vVO2max
vs.
24
30
s
100%
55%
vVO2max)
on
treadmill
randomized
order.
Spiroergometric
data,
lactate
accumulation,
heart
rate
(HR)
perceived
exertion
determined.
This
allowed
recording
HRmax.
To
analyze
differences
between
sessions,
paired
t-test
respectively
Wilcoxon
test,
if
data
were
not
normally
distributed,
applied.
significantly
lower
30-s
intervals,
despite
higher
intensity,
3-min
session
(201.3
±
268.4
327.9
146.8
s,
p
=
0.05,
r
0.57).
contrast,
HRmax
than
(820
249
545
131
<
0.001,
d
1.73).
blood
concentrations
showed
values
(9.69
1.82
mmol/L)
(7.59
2.01
mmol/L,
2.34).
There
no
statistical
difference
rating
(30-s
session:
6.5
1.0
6.8
1.2;
0.26).
that
intensified
inferior
regarding
Given
observation
an
opposing
trend
HRmax,
parameter
should
be
interpreted
with
caution
settings.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 1249 - 1249
Published: Jan. 26, 2025
Background:
Muscle
strength
plays
a
critical
role
in
the
performance
of
middle-
and
long-distance
athletes.
However,
vertical
force–velocity
(F–V)
profile
has
not
been
studied
this
population.
The
objectives
study
were
twofold:
(i)
to
characterize
F–V
athletes
(ii)
explore
its
relationship
with
physiological
biomechanical
variables.
Methods:
Thirty-nine
highly
trained
(13
middle-distance
26
athletes),
comprising
men
(18)
women
(21),
participated
study.
Each
athlete
performed
squat-jump
determine
their
profile,
followed
by
two
5
min
bouts
low-intensity
running
graded
exercise
test
assess
kinematic
parameters.
Results:
Significant
differences
(p
≤
0.05)
observed
maximal
estimated
power
(Pmax)
jump
height
between
female
(21.20
±
4.78
W·kg−1
vs.
15.80
2.83
W·kg−1;
26.00
0.05
cm
19.50
0.03
cm),
male
(19.70
2.87
24.10
0.02
cm).
Stride
length
during
low
intensity
showed
significant
correlations
Pmax
(r
=
0.340)
0.374).
was
positively
associated
economy
(RE)
0.396)
VO2max
0.346),
negatively
correlated
imbalance
(FVimb)
−0.531).
Conclusions:
Middle-
demonstrate
similar
profiles;
however,
exhibit
rightward
shift,
resulting
higher
height,
particularly
among
women.
Nevertheless,
characteristics
display
only
weak
associations
variables
which
directly
influence
performance.
Sports Medicine - Open,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 27, 2025
Abstract
Background
Marathon
training
and
running
have
many
beneficial
effects
on
human
health
physical
fitness;
however,
they
also
pose
risks.
To
date,
no
comprehensive
review
regarding
both
the
benefits
risks
of
marathon
different
organ
systems
has
been
published.
Main
Body
The
aim
this
was
to
provide
a
racing
systems.
A
predefined
search
strategy
including
keywords
(e.g.,
marathon,
cardiovascular
system,
etc.)
free
text
used.
Articles
covering
regardless
sex,
age,
performance
level,
event
type
road
races,
mountain
marathons)
were
considered,
whereas
articles
examining
only
cycling,
triathlon,
stress-tests
or
other
sports
excluded.
In
total,
we
found
1021
in
PubMed,
Scopus,
Google
Scholar,
which
329
studies
included
review.
Overall,
offers
several
for
reduces
all-cause
mortality.
As
such,
it
improves
risk
factors,
leads
favorable
cardiac
adaptations,
enhances
lung
function,
quality
life
chronic
kidney
disease
patients.
It
gastrointestinal
mobility
specific
tumors
such
as
colorectal
cancer
hepatocellular
carcinoma.
bone
skeletal
muscle
metabolism.
further
positively
affects
hematopoiesis
cytotoxic
abilities
natural
killer
cells,
may
act
neuroprotective
long-term
basis.
After
changes
biomarkers
suggesting
pathological
events
certain
cardiovascular,
renal,
gastrointestinal,
liver,
hematological,
immune,
musculoskeletal,
central
nervous,
endocrine
can
often
be
observed.
Mostly,
these
are
limited
1–3
days
post-race
usually
normalize
within
week.
Moreover,
poses
serious
adverse
sudden
death
acute
liver
failure.
Concerning
decrease
after
race
Acute
injury,
well
electrolyte
imbalances,
relatively
common
amongst
finishers.
Many
runners
complain
symptoms
during
long-distance
running.
suffer
from
running-related
musculoskeletal
injuries
impairing
performance.
is
accompanied
by
an
inflammatory
response
with
transient
immunosuppression,
making
susceptible
infections.
Also,
hormonal
alterations
increased
cortisol
levels
decreased
testosterone
immediately
Disturbances
sleep
patterns
commonly
leading
up
directly
race.
Conclusion
All
all,
generally
safe
individual
Considering
high
popularity
running,
findings
supply
athletes,
coaches,
scientists,
medicine
practitioners
practical
applications.
Further
large-scale
system
needed.
Journal of Sports Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 13
Published: Feb. 21, 2025
Competitive
runners
compared
with
recreational
have
increased
odds
of
osteoarthritis
and
running-related
injury,
potentially
from
different
running
types.
We
distal
anterior
femoral
cartilage
deformation
in
competitive
following
a
continuous
high-intensity
interval
run
(10
×
400
m,
300
m
jog)
evaluated
the
association
between
kinetics
deformation.
Twenty-four
(11
females
13
males),
18
35
years
old
underwent
ultrasound
imaging
before
after
both
conditions
counterbalanced
order
2-7
days
apart.
Footwear
was
instrumented
force-sensing
insoles
to
extract
peak
ground
reaction
force,
loading
rate,
impulse.
A
2
(time)
by
(condition)
ANOVA
repeated
measures
change
thickness
conditions.
The
lateral
region
showed
greater
(p
=
0.003).
main
effect
time
seen
where
thinner
baseline
regardless
condition
(1.92
(1.82,
2.02)
vs.
1.83
(1.73,
1.93)
mm;
mean
difference
-0.094
(-0.147,
-0.042)
mm,
p
0.001).
No
significant
associations
were
found
or
impulse
(all
r
<
0.32,
all
>
0.05).
Interval
contributed
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 29, 2025
Ultra-marathon
running
-
where
races
are
held
in
distance-limited
(50
km,
50
miles,
100
etc.),
time-limited
(6
h,
12
24
48
72
and
multi-stage
is
gaining
popularity.
However,
we
have
no
knowledge
of
the
fastest
48-hour
runners
originate
held.
This
study
tried
to
determine
origin
predictor
factors
associated
with
ultra-marathon
performance,
such
as
age,
gender,
event
country,
country
race
course
specific
characteristics.
A
machine
learning
(ML)
model
based
on
XG
Boost
algorithm
was
built
predict
speed
from
athlete´s
origin,
occurs
characteristic
elevation
(flat
or
hilly)
surface
(asphalt,
cement,
granite,
grass,
gravel,
sand,
track,
trail).
Model
explainability
tools
were
then
used
investigate
how
each
independent
variable
would
influence
predicted
result.
sample
16,233
records
7,075
unique
originating
60
different
countries
participating
36
between
1980
2022
analyzed.
Participation
spread
across
many
countries,
USA,
France,
Germany,
Australia
at
top
participants'
rankings.
Athletes
Japan,
Israel,
Iceland
achieved
average
speed.
The
Great
Britain,
Netherlands,
Egypt.
showed
that
course)
(track)
variables
had
a
larger
athlete
hold
most
important
features
by
SHAP
analysis,
yielding
broader
range
outputs.
Men
~
0.5
km/h
faster
than
women.
Most
finishers
45-49
years
old,
this
age
group
speeds.
In
summary,
for
fast
races,
whilst
lead
broadest
difference
range.
Any
intending
achieve
personal
best
performance
format
can
benefit
these
findings
selecting
appropriate
course.